Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity.

paper Cited Public

Authors: Paul, Anirban; Crow, Megan; Raudales, Ricardo; He, Miao; Gillis, Jesse; Huang, Z Josh
Year: 2017
Journal: Cell
PMID: 28942923
DOI: 10.1016/j.cell.2017.08.032
PMCID: PMC5772785

Figure 1

Transcriptomic analysis of GABAergic PCPs(A) Schematic of 6 PCPs with characteristic innervation patterns.(B) Molecular markers parsing cortical GABA neurons into 3 non-overlapping populations and 6 PCPs.(C) Experimental workflow.(D) Bioinformatics pipeline (left) and DE genes across PCPs (right).(E) Validation of known PCP markers; uTPM: unique transcripts per million.(F) Novel PCP markers.(G) Pthlh mRNA (grey arrowheads) co-localizes with RFP-labeled CHCs (yellow arrowheads) shown by FISH (left). Serial 3D reconstruction shows >95% RFP cells are Pthlh+ (right).(H) Cck+ CHCs labeled in Nkx2.1-Flp;CCK-Cre;Ai65 cortex. Red: RFP; blue: DAPI; arrow: CHC; arrowhead: CHC axon boutons.Also see Figure S1, S2, Table S1 and Methods.

LLM interpretation

This multi-panel figure presents a transcriptomic analysis of GABAergic pericortical projection neurons (PCPs). It includes schematics of innervation patterns (A), molecular marker classifications (B), and the experimental and bioinformatics workflows used for gene expression analysis (C, D). Quantitative data is shown via heatmaps of differentially expressed genes (D) and uTPM bar plots validating known (E) and novel (F) PCP markers across six distinct populations. Finally, FISH images and 3D reconstructions (G) and fluorescence microscopy (H) provide spatial validation of specific markers like *Pthlh* and *Cck* in the cortex.

Figure 2

Gene families and categories that distinguish PCPs(A) MetaNeighbor schematic. scRNAseq values for gene sets are used to construct cell networks such that cells similar in gene expression space are close neighbors (connected by lines). PCP identity labels (colors) are then withheld and its identity inferred based on connectivity to immediate neighbors. The probability of being identified as the correct PCP is reported as AUROC score (0.5 is at chance).(B) Left: AUROC value distribution of ~3800 GO terms. Red: AUROC>0.8. Right: GO-term probability density by keyword; “synaptic” and “cell-adhesion” are skewed with AUROC>0.8.(C) AUROC distribution of 442 HGNC gene families. ~40 families (red bars) in 6 categories (pie chart) are highly predictive of PCP identities (AUROC≥0.8).(D) Schematic showing that high-performance gene families (except TFs) encode proteins that primarily localize along cell and synaptic membrane.(E) High-performance gene families constitute 5 layers of functional categories that organize synaptic connectivity and input-output signaling.(F) MetaNeighbor analysis of two independent scRNAseq datasets yields similar rank order of gene families.Also see Tables S2, S3, S4, S5 & S7; gene name abbreviations in Methods.

LLM interpretation

This figure presents a MetaNeighbor analysis to identify gene families and GO terms that distinguish Perisomatic-targeting Cell Types (PCPs). It includes a schematic of the network-based classification workflow (A), histograms and density plots showing AUROC distributions for GO terms (B) and HGNC gene families (C), and diagrams illustrating the membrane localization (D) and functional layering (E) of high-performance gene families. Additionally, scatter plots (F) demonstrate the consistency of gene family rank orders across two independent scRNA-seq datasets.

Figure 3

Differential expression of cell adhesion molecules and carbohydrate modifying enzymes among PCPs(A) A single GABAergic neuron receives multiple sources of glutamatergic, GABAergic and modulatory (Mod) inputs and innervates large sets of pyramidal neurons (PyN) and interneurons (IN). Blue shading: extracellular matrix.(B) Multiple families of CAMs and glycoproteins provide extracellular coating, cell surface and synaptic labels.(C) ~200 different CAM genes are expressed in each PCP estimated using sliding expression values or 10% of maximum expression value as thresholds.(D) Major ligand-receptor cell adhesion systems and their roles in synaptic connectivity; all are highly discriminative of PCPs. “+” denotes the degree of involvement in the listed function.(E) Differential expression (DE) of 136 CAM genes across 6 PCPs.(F) DE of 8 cell adhesion systems and 2 carbohydrate modifying enzymes families among PCPs.Also see Figure S3 and Table S6; gene name abbreviations in Methods.

