Abstract
Microglia are highly dynamic in the brain in terms of their ability to migrate, proliferate, and phagocytose over the course of an individual's life. Real-time imaging is a useful tool to examine how microglial behavior is regulated and how it affects the surrounding environment. However, microglia are sensitive to environmental stimuli, so they possibly change their state during live imaging in vivo, mainly due to surgical damage, and in vitro due to various effects associated with culture conditions. Therefore, it is difficult to perform live imaging without compromising the properties of the microglia under physiological conditions. To overcome this barrier, various experimental conditions have been developed; recently, it has become possible to perform live imaging of so-called surveillant microglia in vivo, ex vivo, and in vitro, although there are various limitations. Now, we can choose in vivo, ex vivo, or in vitro live imaging systems according to the research objective. In this review, we discuss the advantages and disadvantages of each experimental system and outline the physiological significance and molecular mechanisms of microglial behavior that have been elucidated by live imaging.
Introduction
Under physiological conditions, microglia have multiple finely branched protrusions, i.e., ramified processes, that constantly extend, and retract to monitor the extracellular environment (–). This dynamic process extension and retraction is characteristic of microglia, as neurons and astrocytes do not show significant morphological changes of their primary processes. These properties of microglia cannot be overlooked because they modulate microglial functions: production and directed release of inflammatory mediators, phagocytosis of pathogens and aggregate proteins, and cell–cell contacts (). However, without a live imaging system, it is difficult to verify these phenomena; for example, if microglial density increases in a region as a result of observing fixed specimens, it is unclear whether this is due to microglial proliferation or migration. Additionally, it is difficult to discriminate whether increased cytokine expression or increased phagocytosis is the cause or effect of changes in the surrounding environment. Thus, understanding the molecular mechanisms and physiological significance of microglial motility requires direct live imaging of microglia while performing genetic and pharmacological manipulations.
Real-time imaging of microglia is essential; however, it is extremely difficult to observe microglia in their endogenous state in the brain. This is because microglia are sensitive to changes in the extracellular environment and can easily change their state during preparatory steps in experimental procedures, such as craniotomy (removal of the skull and replacement with a glass coverslip to allow transcranial viewing) for in vivo imaging, brain slice preparation for ex vivo imaging, and brain isolation for preparing cultures for in vitro imaging. More specifically, this may occur by surgical damage when performing live imaging in vivo and by various influences associated with culture conditions when performing live imaging in vitro, such as the presence or absence of other types of cells, the contents, serum, pH, and osmolality of the medium (–). Thus, if the microglia have already responded to the process of preparation in experiments, there is a possibility that further response of microglia by stimuli, including physical or pharmacological stimulation, may be underestimated, masked, or altered.
The spatiotemporal resolution of real-time imaging of microglia has improved considerably in recent years due to a variety of conditional investigations of observational techniques to overcome problems mentioned above. In this review, we highlight studies that performed live imaging of microglia in vivo, ex vivo (acutely prepared brain slices and organotypic brain slice cultures), and in vitro (dispersed culture of primary microglia). We further review the results of these studies, which are important for improving our understanding of microglial function and identity. In particular, it has been reported that the basic morphology and motility of microglial processes seen in vivo can be to some extent reproduced in acute slice and slice cultures (Figure 1). Therefore, in the following sections, observed phenomena (i.e., migration and phagocytosis), animal types (mouse, rat, and zebrafish), sample preparation methods (i.e., craniotomy, preparation of brain slices, and isolation of microglia from the brain), imaging conditions, and quantifiable parameters are compared to help microglial researchers interpret findings from live imaging studies and select appropriate methods for observing microglial dynamics.
Figure 1
In vivo Live Imaging
Essential Methods for in vivo Live Imaging
Preparation of Imaging Window
Mice and zebrafish have been often used for in vivo live imaging of microglia (Table 1). As the whole body including the brain of zebrafish is transparent, high-resolution imaging can be expected in any region if the sample is properly embedded and fixed in a gel. On the other hand, in case of mice, it is necessary to surgically create an imaging window because the skin and skull are not transparent enough for live imaging of the brain.
Table 1
| Animal | Age | Skull | Anesthesia | Region (depth from the surface) | Cellular visualization | Microscopy | Objective lens | Resolution (x, y) z stack | Interval time Total time | References |
|---|---|---|---|---|---|---|---|---|---|---|
| CX3CR1-GFP+/− mice | 2 mo | Thinned | Isoflurane | Cortex | GFP (microglia) | Two-photon | 25x (NA = 1.05) | – 1 μm step | 1.5 min 13.5 min | Abiega et al. ( |
| CX3CR1-GFP+/− mice | 8–12 mo | Open | Isoflurane | Cortex | GFP (microglia) | Two-photon | 20x (NA = 1.0) | 317 × 317 μm 50–80 μm with 1 μm step | – 22 days | Askew et al. ( |
| CX3CR1-GFP+/− mice | 8–10 wo | Thinned | – | Cortex (100–150 μm) | GFP (microglia) mCherry (axonal bouton) | Two-photon | 25x (NA = 1.10) | 1,024 × 1,024 pixel (0.1269 μm/pixel) 1 μm step | 1 min 3 h | Badimon et al. ( |
| C57BL/6 mice | 2–6 mo | Thinned | Isoflurane | Somatosensory cortex (~330 μm) | Twitch-2B (microglia) | Confocal | 20x (NA = 1.0), 40x (NA = 0.8) | 0.15–0.31 μm/pixel | 1 frame/s, 10 min or 0.13 frame/s, 30–120 s | Brawek et al. ( |
| pU.1::Gal4-UAS::TagRFP, mpeg1::Gal4-UAS::Kaede, nbt::DlexPR::NTR-mCherry, and slc7a7::Kaede (zebrafish) | 2–3 dpf | – | 0.01% tricaine | RFP, Kaede (microglia) mCherry (neuron) | Confocal | 20x (NA = 0.4), 10x (NA = 0.25) | – 30–40 planes with 1.5–2 μm step | – | Casano et al. ( | |
| C57BL/6 mice | P4-19 | Open | Isoflurane | Cortex (300–450 μm) | EGFP (neuron) | Two-photon | 40× | 78 × 79 μm 20 sections with 1 μm step | – ~2 h | Cruz-Martin et al. ( |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | – | Thinned | Ketamine and xylazine | Cortex (~300 μm) | GFP (microglia) YFP (neuron) SR101 (astrocyte) Hoechst (nuclei) | Two-photon | 20x (NA = 1.0) | 1,024 × 1,024 pixel (0.204 μm/pixel) 34 planes with 3 μm step | 2–3 h – | Damisah et al. ( |
| CX3CR1-GFP+/− mice | – | Thinned | Ketamine and xylazine | Cortex (~200 μm) | GFP (microglia) | Two-photon | 40x (NA = 0.8), 60x (NA = 0.9 or 1.0) | – 0.75–2 μm step | – | Davalos et al. ( |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | – | Thinned | – | Cortex | GFP (microglia) YFP (neuron) Alexa594 (fibrinogen) | Multi-photon | 10x (NA = 0.4), 40x (NA = 0.8) | – 1.0–1.5 or 3–4 μm step | 120–240 s 30–90 min | Davalos et al. ( |
| CX3CR1-GFP+/− mice | – | Open | Mixture of ketamine, xylazine and acepromazine | Spinal cord | GFP (microglia) rhodamine dextran (vessel) | Two-photon | – | – | – | Davalos et al. ( |
| CX3CR1-GFP+/− mice | P40-130 | Open | Pentobarbital sodium and methohexital sodium | Spinal cord | GFP (microglia) | Two-photon | 40x (NA = 0.75), 20x (NA = 1.0) | 256 × 256 or 1,024 × 1,024 pixel (0.24–0.72 μm/pixel) 16–24 planes with 1.5–2.0 μm step | 1–2 min – | Dibaj et al. ( |
| WT mice CX3CR1-GFP+/− mice | 2–4 mo | Thinned | Isoflurane | Cortex | GFP, OGB-1, Fluo-4, Isolectin B4 conjugated to Alexa Fluor 594 (microglia) | Two-photon | 40x (NA = 0.8), 60x (NA = 1.0) | – 10 μm with 1 μm step | – | Eichhoff et al. ( |
| CD11b-CreERT2;R26-tdTomato;APPPS1 mice | 4, 10 mo | Open | Isoflurane | Cortex (200–250 μm) | tdTomato (microglia) | Two-photon | 25x (NA = 0.95) | 0.27 μm/pixel or 1.49 μm/pixel – | Biweekly or monthly 1.5 years | Füger et al. ( |
| TH-tdTomato+/−; CX3CR1-GFP+/− mice | P56 | Thinned | Isoflurane | Olfactory bulb | GFP (microglia) TH neuron (mCherry) | Two-photon | 20x (NA = 1.0) | 0.09 μm/pixel or 0.99 μm/pixel – | 30 s 10 min | Grier et al. ( |
| Thy1-YFP+/− mice CX3CR1-EGFP+/− mice | – | Thinned | Ketamine and xylazine | Cortex (~100 μm for neuron and ~200 μm for microglia) | YFP (neuron) EGFP (microglia) | Two-photon | 60x (NA = 1.1) | 512 × 512 pixel (66.7 × 66.7 μm) 0.75 μm step | – ~2 h | Grutzendler et al. ( |
| Thy1-YFP+/− mice (H-line) | 6–7 mo | Open | Ketamine and xylazine | Hippocampus (50 μm below the pyramidal cell layer) | YFP (neuron) | Two-photon | 16x (NA = 0.8) | 100 × 100 μm (0.09 μm/pixel) 60 μm with 1 μm step | 4 d interval – | Gu et al. ( |
