A new era for functional labeling of neurons: activity-dependent promoters have come of age

Abstract

Genetic labeling of neurons with a specific response feature is an emerging technology for precise dissection of brain circuits that are functionally heterogeneous at the single-cell level. While immediate early gene mapping has been widely used for decades to identify brain regions which are activated by external stimuli, recent characterization of the promoter and enhancer elements responsible for neuronal activity-dependent transcription have opened new avenues for live imaging of active neurons. Indeed, these advancements provided the basis for a growing repertoire of novel experiments to address the role of active neuronal networks in cognitive behaviors. In this review, we summarize the current literature on the usage and development of activity-dependent promoters and discuss the future directions of this expanding new field.

INTRODUCTION

The central nervous systems of animals, including insects, vertebrates, and primates, are controlled by coordinated action of multiple brain regions. Each brain region consists of thousands of homologous neurons composed of multiple anatomical types. Interestingly, functional neuronal subsets that share similar response features or are coactivated during one behavioral task are usually sparsely scattered within homologous neural populations. For example, in the visual cortex of rodents, neurons of different orientation preferences are intermingled together at the single-cell level (Ohki et al., 2005). Thus, for precise understanding of circuit dynamics underlying cognitive brain function at the cellular level, it is of primary importance to selectively label these functionally defined subsets of neurons and analyze their nature in detail.

One approach towards this goal is to use genomic sequences, e.g., promoters and enhancers, that control the expression of neuronal immediate early genes (IEGs) which are rapidly induced by neuronal activity (Smeyne et al., 1992; Barth, 2007; Inoue et al., 2010; Okuno, 2011). The mechanisms underlying such gene induction events have been characterized in detail in the past. When a neuron receives large amounts of synaptic inputs, calcium ions rapidly flow into neurons through synaptic N-methyl-D-aspartic acid (NMDA) receptors or voltage-gated calcium channels (VGCCs). This turns on several calcium-dependent kinase cascades, which then activate a set of transcription factors and trigger rapid induction of target genes (Bito et al., 1997; Flavell and Greenberg, 2008). In combination with a variety of reporter proteins that can be driven to label neurons, IEG promoters have thus been exploited to map neuronal activation patterns associated with a specific animal sensation or behavior at a cellular resolution.

Among neuronal IEGs, promoters for c-fos (Schilling et al., 1991) and Arc/Arg3.1 (Waltereit et al., 2001; Kawashima et al., 2009; Pintchovski et al., 2009) were well characterized and widely used as a tool to facilitate neuronal activity mapping in situ on histological sections. The availability of novel genetic methods to artificially manipulate neural activity further provided an opportunity to expand the application of activity-dependent promoters, to address new questions in anatomical, electrophysiological, and cognitive research. The promoter of c-fos was successfully employed for investigating the formation of memory engram in rodents (Garner et al., 2012; Liu et al., 2012; Ramirez et al., 2013). Furthermore, the promoter of Arc/Arg3.1 was successfully employed for live imaging of cortical activation both at the cellular scale (Wang et al., 2006; Kawashima et al., 2013) and at the whole-cortex scale (Eguchi and Yamaguchi, 2009; Izumi et al., 2011). Recently, a novel activity-dependent promoter E-SARE (enhanced synaptic activity-responsive element) was engineered, which enabled an activity-based, long-distance axonal tracing in living animals (Kawashima et al., 2013). In this review, we summarize the latest advances and discuss future directions of this expanding new field.

THE RISE OF BRAIN ACTIVITY MAPPING BASED ON IEG EXPRESSION

During the 1970s, several important strategies were developed to selectively label activated brain regions. The first visualization was achieved by the autoradiography of a metabolic marker 2-deoxy-D-glucose (2-DG; Sokoloff et al., 1977). 2-DG was incorporated into tissues with ongoing high energy consumption and, since it could not undergo glycolysis, remained in the incorporated tissue. In the brain, 2-DG was incorporated into active brain regions, serving as a marker for neuronal activation. A less invasive, blood oxygenation level dependent (BOLD) contrast-based method further enabled functional magnetic resonance imaging of live brain activity (Ogawa et al., 1990). However, these whole-brain tissue imaging showed only limited spatial resolution and did not confer cellular resolution.

The first activity mapping with cellular resolution was achieved by immunostaining of inducible gene expression. Preceding studies showed that the proto-oncogene c-fos in cultured cells could be rapidly induced by application of growth factors (Greenberg and Ziff, 1984; Müller et al., 1984; Curran and Morgan, 1985). Taking advantage of this, neurons in the brain that were activated by electrical seizure, tactile stimulation, and water starvation were visualized by immunostaining of c-Fos (Morgan et al., 1987; Sagar et al., 1988). Largely based on these pioneering studies, monitoring of up-regulated expression of IEGs, such as c-fos or zif268/egr-1 (Saffen et al., 1988), and also of activated transcription factors, such as phosphorylated cAMP response element-binding protein (CREB) (Ginty et al., 1993; Bito et al., 1996; Deisseroth et al., 1996), either using immunostaining or in situ hybridization, has become accepted as a widely applicable method to map activated circuits at cellular scale.

Attempts to identify activity-induced genes in the hippocampus led to the cloning of a new IEG, Arc (aka Arg3.1; Link et al., 1995; Lyford et al., 1995). Subsequently, the unique transport kinetics of Arc mRNAs from nucleus to cytoplasm was exploited to build a catFISH (cellular compartment analysis of temporal activity by fluorescent in situ hybridization) assay: by examining the differential localization of Arc mRNA, distinct neuronal ensembles that were activated in two different environments at a 20 min interval could be clearly discriminated (Guzowski et al., 1999). Detailed spatiotemporal analyses of Arc expression further indicated a strong correlation between Arc induction with cognitive behavior in normal as well as aged animals (Small et al., 2004; Ramírez-Amaya et al., 2005; Hartzell et al., 2013).

However, the signal-to-noise ratio of gene expression mapping heavily depended on the labeling protocol and the quality of antibodies or hybridization probes, which sometimes caused high variability/low reliability of the mapping results. To address this issue, the promoter of the c-fos gene was isolated and fused with an expression cassette of a reporter protein, beta-galactosidase (LacZ; Schilling et al., 1991). This led to a generation of fos-lacZ transgenic mice and enabled the activity mapping at a cellular scale with higher signal-to-noise ratio based on β-gal staining (Smeyne et al., 1992; Robertson et al., 1995). These studies also demonstrated the utility of IEG promoters as a versatile tool to label a functionally defined subset of neurons within a heterogeneous neural population.