LLM interpretation

This figure consists of a multi-panel layout illustrating the expression and function of cell adhesion molecules (CAMs) in perisomatic-targeting cells (PCPs). It includes a schematic of neuronal connectivity and synaptic CAMs (A-B), a scatter plot showing the number of expressed CAMs across six PCP types (C), and a summary table of CAM families and their functional roles (D). Panels E and F utilize heatmaps to display the differential expression of 136 CAM genes and specific enzyme families across the six identified PCP groups.

Figure 4

Differential expression of transmitter and modulatory receptors among PCPs(A) Schematic of transmitter and modulatory receptors on a generic GABAergic neuron.(B) Schematic of glutamate receptor core subunits and auxiliary proteins that form native receptors.(C) DE of AMPAR core subunits and auxiliary proteins across PCPs; SST;CR cells express the greatest diversity of AMPARs.(D) Top: SST;CR cells show highest Gria1,3,4 (GluA1,A3A4)/Gria2 (GluA2) ratio among PCPs. Bottom: Most GABAergic neurons have more Grin2b (GluN2B) than Grin2a (GluN2A) receptors; the reverse is true in SST neurons.(E) AMPAR core and auxiliary subunits shows striking differences among PCPs.(F) DE of NMDAR subunits; glycine-activated Grin3a (GluN3A) is highly expressed in SST;CR cells.(G) Top: Schematic of GABAAR and ligand binding sites. Bottom: DE of α, β and γ subunits within a PCP; PVBC and SST/CR cells have the most and least diversity, respectively.(H) GABAAR subunit level differences among PCPs. PVBCs have the highest levels of α1, α4, α5 and also the inhibitory postsynaptic scaffolding protein Gphn (Gephrin).(I) Schematic comparison of neuromodulatory receptors among PVBC, CCKC and LPCs.(J) DE of neuromodulatory receptors among PCPs; LPCs and CCKC shows the highest diversity.(K) CGE-derived interneurons express more neuromodulatory receptors types than MGE-derived interneurons.(L) Select neuromodulatory receptors specific to or enriched in LPCs.(M) DE of orphan GPCRs among PCPs shown as heatmap (left) and boxplots (right).All boxplots y-axis in uTPM. Also see Figure S4.

LLM interpretation

This figure consists of multiple panels (A–M) combining schematics and gene expression data (uTPM) to compare transmitter and modulatory receptors across different parvalbumin-expressing (PCP) GABAergic neurons. Panels C, D, F, H, J, and M utilize boxplots and heatmaps to show differential expression of AMPA, NMDA, GABA, and neuromodulatory receptor subunits, as well as orphan GPCRs, across cell types such as PV, SST;CR, and LPCs. Schematics in panels A, B, G, and I illustrate the structural organization and binding sites of these receptors.

Figure 5

Differential expression of regulatory proteins in 2nd messenger pathways customizes intracellular signaling in PCPs(A) A schematic showing that Ca, cAMP, cGMP, Ras and Rho signaling pathways are differentially configured among PCPs. While the core skeletons of transduction machineries, kinase cascades and effectors are common among PCPs (grey, low AUROC scores), a small set of regulatory proteins (red) are differentially expressed with high AUROC values.(B) A GPCR signaling module illustrating that while multiple components (grey) are common among PCPs, different members of key regulatory proteins such as RGS, AC, PDE and AKAPs are differentially expressed.(C) Different combinations of RGS, AC and PDE members are enriched in individual PCPs.(D) DE of several classes of signaling proteins with high AUROC scores.(E) Predicted NO-cGMP signaling in SST;NOS1 and CHC cells. The entire pathway of NO synthesis and cGMP production (guanylyl cyclase), degradation (PDE), kinase signaling (PKG) and putative phosphorylation targets are coherently and expressed or enriched in SST;NOS1 and CHC cells.(F) DE of key components of NO-cGMP signaling (depicted in 5E) among PCPs; note ON/OFF patterns or dramatic level differences.All boxplots y-axis in uTPM. Also see Figure S5.

LLM interpretation

This figure consists of several panels analyzing the differential expression of regulatory proteins in second messenger pathways across different cell types (PCPs). Panels A, B, and E provide schematic diagrams of signaling pathways (GPCR and NO-cGMP), highlighting common components in grey and differentially expressed regulatory proteins in red. Panel C uses boxplots to show the expression levels (uTPM) of specific RGS, AC, and PDE members across various cell groups. Panel D presents heatmaps of Z-scores for multiple classes of signaling proteins (e.g., RGS, RAS, Rho-GEF), and Panel F uses boxplots to compare the expression of NO-cGMP signaling components among PCPs.