| CX3CR1-GFP+/− mice | – | Thinned | – | Cortex | GFP (microglia) | Two-photon | - | – 15 planes with 2 μm step | 4 min 40 min | Haynes et al. ( |
| mpeg1:GFP (zebrafish) | 4 dpf | – | 0.01% MS-222 | Brain (100–150 μm) trunk(80–120 μm) | GFP (microglia) PI (dead cell) | Confocal | - | – 3.6–6 μm step | 6 min – | Herzog et al. ( |
| CX3CR1-GFP+/−;Cnp-mEGFP+/−;Plp-DsRed+/− mice | P30-1,100 | Thinned or open | – | Somatosensory cortex (~75 μm) | GFP (microglia) mEGFP (myelin) DsRed (oligodendrocyte) | Confocal or two-photon | 20x (NA = 1.0) | – | – | Hill et al. ( |
| CX3CR1-GFP+/− mice | 6–10 wo | Thinned | Awake or mixture of ketamine and xylazine or pentobarbital | Somatosensory cortex (50–150 μm) | GFP (microglia) | Two-photon | 20x (NA = 0.95) | 521 × 521 pixel (0.38 μm/pixel) 26–37 planes with 1 μm step | 30 s 15–20 min | Hristovska et al. ( |
| NSG-CCR2-RFP+/−;CX3CR1-GFP+/− mice | 8–12 wo | – | Isoflurane | Frontal cortex | GFP (microglia) RFP (macrophage) BFP (tumor) | Two-photon | 20x (NA = 0.95) | 1,024 × 1,024 pixel (0.584 μm/pixel) 7 planes with 1 μm step | – | Hutter et al. ( |
| Thy1-GFP+/− mice (M-line) | – | Open or thinned | Ketamine and xylazine | Somatosensory cortex (~100 μm) | GFP (neuron) | Two-photon | 25x (NA = 1.05) | 78 × 78 μm (0.15 μm/pixel) 0.75 or 0.5 μm step | 90 min – | Isshiki and Okabe ( |
| Tg(Apo-E:eGFP) (zebrafish) | 5–8 dpf | – | Awake | – | GFP (microglia) OGB-AM (Ca2+) | Confocal or two-photon | 40x (NA = 0.80) | – 1 μm step | 2–4 s or 1.5–5 min | Li et al. ( |
| CX3CR1-GFP+/− mice | 2–3 mo | Open | Awake or isoflurane or ketamine and xylazine | Cortex | GFP (microglia) | Two-photon | 40x | 512 × 512 pixel (0.35 μm/pixel) 8 planes with 2 μm step | 1 min – | Liu et al. ( |
| Iba1-EGFP+/− mice | P8-10 | Open | Urethane and atropine or awake | Cortex (45–250 μm) | GFP (microglia) tdTomato (neuron) GCaMP6m (Ca2+) | Two-photon | 25x (NA = 1.05) | 512 × 512 pixel (0.099 μm/pixel) 0.5 μm step | 5 min, 30 min-2 h or 1.6 s-1 min, 27 min or 8 Hz, 30 min | Miyamoto et al. ( |
| Tg(mpeg1:GAL4, UAS:mCherry); rwTg(isl1:GFP); Tg(-3.5ubb:secAnnexin V-mVenus) (zebrafish) | 2–5 dpf | – | 0.01% tricaine | Spinal cord | mCherry (microglia) GFP (neuron) mVenus (AnnexinV) | Confocal | 10x (NA = 0.3), 40x (NA = 0.8), 63x (NA = 0.9) | – 10–15 planes with 1–2 μm step | 3–8 min | Morsch et al. ( |
| CX3CR1-GFP+/− mice | 1.5–15 mo | Thinned | Isoflurane | Cortex (75 μm) | GFP (microglia) | Two-photon | – | – 15–25 planes with 1–2 μm step | 20–45 s Several hours | Nimmerjahn et al. ( |
| CX3CR1-GFP+/− mice | 2–4, 9–11, 18–21 mo | Thinned | Isoflurane | Cortex (80–100 μm) | GFP (microglia) Oregon Green 488 (Ca2+) | Two-photon | 40x (NA = 0.80) | – | 4 frames/s or 10 frames/s or 30 s, 20 min | Olmedillas Del Moral et al. ( |
| CX3CR1CreER/+: Thy1 YFP-H mice | P19-34 | Thinned | Ketamine and xylazine | Motor cortex (~100 μm) | YFP (neuron) | Two-photon | 60x (NA = 1.1) | – | 4 d – | Parkhurst et al. ( |
| ApoE-GFP;NBT-DsRed (zebrafish) | 3 dpf | – | 0.01% tricaine | – | GFP (microglia) DsRed (neuron) LysoTracker DND-9 (lysosome) | Confocal | 40x (NA = 1.2) | – 4 stacks spanning 10 μm | – | Peri et al. ( |
| PC::G5-tdTomato mice | 2–4 mo | Thinned | Isoflurane | Visual or somatosensory cortex (~100 μm) | tdTomato (microglia) GCaMP5G (Ca2+) | Two-photon | 16x (NA = 0.8) | 512 × 512 or 1,024 × 1,024 pixel | 0.125 frames/s or 0.5 Hz – | Pozner et al. ( |
| B6.Cg-Tg(Thy1-YFP)HJrs/J mice (#003782, JaxLab) | 4–10 wo | Open | Isoflurane and ketamine | Somatosensory cortex | YFP (neuron) | Two-photon | 25x (NA = 1.05) | 166.7 × 166.7 μm (512 × 512 or 800 × 800 pixel) 30–70 μm with 1 μm step | 24 h – | Pryazhnikov et al. ( |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | 3–17 wo | Open | Awake or dexmedetomidine and midazolam | Cortex | GFP (microglia) YFP (neuron) | Two-photon | 20x (NA = 0.95) | – 1 μm step | 5 min 1 h | Stowell et al. ( |
| CX3CR1-GFP+/− mice | 3–4 mo | Open | Awake or isoflurane or ketamine | Cortex (100–150 μm) | GFP (microglia) | Two-photon | 20x (NA = 1.00) | 512 × 512 pixel (0.77 μm/pixel) 6 planes with 2 μm step | 20 s 33 min | Sun et al. ( |
| CX3CR1-GFP+/− mice, CX3CR1CreER-eYFP mice, and Rosa-CAG-LSL-eYFP-WPRE mice | 2–5 mo | Open | Isoflurane | Somatosensory cortex (50–100 μm) | GFP, YFP (microglia) Evans lue,Rhodamine-dextran (vessel) | Multi-photon | 40x (NA = 0.8) | 800 × 800 pixel (0.18 μm/pixel) – | 4 min 40–60 min | Taylor et al. ( |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | P28-39 | Thinned | – | Primary visual cortex (50 μm) | GFP (microglia) YFP (neuron) | Two-photon | 20x (NA = 0.95) | – 1 μm step | 5 min 30 min-2 h | Tremblay et al. ( |
| Rosa26-CAG-LSL-GCaMP6s mice, Rosa26-CAG-LSL-Lck-GCaMP6f mice, and CX3CR1CreER−eYFP mice | 3–5 mo | Open | Awake | Somatosensory cortex (55–80 μm) | GCaMP6s, GCaMP6f (Ca2+) GFP (microglia) | Two-photon | 16x (NA = 0.8) | 512 × 512 pixel (300 × 300 μm) | 1 s – | Umpierre et al. ( |
| Iba1-EGFP+/−;Thy1-GFP+/− mice | 6–10 wo | Thinned | Ketamine and xylazine | Cortex (100–250 μm) | GFP (microglia) YFP (neuron) | Two-photon | 60x (NA = 1.1) | – 40–50 planes with 0.5 μm step | 0.3–1.0 s – | Wake et al. ( |
| Thy1-YFP+/− mice (H-line) | 2–7 mo | Open or thinned | – | Barrel cortex (0–100 μm) | YFP (neuron) | Two-photon | 60x (NA = 0.9) | – | – | Xu et al. ( |
| Tg(-2.8elavl3:eGFP; coro1a:DsRedx) (zebrafish) | 1–5 dpf | – | Awake or 0.01% tricaine | – | DsRed-Express (microglia) GFP (neuron) | Confocal | 20x | – 40–50 planes with 3 μm step | 3–5 min – | Xu et al. ( |
| Thy1-YFP+/− mice (H-line) CX3CR1-EGFP+/− mice | – | Thinned | Ketamine and xylazine | Cortex (~100 μm for neuron and ~200 μm for microglia) | YFP (neuron) EGFP (microglia) | Two-photon | 60x (NA = 1.1) | 512 × 512 pixel (66.7 × 66.7 μm) 0.75 μm step | – ~2 h | Yang et al. ( |
| Thy1-YFP+/− mice Thy1-GFP+/− mice | 1 mo | Thinned | Ketamine and xylazine | Motor cortex (100–200 μm) | YFP or GFP (neuron) | Two-photon | 60x (NA = 1.1) | 70 × 70 μm (512 × 512 pixels) 9 planes with 0.7 μm step | – | Yu et al. ( |
Experimental conditions of live imaging of microglia in vivo.
mo, month-old; dpf, days post-fertilization; wo, week-old; P, post-natal day; –, not available.
Since 2005, there has been increasing research on in vivo live imaging of microglia, and now thinned skull and open skull are recognized as the two major methods for preparing imaging window. The pros and cons of each method are well-summarized in the review article by Dorand et al. (
It is important to consider whether to use an open skull method or a thinned skull method, depending on the brain region or phenomenon being targeted. It should also be noted that both methods require technical proficiency of the experimenter to increase the success rate, and that there are difficulties in in vivo live imaging to achieve a high level of imaging between specimens.
Anesthesia
Proper anesthesia of animals is essential for in vivo live imaging. Live imaging with awake animals using head fixation is possible, and although many papers have been published on awake imaging, there is no doubt that anesthesia is useful for reducing motion artifacts, which may affect live imaging of microstructures such as synapses and microglial filopodia, and achieving more stable imaging. However, there is still the problem that the activity of each brain cell (including neuronal firing and microglial motility) is affected by anesthesia. For example, anesthesia suppresses neuronal firing activity (
Phenomena Verified by in vivo Live Imaging
Colonization of Microglia
During the embryonic period, microglia migrate from the yolk sac to the brain parenchyma. In 2016, Xu et al. observed the migration of microglia in zebrafish larvae using live imaging (
Casano et al. published a paper around the same time as Xu et al. in which they also examined the relationship between developmental microglial colonization and apoptotic cells (
Contrary to the findings by Xu et al. (
Askew et al. examined the mechanism of microglial population maintenance by live imaging over 22 days (
Microglial proliferation is known to be enhanced in the brain following neurodegeneration and injury. Füger et al. developed an impressive method to examine the rate of microglial proliferation and turnover (
Microglial Contact to Other Type of Cells
One of the most important things that cannot be revealed without live imaging is how microglia interact with other cell types. By observing this interaction, we can discover new phenomena and get ideas for examining cell-cell signaling. In a report by Nimmerjahn et al. (
The improved imaging resolution has enabled real-time observation of microstructures such as microglial filopodia and synapses. Wake et al. performed in vivo two-photon imaging of the sensory or visual cortex in mice (
Tremblay et al. also focused on the synaptic monitoring by microglia and performed in vivo two-photon imaging of microglia and dendrites in the visual cortex (
It had also been suggested that microglia modulate synapse formation through the release of BDNF (
Together, in vivo live imaging studies of microglia-synapse interactions have provided direct evidence that microglia regulate not only synapse removal, but also synapse formation.