BRAIN ACTIVITY MAPPING BASED ON ACTIVITY-DEPENDENT PROMOTERS

Following the generation of the first line of fos-lacZ mice, several other transgenic mice that expressed lacZ downstream of activity-dependent promoters were generated such as cAMP response element (CRE)-lacZ (Impey et al., 1996), egr-1-lacZ (Tsai et al., 2000) and fos-tau-lacZ (Wilson et al., 2002) mice. These lacZ transgenic mice enabled histological visualization of active circuits during seizure (Smeyne et al., 1992), development during critical period (Pham et al., 1999) and water deprivation (Wilson et al., 2002). The reliance on LacZ as a reporter, however, required fixation and staining of tissue sections, and this method was therefore not suited for anatomical and physiological investigation of live animals. Furthermore, the relative stability of the LacZ reporter protein caused a high signal background, thus hampering a clean mapping of authentic neural activity.

With the advent and improvement of fluorescent proteins, the destabilized green fluorescent protein (GFP) has become the preferred choice as a reporter of activity-dependent promoters in transgenic mice and virus vectors (Barth et al., 2004; Wang et al., 2006; Eguchi and Yamaguchi, 2009; Grinevich et al., 2009; Kawashima et al., 2009; Okuno et al., 2012). As GFP fluorescence enabled high S/N observation of live neurons, these mice and virus vectors widely expanded the scope of gene expression mapping based on activity-dependent promoters. Two-photon fluorescence microscopy visualized orientation-specific neuronal activation in living animals at single-cell resolution (Wang et al., 2006; Kawashima et al., 2013). Fluorescent live imaging of whole cortical areas revealed brain regions that were visually activated (Eguchi and Yamaguchi, 2009; Grinevich et al., 2009). The use of a bioluminescent protein, firefly luciferase, also enabled visualization of plastic changes in sensory cortices after sensory deprivation (Wada et al., 2010; Izumi et al., 2011).

One drawback of activity mapping based on histological methods is the time-consuming and labor-intensive processing and analysis of histological sections. However, a recent technological advancement, a serial two-photon tomography (STP; Ragan et al., 2012), holds great promise for overcoming this bottleneck. This technique allows automated acquisition of fluorescent images of a histological block surface, which is sequentially cut by an automated microtome. This dramatically reduces the burden of manually preparing serial histological sections and enables serial acquisition of fluorescent images of the entire mouse brain within a couple of days. When appropriately combined with transgenic mice expressing fluorescent reporters downstream of activity-dependent promoters (Osten and Margrie, 2013), this technique provides whole-brain datasets of cellular level activation under various behavioral conditions (Vousden et al., in press).

NEURONAL CELL TYPES LABELED BY THE ACTIVITY-DEPENDENT GENE PROMOTERS

Accumulating histological evidences suggest that activity-dependent genes are differentially regulated in different cell types in distinct brain areas. In the neocortex and the hippocampus, IEGs are mostly up-regulated in excitatory pyramidal neurons (Chaudhuri et al., 1995; Filipkowski, 2000), although inhibitory neurons can also express some IEGs, such as c-fos and Arc, after strong stimulation (Staiger et al., 2002; Vazdarjanova et al., 2006). In contrast, inhibitory granule cells, rather than excitatory mitral cells, mainly express c-fos and Arc in the olfactory bulb (Guenthner et al., 2013). In the striatum, Arc and egr-1, but not c-fos, are strongly expressed by GABAergic medium spiny neurons (Moratalla et al., 1993; Vazdarjanova et al., 2006; Guenthner et al., 2013). In contrast, thalamic areas tend to express c-fos rather than Arc or egr-1 (Steiner and Gerfen, 1994; Link et al., 1995; Lyford et al., 1995). In the cerebellum, c-fos is more expressed than Arc in excitatory granule cells (Guenthner et al., 2013), while both c-fos and Arc can be expressed in cerebellar Purkinje cells (Tian and Bishop, 2002; Smith-Hicks et al., 2010; Mikuni et al., 2013).

Such a variety in cell-type and regional specificity of activity-regulated IEG expression is thought arise from a combination of distinct transcriptional regulation and cellular calcium kinetics. Reporter expression from isolated promoter elements also appears to recapitulate the cell-type or regional preference of the original genes (Eguchi and Yamaguchi, 2009; Yassin et al., 2010; Kawashima et al., 2013). This suggests that it is of primary importance to select the type of activity-dependent promoters depending on the target cell type and brain region in which one wishes to achieve significant activity-dependent reporter expression. Also, to the best of our knowledge, there are as yet no IEGs that are expressed exclusively in a particular cell type, such as GABAergic or dopaminergic. It would thus seem a worthy challenge to seek and characterize novel IEGs and design new synthetic activity-dependent promoters that possess restricted cell-type preferences.

MECHANISMS UNDERLYING ACTIVATION OF ACTIVITY-DEPENDENT GENE PROMOTERS

The mechanisms underlying activation of IEG promoters have been the subject of detailed studies for decades. These core regulatory mechanisms may be largely divided into three steps: influx of calcium ions triggered by synaptic inputs and neural firing, activation of calcium-dependent kinase cascades, and activation of transcription factors by kinases (Bito et al., 1997; Flavell and Greenberg, 2008). When a neuron receives intense synaptic inputs, calcium ions flow into the cytoplasm through NMDA-type glutamate receptors (NMDARs) present at activated synapses as well as through VGCCs that open upon neuronal firing. This in turn stimulates the activation of several calcium-dependent kinase cascades, that comprise Ca²⁺/calmodulin-dependent protein kinases (CaMKs; Bito et al., 1996; Fujii et al., 2013) and mitogen-activated protein kinases (MAPKs; Dolmetsch et al., 2001; Zhai et al., 2013). Finally, activation of these kinases cascades leads to site-specific modulation of activity-dependent transcription factors, such as CREB (Bito et al., 1996), myocyte enhancer factor-2 (MEF2; Mao et al., 1999), and serum-responsive factor (SRF; Norman et al., 1988), thereby turning on rapid transcription of downstream IEGs.

We recently discovered a SARE from the Arc promoter/enhancer region (Kawashima et al., 2009). Our studies on SARE revealed that three different transcription factors, CREB, MEF2, and SRF, cooperated within this ~100 bp locus to induce activity-dependent transcription that was substantially more potent than through the action of each individual factor alone. This finding demonstrated that activity-dependent promoters performed a supralinear integration of the output of several co-activated signaling pathways, in keeping with previous analyses on c-fos (Robertson et al., 1995) and bdnf promoters (West et al., 2001).

At the physiological level, activation of IEG promoters is thought to be an event critical for the conversion of short-term stimuli that transiently activate neurons (with a timescale of milliseconds to minutes) into a long-term neuronal plasticity that requires gene expression (with a timescale of days to years). Such an ability to re-scale information in the time axis seems to be one of the key features of IEG promoter activity, and this may be pivotal in producing persistent traces of neuronal activity. Thus, once a subset of neurons received external stimuli during plasticity induction, they may express a “plasticity-related reporter protein” for a certain period of time (from several hours to a couple of days). Consistently blockade of activity-dependent gene expression pathways led to strong impairment of late-phase LTP and long-term memory without affecting early phase LTP and short-term memory (Bourtchuladze et al., 1994; Abel et al., 1997; Kang et al., 2001; Kida et al., 2002).

