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Original Research ARTICLE

Front. Neurosci., 19 March 2019 | https://doi.org/10.3389/fnins.2019.00240

Tanycyte-Independent Control of Hypothalamic Leptin Signaling

  • 1Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, United States
  • 2Department of Ophthalmology, Johns Hopkins University, Baltimore, MD, United States
  • 3Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
  • 4Center for Human Systems Biology, Johns Hopkins University, Baltimore, MD, United States
  • 5School of Medicine, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, United States

Leptin is secreted by adipocytes to regulate appetite and body weight. Recent studies have reported that tanycytes actively transport circulating leptin across the brain barrier into the hypothalamus, and are required for normal levels of hypothalamic leptin signaling. However, direct evidence for leptin receptor (LepR) expression is lacking, and the effect of tanycyte-specific deletion of LepR has not been investigated. In this study, we analyze the expression and function of the tanycytic LepR in mice. Using single-molecule fluorescent in situ hybridization (smfISH), RT-qPCR, single-cell RNA sequencing (scRNA-Seq), and selective deletion of the LepR in tanycytes, we are unable to detect expression of LepR in the tanycytes. Tanycyte-specific deletion of LepR likewise did not affect leptin-induced pSTAT3 expression in hypothalamic neurons, regardless of whether leptin was delivered by intraperitoneal or intracerebroventricular injection. Finally, we use activity-regulated scRNA-Seq (act-Seq) to comprehensively profile leptin-induced changes in gene expression in all cell types in mediobasal hypothalamus. Clear evidence for leptin signaling is only seen in endothelial cells and subsets of neurons, although virtually all cell types show leptin-induced changes in gene expression. We thus conclude that LepR expression in tanycytes is either absent or undetectably low, that tanycytes do not directly regulate hypothalamic leptin signaling through a LepR-dependent mechanism, and that leptin regulates gene expression in diverse hypothalamic cell types through both direct and indirect mechanisms.

Introduction

Leptin is a cytokine-like hormone, mainly produced by adipocytes to signal levels of stored energy to the central nervous system (CNS). Hypothalamic neurons that regulate feeding and body weight are directly modulated by leptin, and show leptin-induced pSTAT3 expression within 30 min following either intraperitoneal (i.p.) or intracerebroventricular (i.c.v.) injection (Vaisse et al., 1996; Hubschle et al., 2001; Bates et al., 2003). However, the question of how circulating leptin is able to signal to hypothalamic neurons, which largely reside behind the blood-brain barrier (BBB), is still not fully resolved, despite many years of effort (El-Haschimi et al., 2000). Active transport of leptin into the hypothalamic parenchyma by endothelial cells has been put forward as one of the mechanisms (Banks et al., 1996; Di Spiezio et al., 2018). A second mechanism involving β2 tanycytes lining the median eminence of the hypothalamus has also been proposed (Langlet et al., 2013b; Balland et al., 2014); this model proposes that β2 tanycytes express leptin receptor (LepR), which binds circulating leptin. This in turn triggers transcytosis of the LepR-leptin complex, and transport of leptin into the lumen of the third ventricle, after which it is taken up into the hypothalamic parenchyma. Disruption of this process has been proposed as a possible mechanism behind the development of leptin resistance (Gao et al., 2014; Prevot et al., 2018). Increasing interest in the role of tanycytes has also raised the question of whether leptin signaling in tanycytes might directly affect regulation of hypothalamic metabolism more generally (Goodman and Hajihosseini, 2015; Djogo et al., 2016).

However, several key pieces of data on the potential physiological role of leptin signaling in tanycytes are missing. Biochemical approaches, which rely on antibody-based analysis of LepR expression and function (Hakansson et al., 1998; Mutze et al., 2006; Pan et al., 2008a), have been almost exclusively used to investigate this topic. These data, however, are dependent on the availability of highly specific antibodies, and recent work has clearly shown that many commercially available antibodies lack sufficient specificity, raising concerns about the accuracy of these results (Rhodes and Trimmer, 2006; Venkataraman et al., 2018). With this in mind, it is essential to determine whether LepR mRNA is actually expressed in tanycytes, and whether selective loss of function of LepR leads to disruption of leptin signaling in hypothalamus, before more substantial effort is invested in researching this topic.

In this study, we used a variety of highly sensitive techniques to investigate whether LepR mRNA is expressed in tanycytes, and to test whether leptin signaling in tanycytes is necessary for control of leptin signaling in hypothalamic neurons. Using a range of techniques – including single molecule fluorescent in situ hybridization (smfISH), quantitative PCR (RT-qPCR) of sorted tanycytes, and scRNA-Seq analysis – we are unable to detect LepR mRNA expression in either adult or neonatal hypothalamic tanycytes, under conditions of either fasting or unrestricted food access. Moreover, selective deletion of LepR in tanycytes using the highly selective and efficient Rax-CreERT2 line (Pak et al., 2014) fails to lead to any changes in pSTAT3 staining following either i.p. or intracerebral delivery of recombinant leptin. Finally, act-Seq analysis of leptin-treated hypothalamus reveals that, while all hypothalamic cells showed some level of change in gene expression relative to saline-treated controls, substantial changes in known leptin-regulated genes are mainly observed in endothelial cells and subsets of neurons. These findings imply that tanycytes do not directly respond to leptin, and do not regulate leptin signaling in hypothalamic neurons via LepR.