Stowell et al. examined the effect of one of the major neurotransmitters, norepinephrine, on microglia-synapse interaction (
There are numerous reports of microglia interacting with neurons in response to neural activity, and live imaging studies have been useful in targeting this relationship. Performing in vivo imaging of zebrafish, Li et al. presented an important finding that microglia can both monitor and manipulate neural activity (
Badimon et al. showed that microglia reduce neural activity via the release of adenosine (
Phagocytosis
Since the persistence of dead cells in the brain parenchyma threatens the homeostasis of brain functions, it is important to elucidate the mechanism of dead cell removal by microglia. Peri et al. performed in vivo live imaging of zebrafish larvae and observed microglial motility (
Morsch et al. conducted live imaging of spinal cord of zebrafish and showed microglial migration toward and uptake of irradiated neurons upon induction of neuronal cell death by UV irradiation (
Traumatic brain injury (TBI) also causes pronounced neuronal cell death. Microglia remove dead cells through phagocytosis, but it is not clear whether this phenomenon is protective or damaging to the brain. Herzog et al. performed live imaging of juvenile zebrafish and confirmed that microglia migrate to the injury site within minutes after TBI and phagocytose dead cells (
Damisah et al. observed the response of microglia and astrocytes to dead neurons in live imaging using photochemical techniques to induce apoptosis in single cell (
Abiega et al. examined the effect of neuronal hyperexcitability on the clearance of apoptotic cells by microglia (
Grier et al. investigated the possibility that neural activity mediates phagocytosis by microglia in the mammalian olfactory bulb where the lifelong activity-dependent plasticity occurs (
Myelin, which covers axons and controls the velocity of nerve conduction, is also a highly plastic structure that should be studied to further elucidate the interaction between axons and microglia. Although there have been few reports of in vivo live imaging of myelin at present, Hill et al. successfully observed stable myelin in label-free, in vivo live imaging in genetically engineered mice with fluorescently labeled myelin (
Recently, it has been suggested that microglia also phagocytose tumor cells. Glioblastoma multiforme is a malignant brain tumor and is considered incurable. Tumor-associated macrophages and microglia (TAMs) are major cell types in tumorigenesis and have been shown to promote tumor growth. Therefore, it has been hypothesized that regulating TAM function might conversely inhibit tumor growth. Hutter et al. previously suggested that suppressing SIRPα-CD47 signaling, a “don't eat me” signal, and promoting tumor phagocytosis by TAM could treat a variety of tumors (61). However, this antitumor effect has been thought to be largely due to macrophages infiltrating from the periphery, and the contribution of brain-resident microglia has not been clarified. In 2019, Hutter et al. attempted to clarify this point by using mice that can distinguish between microglia and macrophages (
Second Messenger Signaling in Microglia
The ability to observe second messenger signaling within microglia in real time would reveal what molecules are involved in microglial surveillance and directed movement. Such studies would be a first step toward modulating brain function through microglial regulation. Intracellular Ca2+ dynamics in microglia had been difficult to observe because of the difficulty in efficiently introducing Ca2+ indicator and adeno-associated viruses into microglia, but Eichhoff et al. succeeded in visualizing microglial Ca2+ dynamics for the first time (
Pozner et al. monitored the intracellular Ca2+ concentration by GCaMP5G while observing microglial morphology with tdTomato using the PC::G5-tdT mouse line (
As mentioned earlier, observing intracellular Ca2+ concentrations in microglia has been technically challenging. Brawek et al. successfully visualized microglial Ca2+ concentrations (
Olmedillas Del Moral et al. applied single-cell electroporation of the Ca2+ indicator Oregon Green 488 to microglia and observed intracellular Ca2+ concentrations in microglia (
Umpierre et al. observed Ca2+ dynamics in microglia of awake mice in 2020 (
Response of Microglia to Damage
Brain injury is often accompanied by inflammation. As immune cells in the brain, microglia may both exacerbate and suppress inflammation. In vivo imaging of microglial dynamics in and around injured sites will highlight the study of microglia as a potential therapeutic target for brain injury and the subsequent brain diseases. Davalos et al. is the first report that succeeded in capturing live ramified microglia in vivo (
Haynes et al. examined the molecular mechanism of directed movement of microglial processes to the site of injury (
In the white mater of the spinal cord, the induction of microglial processes at the site of injury was also tested (
Davalos et al. investigated the functional changes in microglia that occur in the diseased brain by in vivo live imaging (
Taylor et al. examined the effect of type I diabetes on the repair of damaged blood vessels by microglia (
Achievement and Limitation of in vivo Live Imaging
In summary, in vivo imaging studies have revealed the dynamics of ramified microglia and contributed to our understanding of the dynamics and significance of microglial motility. For example, it was revealed that microglia could migrate long distance and intracellular Ca2+ activity of microglia was clarified. Also, it was shown that microglia change their dynamics in response to various transmitters, neural activity, injury, and interaction between other cell types.
It is expected that advances in genetic modification and imaging technology will further refine in vivo live imaging methods for observing intact microglial dynamics, but various technical limitations should not be overlooked at this point. First, most of the live imaging in the studies described in section In vivo Live Imaging (see Table 1 for Experimental Conditions) was performed in the vicinity of the brain surface, which highlights the difficulty of deep brain imaging. The cortical area is a good place to test the relationship between neural activity and microglial dynamics, as well as the relationship between animal behavior and microglial dynamics, since neural activity can be altered by the introduction of sensory stimuli such as visual and auditory stimuli. Live imaging of microglia in deeper brain regions such as the hippocampus and amygdala, which control learning, memory, and emotions, may lead to the discovery of region-specificity of microglial motility and new significance of microglial surveillance in brain functions. Gu et al. showed that in vivo live imaging of the hippocampus is possible by aspiration of the cortex (
Furthermore, it seems difficult to combine in vivo live imaging with the cell function manipulation by pharmacological and optogenetic methods, because the presence of bones in the thinned skull or the presence of glass coverslips in the open skull will limit what can be done from the brain surface.
Problems of in vivo imaging such as limited observation regions, low resolution, and difficulty in stimulation have been improved. Thus, complementary understanding of the data obtained by in vivo imaging and in vitro imaging, which has advantages such as observation at super-resolution level and manipulation at high spatiotemporal resolution, will help us to understand the mechanism underlying microglia-neuron interaction such as synapse elimination (Figure 2).
Figure 2

Prospects for live imaging of glial cell-neural circuit complexes. In vivo multiphoton imaging studies have revealed that microglia interact with spines and axonal boutons. In vivo live imaging has greatly advanced the field by revealing the correlation between interactions and neural activity and has enhanced research interest in microglia. However, the next step will be to assess the interaction of each cell type at the synaptic site and the molecular mechanism of the interaction. For this purpose, we need to perform simultaneous high-resolution imaging of the quadripartite synapse, which consists of microglia, astrocytes and pre- and post-synapses. The simultaneous imaging of synapses, neuronal membranes, and microglia will help to answer the remaining major question of whether neurites are snipped off during synaptic phagocytosis. In addition, to understand the molecular mechanism of synaptic competition, it is necessary to control activity at the level of individual synapses. In vitro systems will facilitate live imaging with multiple colors, high resolution, and local stimulation, but a major barrier must be crossed: the establishment of glial cell culture systems that maintain in vivo morphology and gene expression. The realization of such systems is eagerly awaited to clarify the relationship between glia and neurons, especially synapses.
Ex vivo Live Imaging
Live imaging of microglia ex vivo has been attempted as a way to overcome technical difficulties in vivo. In section Ex vivo Live Imaging, we will present studies using live imaging of brain slices. Perhaps the most significant advantage of slice imaging is that the structures in the brain (cell layers and projection pathways) are preserved. This is important for validating the direction of microglial migration and helps facilitate the extrapolation of results obtained with slice imaging to in vivo. In the following sections, we introduce acute slice imaging, in which sections cut out from the brain are observed immediately after preparation, and cultured slice imaging, in which sections are cultured and observed at any given time.
Acute Slice
Alterations of Microglial Process Dynamics by ATP and Neurotransmitters
Wu et al. examined the molecular mechanisms regulating microglial process motility by the ATP-P2Y receptor signaling pathway (76) (Table 2). Simultaneously, observing microglial motility by confocal microscopy and performing whole-cell patch-clamp recordings of microglia, the authors found that process extension to ATP correlated with the outward potassium current associated with P2Y receptor activation. It was also shown that both P2Y receptor activation and outward potassium currents are required for process extension to ATP and basal surveillance. Furthermore, it was shown that the PI3K signaling pathway is important for ATP-induced chemotaxis. Swiatkowski et al. showed that the regulation of process extension by outward potassium currents functions similarly in the microglial response to neuronal damage (75).
Table 2
| Animal | Age | Anesthesia | Region | Thickness Depth from the surface | Cellular visualization | Microscopy | Objective lens | Resolution (x, y) z stack | Interval time Total time | References |
|---|---|---|---|---|---|---|---|---|---|---|
| CX3CR1-GFP+/− mice | P30-40 | – | Hippocampus | 350 μm – | GFP (microglia) | Two-photon | 40x (NA = 1.0) | – 11–25 μm thick | 25 or 60 s ~1 h | Avignone et al. (62) |
| CX3CR1-GFP+/− mice | P45-180 | Isoflurane | Hippocampus | 300 μm 150 ± 25 μm | GFP (microglia) | Two-photon | 20x (NA = 1.0) | 512 × 512 or 1,024 × 1,024 pixel 1–2 μm step | – | Bernier et al. ( |
| C57BL/6 mice | 6–8 wo | – | Coronal section | 300 μm – | Alexa 488, 568 isolectin B4 (microglia) | Confocal | 20x 40x | 175 × 175 μm or 350 × 350 μm 40 μm | 1.5 min – | Carbonell et al. (63) |
| CX3CR1-GFP+/− mice | P40-120 | Halothane | Hippocampus | 300 μm 150 ± 25 μm | GFP (microglia) | Two-photon | 40x (NA = 1.0) | 512 × 512 pixel 15 planes with 2 μm step | 1 min – | Dissing-Olesen et al. (64) |
| CX3CR1-GFP+/− mice | P5-7 | – | Hippocampus | 400 μm 45–60 μm | GFP (microglia) | Confocal and multi-photon | 20x (NA = 0.7) | 775 × 775 μm 15 planes with 3 μm step | 3–10 min – | Eyo et al. (65) |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | 4 wo | – | Hippocampus | 300 μm 50–100 μm | GFP (microglia) YFP (neuron) | Two-photon | 40x (NA = 0.8) | – | – | Eyo et al. (66) |
| CX3CR1-GFP+/− mice | P2-6 | – | Hippocampus | 400 μm 45–60 μm | GFP (microglia) | Confocal | 20x (NA = 0.7) | 775 × 775 μm 15 planes with 3 μm step | 10 min – | Eyo et al. ( |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | 3–5 wo | – | Cortex | 300 μm 50–120 μm | GFP (microglia) YFP (neuron) | Two-photon | 40x (NA = 0.8) | – 15 planes with 3 μm step or 10 planes with 2 μm step | 30 s – | Eyo et al. (67) |
| CX3CR1-GFP+/− mice | 3–8 mo | – | Retina | – | GFP (microglia) | Confocal | 40x (NA = 0.8) | 512 × 512 pixel – | 10 s – | Fontainhas et al. (68) |
| CX3CR1-GFP+/− mice | 1–4 mo | – | Cortex | 200 μm | GFP (microglia) | Confocal | 60x | – 30–50 planes with 1 μm step | 1 min – | Gyoneva et al. (69) |
| CX3CR1-GFP+/− mice | – | – | Substantia nigra | 200 μm | GFP (microglia) | Confocal | 20x (NA = 0.50) | – 31 planes with 1 μm step | 30–60 s 20 min | Gyoneva et al. (70) |
| SD rats Iba1-GFP+/− mice | P12 P15-27 | – | Hippocampus | 300 μm ~50–100 μm | Isolectin B4-Alexa 594 or GFP (microglia) | Two-photon | 20x (NA = 1.0) | 512 × 512 pixel (0.49–0.39 μm/pixel) 21–31 planes with 2 μm step | 60 s | Madry et al. ( |
| MacGreen/cd39−/− mice | – | – | Somatosensory cortex | 300 μm – | MacGreen (microglia) | Two-photon | 40x (NA = 0.8) | 307 × 307 μm 21 planes with 3 μm step | Matyash et al. (71) | |
| SD rats Iba1-GFP+/− mice | P12 P15-27 | – | Hippocampus | 300 μm ~50–100 μm | Isolectin B4-Alexa 594 or GFP (microglia) | Two-photon | 20x (NA = 1.0) | 512 × 512 pixel (0.49–0.39 μm/pixel) 21–31 planes with 2 μm step | 60 s | Zhao et al. (72) |
| CX3CR1-GFP+/−;Thy1-YFP+/− mice | P28-40 | Isoflurane | Hippocampus | – | GFP (microglia) YFP (neuron) | Confocal | 40x (NA = 1.0) | 512 × 512 pixel (0.39 μm/pixel) 11 planes with 1 μm step | 30 s 80 min | Pfeiffer et al. (73) |
| CX3CR1-GFP+/− mice | 3 mo~ | Euthasol | Spinal cord | 350 μm – | GFP (microglia) Alexa Fluor 555 (neuron) | Two-photon | 25x (NA = 0.95) | 512 × 512 pixel 31 planes with 1.5 μm step | 30–60 s 30–60 min | Rotterman and Alvarez (74) |
| Rats | P3-14 | – | Hippocampus | 400 μm – | FITC-IB 4 FITC-IB 4 FITC-IB 4 FITC-IB4 (microglia) | Confocal | 63x (NA = 1.2) | 512 × 512 or 1,024 × 1,024 pixel 8–18 planes (~60 μm) | 2–5 min 30–90 min | Stence et al. ( |
| CX3CR1-GFP+/− mice | 3–6 wo | – | Coronal section | 300 μm 50–100 μm | GFP (microglia) | Two-photon | 40x (NA = 0.8) | 1,024 × 1,024 pixel (0.16 μm/pixel) 15 planes with 3 μm step | 1 min – | Swiatkowski et al. (75) |
| CX3CR1-GFP+/− mice | E12.5, 14.5, 17.5 | – | Coronal section | 300 μm 50 μm | GFP (microglia) | Confocal | 20x (NA = 0.5) | 1,024 × 1,024 pixel 72 μm with 8 μm step | 2 min 1 h | Swinnen et al. ( |
| CX3CR1-GFP+/− mice | 8–10 wo | Halothane | Cortex | 300 μm – | GFP (microglia) | Confocal | 40x (NA = 0.8) | – 8–10 planes with 2 μm step | 1 min – | Wu et al. (76) |
| rd10;CX3CR1-GFP+/− mice | P21-24 | – | Eyecup | – | GFP (microglia) PI (dead cell) Hoechst (nuclei) | Confocal | 40x or 60x | 1,024 × 1,024 pixel – | 1 min 2 h | Zhao et al. (77) |
Experimental conditions of live imaging of microglia ex vivo (acute slice).