Figure 6

Differential expression of neuropeptides and vesicle release machinery shape outputs and release styles in PCPs(A) Schematic of vesicular release machinery for synaptic vesicle (neurotransmitters), dense core vesicle (neuropeptides) and large dense core vesicle (protein/hormones) with putative Syt members.(B) Top: Each PCP is estimated to express 20–30 peptides based on either a sliding threshold or dynamic threshold (10% of max expression value). Bottom: DE of endogenous ligands that constitute a neuropeptide code for PCPs.(C) Fraction of individual cells expressing the most common neuropeptides among PCPs. Dot size represents fraction (see key).(D) ON/OFF expression (uTPM) of specific neuropeptides/endogenous ligands, the gene family that best distinguishes PCPs (AUROC=0.96).(E) Schematic showing that Zn may be co-released with GABA from SST;CR terminals. While GABA acts on GABAARs, Zn may act on nearby non-synaptic NMDARs and influence glutamatergic transmission. Boxplot: high level specific expression of the Zn vesicular transporter Slc30a3 in SST;CR cells, which also contain the Zn uptake importers Slc39a1 and Slc39a7.(F) DE of vesicle release machinery components suggest different release styles in Ca2+ sensitivity and dynamics among PCPs.(G) Scatter plots of mRNA levels (uTPMs) of Snap25 vs Rab3a (left) and Snap25 vs Nsf (right).(H) Selective expression of Synaptotagmin and Complexin families in PCPs.(I) Scatterplot of Cplx1 Vs Cplx2 levels shows that fast-release synapses of PV and CHC are biased towards Cplx1 whereas slow-release synapses of CCKCs mainly utilize Cplx2.(J) Molecular correlates of fast-synchronous and slow-sustained vesicle release mechanisms in PVBC and CCKC with contrasting GABA release styles.Also see Figure S6.

LLM interpretation

This multi-panel figure analyzes the molecular composition of vesicle release machinery and neuropeptide expression across different Parvalbumin-expressing cell populations (PCPs). It combines schematics of vesicle types (A, E, J), heatmaps of ligand expression (B), dot plots of peptide frequency (C), and boxplots/scatter plots (D, F, G, I) comparing gene expression levels (uTPM) across cell types. Key findings include the differential expression of neuropeptides, zinc transporters (Slc30a3), and specific Synaptotagmin and Complexin families (Cplx1 vs. Cplx2) that correlate with fast-synchronous versus slow-sustained release styles.

Figure 7

Transcription factor profiles register the developmental history and contribute to maintenance of PCP phenotypes(A) Schematic developmental trajectory of cortical GABAergic neurons (PVBC as example), with TFs expressed at different stages.(B) Schematic of MGE and CGE transcription cascades that regulate the development of different clades of GABAergic neurons, including PCPs(C) Each PCP is estimated to express ~400 TFs.(D–G) Fraction of cells expressing a given TF (10% of max level); boxplots show expression levels of selected TFs. (D) TFs in subpallium progenitors and GABA neuron precursors maintain their expression in PCPs in adult.(E) TFs expressed in early postmitotic MGE- and CGE- derived neurons maintain expression within same clade of PCPs. Embryonic expression of Tox and Nfi family TFs were deduced from transcriptome analysis of PCPs and confirmed in (I).(F) Among MGE-derived PCPs, subsets of TFs are preferentially expressed in PV (PV>SST) or SST (PV<SST) groups; CGE groups are not compared and shown in light shade; selected boxplots are shown.(G) Within the PV, SST and VIP group, subsets of TFs are enriched in one or the other PCP; PCPs that are not compared are shown in light shade.(H) DE of TFs is largely exclusive to each PCP (left); examples of ON/OFF expression in individual PCPs (right).(I) Retrospective screen of Allen Developmental Mouse Brain in-situ database reveals that several TFs that express in MGE- or CGE- derived PCPs identified by transcriptome analysis indeed begin their expression in the corresponding embryonic germinal zone.(J) Schematic of the Ppargc1α (PGC1α) transcription regulatory network highly enhanced in PVBCs. Multiple PGC1α upstream TFs activators, cofactors and large fraction of (>75%) of downstream effectors are enriched over 1.5 folds in PVBCs (p<5.0^−07). Boxplots show different expression levels of select sets of PGC1α co-factors and targets and putative targets among PCPs.Also see also Figure S7.