Materials and Methods

Animals

Rax-CreERT2 mice generated in the laboratory (Pak et al., 2014) (JAX#025521) were bred with LepRlox/lox mice (Cohen et al., 2001) (JAX #008327) to generate tanycyte-specific LepR-KO mice. Rax-CreERT2;Ai9 (R26-CAG-lsl-tdTom, JAX #007909) and Rax-CreERT2;CAG-Sun1/sfGFP (Mo et al., 2015) (JAX #021039) were bred in the laboratory. To induce Cre recombination, tamoxifen was administered by either i.p. injection (1 mg, Sigma-Aldrich #H6278) at P28 for 3 consecutive days for fluorescent reporter expression, or by feeding commercial tamoxifen-containing diet (EnvigoTeklad diets #TD.130856) for 3 weeks to delete LepR from tanycytes. Rax-EGFP BAC transgenic line (MMRRC #030564-UCD) was originally generated by the Gene Expression Nervous System Atlas Brain Atlas (GENSAT) Project (Gong et al., 2003). 7 weeks old C57BL/6 male mice were purchased from the Charles River Laboratories and used for scRNA-Seq analysis. All mice were housed in a climate-controlled pathogen free facility on a 14 h-10 h light/dark cycle (07:00 lights on – 19:00 lights off). All experimental procedures were pre-approved by the Institutional Animal Care and Use Committee (IACUC) of the Johns Hopkins University School of Medicine.

Cell Dissociation and FACS Analysis

Rax-CreERT2;CAG-Sun1/sfGFP, Rax-CreERT2;LepRlox/lox;CAG-lsl-tdTom, Rax-CreERT2;CAG-Sun1/sfGFP and Rax-EGFP BAC transgenic mice, together with littermate controls, were used to isolate tanycytes using FACS. Briefly, tanycytes and nearby tissue regions were first micro-dissected from the adult brain using a chilled stainless steel brain matrix. Cells were dissociated using Papain Dissociation System (#LK003150, Worthington, United States) following manufacturer’s instructions. Dissociated cells were resuspended in ice-cold PBS and flow-sorted into RLT lysis buffer (AllPrep DNA/RNA micro Kit) using Sony SH800S Cell Sorter. Samples were stored at -80°C until RNA extraction.

RNA Extraction and RT-qPCR

RNA was extracted from both GFP-positive and GFP-negative cell fractions using AllPrep DNA/RNA micro Kit (#80284, Qiagen). For RT-qPCR, RNA samples were first reverse transcribed into cDNA using random primers and Superscript IV reverse transcriptase (#18091050, ThermoFisher) according to the manufacturer’s instructions. The qPCR assays were performed on the cDNA using GoTaq Green Master Mix (#M7122, Promega) using a StepOnePlus Real-time instrument (ThermoFisher). Intron-spanning primers were designed to specifically quantify targeted mRNA transcripts. Glyceraldehyde 3-phosphate dehydrogenase (Gapdh) expression was used as the endogenous control. LepR primers were designed to detect all transcript variants, including against the long form (LepRb),which is known to induce STAT3-mediated signaling, and the short forms (LepRa or LepRc), which were implicated in brain uptake of leptin. The following primers were used: LepR, Forward primer: GTGTCAGAAATTCTATGTGGTTTTG Reverse primer: TGGATATGCCAGGTTAAGTGC; Crym, Forward primer: GGCAACAGAGCCCATTTTAT Reverse primer: GTCATCCAGTTCTCGCCAGT; Gapdh, Forward primer: GACGTGCCGCCTGGAGAAAC Reverse primer: AGCCCAAGATGCCCTTCAGT. PCR specificity was monitored by determining the product melting temperature and by checking for the presence of a single DNA band on agarose gel analysis of the qRT-PCR products.

Genomic Deletion Confirmation in the LepR Knockout Mice

Genomic DNA was purified together with total RNA from the FACS-isolated tanycytes using AllPrep DNA/RNA Micro Kit (#80284, Qiagen). PCR analysis was performed using primers (Primer 1 and Primer 2) which can amplify a 740 bp PCR product from the deleted allele but, in the intact allele, the distance is too far to amplify as described in Figure 3A. Gapdh was used as a loading control. The primer sequences were as follows: Primer 1, TCGTCATGCATTCCTTTCAG; Primer 2, GGAGGGGAGGTCCCATTTAT; Gapdh, Forward primer: GACGTGCCGCCTGGAGAAAC Reverse primer: AGCCCAAGATGCCCTTCAGT. The 740 bp PCR product was gel extracted and used for quality control analysis using Fragment Analyzer (Advanced Analytical Technologies) followed by Sanger sequencing analysis.

Bulk RNA-Sequencing of Flow-Sorted Samples and Bioinformatic Analysis

Flow-sorted RNA samples from Rax-EGFP BAC transgenic mice were sent to the Deep Sequencing and Microarray Core (Johns Hopkins University) for library preparation and sequencing. Briefly, polyadenylated RNA was purified from the total RNA samples using Oligo dT conjugated magnetic beads and prepared for single-end sequencing according to the Illumina TruSeq RNA Sample Preparation Kit v2 (# RS-122-2001, Illumina). The libraries were sequenced for paired-end 75 cycles using the TruSeq SBS kit on the NextSeq 500 system. Filtered sequencing reads were mapped to the mouse reference genome (mm10) using TopHat (Trapnell et al., 2009). FPKM value for each gene was estimated using Cufflink (Trapnell et al., 2012).