wo, week-old; mo, month-old; P, post-natal day; –, not available.
Molecules that act in the opposite way to ATP have also been studied. Gyoneva et al. tested the effect of norepinephrine on the motility of microglial processes: bath application of ATP induced microglial process elongation, whereas norepinephrine treatment retracted them (69). Microglia extend their processes to the site of injury in an ATP-P2Y12 signaling-dependent manner. In 2014, Gyoneva et al. tested this by preparing acute slices of mice that had been subjected to inflammatory conditions and performing live imaging (70). In the control group, microglial processes extended to the injured site, but this phenomenon was inhibited when inflammation was induced by prior LPS administration. In addition, MPTP treatment, which induced dopaminergic neuronal death and microglial state change, also inhibited process extension to the injured site. Furthermore, LPS and MPTP treatment increased adenosine A2A receptor expression in microglia and suppressed process extension to the injured site. Because adenosine retracts microglial processes via A2A receptors, treatment with preladenant, an antagonist of the A2A receptor, along with MPTP treatment, rescued the inhibition of process extension to the injury site.
Dissing-Olesen et al. showed that ATP released from neurons upon NMDAR activation attracts microglial processes (64). Pharmacological experiments showed that the induction of the microglial process was independent of ATP and NO release from Pannexin1 and astrocytic connexins associated with NMDAR activation. The formation of a bulbous tip-like structure at the tip of the microglial process upon ATP treatment indicates that the microglial processes may contact activated neurons via the bulbous tips, and in vivo live imaging showed similar results. Eyo et al. showed that microglial process induction was also enhanced when neural activity was enhanced by kainic acid (66). Furthermore, they found that inhibiting microglial process number increases and process attraction by P2Y12 KO worsened kainic acid-induced seizures. These results suggest that microglial-neuronal contact in the epileptic brain has a neuroprotective effect.
Pfeiffer et al. examined the effect of increased neural activity associated with long-term potentiation (LTP) induction on the dynamics of microglia. After LTP induction, the number of microglial process branches increased, but the speed of extension and retraction was unchanged (73). Furthermore, live imaging of microglia and dendritic spines revealed an increase in the duration of microglial contact with spines after LTP induction, resulting in a decrease in the number of contacts. Furthermore, these changes were abolished by treatment with NMDA receptor antagonists. Taken together, these findings and the report by Dissing-Olesen et al. (64) suggest that neuron-derived ATP released in an NMDA receptor-dependent manner may regulate microglial-synaptic interactions.
While many studies have focused on microglial responses to excitatory neuron-derived neurotransmitters, Fontainhas et al. also focused on the inhibitory neurotransmitter GABA (68). Bath application of bicuculline, an inhibitor of ionic GABAA receptors, increased the length, extension and retraction rate and number of microglial processes and branches. On the other hand, a bath application of GABA reduced all these parameters. These results indicated that GABA decreases the motility of microglia.
Exploring the Regulatory Molecules of Microglial Dynamics Using Brain Injury Models
Zhao et al. tested the involvement of microglia in rod photoreceptor cell death in retinal degeneration (77). Live imaging of retinal explants in the rd10 mouse model of retinal degeneration showed that microglia phagocytose propidium iodide (PI)-positive and PI-negative rod photoreceptor cells. Microglial morphology and the way of phagocytosing rod photoreceptor cell varied, with amoeboid microglia forming a phagocytic cup near the cell body, and microglia with processes forming a phagocytic cup at the tip of the process or using lamellipodia.
Avignone et al. used a mouse model of kainic acid-induced status epilepticus and performed live imaging of microglia in hippocampal acute slices (62). Forty-eight hours after status epilepticus, microglia showed morphological changes such as enlarged soma and shorter process, but there was no change in surveillance or the extension speed of microglial processes to the site of injury. However, there was an increase in the extent to which a single process was explored and an increase in the speed of process extension to 2 Me-ADP. Eyo et al. also utilized a seizure model to examine the molecular mechanisms that regulate microglial contact with neurons and their relationship (67). Microglial process convergence (MPC), which is seen when microglia contact neurons, was used as an indicator of contact events. MPCs were increased when seizures were induced by kainic acid and pilocarpine. In addition, knocking out the CX3CR1 receptor, a fractalkine receptor, decreased MPCs, while treatment with its ligand CX3CL1 increased MPCs, indicating that the CX3CL1-CX3CR1 signaling pathway regulates microglial-neuron interactions. In addition, activation of CX3CR1 promoted IL-1β release from microglia. Furthermore, IL-1β promoted ATP release associated with increased neural activity and microglial process elongation via P2Y12 receptors. The aggravation of kainic acid- or pilocarpine-induced seizures in CX3CR1-KO mice suggests that microglia inhibit excessive neural activity by contacting neurons with elevated activity.
Carbonell et al. examined the response of mature microglia to thalamic damage (63). Acute slices were prepared 2, 3, 4, 6, and 8 days after the stab lesion and the thalamus was observed. The mobility of microglia around the injured site was highest after 3 days, but the direction of migration was random. As intracellular signaling, the authors focused on cysteine-cysteine (CC) chemokines involved in homing to the site of injury by leukocytes. They also showed that inhibition of CCR5 reduced migration speed and distance of microglia.
Eyo et al. focused on perinatal stroke and examined the effects of stroke-related deficiencies of oxygen and glucose on microglial motility (65). To model stroke, they treated acute hippocampal slices with hypoxia or oxygen-glucose deprivation (OGD). Both treatments reduced microglial motility and caused microglial death. Next, they compared the dynamics of microglia after OGD in slices of P2-3 and P6-7 and found that the former showed a lower cell death rate, a longer latency to death, and higher motility of microglia. These results suggest that the sensitivity of microglia to OGD increases with development.
Exploring the Molecules That Control the Morphology of Microglial Processes
The acute slice experimental system, which allows for more detailed pharmacological and genetic interventions than in vivo systems, including gene transfer, may contribute to the elucidation of mechanisms and molecules that could not be discovered in vivo. Matyash et al. found that knocking out of CD39 and CD73, which mediate the degradation of extracellular ATP to adenosine, reduced the length of microglial processes as well as the branching number (71). In acute slices of CD39-KO mice, the extension of microglial processes to ATP and the site of injury was suppressed. Microglial ramification was rescued by inhibition of the adenosine transporter and increased extracellular adenosine. A similar trend was observed in primary cultures of microglia. These results suggest that adenosine is important for the maintenance of the ramified morphology of microglia.
Madry et al. tested the possibility that the two-pore domain channel (THIK-1) regulates microglial process motility (
Bernier et al. focused on the kinetics of filopodia growing from the main processes of microglia and observed that inhibition of actin polymerization by cytochalasin treatment stopped the extension and retraction of filopodia (
Cultured Slice
When using acute slices, the effects of factors released due to the damage associated with section preparation need to be recognized. Cultured slices may partly overcome this point by recovering during the incubation period. In contrast to acute slices which require the experiment to be completed within 4 h of brain sectioning to observe ramified microglia (
Recently, Ogaki et al. focused on the fact that PTEE membranes, which are frequently used to place slices in culture, make live imaging using inverted microscopy difficult due to the low light transmission of PTFE membranes (
Table 3
| Animal | Age | Imaging timing | Region | Thickness Depth from the surface | Cellular visualization | Microscopy | Objective lens | Resolution (x, y) z stack | Interval time Total time | References |
|---|---|---|---|---|---|---|---|---|---|---|
| CX3CR1-GFP+/− mice | P6-7 | 10–12 DIV | Hippocampus | 300 μm | GFP (microglia) | Multi-photon | 25x | – 21 planes with 1.5 μm step | 1 min 15 min | Greenhalgh et al. (78) |
| CX3CR1-GFP+/− mice | E14 | – | Cortex | 350 μm | GFP (microglia) | Confocal | – | – | 30 min 8 h | Hattori et al. (79) |
| Iba1-EGFP+/− mice | P6-7 | 13–14 DIV | Hippocampus | 300 μm | GFP (microglia) | Fluorescence | 20x (NA = 0.45) | – | 20 min – | Katayama et al. (80) |
| Wistar rats | P7-9 | 10 DIV | Hippocampus | 350 μm | CMTMR (microglia) CMAC (PMN) | Confocal | – | – | – | Neumann et al. (81) |
| CX3CR1-GFP+/− mice | P6 | 7–9 DIV | Entorhinal-hippocampus | 400 μm | GFP (microglia) | Confocal | 30x (NA = 1.05) | – 21 planes with 1 μm step | 30 s – | Ogaki et al. ( |
| Iba1-EGFP+/− mice | P4-7 | – | Hippocampus | 400 μm | GFP (microglia) | Confocal | 20x | – 20 planes with 2 μm step | 5 min 1 h | Ohsawa et al. (82) |
| SD rats | P4-6 | 1–8 DIV | Hippocampus | 400 μm | IsolectinB4-FITC (microglia) Sytox Orange or To-Pro-3 (dead cell) | Confocal | 20x (NA = 0.7) | 512 × 512 pixel 5–10 planes with 5–8 μm step | 2-4 min 2–11 h | Petersen et al. (83) |
| Cx3cr1::CreER; RC::LSL-tdTomato mice | P4 | 10–19 DIV | Hippocampus | 300 μm 30 μm | tdTomato (microglia) neuron (iRFP) | Light sheet | 60x (NA = 1) | 0.13 × 0.13 μm 0.48 μm step | 45–60 s 2–3 h | Weinhard et al. (84) |
| Rabbits | – | – | – | 350 μm | Tomato Lectin 594 (microglia) | Confocal | 20x | – 50–80 μm thick with 2–5 μm step | 15 min 5.5–6 h | Zhang et al. (85) |
Experimental conditions of live imaging of microglia ex vivo (slice culture).