ENGINEERING A POTENT SYNTHETIC ACTIVITY-DEPENDENT PROMOTER

Although a large amount of effort has been spent in the past on the application of activity-dependent IEG promoters, very little effort was made to improve endogenous promoters, and create an experimentally optimized synthetic activity-dependent promoter. Notable exceptions were the use of synthetic binding sites for activity-regulated transcription factors (such as multiplexed CRE) to drive expression of several reporter proteins (Impey et al., 1996; Böer et al., 2007). In most of these cases, however, the expression levels of the reporters remained relatively weak, presumably because these artificial promoters did not adequately replicate the coordinated action of multiple transcription factors as found in the context of endogenous IEG promoters (Kawashima et al., 2009).

Recently, a novel engineered synthetic promoter, E-SARE, was successfully constructed based on the SARE enhancer element of the Arc promoter (Kawashima et al., 2009, 2013; Figure 1). The SARE element had a unique “modular” structure: it was short (~100 base pairs); it had cooperative binding sites for three activity-dependent transcription factors, CREB, MEF2, and SRF/TCF; and this element was sufficient to induce a strong transcription independently of the type of the downstream minimal promoters that contains TATA-box (Kawashima et al., 2009). To generate an enhanced promoter based on this modularity, multiple SARE elements were connected in tandem with an adequate linker length. We found combinations with a 5 tandem repeat to yield a sevenfold increase in the reporter expression level. The resulting synthetic promoter, E-SARE, had more than 20-fold higher expression level and 30-fold higher induction ratio than the c-fos promoter (Kawashima et al., 2013; Figure 1).

FIGURE 1

The discovery of SARE and the resulting rational synthesis of the E-SARE promoter was a significant breakthrough, not only because this expanded the palette of available activity-regulated promoters, but mainly because this greatly facilitated the introduction of viral vector strategies into the labeling of active neuronal ensemble. Because of their shortness (<1000 base pairs) and high reporter expression, SARE and E-SARE can be implemented into viral vector backbones such as lentivirus (LV) and adeno-associated virus (AAV), both of which have relatively limited genomic capacities, while allowing substantial flexibility in expression cassette design. As compared with developing transgenic rodents, viral vectors have the further advantage of requiring only a shorter time and much lower cost for production. Finally, it also opens a new avenue by potentially enabling an active ensemble mapping in larger mammalian species other than rodents, such as non-human primates, whose genomic engineering remains technically more challenging.

Table 1 summarizes a list of previously published transgenic animals and viral vectors that took advantage of various activity-dependent promoters to drive a reporter protein in the brain. The downstream reporter proteins were limited to LacZ and EGFP until late 2000s. With the explosion of newly available genetic methods, the genetic resources based on activity-dependent promoters have much broadened in scope and in sophistication (Table 1).

ELECTROPHYSIOLOGICAL CHARACTERIZATION OF NEURONS LABELED WITH ACTIVITY-DEPENDENT PROMOTERS

Despite our detailed understanding of the molecular pathways leading to activity-dependent gene expression, we understand much less about the input patterns of endogenous neuronal activities that trigger activity-dependent gene expression in vivo. Early studies demonstrated that in vivo high-frequency stimulation of medial perforant path axons from the entorhinal cortex triggered Arc mRNA expression in the dentate gyrus of the hippocampus (Link et al., 1995; Steward et al., 1998). In vitro experiments using cultured neurons further indicated that both LTP-inducing and LTD-inducing stimuli induces phosphorylation of an activity-dependent transcription factor CREB (Deisseroth et al., 1996). Consistently, either repeated high-frequency bursts (50Hz) or prolonged, low- frequency stimuli (5Hz) was shown to induce c-Fos expression (Bito et al., 1996).

However, electrophysiological characterization of individual neurons in which activity-dependent transcription has been turned on in living animals was achieved much later. Two studies based on single-cell recording guided by in vivo two-photon fluorescent microscopy provided critical insights into the type of neuronal activity which triggers activity-dependent gene expression. One study was based on FosGFP transgenic mice, in which a cFos-GFP fusion protein was expressed downstream of a c-fos promoter (Barth et al., 2004). This study showed that an increased spontaneous activity was correlated with the FosGFP expression in layer 2/3 pyramidal neurons of the somatosensory barrel cortex (Yassin et al., 2010). Because synaptic connectivity was enriched between FosGFP-positive neurons, the results were indicative of a functional sub-network of highly excitable neurons sparsely embedded in the barrel cortex (Yassin et al., 2010). Another study used a virus vector which expressed destabilized GFP under the E-SARE promoter, and cortical layer 2/3 pyramidal neurons in the barrel cortex were recorded (Kawashima et al., 2013). When the whisker-evoked activity and spontaneous activity were measured, interestingly, only the whisker-evoked activity showed a significant correlation with reporter GFP expression; in sharp contrast, spontaneous activity revealed little correlation (Figure 2). This labeling selectivity for neuronal activity constituted a characteristic feature of E-SARE activation (Kawashima et al., 2013). These results highlighted the critical importance of choosing the right type of the activity-dependent promoters and reporter proteins to correctly target the neural activity to be studied.

FIGURE 2

Multiple lines of evidences suggest that neurons that were marked with activity-dependent promoters might undergo robust changes in electrophysiological and anatomical properties when animals are exposed to various memory-related tasks. In one study, FosGFP mice were trained with repetitive “trace” fear conditioning, and an increase in postsynaptic calcium-permeable AMPA receptors (CP-AMPAR) was exclusively observed in FosGFP-positive neurons, but not in FosGFP-negative neurons, in the anterior cingulate cortex (Descalzi et al., 2012). When FosGFP mice were exposed to repetitive administration of cocaine to evoke psychomotor sensitization, a sign of cocaine addiction, “silent synapses” containing functional NMDA receptors but few functional AMPA receptors were significantly increased in FosGFP-positive neurons in the nucleus accumbens (Koya et al., 2012). Furthermore, a third study showed that upon establishment of contextual fear conditioning, GFP-GluR1^c-fos transgenic mice, which express GFP-GluR1 downstream of tetracycline transactivator (tTA) driven by c-fos promoter (Matsuo et al., 2008), revealed a selective decrease of dendritic spines in GFP-positive neurons in the CA1 neurons of the hippocampus (Sanders et al., 2012). These studies, together, demonstrate the usefulness of activity-dependent promoters in identifying a small number of neurons in which important electrophysiological and morphological changes do occur, which otherwise would have been inevitably missed. Furthermore, this illustrates the reliability of activity-dependent promoters in specifically labeling behaviorally relevant neurons among a majority of functionally heterogenous neurons.