LLM interpretation

This multi-panel figure uses schematics, dot plots, boxplots, heatmaps, and in-situ hybridization images to illustrate transcription factor (TF) profiles in cortical GABAergic neurons. Panels A-G utilize dot plots and boxplots to show the maintenance and enrichment of specific TFs across developmental stages and different cell clades (PV, SST, VIP). Panel H features a heatmap and boxplots showing differential TF expression exclusive to specific PCPs, while panel I provides microscopy images confirming embryonic TF expression in the MGE and CGE. Panel J presents a schematic of the PGC1$\alpha$ regulatory network alongside boxplots comparing the expression of its co-factors and targets across PCPs.

#	Section	Preview
60	STAR METHODS — Method details — Manual cell sorting	tubes prefilled with RNAseOUT (Invitrogen), ERCC spike-in RNAs in 1:400 K dilution, sample specific…
61	STAR METHODS — Method details — Linear RNA amplification	Single cell mRNAs were converted to cDNAs through polyA primers containing a sample barcode and…
62	STAR METHODS — Method details — Linear RNA amplification	Custom T7-polyA primers (N10B1 → N10B16, Integrated DNA Technologies, USA) were designed…
63	STAR METHODS — Method details — Linear RNA amplification	RNA was linearly amplified by T7 RNA polymerase using two rounds of in-vitro transcription…
64	STAR METHODS — Method details — Linear RNA amplification	synthesis at 16C with a T7-RA5 primer. The resulting double stranded cDNA underwent a final second…
65	STAR METHODS — Method details — cDNA library generation and sequencing	cDNA library was generated using Illumina TruSeq small RNA kit (Cat#RS-200-0012) and only…
66	STAR METHODS — Quantification and Statistical Analysis — Mapping and tag counting	As in our previous work (Crow et al, 2017), Bowtie (v 0.12.7) was used for sequence alignment of…
67	STAR METHODS — Quantification and Statistical Analysis — Mapping and tag counting	We obtained ~ 4.8×105 (median, Avg=6.9×105) mapped reads per cell, each containing ~1.0×105…
68	STAR METHODS — Quantification and Statistical Analysis — Mapping and tag counting	For any given gene the absolute unique counts were normalized to the total unique counts across all…
69	STAR METHODS — Quantification and Statistical Analysis — Mapping and tag counting	Compared with previous UMI-based ((Zeisel et al., 2015); detects 1.8–4.7K genes/cell) and non-UMI…
70	STAR METHODS — Quantification and Statistical Analysis — Fisher’s meta-analytic DE	To assess differential gene expression across PCPs, we took advantage of the replicate batches…
71	STAR METHODS — Quantification and Statistical Analysis — MetaNeighbor (AUROC calculation)	To measure PCP identity we use the MetaNeighbor method as described in our companion paper (Crow et.…
72	STAR METHODS — Quantification and Statistical Analysis — MetaNeighbor (AUROC calculation)	used to evaluate a given cell-type, the method generates a network based on the Spearman correlation…
73	STAR METHODS — Quantification and Statistical Analysis — Notched Boxplots	Notched boxplots shown in main figures 3–7 and supplement figures S1, S3–S5: box represent…
74	STAR METHODS — Data and software availability	A Github repository containing R scripts and parsed data can be found online (see Key Resources…
75	STAR METHODS — Ethics	Mice were bred and maintained according to animal husbandry protocols at Cold Spring Harbor…