E, embryonic day; P, post-natal day; DIV, day in vitro; –, not available.
Studies on Microglial Dynamics That Require Long-Term Observation
Ohsawa et al. examined the effect of ADP on microglial process extension; treatment with RGD, an integrin inhibitor, together with ADP bath application, inhibited process extension to ADP (82). In conjunction with other experiments, the authors indicated that activation of microglial P2Y12 by ATP, which increases the expression level of integrin β1 and promotes adhesion to the extracellular matrix, is important for microglial process extension.
Although microglia are known to repopulate once removed, the function and motility of repopulated microglia have not been well-elucidated. Zhang et al. performed live imaging of retinal explant cultures to examine the response to ATP of repopulated microglia (87). After 60 days of repopulation, there was no change in basal process motility or the degree of process elongation during ATP treatment between repopulated and endogenous microglia.
In the cortical plate (CP), microglia are temporarily absent from E15 to E16 and instead are abundant in the ventricular zone (VZ), subventricular zone (SVZ), and intermediate zone (IZ) (88). However, it is not clear why or how microglia are absent from the CP during this period: neurons arising in the VZ/SVZ migrate to the CP and divide into various subtypes corresponding to the cortical layer structure. Changes in the expression of transcription factors that control differentiation lead to abnormal layer structure and the emergence of ectopic neurons. Hattori et al. proposed and tested the hypothesis that microglia may be temporarily absent from the CP to prevent interference with the functional differentiation of CP neurons (79). Live imaging of slices prepared from E14 mice showed that microglia migrate from the CP to the meninges and that removal of the meninges reduced the amount of migration. A similar trend was observed using in vivo imaging in utero: contrary to the microglia in the CP, microglia in the VZ/SVZ/IZ were observed to migrate in the apical direction. In addition, microglial migration was inhibited in slices prepared from CXCR4-KO mice, indicating that the CXCL12-CXCR4 signaling pathway may regulate microglial migration. At present, verification of cell migration along the dorsoventral axis can only be performed by live ex vivo imaging, and this study demonstrates the utility of slice culture imaging.
Interactions Between Microglia and Other Cells
Multinucleated neutrophils (PMNs), which invade the brain parenchyma during ischemia, injure neurons by eliciting inflammation. Neumann et al. tested the possibility that microglia may play a role in protecting neurons by removing neutrophils by phagocytosis (81). Oxygen glucose deprivation (OGD) treatment of cultured slices increased neuronal death, which was further accelerated by the addition of PMNs. On the other hand, the addition of microglia at the same time as PMN reduced some of the neuronal death. Next, to test the possibility of microglial phagocytosis of PMNs, the authors added fluorescently labeled PMNs and microglia to cultured slices and performed live imaging. Both endogenous and added microglia phagocytosed PMNs. It was also shown that the microglia phagocytosed both dead and live PMNs. Furthermore, treatment with RGD and GluNAc (an inhibitor of lectins) reduced PMN phagocytosis and accelerated OGD treatment-induced neuronal death. These results suggest that phagocytosis of PMNs by microglia is neuroprotective.
Using live imaging of hippocampal culture slices, Weinhard et al. were able to capture the series of process in which microglia phagocytose the presynaptic structures (boutons) formed by dentate gyrus granule cells (84). They did not identify any instances of microglia phagocytosis of dendritic spines and argued that, at least under physiological conditions, microglia may preferentially phagocytose presynaptic components.
Studies on Brain Injury and Brain Diseases
In Petersen et al., the response of microglia to damaged neurons was observed at 1~7 DIV (83). When adjacent cells died, microglia extended their own processes and phagocytosed the dead cells. The motility of microglial processes changed after contact with other microglia and dead cells, suggesting that contact determines the target for phagocytosis.
Katayama et al. subjected neurons to excitotoxicity by NMDA and observed the response of microglia to injured neurons (80). Microglia accumulated in the pyramidal cell layer after injury, indicating that this was independent of microglial proliferation. In addition, PI-positive neurons disappeared after being surrounded by microglia, and this was inhibited by removal of the microglia by clodronate treatment, suggesting that microglia phagocytose the injured neurons. Furthermore, the authors showed that phagocytosis of PI-positive neurons was promoted by p38 MAP kinase.
Anti-inflammatory therapy that targets microglia to block the microglial inflammatory response in cerebral palsy and autism is currently being explored. Zhang et al. used E. coli-induced maternal immune activations (MIAs) in rabbit fetuses and prepared hemispheric slice cultures to examine microglial migration and the interaction between microglia and dendrimers (85). Microglia in the MIA group exhibited an amoeboid shape, and their migration speed and distance were reduced. Since the microglia in the MIA group took up more dendrimers at a faster time, the authors claimed that the change in microglial motility was due to an interaction with dendrimers and proposed that assays using culture slices could be useful for drug discovery.
Greenhalgh et al. examined the effect of bone marrow-derived macrophages on the responsiveness of microglia during tissue injury (78). Cultured slices were laser-irradiated, and the induction of microglial processes to the irradiated area was quantified. There was no change in each parameter of process extension in the presence or absence of macrophages.
In vitro (Dispersed Cell Culture)
In section Ex vivo Live Imaging, live imaging of microglia using acute or cultured slices was introduced. Slice imaging has clearly broadened the scope of microglial studies, as it allows live imaging of the brain in its layered structure without area limitations. However, the heterogeneity of microglia depends on the position of the slice, which must be noted in slice imaging (86). Thus, most papers specify in the materials and methods section how much depth (Z-axis distance) the imaging was performed from the surface of the slice. It is important to have some degree of homogeneity in microglial conditions before treatment, especially when comparing microglial morphology and function between the control and treated groups. To overcome the heterogeneity of microglia, dispersed cultures would be useful. The greatest advantage of using dispersed cultures is that the cell types present in the observation system can be regulated according to the purpose of the experiment, which is naturally different from the in vivo conditions though. These features make it possible to clarify which cell type a particular phenomenon strongly depends on, and may facilitate the screening of the molecular mechanisms involved. Taking advantage of this, cell culture systems have been widely used for disease research, pharmacological screening, and, more recently, iPS microglia research. In the future, more sophisticated cell culture systems, especially in terms of reproducing in vivo microglial morphology, will be needed to validate cell-cell interactions that underlie neural circuitry and brain function.
The medium and presence of heterogeneous cells may have a significant impact on the morphology and functions of microglia. For example, Montilla et al. examined the effect of medium composition on microglial properties (93). Compared to DMEM+10% FBS, the use of TIC medium which contains TGF-β, IL-34, and cholesterol (
Disease Research
As mentioned above, the contribution of cell culture to disease research and drug screening systems is significant. Therefore, we present here a chronological list of some of the most important disease studies using live imaging of cell cultures. To mimic Huntington disease, microglia were cocultured with striatal and cortical neurons expressing Htt mutants (91) (Table 4). Live imaging showed that microglia moved into the vicinity of neuronal projections, which were then torn off. These results suggest that microglia cause neuronal degeneration.
Table 4
| Animal | Age | Isolation method | Region | Other cell type in the culture | Cellular visualization | Microscopy | Objective lens | Resolution (x, y) z stack | Interval time Total time | References |
|---|---|---|---|---|---|---|---|---|---|---|
| SOD1-G93A mice (animal model of myotrophic lateral sclerosis) | 4 mo | Density gradient centrifugation | Whole brain | Motor neuron | Red (microglia) GFP (motor neuron) | Confocal | – | – | – | Frakes et al. (89) |
| C57BL/6 mice | P3 | Mild trypsinization of mix glial coculture | Cortex | Bacteria | DIC | Epifluorescence | 10x or 20x | – | – | Hupp et al. (90) |
| mice or rats | P1-2 | Shaking of mix glial coculture | Cortex | Neuron | IsolectinB4-594 (microglia) YFP (neuron) | – | – | – | – | Kraft et al. (91) |
| iPSCs | – | Differentiation | – | Synaptosome | DIC (microglia) pHrodo (synapptosome) | Confocal | – | 0.61 × 0.61 μm – | – | Sellgren et al. (92) |
Experimental conditions of live imaging of microglia in vitro.
iPSCs, induced Pluripotent Stem Cells; P, post-natal day; mo, month-old; –, not available.
To establish an in vitro model of amyotrophic lateral sclerosis (ALS), Frakes et al. cultured motor neurons from wild-type mice with microglia isolated by density gradient centrifugation from adult wild-type or SOD1-G93 mice (ALS model) (89). Seventy-two hours after the start of coculture, the number of motor neurons cocultured with microglia from the ALS model mice was reduced to ~50% of the number when cocultured with microglia from wild-type mice. When shRNA against the SOD1 mutant was expressed by lentiviruses to reduce SOD1 expression in microglia to ~25%, the reduction in motor neuron numbers was rescued. The authors also showed that the SOD1 mutant caused microglial inflammatory responses (increased expression of CD68, iNOS, and ROS) and motor neuron death via activation of NFκB. It should be noted that coculture with microglia did not affect neuronal death when microglia were isolated from neonatal microglia, suggesting that even isolated microglia may be able to reflect the condition of the derived individual to some extent.
In Hupp et al., the effect of Streptococcus pneumoniae on the function of microglia was examined (90). In both isolated cultures of microglia and cocultures with astrocytes, exposure to Streptococcus pneumoniae resulted in reduced chemotaxis to the bacteria and motility of microglia. This could be a strategy by which Streptococcus pneumoniae escapes phagocytosis by microglia.
Sellgren et al. developed an in vitro model of microglia-dependent synaptic removal to test the possibility that excessive synaptic removal may contribute to schizophrenia (92). The authors showed that synaptosomes derived from schizophrenia patients were more likely to be phagocytosed and that patient-derived microglia-like cells (iMGs) had a higher phagocytosis capacity. Furthermore, they found that C4, a schizophrenia risk gene, was involved in complement tagging to neurons and synaptic removal by microglia. Additionally, minocycline inhibited synaptic removal and reduced the risk of developing schizophrenia. Although representative images of differentiated iMGs showed a morphology relatively close to that in vivo, no image was presented to show the morphology of iMGs during synaptosome phagocytosis.