Tissue Processing, Immunohistochemistry and RNAscope Analysis

Mice were anesthetized with i.p injection of Tribromoethanol/Avertin and perfused transcardially with 1 × PBS followed by 2% PFA in 1 × PBS. Brains were dissected and post-fixed in 2% PFA for overnight at 4°C. After washing, brains were incubated in 30% sucrose until brains sunk, then frozen in O.C.T. embedding compound. Brains were coronally sectioned at 25 μm thickness and stored in antifreeze solution at -20°C.

For immunohistochemistry, brain sections were post-fixed, if needed, and subjected to antigen retrieval treatment for pSTAT3 staining. Briefly, sections were sequentially incubated with 0.5% NaOH + 0.5% H2O2 for 20 min, 0.3% glycine for 10 min, and 0.03% SDS for 10 min, and blocked in 4% sheep serum/ 1% BSA/ 0.4% Triton X-100 in PBS for 1 hr at room temperature. Antibodies used were as follows : rabbit anti- pSTAT3 (1:1000, #9145, Cell Signaling Technology), mouse anti-HuC/D (1:200, #A-21271 Invitrogen), donkey anti-rabbit Alexa Fluor® 647 (1:500, #711-605-152, Jackson ImmunoResearch), goat anti-mouse IgG, Fcγ subclass 2b specific Alexa Fluor® 488 (1:500, #115-545-207, Jackson ImmunoResearch).

Sections were counterstained with DAPI and coverslipped using Vectashield antifade mounting medium (# H-1200, Vector Laboratories). All images were captured on a Zeiss LSM 700 Confocal at the Microscope Facility (Johns Hopkins University School of Medicine). All cell counts were performed blindly and manually on five or six sections per brain corresponding to -1.55, -1.67, -1.79, -1.91, -2.03, and -2.15 mm from Bregma. All pSTAT3 and HuC/D-double positive cell numbers counted and were normalized by the size (mm) of each hypothalamic nucleus measured using ImageJ. All values are expressed as means ± S.E.M. Comparison was analyzed by Student’s two-tailed t-test, and P < 0.05 was considered statistically significant.

RNAscope was performed on 16 μm fixed (4% PFA in PBS) frozen adult sections. Sections were treated with 30% hydrogen peroxide for 10 min and then boiled (98–102°C) in 1X RNAscope target retrieval reagent for 15 min. Sections were next treated with RNAscope protease III at 40°C for 30 min. After protease incubation, sections were hybridized with LepR and Rax probes for 2 h at 40°C. TSA Plus Cyanine 5 and fluorescein fluorophores were used to detect the hybridization signal. Sections were then counterstained with DAPI. Postnatal sections were not treated with retrieval reagent to preserve tissue morphology and were instead incubated in RNAscope Protease Plus at 40°C for 30 min.

Leptin Injection

Intracerebroventricular administration of leptin was performed using cannulas (C315GS-5/SPC, 2.5 mm length of guide, Plastics One, Inc.) implanted into the lateral ventricle (y: – 0.3 mm, X: – 1 mm, Z: 2.5 mm) of anesthetized mice. Mice were given 1 week of recovery time following canulation and at 10 am, 2 μl of either aCSF (Tocris Bioscience #3525) or Leptin (0.5 μg/mice, Peprotech #450-31) was injected at 1 μl/min. Mice were returned to their to original cages for 1 h, following which they were processed for act-Seq. For pSTAT3 analysis, mice were anesthetized 30 min after i.c.v. injection or 5 and 45 min after i.p. injection (3 mg/kg BW), and transcardially perfused with 2% PFA in PBS.

Single-Cell RNA-Seq Library Generation and Analysis

Act-Seq (Wu et al., 2017) was performed based on a previously described method, with a slight modification. Brains were rapidly dissected and placed in cold 1x HBSS (Thermo Fisher Scientific, MA, United States) with Actinomycin D (3 μM, Sigma-Aldrich, MO, United States). 1 mm thick coronal slices (between Bregma –1.22 mm and -2.46 mm) were collected using adult mouse brain matrix (Kent Scientific, CT, United States). A juxtaventricular region that included portions of the dorsomedial hypothalamus, ventromedial hypothalamus, arcuate nucleus and the median eminence was then micro-dissected under a dissecting microscope. A total of 4 mice were used for each treatment group. Micro-dissected brain tissues were incubated in Hibernate-A media minus calcium (BrainBits LLC, IL, United States) with GlutaMAX (0.5 mM, Thermo Fisher Scientific), Pronase (50 units/ml, Millipore Sigma), and Actinomycin D (15 μM), and were dissociated into single cells at 22°C with frequent agitation with a fire-polished Pasteur pipette. Dissociated cells were filtered through 40 μM strainer and washed twice in Hibernate-A media with B-27 (2%, Thermo Fisher Scientific), GlutaMAX (0.5 mM), and Actinomycin D (3 μM). Cells were resuspended in this same media, with addition of RNase inhibitor (0.5 U/μl, Sigma-Aldrich).

Re-suspended cells were processed using the 10x Genomics Chromium Single Cell system (10x Genomics, CA, United States) using v2 chemistry per manufacturer’s instructions, and libraries were sequenced on Illumina NextSeq with ∼150 million reads per library. Sequencing results were processed through the Cell Ranger pipeline (10x Genomics) using default parameters. Both treatment groups (saline and leptin) were aggregated together for downstream analysis.