BEHAVIORAL MANIPULATION OF COGNITION IN LIVING ANIMALS BASED ON ACTIVITY-DEPENDENT PROMOTERS

Following recent advancement of genetic and chemical methods for manipulation of neural activity, activity-dependent promoters are now widely being used to modulate neural circuits which underlie cognitive behaviors in living animals. In a pioneering study, Reijmers et al. (2007) developed a “TetTag” method based on a tTA (Gossen and Bujard, 1992). This combinatorial strategy takes advantage of a first transgenic mouse line in which tTA was expressed downstream of c-fos promoter, and a second transgenic mouse line in which a reporter LacZ protein was expressed downstream of tetracycline responsive element (TRE) which is activated by tTA. This double-transgenic design enabled prolonged marker expression (<1–2 weeks) in neurons which were activated during a specific time period that was experimentally defined by doxycycline administration. Based on this system, they found that a subset of the basolateral amygdala (BLA) neurons was activated at the acquisition of fear memory and, 3 days later, the same population was again activated during the retrieval of memory (Reijmers et al., 2007).

This TetTag method has paved the way for a new series of behavioral studies based on manipulation of functionally defined neurons in behaving animals. These studies involve two steps of experiments. First, a specific neuronal subset is labeled using TetTag under a certain behavioral condition through combination of an activity-dependent promoter and a time-restrictive drug administration. The resulting reporter proteins, which persist for several days, are subsequently used for controlling the activity of labeled neurons and their effects on behaviors are examined. A couple of recent studies (Liu et al., 2012; Ramirez et al., 2013) adopted the TetTag system in combination with with AAVs expressing light-gated cation channel channelrhodopsin-2 (ChR2; Boyden et al., 2005), to specifically label activated hippocampal dentate gyrus neurons during the acquisition of contextual fear memory. When this ChR2-TetTag system was combined with aversive experiences (foot shocks), light-driven excitation of the labeled neurons evoked an “artificial” fear response, demonstrating that the reactivation of an “engram” of fear memory was sufficient for memory recall in the hippocampus (Liu et al., 2012). Another study (Garner et al., 2012) used a mouse which expressed designer receptors exclusively activated by designer drugs (DREADD), hM3Dq (Alexander et al., 2009), downstream of TRE. Neurons that were activated in one context was first labeled with hM3Dq in the absence of chemical stimuli, and when these neurons were chemically excited during acquisition of fear memory in another context, a “synthetic memory” was formed in association with the first context (Garner et al., 2012).

An original chemical genetic approach was used by Koya et al. (2009). In this study, a chemical compound Daun02, which is converted into a neuronal silencer daunorubicin by beta-galactosidase activity of LacZ, was used in combination with Fos-LacZ rats. Local injection of Daun02 incapacitated a dominant subset of nucleus accumbens neurons which were previously activated by cocaine administration and thus impaired the formation of context-specific psychomotor sensitization, indicating the presence a functional sub-network which associates the environment and addiction behaviors (Koya et al., 2009).

These newly discovered aspects of learned behaviors demonstrate the unique power of functional labeling based on activity-dependent promoters over conventional anatomy- or cell-type-based labeling. The majority of the publications that used functional labeling so far employed this technique to mark a hippocampal circuit that participated in encoding of external contexts during fear conditioning. However, we recently showed that the scope of functional labeling can be extended to different types of circuits, such as stimulus feature (orientation)-specific circuits in the visual cortex (Kawashima et al., 2013). We anticipate that many exciting discoveries lie ahead when it will become common to selectively manipulate functional neuronal ensembles that are associated with various brain functions.

PERSISTENT LABELING OF FUNCTIONAL NEURONS USING ACTIVITY-DEPENDENT PROMOTERS

One new direction of functional labeling involves conversion of transient expression from activity-dependent promoters into a permanent labeling based on tamoxifen-dependent recombinases, such as CreER^T2 (Feil et al., 1997) or ER^T2-Cre-ER^T2 (Matsuda and Cepko, 2007). This technique uses two transgene cassettes: in the first cassette, a tamoxifen-dependent Cre recombinase is expressed under control of an activity-dependent promoter, and in the second cassette, a “STOP signal”, which is flanked by recombination sequences [such as single loxP or double loxP (such as DIO or FLEX)], is placed between the reporter gene of interest and a constitutive promoter. Upon tamoxifen administration within a sharp time window when the drug-sensitive Cre recombinases are expressed in activated neurons, these recombinases excise the “STOP” signal from the second cassette and the reporters will then be expressed constitutively. One group developed several knock-in mice, called targeted recombination in active population (TRAP), which express CreER^T2 in the endogenous c-fos and Arc locus (Guenthner et al., 2013). Independently, we developed a combinatorial AAV-based system which expresses ER^T2-Cre-ER^T2 downstream of the synthetic E-SARE promoter (Kawashima et al., 2013).

Chronic labeling of once-activated neuronal ensembles using activity-dependent promoters holds huge promises in neuroscience. For example, persistent expression of fluorescent tracers which was induced by E-SARE-driven ER^T2-Cre-ER^T2 successfully labeled and allowed live imaging of long-distance (>3 mm) axons projecting from eye-specific neurons in the lateral geniculate nucleus (LGN) to the layer 4 of the visual cortex (Kawashima et al., 2013). This validates the usefulness of activity-dependent promoters even in functional connectomics studies, where long-distance axons from mixed, but functionally segregated neurons, could be traced to multiple independent target regions. We anticipate that these new toolkits for chronic labeling of active ensembles will provide a much awaited experimental basis to interrogate various aspects of neuronal circuits underlying long-term plastic changes of the brain, such as during nervous system development, during establishment of long-lasting remote memory over months, or in association with age-related neuronal changes over several years.

FUTURE PERSPECTIVES

While vastly improved over the past, the current repertoire of activity-dependent promoters can still be significantly improved. For example, controlling the activity-dependent promoters through drug-controlled transcriptional silencers (Freundlieb et al., 1999) or light-controlled transcription repressors/activators (Wang et al., 2012; Konermann et al., 2013) will enable a much more precise temporal restriction of the neuronal activity that triggers activity-driven expression of the reporter protein. Also, further enhancement of expression levels or dynamic ranges of activity-regulated promoters might be possible through large-scale unbiased mutational screenings (Melnikov et al., 2012). As the developments of a comprehensive genetic toolkit based on activity-dependent promoters progresses, the range of applications for imaging, manipulating and chronically labeling an active ensemble will undoubtedly continue to expand at a fast pace, while also creating massive opportunities to shed new lights on complex animal behaviors that are driven by mixed ensembles of active neurons in heterologous neuronal circuits in multiple brain areas.