As reported by Hupp and Sellgren (see above), another advantage of the cell culture system is that the process of phagocytosis is easier to observe than other experimental systems. Taking advantage of this, Zhao et al. examined the effect of activation of mTOR signaling on phagocytosis in microglia (72). They added pHrodo to primary cultures of microglia and measured its uptake, finding that phagocytosis was enhanced in TSC1Cx3cr1CKO mice compared with microglia derived from wild-type mice. It should be noted that there are still no studies which succeeded in reproducing ramified morphology of microglia in the co-culture of microglia and neurons, and that in vitro system probably failed to reflect how microglia phagocyte neurons and synapses in vivo.
Sophistication of Culture Systems
One of the most challenging aspects of microglial isolation and culture is recreating microglial morphology in vivo, and there have been many attempts to improve the morphology of microglia in culture. For example, it has been shown that ATP, which promotes microglial process extension, increases the number of microglial primary processes (95). Thus, it would be useful to target molecules that have already been shown to regulate microglial ramification in vivo and ex vivo.
It has also been shown that the method of coating the surface of the culture dish may affect microglial morphology (96, 97). A strong candidate for factors that promote microglial ramification are astrocyte-derived molecules; since the 1990s, coculturing microglia with astrocytes and adding astrocyte culture supernatants (ACMs) to isolated cultures of microglial conditions have been used to improve microglia in vitro (
Because microglial functions, such as exploration of the brain environment and phagocytosis, are strongly dependent on the morphology of the process, recreating the ramified process is particularly important. Hyperramified microglia have been reported in the diseased brains of chronic despair models and alcoholism models (100, 101). Using electron microscopy, Bisht et al. also reported the existence of microglia with highly ramified processes, called dark microglia, in pathological conditions such as stress and Alzheimer's disease (102). A group of microglial genes whose expression levels are altered in each animal model is also being elucidated by RNA sequencing. Using this information, methods to promote microglial ramification in vitro may be discovered.
However, it should be noted that the ramified morphology of microglia in vitro does not necessarily reflect the characteristics of transcriptome under physiological conditions in vivo. Indeed, Bohlen et al. mentioned this limitation by comparing the RNA-sequence data between cultured microglia with ramified morphology and freshly isolated microglia (
Conclusion and Perspective
In section Achievement and Limitation of in vivo Live Imaging, we described studies that have performed live imaging of microglia in vivo, ex vivo (acute slice and cultured slice), and in vitro (primary culture). Although we have not been able to cover all of the published papers, the number of papers is roughly in the order of in vivo, ex vivo, and in vitro. In vitro systems are easier than other experimental systems to perform pharmacological and genetic manipulations (e.g., induction of synaptic competition, which is important in neuron-microglial interactions). In addition, multicolor live imaging is essential to investigate the relationship between microglia and synapses. Since a synaptic site contains at least four components, i.e., microglia, astrocytes, pre-synapses, and post-synapses, all of these components should be imaged as simultaneously as possible at high resolution to assess the function and identity of “quadripartite synapses” (103–105). The pros of in vitro system is that multicolor live imaging can be accomplished without the need of complicated breeding schemes and crossings of transgenic animals to label multiple cellular elements.
However, live imaging systems using in vitro tools still have limitations that need to be solved. The most critical point is that in vitro microglia differ from in vivo and ex vivo microglia in that they exhibit an abnormal form (hypertrophy of the cell body and loss of fine processes). This microglial morphological abnormality is unsuitable for examining microglial-synaptic interactions, which have recently received considerable attention among microglial functions. Conversely, if we can establish an in vitro experimental system that overcomes the abnormal morphology, it would be a breakthrough that could greatly advance microglial research. In particular, in the case of microglial-synaptic interactions, the detailed molecular mechanisms cannot be explored without observing and manipulating cell-cell interactions in the glia-neural circuit complex. For example, other than microglia, the involvement of astrocytes cannot be disregarded. Astrocyte micro-processes surround pre-synapses and post-synapses, forming a tripartite synapse structure (106). The formation of tripartite synapses is then promoted by increased neural activity (107). Therefore, to elucidate the activity-dependent microglial-synaptic interaction, a four-party structure that adds microglia to the conventional tripartite synapse, or quadripartite synapse, should be studied. To do so, it is necessary to solve the difficult problem of morphological abnormalities in cultured microglia. If we can induce synaptic competition at the individual synapse level and subsequently detect changes in glial intracellular signaling and glial gene expression, we will obtain many novel insights into the synaptic plasticity that underlies brain function (Figure 2). In addition to morphological abnormalities, discrepancies of gene expression characteristics with in vivo microglia are also issues to be solved in in vitro experimental systems. In the future, it is expected to develop in vitro experimental systems that mimic the gene expression characteristics of microglia in vivo.
Another significant limitation of using in vitro systems may be the inability to fully reproduce the brain environment. There are many components of the brain that are lacking in cell culture and may affect microglial morphology and function, such as the blood brain barrier (BBB), blood vessels, extracellular matrix (ECM), and other cell types. In recent years, many attempts have been made to reconstitute BBB, blood vessels, and ECM in vitro (108, 109) and to culture ramified microglia with other cell types (110).
In conclusion, in order to understand the role of microglial dynamics in brain function and the underlying cellular and molecular mechanisms, it is important to develop appropriate in vitro live imaging systems that reflect the findings of in vivo live imaging and fully exploit the convenience of genetic and pharmacological manipulation of brain cells in vitro.
Statements
Author contributions
MA and RK wrote the manuscript. Both authors contributed to the article and approved the submitted version.
Funding
This research was funded by [JSPS] grant number [20H05897] and by [JST] grant number [JPMJPR18H4].
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1.
NimmerjahnAKirchhoffFHelmchenF. Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science. (2005) 308:1314–8. 10.1126/science.1110647
2.
DavalosDGrutzendlerJYangGKimJVZuoYJungSet al. ATP mediates rapid microglial response to local brain injury in vivo. Nat Neurosci. (2005) 8:752–8. 10.1038/nn1472
3.
WakeHMoorhouseAJJinnoSKohsakaSNabekuraJ. Resting microglia directly monitor the functional state of synapses in vivo and determine the fate of ischemic terminals. J Neurosci. (2009) 29:3974–80. 10.1523/JNEUROSCI.4363-08.2009
4.
ColonnaMButovskyO. Microglia function in the central nervous system during health and neurodegeneration. Annu Rev Immunol. (2017) 35:441–68. 10.1146/annurev-immunol-051116-052358
5.
XuHTPanFYangGGanWB. Choice of cranial window type for in vivo imaging affects dendritic spine turnover in the cortex. Nat Neurosci. (2007) 10:549–51. 10.1038/nn1883
6.
StenceNWaiteMDaileyME. Dynamics of microglial activation: a confocal time-lapse analysis in hippocampal slices. Glia. (2001) 33:256–66. 10.1002/1098-1136(200103)33:3<256::AID-GLIA1024>3.0.CO;2-J
7.
TanakaJMaedaN. Microglial ramification requires nondiffusible factors derived from astrocytes. Exp Neurol. (1996) 137:367–75. 10.1006/exnr.1996.0038
8.
BohlenCJBennettFCTuckerAFCollinsHYMulinyaweSBBarresBA. Diverse requirements for microglial survival, specification, and function revealed by defined-medium cultures. Neuron. (2017) 94:759–73.e8. 10.1016/j.neuron.2017.04.043
9.
BernierLPBohlenCJYorkEMChoiHBKamyabiADissing-OlesenLet al. Nanoscale surveillance of the brain by microglia via cAMP-Regulated filopodia. Cell Rep. (2019) 27:2895–908.e4. 10.1016/j.celrep.2019.05.010
10.
OgakiAArakiTIshikawaMIkegayaYKoyamaR. A live imaging-friendly slice culture method using collagen membranes. Neuropsychopharmacol Rep. (2020) 40:307–13. 10.1002/npr2.12128
11.
AbiegaOBeccariSDiaz-AparicioINadjarALayéSLeyrolleQet al. Neuronal hyperactivity disturbs ATP microgradients, impairs microglial motility, and reduces phagocytic receptor expression triggering apoptosis/microglial phagocytosis uncoupling. PLoS Biol. (2016) 14:e1002466. 10.1371/journal.pbio.1002466
12.
AskewKLiKOlmos-AlonsoAGarcia-MorenoFLiangYRichardsonPet al. Coupled proliferation and apoptosis maintain the rapid turnover of microglia in the adult brain. Cell Rep. (2017) 18:391–405. 10.1016/j.celrep.2016.12.041
13.
BadimonAStrasburgerHJAyataPChenXNairAIkegamiAet al. Negative feedback control of neuronal activity by microglia. Nature. (2020) 586:417–23. 10.1038/s41586-020-2777-8
14.
BrawekBLiangYSavitskaDLiKFomin-ThunemannNKovalchukYet al. A new approach for ratiometric in vivo calcium imaging of microglia. Sci Rep. (2017) 7:6030. 10.1038/s41598-017-05952-3
15.
CasanoAMAlbertMPeriF. Developmental apoptosis mediates entry and positioning of microglia in the zebrafish brain. Cell Rep. (2016) 16:897–906. 10.1016/j.celrep.2016.06.033
16.
Cruz-MartinAPortera-CailliauC. In vivo imaging of axonal and dendritic structures in neonatal mouse cortex. Cold Spring Harb Protoc. (2014) 2014:57–64. 10.1101/pdb.prot080150
17.
DamisahECHillRARaiAChenFRothlinCVGhoshSet al. Astrocytes and microglia play orchestrated roles and respect phagocytic territories during neuronal corpse removal in vivo. Sci Adv. (2020) 6:eaba3239. 10.1126/sciadv.aba3239
18.
DavalosDAkassoglouK. In vivo imaging of the mouse spinal cord using two-photon microscopy. J Vis Exp. (2012) e2760. 10.3791/2760
19.
DavalosDRyuJKMerliniMBaetenKMLe MoanNPetersenMAet al. Fibrinogen-induced perivascular microglial clustering is required for the development of axonal damage in neuroinflammation. Nat Commun. (2012) 3:1227. 10.1038/ncomms2230
20.
DibajPNadrignyFSteffensHSchellerAHirrlingerJSchomburgEDet al. NO mediates microglial response to acute spinal cord injury under ATP control in vivo. Glia. (2010) 58:1133–44. 10.1002/glia.20993
21.
EichhoffGBrawekBGaraschukO. Microglial calcium signal acts as a rapid sensor of single neuron damage in vivo. Biochim Biophys Acta. (2011) 1813:1014–24. 10.1016/j.bbamcr.2010.10.018
22.
FügerPHefendehlJKVeeraraghavaluKWendelnACSchlosserCObermüllerUet al. Microglia turnover with aging and in an Alzheimer's model via long-term in vivo single-cell imaging. Nat Neurosci. (2017) 20:1371–6. 10.1038/nn.4631
23.
GrierBDBelluscioLCheethamCE. Olfactory sensory activity modulates microglial-neuronal interactions during dopaminergic cell loss in the olfactory bulb. Front Cell Neurosci. (2016) 10:178. 10.3389/fncel.2016.00178
24.