Seurat V2 (Butler et al., 2018) was used to perform downstream analysis following the standard pipeline, using cells with more than 500 genes and 1000 UMI counts. Clusters were annotated based on previous literature, and differential gene expression test was performed in each cluster, between treatment groups.

For analysis of scRNA-Seq data presented in Campbell et al. (2017) the gene expression matrix file was downloaded from the NCBI (accession number # GSE93374). Cells with >800 expressed genes and genes expressed in >50 cells were used for the downstream analysis using Seurat V2. The tanycyte cell population was then subsetted computationally, and grouped into fasting and control samples.

Results

LepR Expression Is Not Detected in Mature Tanycytes

We used four distinct and complementary methods to measure LepR mRNA levels in tanycytes. We first performed RNA in situ hybridization in adult hypothalamic brain tissue using RNAscope, a highly sensitive and specific RNA visualization method. We successfully detected robust Rax mRNA expression in tanycytes (Figure 1A) and used it as a marker to distinguish any LepR expression in tanycytes from other cell types, including neurons, astrocytes and endothelial cells. As expected, substantial LepR mRNA expression was observed in hypothalamic parenchyma, in cells whose positions correspond to neurons of the arcuate nucleus. However, LepR mRNA expression is essentially undetectable in all Rax-positive tanycytes (Figure 1A).

FIGURE 1
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Figure 1. LepR mRNA expression is not detected in tanycytes of adult mice fed ad libitum. (A) Representative images for smfISH analysis using Rax (red) and LepR (green) probes showing α (left) and β tanycytes (right). (B) RT-qPCR analysis for LepR transcript in Rax-expressing tanycytes that were isolated from Rax-CreERT2/lsl-Sun1-GFP mice. Crym is a tanycyte marker. Gapdh expression, used as a loading control, showed similar abundance in each sample. (C) Differential expression analysis between GFP-positive and GFP-negative population sorted from Rax-EGFP mice displaying examples of highly enriched in each fraction and LepR. (D) tSNE plots using previously reported data from 20,921 cells isolated from the ArcN-ME. Rax and Crym were strongly expressed in the tanycyte cluster, and LepR in the Syt1-positive neuronal cluster, particularly in Npy-positive neurons. Scale bar: 20 um (A).

We next tried to detect the LepR transcript in GFP-positive cells sorted by fluorescence-activated cell sorting (FACS) from Rax-CreERT2;CAG-lsl-Sun1-GFP mice (Mo et al., 2015). Tamoxifen injection induced Cre recombinase activation in Rax-expressing tanycytes, resulting in GFP expression restricted to the nuclear membrane. To confirm that GFP-positive sorted cells were indeed tanycytes, RT-qPCR analysis was performed on the tanycyte marker gene Crym (Campbell et al., 2017), and highly enriched Crym expression is observed in GFP-positive cells. LepR mRNA expression, however, is not detected in the GFP-positive fraction, but is readily detected in the GFP-negative, tanycyte-depleted fraction (Figure 1B).

Next, we investigated whether LepR mRNA could be detected in tanycytes in bulk RNA-Seq data. Hypothalamic tissues from Rax-EGFP mice (Gong et al., 2003) were used for FACS sorting, and separated into GFP-positive and GFP-negative populations. Differential gene expression analysis of RNA-Seq data show a strong enrichment for all tanycyte subtypes in the GFP-positive fraction, as confirmed by expression of tanycyte markers such as Rax (α + β), Crym (α + β1), Frzb (α2 + β), and Adm (β2) (Miranda-Angulo et al., 2014; Campbell et al., 2017; Chen et al., 2017), and negligible contamination is detected from parenchymal Npy-expressing neurons. Consistent with RNAscope and qPCR-RT data, LepR transcript is not detected in GFP-positive tanycytes, but only found in GFP-negative cells (Figure 1C).

We also analyzed a recently published single cell RNA-Seq dataset from 20,921 ArcN-ME dissociated cells (Campbell et al., 2017). Cells are clustered into distinct cell types. The data show that the tanycyte cluster was clearly separated from other cell types, as confirmed by Rax and Crym expression (Figure 1D). In agreement with our data, scRNA-Seq showed that LepR expression was detected other cell types, notably in Agrp/Npy-positive neurons, but not in the tanycyte cluster.

Fasting Does Not Induce LepR mRNA in Tanycytes

The previous experiments were performed in mice given ad libitum access to chow, and thus does not exclude that alternative dietary conditions might induce LepR expression in tanycytes. Fasting reduces circulating leptin levels, and increases LepR transcription in both Pomc- and Agrp-positive neurons (Baskin et al., 1998; Bennett et al., 1998; Mitchell et al., 2009). To determine whether this was also the case in tanycytes, we conducted smfISH on animals that had been fasted for 24 h. As previously reported, LepR expression is substantially increased cells in hypothalamic parenchyma under these conditions. However, fasting does not induce LepR expression in tanycytes (Figure 2A). Consistent with this result, scRNA-Seq data from both fasted and control mice shows that LepR expression was barely detected in the tanycyte cluster under either condition, as marked by tanycyte-enriched genes: Col23a1 and Slc16a2 (Chen et al., 2017; Figure 2C), while the cell number and level of expression is substantially increased in the neuronal cluster (Syt1-positive) following fasting, with greatest increases observed in Npy/Agrp-positive neurons (Figure 2D). Consistent with the previous report, increased Npy and Agrp expression was observed in this subset of neurons after fasting (Figure 2D; Korner et al., 2001). Taken together, the fact that we did not detect LepR expression in tanycytes using any of these techniques raises questions about the potential physiological relevance of leptin signaling in tanycytes.