REFERENCES

• 1

  AbelT.NguyenP. V.BaradM.DeuelT. A.KandelE. R.BourtchouladzeR. (1997). Genetic demonstration of a role for PKA in the late phase of LTP and in hippocampus-based long-term memory.Cell88615–626. 10.1016/S0092-8674(00)81904-2

  • CrossRef
  • Google Scholar

• 2

  AlexanderG. M.RoganS. C.AbbasA. I.ArmbrusterB. N.PeiY.AllenJ.et al (2009). Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors.Neuron6327–39. 10.1016/j.neuron.2009.06.014

  • CrossRef
  • Google Scholar

• 3

  BarthA. L. (2007). Visualizing circuits and systems using transgenic reporters of neural activity.Curr. Opin. Neurobiol.17567–571. 10.1016/j.conb.2007.10.003

  • CrossRef
  • Google Scholar

• 4

  BarthA. L.GerkinR. C.DeanK. L. (2004). Alteration of neuronal firing properties after in vivo experience in a FosGFP transgenic mouse.J. Neurosci.246466–6475. 10.1523/JNEUROSCI.4737-03.2004

  • CrossRef
  • Google Scholar

• 5

  BitoH.DeisserothK.TsienR. W. (1996). CREB Phosphorylation and Dephosphorylation: a Ca²⁺ - and Stimulus Duration – Dependent Switch for Hippocampal Gene Expression.Cell871203–1214. 10.1016/S0092-8674(00)81816-4

  • CrossRef
  • Google Scholar

• 6

  BitoH.DeisserothK.TsienR. W. (1997). Ca²⁺-dependent regulation in neuronal gene expression.Curr. Opin. Neurobiol.7419–429. 10.1016/S0959-4388(97)80072-4

  • CrossRef
  • Google Scholar

• 7

  BöerU.AlejelT.BeimescheS.CiernyI.KrauseD.KnepelW.et al (2007). CRE/CREB-driven up-regulation of gene expression by chronic social stress in CRE-luciferase transgenic mice: reversal by antidepressant treatment.PLoS ONE2:e431. 10.1371/journal.pone.0000431

  • CrossRef
  • Google Scholar

• 8

  BourtchuladzeR.FrenguelliB.BlendyJ.CioffiD.SchutzG.SilvaA. J. (1994). Deficient long-term memory in mice with a targeted mutation of the cAMP-responsive element-binding protein.Cell7959–68. 10.1016/0092-8674(94)90400-6

  • CrossRef
  • Google Scholar

• 9

  BoydenE. S.ZhangF.BambergE.NagelG.DeisserothK. (2005). Millisecond-timescale, genetically targeted optical control of neural activity.Nat. Neurosci.81263–1268. 10.1038/nn1525

  • CrossRef
  • Google Scholar

• 10

  ChaudhuriA.MatsubaraJ. A.CynaderM. S. (1995). Neuronal activity in primate visual cortex assessed by immunostaining for the transcription factor Zif268.Vis. Neurosci.1235–50. 10.1017/S095252380000729X

  • CrossRef
  • Google Scholar

• 11

  CifaniC.KoyaE.NavarreB. M.CaluD. J.BaumannM. H.MarchantN. J.et al (2012). Medial prefrontal cortex neuronal activation and synaptic alterations after stress-induced reinstatement of palatable food seeking: a study using c-fos-GFP transgenic female rats.J. Neurosci.328480–8490. 10.1523/JNEUROSCI.5895-11.2012

  • CrossRef
  • Google Scholar

• 12

  CurranT.MorganJ. I. (1985). Superinduction of c-fos by nerve growth factor in the presence of peripherally active benzodiazepines.Science2291265–1268. 10.1126/science.4035354

  • CrossRef
  • Google Scholar

• 13

  DeisserothK.BitoH.TsienR. W. (1996). Signaling from synapse to nucleus: postsynaptic CREB phosphorylation during multiple forms of hippocampal synaptic plasticity.Neuron1689–101. 10.1016/S0896-6273(00)80026-4

  • CrossRef
  • Google Scholar

• 14

  DescalziG.LiX.-Y.ChenT.MercaldoV.KogaK.ZhuoM. (2012). Rapid synaptic potentiation within the anterior cingulate cortex mediates trace fear learning.Mol. Brain5610.1186/1756-6606-5-6

  • CrossRef
  • Google Scholar

• 15

  DolmetschR. E.PajvaniU.FifeK.SpottsJ. M.GreenbergM. E. (2001). Signaling to the nucleus by an L-type calcium channel-calmodulin complex through the MAP kinase pathway.Science294333–339. 10.1126/science.1063395

  • CrossRef
  • Google Scholar

• 16

  EguchiM.YamaguchiS. (2009). In vivo and in vitro visualization of gene expression dynamics over extensive areas of the brain.Neuroimage441274–1283. 10.1016/j.neuroimage.2008.10.046

  • CrossRef
  • Google Scholar

• 17

  FeilR.WagnerJ.MetzgerD.ChambonP. (1997). Regulation of Cre recombinase activity by mutated estrogen receptor ligand-binding domains.Biochem. Biophys. Res. Commun.237752–757. 10.1006/bbrc.1997.7124

  • CrossRef
  • Google Scholar

• 18

  FilipkowskiR. K. (2000). Tactile experience induces c-fos expression in rat barrel cortex.Learn. Mem.7116–122. 10.1101/lm.7.2.116

  • CrossRef
  • Google Scholar

• 19

  FlavellS. W.GreenbergM. E. (2008). Signaling mechanisms linking neuronal activity to gene expression and plasticity of the nervous system.Annu. Rev. Neurosci.31563–590. 10.1146/annurev.neuro.31.060407.125631

  • CrossRef
  • Google Scholar

• 20

  FreundliebS.Schirra-MuC.BujardH. (1999). A tetracycline controlled activation / repression system with increased potential for gene transfer into mammalian cells.J. Gene. Med.14–12. 10.1002/(SICI)1521-2254(199901/02)1:1<4::AID-JGM4>3.0.CO;2-Y

  • CrossRef
  • Google Scholar

• 21

  FujiiH.InoueM.OkunoH.SanoY.Takemoto-KimuraS.KitamuraK.et al (2013). Nonlinear decoding and asymmetric representation of neuronal input information by CaMKIIα and calcineurin.Cell Rep.3978–987. 10.1016/j.celrep.2013.03.033

  • CrossRef
  • Google Scholar

• 22

  GarnerA. R.RowlandD. C.HwangS. Y.BaumgaertelK.RothB. L.KentrosC.et al (2012). Generation of a synthetic memory trace.Science3351513–1516. 10.1126/science.1214985

  • CrossRef
  • Google Scholar

• 23

  GeuszM. E.FletcherC.BlockG. D.StraumeM.CopelandN. G.JenkinsN.et al (1997). Long-term monitoring of circadian rhythms in c-fos gene expression from suprachiasmatic nucleus cultures.Curr. Biol.7758–766. 10.1016/S0960-9822(06)00334-4