GrutzendlerJYangGPanFParkhurstCNGanWB. Transcranial two-photon imaging of the living mouse brain. Cold Spring Harb Protoc. (2011) 2011:1080–8. 10.1101/pdb.prot065474
25.
GuLKleiberSSchmidLNebelingFChamounMSteffenJet al. Long-term in vivo imaging of dendritic spines in the hippocampus reveals structural plasticity. J Neurosci. (2014) 34:13948–53. 10.1523/JNEUROSCI.1464-14.2014
26.
HaynesSEHollopeterGYangGKurpiusDDaileyMEGanWBet al. The P2Y12 receptor regulates microglial activation by extracellular nucleotides. Nat Neurosci. (2006) 9:1512–9. 10.1038/nn1805
27.
HerzogCPons GarciaLKeatingeMGreenaldDMoritzCPeriFet al. Rapid clearance of cellular debris by microglia limits secondary neuronal cell death after brain injury. Development. (2019) 146:dev174698. 10.1242/dev.174698
28.
HillRALiAMGrutzendlerJ. Lifelong cortical myelin plasticity and age-related degeneration in the live mammalian brain. Nat Neurosci. (2018) 21:683–95. 10.1038/s41593-018-0120-6
29.
HristovskaIVerdonkFComteJCTsaiESDesestretVHonnoratJet al. Ketamine/xylazine and barbiturates modulate microglial morphology and motility differently in a mouse model. PLoS ONE. (2020) 15:e0236594. 10.1371/journal.pone.0236594
30.
HutterGTheruvathJGraefCMZhangMSchoenMKManzEMet al. Microglia are effector cells of CD47-SIRPα antiphagocytic axis disruption against glioblastoma. Proc Natl Acad Sci USA. (2019) 116:997–1006. 10.1073/pnas.1721434116
31.
IsshikiMOkabeS. Evaluation of cranial window types for in vivo two-photon imaging of brain microstructures. Microscopy. (2014) 63:53–63. 10.1093/jmicro/dft043
32.
LiYDuXFLiuCSWenZLDuJL. Reciprocal regulation between resting microglial dynamics and neuronal activity in vivo. Dev Cell. (2012) 23:1189–202. 10.1016/j.devcel.2012.10.027
33.
LiuYUYingYLiYEyoUBChenTZhengJet al. Neuronal network activity controls microglial process surveillance in awake mice via norepinephrine signaling. Nat Neurosci. (2019) 22:1771–81. 10.1038/s41593-019-0511-3
34.
MiyamotoAWakeHIshikawaAWEtoKShibataKMurakoshiHet al. Microglia contact induces synapse formation in developing somatosensory cortex. Nat Commun. (2016) 7:12540. 10.1038/ncomms12540
35.
MorschMRadfordRLeeADonEKBadrockAPHallTEet al. In vivo characterization of microglial engulfment of dying neurons in the zebrafish spinal cord. Front Cell Neurosci. (2015) 9:321. 10.3389/fncel.2015.00321
36.
Olmedillas Del MoralMAsavapanumasNUzcáteguiNLGaraschukO. Healthy brain aging modifies microglial calcium signaling in vivo. Int J Mol Sci. (2019) 20:589. 10.3390/ijms20030589
37.
ParkhurstCNYangGNinanISavasJNYatesJRLafailleJJet al. Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor. Cell. (2013) 155:1596–609. 10.1016/j.cell.2013.11.030
38.
PeriFNüsslein-VolhardC. Live imaging of neuronal degradation by microglia reveals a role for v0-ATPase a1 in phagosomal fusion in vivo. Cell. (2008) 133:916–27. 10.1016/j.cell.2008.04.037
39.
PoznerAXuBPalumbosSGeeJMTvrdikPCapecchiMR. Intracellular calcium dynamics in cortical microglia responding to focal laser injury in the PC::G5-tdT reporter mouse. Front Mol Neurosci. (2015) 8:12. 10.3389/fnmol.2015.00012
40.
PryazhnikovEMugantsevaECasarottoPKolikovaJFredSMToptunovDet al. Longitudinal two-photon imaging in somatosensory cortex of behaving mice reveals dendritic spine formation enhancement by subchronic administration of low-dose ketamine. Sci Rep. (2018) 8:6464. 10.1038/s41598-018-24933-8
41.
StowellRDSipeGODawesRPBatchelorHNLordyKAWhitelawBSet al. Noradrenergic signaling in the wakeful state inhibits microglial surveillance and synaptic plasticity in the mouse visual cortex. Nat Neurosci. (2019) 22:1782–92. 10.1038/s41593-019-0514-0
42.
SunWSuzukiKToptunovDStoyanovSYuzakiMKhirougLet al. Two-photon imaging of anesthesia-specific alterations in microglial surveillance and photodamage-directed motility in mouse cortex. Front Neurosci. (2019) 13:421. 10.3389/fnins.2019.00421
43.
TaylorSMehinaEWhiteEReesonPYongblahKDoyleKPet al. Suppressing interferon-γ stimulates microglial responses and repair of microbleeds in the diabetic brain. J Neurosci. (2018) 38:8707–22. 10.1523/JNEUROSCI.0734-18.2018
44.
TremblayMLoweryRLMajewskaAK. Microglial interactions with synapses are modulated by visual experience. PLoS Biol. (2010) 8:e1000527. 10.1371/journal.pbio.1000527
45.
UmpierreADBystromLLYingYLiuYUWorrellGWuLJ. Microglial calcium signaling is attuned to neuronal activity in awake mice. Elife. (2020) 9:e56502. 10.7554/eLife.56502
46.
YangGPanFParkhurstCNGrutzendlerJGanWB. Thinned-skull cranial window technique for long-term imaging of the cortex in live mice. Nat Protoc. (2010) 5:201–8. 10.1038/nprot.2009.222
47.
YuXZuoY. Two-photon in vivo imaging of dendritic spines in the mouse cortex using a thinned-skull preparation. J Vis Exp. (2014) 87:51520. 10.3791/51520
48.
DorandRDBarkauskasDSEvansTAPetrosiuteAHuangAY. Comparison of intravital thinned skull and cranial window approaches to study CNS immunobiology in the mouse cortex. Intravital. (2014) 3:e29728. 10.4161/intv.29728
49.
ShihAYDriscollJDDrewPJNishimuraNSchafferCBKleinfeldD. Two-photon microscopy as a tool to study blood flow and neurovascular coupling in the rodent brain. J Cereb Blood Flow Metab. (2012) 32:1277–309. 10.1038/jcbfm.2011.196
50.
HuhYChoJ. Urethane anesthesia depresses activities of thalamocortical neurons and alters its response to nociception in terms of dual firing modes. Front Behav Neurosci. (2013) 7:141. 10.3389/fnbeh.2013.00141
51.
LiNLeeBLiuRJBanasrMDwyerJMIwataMet al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science. (2010) 329:959–64. 10.1126/science.1190287
52.
MadryCKyrargyriVArancibia-CárcamoILJolivetRKohsakaSBryanRMet al. Microglial ramification, surveillance, and interleukin-1β release are regulated by the two-pore domain K. Neuron. (2018) 97:299–312.e6. 10.1016/j.neuron.2017.12.002
53.
XuJWangTWuYJinWWenZ. Microglia colonization of developing zebrafish midbrain is promoted by apoptotic neuron and lysophosphatidylcholine. Dev Cell. (2016) 38:214–22. 10.1016/j.devcel.2016.06.018
54.
SwinnenNSmoldersSAvilaANotelaersKPaesenRAmelootMet al. Complex invasion pattern of the cerebral cortex by microglial cells during development of the mouse embryo. Glia. (2013) 61:150–63. 10.1002/glia.22421
55.
GinhouxFGreterMLeboeufMNandiSSeePGokhanSet al. Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science. (2010) 330:841–5. 10.1126/science.1194637
56.
EyoUBMinerSAWeinerJADaileyME. Developmental changes in microglial mobilization are independent of apoptosis in the neonatal mouse hippocampus. Brain Behav Immun. (2016) 55:49–59. 10.1016/j.bbi.2015.11.009
57.
PaolicelliRCBolascoGPaganiFMaggiLScianniMPanzanelliPet al. Synaptic pruning by microglia is necessary for normal brain development. Science. (2011) 333:1456–8. 10.1126/science.1202529
58.
SchaferDPLehrmanEKKautzmanAGKoyamaRMardinlyARYamasakiRet al. Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron. (2012) 74:691–705. 10.1016/j.neuron.2012.03.026
59.
BakerHMorelKStoneDMMaruniakJA. Adult naris closure profoundly reduces tyrosine hydroxylase expression in mouse olfactory bulb. Brain Res. (1993) 614:109–16. 10.1016/0006-8993(93)91023-l
60.
SawadaMKanekoNInadaHWakeHKatoYYanagawaYet al. Sensory input regulates spatial and subtype-specific patterns of neuronal turnover in the adult olfactory bulb. J Neurosci. (2011) 31:11587–96. 10.1523/JNEUROSCI.0614-11.2011
61.
GholaminSMitraSSFerozeAHLiuJKahnSAZhangMet al. Disrupting the CD47-SIRPα anti-phagocytic axis by a humanized anti-CD47 antibody is an efficacious treatment for malignant pediatric brain tumors. Sci Transl Med. (2017) 9:eaaf2968. 10.1126/scitranslmed.aaf2968
62.
AvignoneELepleuxMAngibaudJNägerlUV. Altered morphological dynamics of activated microglia after induction of status epilepticus. J Neuroinflammation. (2015) 12:202. 10.1186/s12974-015-0421-6
63.
CarbonellWSMuraseSHorwitzAFMandellJW. Migration of perilesional microglia after focal brain injury and modulation by CC chemokine receptor 5: an in situ time-lapse confocal imaging study. J Neurosci. (2005) 25:7040–7. 10.1523/JNEUROSCI.5171-04.2005
64.
Dissing-OlesenLLeDueJMRungtaRLHefendehlJKChoiHBMacVicarBA. Activation of neuronal NMDA receptors triggers transient ATP-mediated microglial process outgrowth. J Neurosci. (2014) 34:10511–27. 10.1523/JNEUROSCI.0405-14.2014
65.
EyoUDaileyME. Effects of oxygen-glucose deprivation on microglial mobility and viability in developing mouse hippocampal tissues. Glia. (2012) 60:1747–60. 10.1002/glia.22394
66.
EyoUBPengJSwiatkowskiPMukherjeeABispoAWuLJ. Neuronal hyperactivity recruits microglial processes via neuronal NMDA receptors and microglial P2Y12 receptors after status epilepticus. J Neurosci. (2014) 34:10528–40. 10.1523/JNEUROSCI.0416-14.2014
67.
EyoUBPengJMuruganMMoMLalaniAXiePet al. Regulation of physical microglia-neuron interactions by fractalkine signaling after status epilepticus. eNeuro. (2016) 3:ENEURO.0209-16.2016. 10.1523/ENEURO.0209-16.2016
68.
FontainhasAMWangMLiangKJChenSMettuPDamaniMet al. Microglial morphology and dynamic behavior is regulated by ionotropic glutamatergic and GABAergic neurotransmission. PLoS ONE. (2011) 6:e15973. 10.1371/journal.pone.0015973
69.