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MeCP2 and non-CG DNA methylation stabilize the expression of long genes that distinguish closely related neuron types.	Moore JR et al.	—	2025	→
Molecular logic for cellular specializations that initiate the auditory parallel processing pathways.	Jing J et al.	—	2025	→
Parvalbumin interneurons: the dark and bright sides of a key playmaker of neural circuits and behavior.	Wirk E et al.	—	2025	→
Research on Peripheral Nerve Aging and Degeneration: Cellular Changes and Mechanism Exploration From the Perspective of Single-Cell Sequencing.	Zhuo Y et al.	—	2025	→
Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes.	Moakley DF et al.	—	2025	→
Sensory input, sex and function shape hypothalamic cell type development.	Kaplan HS et al.	—	2025	→
Synaptic Vesicle Glycoprotein 2A Knockout in Parvalbumin and Somatostatin Interneurons Drives Seizures in the Postnatal Mouse Brain.	Bartholome O et al.	—	2025	→
Three-dimensional co-culturing reveals human stem cell-derived somatostatin interneurons with subclass expression.	Bruzelius A et al.	—	2025	→
Transcriptomic and spatial organization of telencephalic GABAergic neurons.	van Velthoven CTJ et al.	—	2025	→
Type-I nNOS neurons orchestrate cortical neural activity and vasomotion.	Turner K et al.	—	2025	→
Understanding the molecular diversity of synapses.	van Oostrum M et al.	—	2025	→
Whole-cortex in situ sequencing reveals input-dependent area identity.	Chen X et al.	—	2025	→
A brief history of somatostatin interneuron taxonomy or: how many somatostatin subtypes are there, really?	Agmon A et al.	—	2024	→
A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex.	Huuki-Myers LA et al.	—	2024	→
Axo-axonic synaptic input drives homeostatic plasticity by tuning the axon initial segment structurally and functionally.	Zhao R et al.	—	2024	→
Calcium-permeable AMPA receptors govern PV neuron feature selectivity.	Hong I et al.	—	2024	→
CCK+ Interneurons Contribute to Thalamus-Evoked Feed-Forward Inhibition in the Prelimbic Prefrontal Cortex.	Kamalova A et al.	—	2024	→
Differential nanoscale organization of excitatory synapses onto excitatory vs. inhibitory neurons.	Dharmasri PA et al.	—	2024	→
Dynamic dysregulation of transcriptomic networks in brainstem autonomic nuclei during hypertension development in the female spontaneously hypertensive rat.	Moss A et al.	—	2024	→
Functional specialization of hippocampal somatostatin-expressing interneurons.	Chamberland S et al.	—	2024	→
Genetic approaches to elucidating cortical and hippocampal GABAergic interneuron diversity.	Machold R et al.	—	2024	→
Influence of Clinical and Genetic Factors on Propofol Dose Requirements: A Genome-wide Association Study.	Ahlström S et al.	—	2024	→
Light and dopamine impact two circadian neurons to promote morning wakefulness.	Le JQ et al.	—	2024	→
Long-range inhibitory neurons mediate cortical neurovascular coupling.	Ruff CF et al.	—	2024	→
Mouse hippocampal CA1 VIP interneurons detect novelty in the environment and support recognition memory.	Tamboli S et al.	—	2024	→
Organization of corticocortical and thalamocortical top-down inputs in the primary visual cortex.	Liu Y et al.	—	2024	→
Parvalbumin interneuron impairment causes synaptic transmission deficits and seizures in SCN8A developmental and epileptic encephalopathy.	Miralles RM et al.	—	2024	→
Preparation of Healthy Single Neuron or Astrocyte Suspension from Adult Mouse Brain for RNA-seq.	Hu NY et al.	—	2024	→
Specific and comprehensive genetic targeting reveals brain-wide distribution and synaptic input patterns of GABAergic axo-axonic interneurons.	Raudales R et al.	—	2024	→
Specific and Plastic: Chandelier Cell-to-Axon Initial Segment Connections in Shaping Functional Cortical Network.	Qi Y et al.	—	2024	→
The role of cell adhesion molecule IgSF9b at the inhibitory synapse and psychiatric disease.	Clarin JD et al.	—	2024	→
Transcriptomic Correlates of State Modulation in GABAergic Interneurons: A Cross-Species Analysis.	Keijser J et al.	—	2024	→
Unique transcriptomes of sensory and non-sensory neurons: insights from Splicing Regulatory States.	Ciampi L et al.	—	2024	→