  • CrossRef
  • Google Scholar

• 24

  GintyD. D.KornhauserJ. M.ThompsonM. A.BadingH.MayoK. E.TakahashiJ. S.et al (1993). Regulation of CREB phosphorylation in the suprachiasmatic nucleus by light and a circadian clock.Science260238–241. 10.1126/science.8097062

  • CrossRef
  • Google Scholar

• 25

  GossenM.BujardH. (1992). Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.Proc. Natl. Acad. Sci. U.S.A.895547–5551. 10.1073/pnas.89.12.5547

  • CrossRef
  • Google Scholar

• 26

  GreenbergM. E.ZiffE. B. (1984). Stimulation of 3T3 cells induces transcription of the c-fos proto-oncogene.Nature311433–438. 10.1038/311433a0

  • CrossRef
  • Google Scholar

• 27

  GrinevichV.KollekerA.EliavaM.TakadaN.TakumaH.FukazawaY.et al (2009). Fluorescent Arc/Arg3.1 indicator mice: a versatile tool to study brain activity changes in vitro and in vivo.J. Neurosci. Methods18425–36. 10.1016/j.jneumeth.2009.07.015

  • CrossRef
  • Google Scholar

• 28

  GuenthnerC. J.MiyamichiK.YangH. H.HellerH. C.LuoL. (2013). Permanent genetic access to transiently active neurons via TRAP: targeted recombination in active populations.Neuron78773–784. 10.1016/j.neuron.2013.03.025

  • CrossRef
  • Google Scholar

• 29

  GuzowskiJ. F.McNaughtonB. L.BarnesC. A.WorleyP. F. (1999). Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles.Nat. Neurosci.21120–1124. 10.1038/16046

  • CrossRef
  • Google Scholar

• 30

  HartzellA. L.BurkeS. N.HoangL. T.ListerJ. P.RodriguezC. N.BarnesC. A. (2013). Transcription of the immediate-early gene Arc in CA1 of the hippocampus reveals activity differences along the proximodistal axis that are attenuated by advanced age.J. Neurosci.333424–3433. 10.1523/JNEUROSCI.4727-12.2013

  • CrossRef
  • Google Scholar

• 31

  ImpeyS.MarkM.VillacresE. C.PoserS.ChavkinC.StormD. R. (1996). Induction of CRE-mediated gene expression by stimuli that generate long-lasting LTP in area CA1 of the hippocampus.Neuron16973–982. 10.1016/S0896-6273(00)80120-8

  • CrossRef
  • Google Scholar

• 32

  InoueM.Yagishita-KyoN.NonakaM.KawashimaT.OkunoH.BitoH. (2010). Synaptic activity-responsive element (SARE): a unique genomic structure with an unusual sensitivity to neuronal activity.Commun. Integr. Biol.3443–446. 10.4161/cib.3.5.12287

  • CrossRef
  • Google Scholar

• 33

  IzumiH.IshimotoT.YamamotoH.NishijoH.MoriH. (2011). Bioluminescence imaging of Arc expression enables detection of activity-dependent and plastic changes in the visual cortex of adult mice.Brain Struct. Funct.21691–104. 10.1007/s00429-010-0297-2

  • CrossRef
  • Google Scholar

• 34

  KangH.SunL. D.AtkinsC. M.SoderlingT. R.WilsonM. A.TonegawaS. (2001). An important role of neural activity-dependent CaMKIV signaling in the consolidation of long-term memory.Cell106771–783. 10.1016/S0092-8674(01)00497-4

  • CrossRef
  • Google Scholar

• 35

  KasofG. M.MandelzysA.MaikaS. D.HammerR. E.CurranT.MorganJ. I. (1995). Kainic acid-induced neuronal death is associated with DNA damage and a unique immediate-early gene response in c-fos-lacZ transgenic rats.J. Neurosci.154238–4249.

  • Google Scholar

• 36

  KawashimaT.KitamuraK.SuzukiK.NonakaM.KamijoS.Takemoto-KimuraS.et al (2013). Functional labeling of neurons and their projections using the synthetic activity-dependent promoter E-SARE.Nat. Methods10889–895. 10.1038/nmeth.2559

  • CrossRef
  • Google Scholar

• 37

  KawashimaT.OkunoH.NonakaM.Adachi-MorishimaA.KyoN.OkamuraM.et al (2009). Synaptic activity-responsive element in the Arc/Arg3.1 promoter essential for synapse-to-nucleus signaling in activated neurons.Proc. Natl. Acad. Sci. U.S.A.106316–321. 10.1073/pnas.0806518106

  • CrossRef
  • Google Scholar

• 38

  KidaS.JosselynS. A.Peña de OrtizS.KoganJ. H.ChevereI.MasushigeS.et al (2002). CREB required for the stability of new and reactivated fear memories.Nat. Neurosci.5348–355. 10.1038/nn819

  • CrossRef
  • Google Scholar

• 39

  KnapskaE.MaciasM.MikoszM.NowakA.OwczarekD.WawrzyniakM.et al (2012). Functional anatomy of neural circuits regulating fear and extinction.Proc. Natl. Acad. Sci. U.S.A.10917093–17098. 10.1073/pnas.1202087109

  • CrossRef
  • Google Scholar

• 40

  KonermannS.BrighamM. D.TrevinoA. E.HsuP. D.HeidenreichM.CongL.et al (2013). Optical control of mammalian endogenous transcription and epigenetic states.Nature500472–476. 10.1038/nature12466

  • CrossRef
  • Google Scholar

• 41

  KoyaE.CruzF. C.AtorR.GoldenS. A.HoffmanA. F.LupicaC. R.et al (2012). Silent synapses in selectively activated nucleus accumbens neurons following cocaine sensitization.Nat. Neurosci.151556–1562. 10.1038/nn.3232

  • CrossRef
  • Google Scholar

• 42

  KoyaE.GoldenS. A.HarveyB. K.Guez-BarberD. H.BerkowA.SimmonsD. E.et al (2009). Targeted disruption of cocaine-activated nucleus accumbens neurons prevents context-specific sensitization.Nat. Neurosci.121069–1073. 10.1038/nn.2364

  • CrossRef
  • Google Scholar

• 43

  LinkW.KonietzkoU.KauselmannG.KrugM.SchwankeB.FreyU.et al (1995). Somatodendritic expression of an immediate early gene is regulated by synaptic activity.Proc. Natl. Acad. Sci. U.S.A.925734–5738. 10.1073/pnas.92.12.5734

  • CrossRef
  • Google Scholar

• 44

  LiuX.RamirezS.PangP. T.PuryearC. B.GovindarajanA.DeisserothK.et al (2012). Optogenetic stimulation of a hippocampal engram activates fear memory recall.Nature484381–385. 10.1038/nature11028