FIGURE 2
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Figure 2. Leptin receptor mRNA expression is not detected in tanycytes of neonatal or fasted adult mice. (A) SmfISH analysis using Rax (red) and LepR (green) probes in ad lib and fasted animals. (a–f) are the higher magnification images of the boxed area in (A). (B) SmfISH analysis using Rax (red) and LepR (green) probes in P1 and P4 mice. Rax-expressing red fluorescence labeled region represents the tanycytic layer. (C) Violin plots of LepR and known tanycytic markers Col23a1 and Slc16a2 in tanycyte cluster comparing between ad lib and fasted conditions. (D) Violin plots of LepR and known neuronal marker genes in Npy-positive cluster. The upper panel shows β1 tanycytes and the lower panel shows β2 tanycytes. Scale bar: 50 um (A), 20 um (B), 20 um (a–f).

LepR mRNA Was Not Detected in Immature Tanycytes

Previous studies using radioactive in situ hybridization reported LepR expression in neonatal rats in the ventricular zone of the arcuate nucleus, with expression emerging only later in parenchymal neurons (Cottrell et al., 2009), although LepR expression at this early stage does not appear to be associated with the Leptin transport across the BBB (Pan et al., 2008b). To determine if the LepR is expressed in immature tanycytes in mice, we performed smfISH analysis at postnatal day (P) 1 and P4. At both P1 and P4, LepR expression is detected in parenchymal cells, presumably neurons, but is absent in the tanycytic layer, as marked by Rax expression (Figure 2B).

Leptin Signaling in Hypothalamic Parenchyma Is Maintained Following Tanycyte-Specific Deletion of LepR

These findings still do not formally exclude a physiological role for very low levels of LepR expression in tanycytes. To directly address this, we crossed Rax-CreERT2;CAG-lsl-tdTom with LepRlox/lox mice (Cohen et al., 2001) to generate Rax-CreERT2;LepRlox/lox;CAG-lsl-tdTom mice. Cre-dependent excision of the first coding exon of LepR in this mouse will lead to a null mutation that will disrupt function of all known LepR splicing variants. We previously observed tanycyte-specific Cre recombination using Rax-CreERT2;CAG-lsl-tdTom mice (Pak et al., 2014), and observe robust tdTomato expression in tanycytes following 3 weeks of administration of tamoxifen-infused chow (data not shown). We confirmed genomic deletion of exon1 by PCR in FACS-isolated tanycytes, using primers that selectively detect the recombined allele of LepR (Figure 3A). As expected, the PCR amplification was detected only in heterozygous and homozygous conditional LepR mutants, particularly in the Ai9-positive tanycytes (Figure 3B). The identity of this PCR product was confirmed by Sanger sequencing. Moreover, smfISH analysis does not detect LepR mRNA expression in the tanycytes from either the control or the LepR knockout mice (Figure 3C). Thus, we expect that all isoforms of LepR will be functionally removed in tanycytes using this knockout strategy (Figure 3A).

FIGURE 3
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Figure 3. Tanycyte-specific genetic ablation of LepR. (A) Schematic diagram showing mouse LepR isoforms and the knockout strategy used in this study. (B) PCR analysis showing the 740 bp DNA fragment amplified from the deleted allele. (C) SmfISH analysis using Rax (red) and LepR (green) probes in LepRlox/+;Rax-CreERT2 (HET) and LepRlox/lox;Rax-CreERT2 (KO). (a–c) and (d–f) are the higher magnification images of the boxed area in (A,B), respectively. Scale bar: 50 um (A,B), 20 um (a–f).

We next examined the effect of tanycyte-specific LepR deletion on hypothalamic leptin response. Phosphorylation of signal transducer and activator of transcription 3 (STAT3) was used as readout of leptin signaling. Contrary to the previous reports (Balland et al., 2014), we did not observe pSTAT3 staining in tanycytic layer at 5 min after i.p. leptin injection in both heterozygous Rax-CreERT2;LepRlox/+;CAG-lsl-tdTom and LepR-deficient Rax-CreERT2;LepRlox/lox;CAG-lsl-tdTom mice (Figure 4A). By 45 min following treatment, pSTAT3-positive cells are observed throughout the hypothalamic parenchyma, including in the ventromedial nucleus (VMH), dorsomedial nucleus (DMH), and lateral hypothalamus (LH), but no difference in the number of immunopositive cells or the intensity of pSTAT3 staining was observed between heterozygous control and mutant mice (Figure 4C).

FIGURE 4
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Figure 4. Leptin-induced STAT3 phosphorylation in the hypothalamus of control and LepR cKO mice. (A) Representative images of pSTAT3 immunohistochemistry 5 min (upper) and 45 min (lower) after i.p. leptin injection. (B) Representative images of pSTAT3 immunohistochemistry 30 min after i.c.v. aCSF (upper) and leptin (lower) injection. (C) Quantification of the pSTAT3 positive cells in the images shown in (A), n = 3–4. (D) Quantification of the pSTAT3 positive cells in the images shown in (C), n = 3–4. (E) Percentage of cases showing the tanycytic pSTAT3 in each indicated condition. DMH, dorsomedial nucleus; VMH, ventromedial nucleus; ArcN, arcuate nucleus; ME, median eminence. Scale bar: 200 um (A,C).