Unveiling novel cell clusters and biomarkers in glioblastoma and its peritumoral microenvironment at the single-cell perspective.	Wang L et al.	—	2024	→
A CRE/DRE dual recombinase transgenic mouse reveals synaptic zinc-mediated thalamocortical neuromodulation.	Kouvaros S et al.	—	2023	→
A frontal transcallosal inhibition loop mediates interhemispheric balance in visuospatial processing.	Wang Y et al.	—	2023	→
A genetically encoded far-red fluorescent indicator for imaging synaptically released Zn<sup>2</sup>.	Wu T et al.	—	2023	→
A tool kit of highly selective and sensitive genetically encoded neuropeptide sensors.	Wang H et al.	—	2023	→
Axo-axonic cells in neuropsychiatric disorders: a systematic review.	Vivien J et al.	—	2023	→
Chemistry and Function of Glycosaminoglycans in the Nervous System.	Schwartz NB et al.	—	2023	→
Cortical interneuron specification and diversification in the era of big data.	Kessaris N et al.	—	2023	→
Cortical somatostatin interneuron subtypes form cell-type-specific circuits.	Wu SJ et al.	—	2023	→
Customization of the translational complex regulates mRNA-specific translation to control CNS regeneration.	Schaeffer J et al.	—	2023	→
DSCAM gene triplication causes excessive GABAergic synapses in the neocortex in Down syndrome mouse models.	Liu H et al.	—	2023	→
Excitatory GluN1/GluN3A glycine receptors (eGlyRs) in brain signaling.	Bossi S et al.	—	2023	→
Experience-dependent flexibility in a molecularly diverse central-to-peripheral auditory feedback system.	Frank MM et al.	—	2023	→
Human pallial MGE-type GABAergic interneuron cell therapy for chronic focal epilepsy.	Bershteyn M et al.	—	2023	→
Id2 GABAergic interneurons comprise a neglected fourth major group of cortical inhibitory cells.	Machold R et al.	—	2023	→
Improvement of sensory deficits in fragile X mice by increasing cortical interneuron activity after the critical period.	Kourdougli N et al.	—	2023	→
Molecular logic of synaptic diversity between Drosophila tonic and phasic motoneurons.	Jetti SK et al.	—	2023	→
Neurological Phenotypes in Mouse Models of Mitochondrial Disease and Relevance to Human Neuropathology.	Olkhova EA et al.	—	2023	→
Neuromodulatory control of complex adaptive dynamics in the brain.	Shine JM	—	2023	→
Pharmacological Signature and Target Specificity of Inhibitory Circuits Formed by Martinotti Cells in the Mouse Barrel Cortex.	Donato C et al.	—	2023	→
Proteomics-based synapse characterization: From proteins to circuits.	Marcassa G et al.	—	2023	→
Recent advances in understanding neuronal diversity and neural circuit complexity across different brain regions using single-cell sequencing.	Xing Y et al.	—	2023	→
Reclusive chandeliers: Functional isolation of dentate axo-axonic cells after experimental status epilepticus.	Proddutur A et al.	—	2023	→
Selective deletion of zinc transporter 3 in amacrine cells promotes retinal ganglion cell survival and optic nerve regeneration after injury.	Liu Z et al.	—	2023	→
Single-Nucleus Transcriptional Profiling of GAD2-Positive Neurons From Mouse Lateral Habenula Reveals Distinct Expression of Neurotransmission- and Depression-Related Genes.	Green MV et al.	—	2023	→
Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex.	Kim MH et al.	—	2023	→
Transcriptional diversity in specific synaptic gene sets discriminates cortical neuronal identity.	Roig Adam A et al.	—	2023	→
Aberrant maturation and connectivity of prefrontal cortex in schizophrenia-contribution of NMDA receptor development and hypofunction.	Gao WJ et al.	—	2022	→
Advancements in Genomic and Behavioral Neuroscience Analysis for the Study of Normal and Pathological Brain Function.	Baratta AM et al.	—	2022	→
Altered closed state inactivation gating in Kv4.2 channels results in developmental and epileptic encephalopathies in human patients.	Bavan S et al.	—	2022	→
A transcriptomic axis predicts state modulation of cortical interneurons.	Bugeon S et al.	—	2022	→
Cell-type specific transcriptomic signatures of neocortical circuit organization and their relevance to autism.	Moussa AJ et al.	—	2022	→
Cholinergic Modulation of Dendritic Signaling in Hippocampal GABAergic Inhibitory Interneurons.	Pancotti L et al.	—	2022	→