  • CrossRef
  • Google Scholar

• 45

  LyfordG. L.YamagataK.KaufmannW. E.BarnesC. A.SandersL. K.CopelandN. G.et al (1995). Arc, a growth factor and activity-regulated gene, encodes a novel cytoskeleton-associated protein that is enriched in neuronal dendrites.Neuron14433–445. 10.1016/0896-6273(95)90299-6

  • CrossRef
  • Google Scholar

• 46

  ManP.-S.WellsT.CarterD. A. (2007). Egr-1-d2EGFP transgenic rats identify transient populations of neurons and glial cells during postnatal brain development.Gene Expr. Patterns7872–883. 10.1016/j.modgep.2007.06.006

  • CrossRef
  • Google Scholar

• 47

  MaoZ.BonniA.XiaF.Nadal-VicensM.GreenbergM. E. (1999). Neuronal activity-dependent cell survival mediated by transcription factor MEF2.Science286785–790. 10.1126/science.286.5440.785

  • CrossRef
  • Google Scholar

• 48

  MatsudaT.CepkoC. L. (2007). Controlled expression of transgenes introduced by in vivo electroporation.Proc. Natl. Acad. Sci. U.S.A.1041027–1032. 10.1073/pnas.0610155104

  • CrossRef
  • Google Scholar

• 49

  MatsuoN.ReijmersL.MayfordM. (2008). Spine-type-specific recruitment of newly synthesized AMPA receptors with learning.Science3191104–1107. 10.1126/science.1149967

  • CrossRef
  • Google Scholar

• 50

  MelnikovA.MuruganA.ZhangX.TesileanuT.WangL.RogovP.et al (2012). Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay.Nat. Biotechnol.30271–277. 10.1038/nbt.2137

  • CrossRef
  • Google Scholar

• 51

  MikuniT.UesakaN.OkunoH.HiraiH.DeisserothK.BitoH.et al (2013). Arc/Arg3.1 is a postsynaptic mediator of activity-dependent synapse elimination in the developing cerebellum.Neuron781024–1035. 10.1016/j.neuron.2013.04.036

  • CrossRef
  • Google Scholar

• 52

  MoratallaR.VickersE.RobertsonH.CochranB.GraybiellA. (1993). Coordinate expression striatum by cocaine of c-fos and jun B is induced in the rat striatum by cocaine.J. Neurosci.13423–433.

  • Google Scholar

• 53

  MorganJ. I.CohenD. R.HempsteadJ. L.CurranT. (1987). Mapping patterns of c-fos expression in the central nervous system after seizure.Science237192–197. 10.1126/science.3037702

  • CrossRef
  • Google Scholar

• 54

  MüllerR.BravoR.BurckhardtJ.CurranT. (1984). Induction of c-fos gene and protein by growth factors precedes activation of c-myc.Nature312716–720. 10.1038/312716a0

  • CrossRef
  • Google Scholar

• 55

  NormanC.RunswickM.PollockR.TreismanR. (1988). Isolation and properties of cDNA clones encoding SRF, a transcription factor that binds to the c-fos serum response element.Cell55989–1003. 10.1016/0092-8674(88)90244-9

  • CrossRef
  • Google Scholar

• 56

  OgawaS.LeeT. M.KayA. R.TankD. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation.Proc. Natl. Acad. Sci. U.S.A.879868–9872. 10.1073/pnas.87.24.9868

  • CrossRef
  • Google Scholar

• 57

  OhkiK.ChungS.Ch’ngY. H.KaraP.ReidR. C. (2005). Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex.Nature433597–603. 10.1038/nature03274

  • CrossRef
  • Google Scholar

• 58

  OkunoH. (2011). Regulation and function of immediate-early genes in the brain: beyond neuronal activity markers.Neurosci. Res.69175–186. 10.1016/j.neures.2010.12.007

  • CrossRef
  • Google Scholar

• 59

  OkunoH.AkashiK.IshiiY.Yagishita-KyoN.SuzukiK.NonakaM.et al (2012). Inverse synaptic tagging of inactive synapses via dynamic interaction of Arc/Arg3.1 with CaMKIIβ.Cell149886–898. 10.1016/j.cell.2012.02.062

  • CrossRef
  • Google Scholar

• 60

  OstenP.MargrieT. W. (2013). Mapping brain circuitry with a light microscope.Nat. Methods10515–523. 10.1038/nmeth.2477

  • CrossRef
  • Google Scholar

• 61

  PhamT. A.ImpeyS.StormD. R.StrykerM. P. (1999). CRE-mediated gene transcription in neocortical neuronal plasticity during the developmental critical period.Neuron2263–72. 10.1016/S0896-6273(00)80679-0

  • CrossRef
  • Google Scholar

• 62

  PintchovskiS. A.PeeblesC. L.KimH. J.VerdinE.FinkbeinerS. (2009). The serum response factor and a putative novel transcription factor regulate expression of the immediate-early gene Arc/Arg3.1 in neurons. J. Neurosci.291525–1537. 10.1523/JNEUROSCI.5575-08.2009

  • CrossRef
  • Google Scholar

• 63

  RaganT.KadiriL. R.VenkatarajuK. U.BahlmannK.SutinJ.TarandaJ.et al (2012). Serial two-photon tomography for automated ex vivo mouse brain imaging.Nat. Methods9255–258. 10.1038/nmeth.1854

  • CrossRef
  • Google Scholar

• 64

  RamirezS.LiuX.LinP.-A.SuhJ.PignatelliM.RedondoR. L.et al (2013). Creating a false memory in the hippocampus.Science341387–391. 10.1126/science.1239073

  • CrossRef
  • Google Scholar

• 65

  Ramírez-AmayaV.VazdarjanovaA.MikhaelD.RosiS.WorleyP. F.BarnesC. A. (2005). Spatial exploration-induced Arc mRNA and protein expression: evidence for selective, network-specific reactivation.J. Neurosci.251761–1768. 10.1523/JNEUROSCI.4342-04.2005

  • CrossRef
  • Google Scholar

• 66

  ReijmersL. G.PerkinsB. L.MatsuoN.MayfordM. (2007). Localization of a stable neural correlate of associative memory.Science3171230–1233. 10.1126/science.1143839

  • CrossRef
  • Google Scholar

• 67

  RobertsonL. M.KerppolaT. K.VendrellM.LukD.SmeyneR. J.BocchiaroC.et al (1995). Regulation of c-fos expression in transgenic mice requires multiple interdependent transcription control elements.Neuron14241–252. 10.1016/0896-6273(95)90282-1

  • CrossRef
  • Google Scholar

• 68

  SaffenD. W.ColeA. J.WorleyP. F.ChristyB. A.RyderK.BarabanJ. M. (1988). Convulsant-induced increase in transcription factor messenger RNAs in rat brain.Proc. Natl. Acad. Sci. U.S.A.857795–7799. 10.1073/pnas.85.20.7795