To investigate the effect of central leptin injection, either leptin or artificial cerebrospinal fluid (aCSF) was directly injected into the right lateral ventricle (LV) through an implanted cannula. 30 min following leptin, parenchymal neurons show the similar patterns of leptin-induced pSTAT3 staining, regardless of genotype (Figures 4B,D). In addition, considerable pSTAT3 signal is observed in the tanycytic layer, which is clearly distinct from ependymal cells (Figures 4B,E). This paradoxical leptin-induced STAT3 phosphorylation in tanycytes that lack functional LepR implies the presence of an indirect, leptin-regulated mechanism that controls this process.

Identification of Leptin-Regulated Genes in Ventrobasal Hypothalamus Using Act-Seq

This observation of leptin-dependent, but LepR-independent, induction of pSTAT3 in tanycytes suggests two possibilities. First, that leptin can act on tanycytes directly via yet-to-be identified receptor(s) or via an indirect pathway that induces phosphorylation of STAT3. As no LepR-independent mechanisms of leptin signaling have yet been described, this is far more likely to reflect the action of cytokine signaling triggered by LepR signaling in other cell types, particularly endothelial cells and neurons. More generally, the genes regulated in response to leptin signaling in hypothalamus are not well characterized (Schwartz et al., 1996; Jovanovic et al., 2010). We sought to apply the newly developed technique of act-Seq to profile hypothalamic cells following i.c.v. delivery of leptin. This approach combines scRNA-Seq with actinomycin D treatment, which blocks de novo transcription following cell dissociation, and captures a snapshot of stimulus-induced changes in gene expression (Wu et al., 2017).

We conducted act-Seq analysis on the mediobasal hypothalamus 1 h following a single i.c.v. infusion of either aCSF or leptin (Figure 5A). This interval was chosen to capture initial transcriptional changes induced following leptin treatment, soon after phosphorylation of STAT3 is detected. Using act-Seq, we can capture all main neuronal and non-neuronal populations in the brain (Figure 5A). Cells from aCSF- and leptin-treated samples aggregate together (Supplementary Figure S1A), indicating that leptin infusion itself did not substantially change cell type-specific gene expression profiles. Clusters were identified based on enriched expression of previously reported marker genes (Supplementary Figures S1B,C), as well as previous scRNA-Seq studies of ventrobasal hypothalamus (Campbell et al., 2017; Chen et al., 2017). Individual clusters were extracted and expression was compared between treatment groups. Multiple genes are significantly differentially expressed in each cell cluster (Figures 5B–D and Supplementary Table S1).

FIGURE 5
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Figure 5. Single-cell RNA sequencing analysis identifies differentially expressed genes in mediobasal hypothalamus following i.c.v. leptin infusion. (A) Schematic diagram describing the pipeline of generating act-Seq data (left) and 2D tSNE plot with annotated clusters (right). (B) Correlation plot showing log-normalized gene-expressions between aCSF (x-axis)- and leptin (y-axis)-infused samples in tanycytes (left) and ependymocytes (right). (C) Violin plots showing changes in gene expressions between aCSF- and leptin-infused samples in tanycytes (top left), neurons (top right), endothelial cells (bottom left), and ependymocytes (bottom right). (D) Bar graphs showing fold changes between two groups (positive fold change indicates an increased expression in leptin-infused group) in all 7 clusters.

Changes in gene expression are observed in all cell clusters following leptin infusion. The most noticeable change is the decreased expression of multiple Nfkb inhibitor family genes and chemokines in multiple cell clusters (Figure 5 and Supplementary Table S1). For example, the inhibitor of Nfkb signaling Nfkbia and a chemokine of the C-X-C subfamily Cxcl10 both show marked reductions in both tanycytes and ependymal cells (Figures 5B,D). The other differentially expressed genes substantially differ among cell types (Figure 5C and Supplementary Table S1). In tanycytes, leptin infusion significantly reduces expressions of the voltage-gated sodium channel Scn7a and the non-canonical Notch ligand Dlk1 (Figure 5C). Leptin infusion decreases the level of Agrp and Npy expression in neurons, along with the chemokine Cxcl12 (Figure 5C). Expression levels of Agrp and Npy are regulated by leptin in neurons (Korner et al., 2001; Morrison et al., 2005). Socs3 antagonizes pSTAT3-mediated transcriptional activation to attenuate leptin signaling (Howard et al., 2004; Mori et al., 2004; Morrison et al., 2005). Socs3 levels are significantly upregulated in endothelial cells (Figure 5D), but not detectably induced in other cell types. Endothelial cells show a sharp increase in expression of the leucine-rich alpha2 glycoprotein Lrg1, the iron-trafficking protein Lcn2, and the secretoglobin Scgb3a1 following central leptin infusion (Figure 5C).

Differential expression of immediate early genes is also detected in multiple clusters. The early growth response Egr1 expression was dramatically inhibited following leptin treatment in ependymal cells (Figure 5C). Expression of Jun family genes, Jund and Junb, was reduced in both tanycytes and ependymal cells (Figure 5D). We also found that expression of the nuclear receptors Nr4a1 and Nr4a3 decreased substantially (Figure 5C and Supplementary Table S1). Tanycytes showed increased expression of Clu and Rarres2 following leptin infusion, although this change was not detected in ependymal cells, where these genes are expressed at higher basal levels (Figure 5D). With scRNA-Seq, we are also able to detect leptin-induced changes in gene expression oligodendrocytes and astrocytes (Figures 5C,D and Supplementary Table S1).