Complex regulation of Gephyrin splicing is a determinant of inhibitory postsynaptic diversity.	Dos Reis R et al.	—	2022	→
Control of Gα<sub>q</sub> signaling dynamics and GPCR cross-talk by GRKs.	Xiang G et al.	—	2022	→
Cortex-wide response mode of VIP-expressing inhibitory neurons by reward and punishment.	Szadai Z et al.	—	2022	→
Cortical control of chandelier cells in neural codes.	Jung K et al.	—	2022	→
Cortical VIP<sup>+</sup> Interneurons in the Upper and Deeper Layers Are Transcriptionally Distinct.	Wu J et al.	—	2022	→
Dense functional and molecular readout of a circuit hub in sensory cortex.	Condylis C et al.	—	2022	→
Effects of General Anesthetics on Synaptic Transmission and Plasticity.	Platholi J et al.	—	2022	→
Emerging strategies for the genetic dissection of gene functions, cell types, and neural circuits in the mammalian brain.	Gong L et al.	—	2022	→
Fluorescent transgenic mouse models for whole-brain imaging in health and disease.	Arias A et al.	—	2022	→
Gene regulation by gonadal hormone receptors underlies brain sex differences.	Gegenhuber B et al.	—	2022	→
GluN3A excitatory glycine receptors control adult cortical and amygdalar circuits.	Bossi S et al.	—	2022	→
GluN3A NMDA receptor subunits: more enigmatic than ever?	Crawley O et al.	—	2022	→
Identification of visual cortex cell types and species differences using single-cell RNA sequencing.	Wei JR et al.	—	2022	→
Insights into the Critical Role of Exosomes in the Brain; from Neuronal Activity to Therapeutic Effects.	Heidarzadeh M et al.	—	2022	→
Integrative cross-species analysis of GABAergic neuron cell types and their functions in Alzheimer's disease.	Wang S et al.	—	2022	→
Interrogating the function of GABA<sub>A</sub> receptors in the brain with optogenetic pharmacology.	Kramer RH et al.	—	2022	→
IQSEC3 Deletion Impairs Fear Memory Through Upregulation of Ribosomal S6K1 Signaling in the Hippocampus.	Kim D et al.	—	2022	→
Long-Range GABAergic Projections of Cortical Origin in Brain Function.	Urrutia-Piñones J et al.	—	2022	→
Machine learning sequence prioritization for cell type-specific enhancer design.	Lawler AJ et al.	—	2022	→
Molecular and cellular evolution of the primate dorsolateral prefrontal cortex.	Ma S et al.	—	2022	→
Molecular and electrophysiological features of GABAergic neurons in the dentate gyrus reveal limited homology with cortical interneurons.	Perrenoud Q et al.	—	2022	→
Molecular diversity and evolution of neuron types in the amniote brain.	Hain D et al.	—	2022	→
Neuromodulatory Mechanisms Underlying Contrast Gain Control in Mouse Auditory Cortex.	Cody PA et al.	—	2022	→
Reassessing synaptic adhesion pathways.	Lim D et al.	—	2022	→
Shisa7 phosphorylation regulates GABAergic transmission and neurodevelopmental behaviors.	Wu K et al.	—	2022	→
Single-cell RNA sequencing reveals distinct transcriptional features of the purinergic signaling in mouse trigeminal ganglion.	Jia S et al.	—	2022	→
Single nucleus multi-omics identifies human cortical cell regulatory genome diversity.	Luo C et al.	—	2022	→
Targeted proteoform mapping uncovers specific Neurexin-3 variants required for dendritic inhibition.	Hauser D et al.	—	2022	→
The development and evolution of inhibitory neurons in primate cerebrum.	Schmitz MT et al.	—	2022	→
The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types.	Gillespie TH et al.	—	2022	→
Transcriptomically-Guided Pharmacological Experiments in Neocortical and Hippocampal NPY-Positive GABAergic Interneurons.	Beerens S et al.	—	2022	→
Trans-synaptic mechanisms orchestrated by mammalian synaptic cell adhesion molecules.	Kim J et al.	—	2022	→
Visual-area-specific tonic modulation of GABA release by endocannabinoids sets the activity and coordination of neocortical principal neurons.	Koukouli F et al.	—	2022	→
What is a cell type and how to define it?	Zeng H	—	2022	→
A Role for Vasoactive Intestinal Peptide Interneurons in Neurodevelopmental Disorders.	Goff KM et al.	—	2021	→
A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex.	Yao Z et al.	—	2021	→
A transcriptomic taxonomy of <i>Drosophila</i> circadian neurons around the clock.	Ma D et al.	—	2021	→