  • CrossRef
  • Google Scholar

• 69

  SagarS. M.SharpF. R.CurranT. (1988). Expression of c-fos protein in brain: metabolic mapping at the cellular level.Science2401328–1331. 10.1126/science.3131879

  • CrossRef
  • Google Scholar

• 70

  SandersJ.CowansageK.BaumgärtelK.MayfordM. (2012). Elimination of dendritic spines with long-term memory is specific to active circuits.J. Neurosci.3212570–12578. 10.1523/JNEUROSCI.1131-12.2012

  • CrossRef
  • Google Scholar

• 71

  SchillingK.LukD.MorganJ. I.CurranT. (1991). Regulation of a fos-lacZ fusion gene: a paradigm for quantitative analysis of stimulus-transcription coupling.Proc. Natl. Acad. Sci. U.S.A.885665–5669. 10.1073/pnas.88.13.5665

  • CrossRef
  • Google Scholar

• 72

  SmallS. A.ChawlaM. K.BuonocoreM.RappP. R.BarnesC. A. (2004). Imaging correlates of brain function in monkeys and rats isolates a hippocampal subregion differentially vulnerable to aging.Proc. Natl. Acad. Sci. U.S.A.1017181–7186. 10.1073/pnas.0400285101

  • CrossRef
  • Google Scholar

• 73

  SmeyneR. J.SchillingK.RobertsonL.LukD.OberdickJ.CurranT.et al (1992). fos-lacZ transgenic mice: mapping sites of gene induction in the central nervous system.Neuron813–23. 10.1016/0896-6273(92)90105-M

  • CrossRef
  • Google Scholar

• 74

  Smith-HicksC.XiaoB.DengR.JiY.ZhaoX.ShepherdJ. D.et al (2010). SRF binding to SRE 6.9 in the Arc promoter is essential for LTD in cultured Purkinje cells. Nat. Neurosci.131082–1089. 10.1038/nn.2611

  • CrossRef
  • Google Scholar

• 75

  SokoloffL.ReivichM.KennedyC.Des RosiersM. H.PatlakC. S.PettigrewK. D.et al (1977). The [14C]deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat.J. Neurochem.28897–916. 10.1111/j.1471-4159.1977.tb10649.x

  • CrossRef
  • Google Scholar

• 76

  StaigerJ. F.MasanneckC.BislerS.SchleicherA.ZuschratterW.ZillesK. (2002). Excitatory and inhibitory neurons express c-Fos in barrel-related columns after exploration of a novel environment.Neuroscience109687–699. 10.1016/S0306-4522(01)00501-2

  • CrossRef
  • Google Scholar

• 77

  SteinerH.GerfenC. R. (1994). Tactile sensory input regulates basal and apomorphine-induced immediate-early gene expression in rat barrel cortex.J. Comp. Neurol.344297–304. 10.1002/cne.903440210

  • CrossRef
  • Google Scholar

• 78

  StewardO.WallaceC. S.LyfordG. L.WorleyP. F. (1998). Synaptic activation causes the mRNA for the IEG Arc to localize selectively near activated postsynaptic sites on dendrites.Neuron21741–751. 10.1016/S0896-6273(00)80591-7

  • CrossRef
  • Google Scholar

• 79

  TianJ. B.BishopG. A. (2002). Stimulus-dependent activation of c-Fos in neurons and glia in the rat cerebellum.J. Chem. Neuroanat.23157–170. 10.1016/S0891-0618(01)00153-3

  • CrossRef
  • Google Scholar

• 80

  TsaiJ. C.LiuL.CooleyB. C.DiChiaraM. R.TopperJ. N.AirdW. C. (2000). The Egr-1 promoter contains information for constitutive and inducible expression in transgenic mice.FASEB J.141870–1872. 10.1096/fj.99-1072fje

  • CrossRef
  • Google Scholar

• 81

  VazdarjanovaA.Ramirez-amayaV.InselN.PlummerT. K.RosiS.ChowdhuryS.et al (2006). Spatial exploration induces ARC, a only in calcium / calmodulin-dependent protein kinase II-positive principal excitatory and inhibitory neurons of the rat forebrain.J. Comp. Neurol.498317–329. 10.1002/cne.21003

  • CrossRef
  • Google Scholar

• 82

  VousdenD. A.EppJ.OkunoH.NiemanB. J.van EedeM.DazaiJ.et al (in press). Whole-brain mapping of behaviorally-induced neural activation in mice. Brain Struc. Func.

  • Google Scholar

• 83

  WadaM.WatanabeS.ChungU.HigoN.TaniguchiT.KitazawaS. (2010). Noninvasive bioluminescence imaging of c-fos expression in the mouse barrel cortex.Behav. Brain Res.208158–162. 10.1016/j.bbr.2009.11.024

  • CrossRef
  • Google Scholar

• 84

  WaltereitR.WulffP.ScafidiJ.StaubliU.KauselmannG.BundmanM.et al (2001). Arg3. 1 / Arc mRNA induction by Ca ²⁺ and cAMP requires protein kinase a and mitogen-activated protein kinase / extracellular regulated kinase activation.J. Neurosci.215484–5493.

  • Google Scholar

• 85

  WangK. H.MajewskaA.SchummersJ.FarleyB.HuC.SurM.et al (2006). In vivo two-photon imaging reveals a role of arc in enhancing orientation specificity in visual cortex.Cell126389–402. 10.1016/j.cell.2006.06.038

  • CrossRef
  • Google Scholar

• 86

  WangX.ChenX.YangY. (2012). Spatiotemporal control of gene expression by a light-switchable transgene system.Nat. Methods9266–269. 10.1038/nmeth.1892

  • CrossRef
  • Google Scholar

• 87

  WestA. E.ChenW. G.DalvaM. B.DolmetschR. E.KornhauserJ. M.ShaywitzA. J.et al (2001). Calcium regulation of neuronal gene expression.Proc. Natl. Acad. Sci. U.S.A.9811024–11031. 10.1073/pnas.191352298

  • CrossRef
  • Google Scholar

• 88

  WilsonY.NagN.DavernP.OldfieldB. J.McKinleyM. J.GreferathU.et al (2002). Visualization of functionally activated circuitry in the brain.Proc. Natl. Acad. Sci. U.S.A.993252–3257. 10.1073/pnas.042701199

  • CrossRef
  • Google Scholar

• 89

  YassinL.BenedettiB. L.JouhanneauJ.-S.WenJ. A.PouletJ. F. A.BarthA. L. (2010). An embedded subnetwork of highly active neurons in the neocortex.Neuron681043–1050. 10.1016/j.neuron.2010.11.029

  • CrossRef
  • Google Scholar

• 90

  ZhaiS.ArkE. D.Parra-BuenoP.YasudaR. (2013). Long-distance integration of nuclear ERK signaling triggered by activation of a few dendritic spines.Science3421107–1111. 10.1126/science.1245622

  • CrossRef
  • Google Scholar