Discussion

This study used multiple methods – qRT-PCR, smfISH, and both bulk and scRNA-Seq – to demonstrate that no detectable LepR expression is present in tanycytes. In addition, this absence, or very low level, of LepR expression in tanycytes is also seen in neonatal animals, and was not altered by fasting. Moreover, selective disruption of LepR in tanycytes does not affect levels of leptin-induced STAT3 phosphorylation in hypothalamic neurons, regardless of whether leptin was administered via an i.p. or i.c.v. route. Leptin-induced STAT3 phosphorylation was observed in tanycytes only following i.c.v. leptin delivery, suggesting that leptin may indirectly regulate tanycyte function. To better understand this process, we generated scRNA-Seq libraries from mice following i.c.v. leptin administration, and identify leptin-regulated genes, and possible mechanisms of crosstalk between tanycytes and other cell types, as discussed below.

Previous Reports of LepR Expression in Tanycytes

In this study, using multiple approaches, we fail to find evidence for expression of functional LepR in tanycytes. Our findings are in line with those reported recently by other groups. A study on LepR expression in non-neuronal brain cells using ObRb-Cre mice clearly demonstrated that the expression of fluorescent reporter was absent in the 3rd ventricular layer (DeFalco et al., 2001; Yuan et al., 2018). Consistent with this observation, several studies using the same mouse line failed to report LepR expression in this brain region (DeFalco et al., 2001; Scott et al., 2009; Djogo et al., 2016; Di Spiezio et al., 2018; Yuan et al., 2018). Likewise, similar results were found using a second LepR-Cre mouse reporter line (Leshan et al., 2006; Patterson et al., 2011).

The reasons for the discrepancy between our findings and previous studies reporting LepR expression in tanycytes remain unclear. It remains formally possible, although we believe unlikely, that very low levels of expression of LepR in tanycytes that escape Cre-dependent recombination may be sufficient to mediate wildtype levels of hypothalamic leptin signaling. Previous studies reporting an active role of LepR in leptin transport used qRT-PCR to measure LepR mRNA expression in tanycytes maintained in primary culture (Balland et al., 2014). Maintaining tanycytes ex vivo in this manner may have activated LepR transcription. A second study showed that LepR expression in the 3rd ventricle drops dramatically in the first postnatal week in rats with a sharp decrease in expression (Cottrell et al., 2009). We are unable to detect LepR expression in our study, even in neonatal mice (Figure 2B). It is possible that this may reflect a species-specific difference in gene expression between rats and mice. Although several other studies have reported leptin-triggered physiological responses in tanycytes and other cells of the hypothalamic ventricular layer (Hubschle et al., 2001; Frontini et al., 2008; Gil et al., 2013), we conclude that tanycytes and ependymal cells respond to the i.c.v.-infused leptin independent of LepR, and that these two cell types do not directly transport leptin into brain and thereby regulate LepR activation in hypothalamic neurons.

Indirect Leptin-Dependent Regulation of Gene Expression in Tanycytes and Ependymal Cells

Any actions of leptin in tanycytes can be either direct, through LepR-dependent signaling by leptin, or indirect, through signals released from other leptin-responsive cells. Our act-Seq data provides insights into the possible mechanisms by which leptin regulates tanycyte and ependymal cell function. Lrp2 (low-density lipoprotein receptor-related protein-2, known as Megalin) has been known to bind leptin although it is also a potential receptor for multiple other secreted ligands, including clusterin (Clu) (Hama et al., 2004; Dietrich et al., 2008; Gil et al., 2013). ScRNA-Seq analysis shows that Lrp2 is exclusively expressed by ependymal cells. Interestingly, Clu expression was significantly increased in both endothelial cells and tanycytes by central leptin infusion. Moreover, two recent studies show that Il6r and Cntfr expression are expressed in tanycytes, and activation of both receptors is sufficient to induce pSTAT3 in tanycytes (Severi et al., 2015; Anesten et al., 2017). However, it is not clear if either IL6 or CNTF release is modulated by leptin, or what the cellular origin of these ligands might be. Notably, this also indicates that observing leptin-dependent pSTAT3 staining in a given hypothalamic cell type does not necessarily indicate that LepR-dependent signaling has occurred in those cells.

It is notable that emerging evidence supports that leptin resistance is unlikely to result from impaired transport of leptin across the BBB (Harrison et al., 2018; Kleinert et al., 2018). Leptin is more likely to be transported into the brain through the LepR expressed in choroid plexus (CP), where it is very strongly expressed. Using high resolution imaging, these studies demonstrated that ependymal cells or α tanycytes do not directly take up leptin. However, the authors also observed an accumulation of fluorescent-labeled leptin in β2 tanycytes, consistent with a previous report (Balland et al., 2014). In this study, it is possible that leptin that is transported into the cerebral ventricles via the CP is trapped in the third ventricular floor through a LepR-independent mechanism. More importantly, the study did not show any correlation between this accumulation of leptin and the onset of leptin resistance.

LepR-Independent pSTAT3 Signaling and Anti-inflammatory Effect of Leptin in Tanycytes

Previous studies reported that STAT3 phosphorylation induced by i.p leptin occurred more rapidly in tanycytes than in neurons (Balland et al., 2014). However, we were unable to reproduce this finding using the same methodology (Figure 4A). Instead, we observed strong activation of pSTAT3 simultaneously in all tanycyte subtypes only after i.c.v,. but not after i.p, leptin injection (Figure 4B). Leptin-induced pSTAT3 immunostaining has been described following i.c.v. injection in tanycytes in rats, where transient staining is observed beginning at 15 min following injection (Hubschle et al., 2001). However, the functional significance of this i.c.v leptin-induced pSTAT3 in tanycytes remains unknown, as is the identity of the ligand that induces it.