GyonevaSTraynelisSF. Norepinephrine modulates the motility of resting and activated microglia via different adrenergic receptors. J Biol Chem. (2013) 288:15291–302. 10.1074/jbc.M113.458901
70.
GyonevaSDavalosDBiswasDSwangerSAGarnier-AmblardELothFet al. Systemic inflammation regulates microglial responses to tissue damage in vivo. Glia. (2014) 62:1345–60. 10.1002/glia.22686
71.
MatyashMZabiegalovOWendtSMatyashVKettenmannH. The adenosine generating enzymes CD39/CD73 control microglial processes ramification in the mouse brain. PLoS ONE. (2017) 12:e0175012. 10.1371/journal.pone.0175012
72.
ZhaoXLiaoYMorganSMathurRFeustelPMazurkiewiczJet al. Noninflammatory changes of microglia are sufficient to cause epilepsy. Cell Rep. (2018) 22:2080–93. 10.1016/j.celrep.2018.02.004
73.
PfeifferTAvignoneENägerlUV. Induction of hippocampal long-term potentiation increases the morphological dynamics of microglial processes and prolongs their contacts with dendritic spines. Sci Rep. (2016) 6:32422. 10.1038/srep32422
74.
RottermanTMAlvarezFJ. Microglia dynamics and interactions with motoneurons axotomized after nerve injuries revealed by two-photon imaging. Sci Rep. (2020) 10:8648. 10.1038/s41598-020-65363-9
75.
SwiatkowskiPMuruganMEyoUBWangYRangarajuSOhSBet al. Activation of microglial P2Y12 receptor is required for outward potassium currents in response to neuronal injury. Neuroscience. (2016) 318:22–33. 10.1016/j.neuroscience.2016.01.008
76.
WuLJVadakkanKIZhuoM. ATP-induced chemotaxis of microglial processes requires P2Y receptor-activated initiation of outward potassium currents. Glia. (2007) 55:810–21. 10.1002/glia.20500
77.
ZhaoLZabelMKWangXMaWShahPFarissRNet al. Microglial phagocytosis of living photoreceptors contributes to inherited retinal degeneration. EMBO Mol Med. (2015) 7:1179–97. 10.15252/emmm.201505298
78.
GreenhalghADZarrukJGHealyLMBaskar JesudasanSJJhelumPSalmonCKet al. Peripherally derived macrophages modulate microglial function to reduce inflammation after CNS injury. PLoS Biol. (2018) 16:e2005264. 10.1371/journal.pbio.2005264
79.
HattoriYNaitoYTsugawaYNonakaSWakeHNagasawaTet al. Transient microglial absence assists postmigratory cortical neurons in proper differentiation. Nat Commun. (2020) 11:1631. 10.1038/s41467-020-15409-3
80.
KatayamaTKobayashiHOkamuraTYamasaki-KatayamaYKibayashiTKimuraHet al. Accumulating microglia phagocytose injured neurons in hippocampal slice cultures: involvement of p38 MAP kinase. PLoS ONE. (2012) 7:e40813. 10.1371/journal.pone.0040813
81.
NeumannJSauerzweigSRönickeRGunzerFDinkelKUllrichOet al. Microglia cells protect neurons by direct engulfment of invading neutrophil granulocytes: a new mechanism of CNS immune privilege. J Neurosci. (2008) 28:5965–75. 10.1523/JNEUROSCI.0060-08.2008
82.
OhsawaKIrinoYSanagiTNakamuraYSuzukiEInoueKet al. P2Y12 receptor-mediated integrin-beta1 activation regulates microglial process extension induced by ATP. Glia. (2010) 58:790–801. 10.1002/glia.20963
83.
PetersenMADaileyME. Diverse microglial motility behaviors during clearance of dead cells in hippocampal slices. Glia. (2004) 46:195–206. 10.1002/glia.10362
84.
WeinhardLdi BartolomeiGBolascoGMachadoPSchieberNLNeniskyteUet al. Microglia remodel synapses by presynaptic trogocytosis and spine head filopodia induction. Nat Commun. (2018) 9:1228. 10.1038/s41467-018-03566-5
85.
ZhangFNanceEAlnasserYKannanRKannanS. Microglial migration and interactions with dendrimer nanoparticles are altered in the presence of neuroinflammation. J Neuroinflammation. (2016) 13:65. 10.1186/s12974-016-0529-3
86.
KasaharaYKoyamaRIkegayaY. Depth and time-dependent heterogeneity of microglia in mouse hippocampal slice cultures. Neurosci Res. (2016) 111:64–9. 10.1016/j.neures.2016.05.001
87.
ZhangYZhaoLWangXMaWLazereAQianHHet al. Repopulating retinal microglia restore endogenous organization and function under CX3CL1-CX3CR1 regulation. Sci Adv. (2018) 4:eaap8492. 10.1126/sciadv.aap8492
88.
CunninghamCLMartínez-CerdeñoVNoctorSC. Microglia regulate the number of neural precursor cells in the developing cerebral cortex. J Neurosci. (2013) 33:4216–33. 10.1523/JNEUROSCI.3441-12.2013
89.
FrakesAEFerraiuoloLHaidet-PhillipsAMSchmelzerLBraunLMirandaCJet al. Microglia induce motor neuron death via the classical NF-κB pathway in amyotrophic lateral sclerosis. Neuron. (2014) 81:1009–23. 10.1016/j.neuron.2014.01.013
90.
HuppSGrandgirardDMitchellTJLeibSLHathawayLJIlievAI. Pneumolysin and the bacterial capsule of Streptococcus pneumoniae cooperatively inhibit taxis and motility of microglia. J Neuroinflammation. (2019) 16:105. 10.1186/s12974-019-1491-7
91.
KraftADKaltenbachLSLoDCHarryGJ. Activated microglia proliferate at neurites of mutant huntingtin-expressing neurons. Neurobiol Aging. (2012) 33:621.e617-633. 10.1016/j.neurobiolaging.2011.02.015
92.
SellgrenCMGraciasJWatmuffBBiagJDThanosJMWhittredgePBet al. Increased synapse elimination by microglia in schizophrenia patient-derived models of synaptic pruning. Nat Neurosci. (2019) 22:374–85. 10.1038/s41593-018-0334-7
93.
MontillaAZabalaAMatuteCDomercqM. Functional and metabolic characterization of microglia culture in a defined medium. Front Cell Neurosci. (2020) 14:22. 10.3389/fncel.2020.00022
94.
RizziCTiberiAGiustizieriMMarroneMCGobboFCarucciNMet al. NGF steers microglia toward a neuroprotective phenotype. Glia. (2018) 66:1395–1416. 10.1002/glia.23312
95.
WollmerMALuciusRWilmsHHeld-FeindtJSieversJMentleinR. ATP and adenosine induce ramification of microglia in vitro. J Neuroimmunol. (2001) 115:19–27. 10.1016/s0165-5728(01)00257-0
96.
TamWYAuNPMaCH. The association between laminin and microglial morphology in vitro. Sci Rep. (2016) 6:28580. 10.1038/srep28580
97.
CollinsHYBohlenCJ. Isolation and culture of rodent microglia to promote a dynamic ramified morphology in serum-free medium. J Vis Exp. (2018) 57122. 10.3791/57122
98.
SuzumuraASawadaMYamamotoHMarunouchiT. Effects of colony stimulating factors on isolated microglia in vitro. J Neuroimmunol. (1990) 30:111–20. 10.1016/0165-5728(90)90094-4
99.
EderCKleeRHeinemannU. Involvement of stretch-activated Cl− channels in ramification of murine microglia. J Neurosci. (1998) 18:7127–37.
100.
HellwigSBrioschiSDieniSFringsLMasuchABlankTet al. Altered microglia morphology and higher resilience to stress-induced depression-like behavior in CX3CR1-deficient mice. Brain Behav Immun. (2016) 55:126–37. 10.1016/j.bbi.2015.11.008
101.
SocodatoRHenriquesJFPortugalCCAlmeidaTOTedim-MoreiraJAlvesRLet al. Daily alcohol intake triggers aberrant synaptic pruning leading to synapse loss and anxiety-like behavior. Sci Signal. (2020) 13:eaba5754. 10.1126/scisignal.aba5754
102.
BishtKSharmaKPLecoursCSánchezMGEl HajjHMiliorGet al. Dark microglia: a new phenotype predominantly associated with pathological states. Glia. (2016) 64:826–39. 10.1002/glia.22966
103.
BennettMR. Synaptic P2X7 receptor regenerative-loop hypothesis for depression. Aust N Z J Psychiatry. (2007) 41:563–71. 10.1080/00048670701399994
104.
TremblayMStevensBSierraAWakeHBessisANimmerjahnA. The role of microglia in the healthy brain. J Neurosci. (2011) 31:16064–9. 10.1523/JNEUROSCI.4158-11.2011
105.
SchaferDPLehrmanEKStevensB. The “quad-partite” synapse: microglia-synapse interactions in the developing and mature CNS. Glia. (2013) 61:24–36. 10.1002/glia.22389
106.
VenturaRHarrisKM. Three-dimensional relationships between hippocampal synapses and astrocytes. J Neurosci. (1999) 19:6897–906.
107.
GenoudCQuairiauxCSteinerPHirlingHWelkerEKnottGW. Plasticity of astrocytic coverage and glutamate transporter expression in adult mouse cortex. PLoS Biol. (2006) 4:e343. 10.1371/journal.pbio.0040343
108.
ShinYChoiSHKimEBylykbashiEKimJAChungSet al. Blood-brain barrier dysfunction in a 3D in vitro model of Alzheimer's disease. Adv Sci. (2019) 6:1900962. 10.1002/advs.201900962
109.
ShimizuAGohWHItaiSHashimotoMMiuraSOnoeH. ECM-based microchannel for culturing in vitro vascular tissues with simultaneous perfusion and stretch. Lab Chip. (2020) 20:1917–27. 10.1039/d0lc00254b
110.
GoshiNMorganRKLeinPJSekerE. A primary neural cell culture model to study neuron, astrocyte, and microglia interactions in neuroinflammation. J Neuroinflammation. (2020) 17:155. 10.1186/s12974-020-01819-z
Summary
Keywords
microglia, synapse, slice culture, acute slice, multiphoton/two-photon imaging, quadripartite synapse, microglial process, microglial motility
Citation
Andoh M and Koyama R (2021) Assessing Microglial Dynamics by Live Imaging. Front. Immunol. 12:617564. doi: 10.3389/fimmu.2021.617564
Received
15 October 2020
Accepted
16 February 2021
Published
08 March 2021
Volume
12 - 2021
Edited by
Amanda Sierra, Achucarro Basque Center for Neuroscience, Spain
Reviewed by
Ukpong Bassey Eyo, University of Virginia, United States; Marie-Ève Tremblay, University of Victoria, Canada
Updates

Check for updates
Copyright
© 2021 Andoh and Koyama.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ryuta Koyama rkoyama@mol.f.u-tokyo.ac.jp
This article was submitted to Multiple Sclerosis and Neuroimmunology, a section of the journal Frontiers in Immunology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.