Tanycytes have long basal processes that extend into the hypothalamic parenchyma, which make this cell type both distinct from ependymal cells and well positioned to communicate with a large and diverse population of hypothalamic cell types. Ultrastructural studies have shown that tanycyte processes are found in close proximity with microvessels (Bleier, 1971; Peruzzo et al., 2004; Rodriguez et al., 2005; Miyata, 2015). Because of this unique structure and localization, tanycytes are likely to allow the vascular structure of this particular region of the brain to be more accessible and dynamic under certain physiological conditions. Classically, inflammatory cytokines have been implicated in endothelial cell junctional disruption and vascular permeability, mostly in cancer research and recently in metabolic disease models (Graupera and Claret, 2018). Endothelial barrier integrity is also regulated by adhesion molecules (Vandenbroucke et al., 2008; Sukriti et al., 2014). Interestingly, our scRNA-Seq data showed a global reduction in expression of inflammatory factors and a number of junctional markers following i.c.v. leptin injection. We also observed a leptin-dependent down-regulation of activity-regulated immediate-early genes (IEG) – such as Fos, Jun and Egr1 – in both ependymal cells and tanycytes, as well as endothelial cells and mediobasal hypothalamic neurons, which express LepR and are directly leptin-responsive (Elmquist et al., 1998; Mutze et al., 2006). It is unclear whether these reductions in inflammatory gene and IEG expression are functionally linked (Supplementary Table S1).

Tanycytes also exhibit a leptin-induced decrease in Vegfa expression, which is a growth factor inducing angiogenesis or permeabilization of blood vessel during inflammation (Croll et al., 2004; Kumar et al., 2009; Argaw et al., 2012; Shaik-Dasthagirisaheb et al., 2013). In line with our findings, Vegfa gene expression has been shown to increase in tanycytes during fasting, resulting in vascular remodeling in hypothalamic parenchyma (Langlet et al., 2013a). Tanycytic Vegfa promoted endothelial cell permeability in the ME, while increasing the expression of tanycytic tight junction proteins. However, since fasting has been linked with anti-inflammatory effects in the brain (Lavin et al., 2011), the observed reduction in Vegfa expression does not seem to correlate with inflammatory status. In our study, despite reduced Vegfa expression in tanycytes, leptin eventually led to loosening of the BBB by clear induction of the cytokine-like molecules, such as Lcn2 and Lrg1, in endothelial cells (Lee et al., 2011; Wang et al., 2013; Jin et al., 2014). Future studies are thus warranted to find the signaling molecules that mediate communication between tanycytic processes and parenchymal microvessels. To assist with these studies, we provide a list of related genes showing significant differential expression in response to i.c.v. leptin injection (Supplementary Table S1).

Data Availability

The datasets generated for this study can be found in GEO, GSE126707.

Author Contributions

SY and SB conceived the study, designed the experiments, and wrote the manuscript, with input from all co-authors. SY, DC, DK, and TH conducted the experiments. DK and TH analyzed RNA-Seq data.

Funding

This work was supported by grant DK108230 to SB and a Maryland Stem Cell Postdoctoral Research Fellowship to SY. Bulk and scRNA-Seq data was uploaded to NCBI Gene Expression Omnibus (GEO) with the accession number GSE126707.

Conflict of Interest Statement

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.

Acknowledgments

We thank W. Yap for comments on the manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnins.2019.00240/full#supplementary-material

FIGURE S1 | Act-Seq analysis of leptin and saline-treated ventrobasal hypothalamus. (A) 2D tSNE plot showing distribution of two treatment groups. (B) Heatmap showing highly expressed genes in all 7 cell populations in both treatment groups. (C) 2D tSNE plots showing annotated clusters in different colors (left) and enriched gene expressions between clusters (right).

TABLE S1 | Genes differentially regulated in each mediobasal hypothalamic cell cluster following leptin treatment. All genes that showed differential expression between saline and leptin-treated samples are shown by cell type. The log2 fold-change is listed for leptin relative to saline-treated samples, along with the fraction of cells in the cluster showing expression of the gene in question in saline and leptin-treated samples, and both the raw and adjusted p-value for the comparison (calculated via Wilcoxon t-test).

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Keywords: metabolism and obesity, leptin, hypothalamus, tanycyte, radial glia, single cell RNA sequencing

Citation: Yoo S, Cha D, Kim DW, Hoang TV and Blackshaw S (2019) Tanycyte-Independent Control of Hypothalamic Leptin Signaling. Front. Neurosci. 13:240. doi: 10.3389/fnins.2019.00240

Received: 23 January 2019; Accepted: 01 March 2019;
Published: 19 March 2019.

Edited by:

María A. García, Universidad de Concepción, Chile

Reviewed by:

Csaba Fekete, Institute of Experimental Medicine (MTA), Hungary
Qingchun Tong, The University of Texas Health Science Center at Houston (UTHealth), United States

Copyright © 2019 Yoo, Cha, Kim, Hoang and Blackshaw. 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: Seth Blackshaw, sblack@jhmi.edu

These authors have contributed equally to this work