Call for a more balanced approach to understanding orbital frontal cortex function.	Yalcinbas EA et al.	—	2021	→
Cell-type-specific recruitment of GABAergic interneurons in the primary somatosensory cortex by long-range inputs.	Naskar S et al.	—	2021	→
Cellular and Behavioral Characterization of <i>Pcdh19</i> Mutant Mice: subtle Molecular Changes, Increased Exploratory Behavior and an Impact of Social Environment.	Galindo-Riera N et al.	—	2021	→
Consistent cross-modal identification of cortical neurons with coupled autoencoders.	Gala R et al.	—	2021	→
Differential encoding in prefrontal cortex projection neuron classes across cognitive tasks.	Lui JH et al.	—	2021	→
Diversification of molecularly defined myenteric neuron classes revealed by single-cell RNA sequencing.	Morarach K et al.	—	2021	→
Dysregulation of PGC-1α-Dependent Transcriptional Programs in Neurological and Developmental Disorders: Therapeutic Challenges and Opportunities.	McMeekin LJ et al.	—	2021	→
Estrogen-related Receptor Alpha (ERRα) is Required for PGC-1α-dependent Gene Expression in the Mouse Brain.	McMeekin LJ et al.	—	2021	→
Evolving features of human cortical development and the emerging roles of non-coding RNAs in neural progenitor cell diversity and function.	Prodromidou K et al.	—	2021	→
From Cell Types to an Integrated Understanding of Brain Evolution: The Case of the Cerebral Cortex.	Tosches MA	—	2021	→
FXR1 regulation of parvalbumin interneurons in the prefrontal cortex is critical for schizophrenia-like behaviors.	Shen M et al.	—	2021	→
GABAergic Gene Regulatory Elements Used in Adeno-Associated Viral Vectors.	Duba-Kiss R et al.	—	2021	→
Gabaergic Interneurons in Early Brain Development: Conducting and Orchestrated by Cortical Network Activity.	Warm D et al.	—	2021	→
GABAergic neuronal IL-4R mediates T cell effect on memory.	Herz J et al.	—	2021	→
Hierarchy in sensory processing reflected by innervation balance on cortical interneurons.	Ma G et al.	—	2021	→
How many markers are needed to robustly determine a cell's type?	Fischer S et al.	—	2021	→
Hyperactive MEK1 Signaling in Cortical GABAergic Neurons Promotes Embryonic Parvalbumin Neuron Loss and Defects in Behavioral Inhibition.	Holter MC et al.	—	2021	→
IgSF11 homophilic adhesion proteins promote layer-specific synaptic assembly of the cortical interneuron subtype.	Hayano Y et al.	—	2021	→
Inhibitory regulation of calcium transients in prefrontal dendritic spines is compromised by a nonsense Shank3 mutation.	Ali F et al.	—	2021	→
Integrating barcoded neuroanatomy with spatial transcriptional profiling enables identification of gene correlates of projections.	Sun YC et al.	—	2021	→
Islet1 Precursors Contribute to Mature Interneuron Subtypes in Mouse Neocortex.	Siddiqi F et al.	—	2021	→
Kcns3 deficiency disrupts Parvalbumin neuron physiology in mouse prefrontal cortex: Implications for the pathophysiology of schizophrenia.	Miyamae T et al.	—	2021	→
Long-Term Enhancement of NMDA Receptor Function in Inhibitory Neurons Preferentially Modulates Potassium Channels and Cell Adhesion Molecules.	Xia D et al.	—	2021	→
Mechanisms Underlying Target Selectivity for Cell Types and Subcellular Domains in Developing Neocortical Circuits.	Gutman-Wei AY et al.	—	2021	→
Miro1-dependent mitochondrial dynamics in parvalbumin interneurons.	Kontou G et al.	—	2021	→
Molecular mechanisms of axo-axonic innervation.	Ango F et al.	—	2021	→
Molecular signature and target-specificity of inhibitory circuits formed by Martinotti cells in the mouse barrel cortex	Donato C et al.	—	2021	—
NECAB1 and NECAB2 are Prevalent Calcium-Binding Proteins of CB1/CCK-Positive GABAergic Interneurons.	Miczán V et al.	—	2021	→
Neuronal Circuits in Barrel Cortex for Whisker Sensory Perception.	Staiger JF et al.	—	2021	→
Neuronal Dystroglycan regulates postnatal development of CCK/cannabinoid receptor-1 interneurons.	Miller DS et al.	—	2021	→
Neuron-Oligodendrocyte Communication in Myelination of Cortical GABAergic Cells.	Mazuir E et al.	—	2021	→
NMDARs Drive the Expression of Neuropsychiatric Disorder Risk Genes Within GABAergic Interneuron Subtypes in the Juvenile Brain.	Mahadevan V et al.	—	2021	→
Oligodendrocyte Secreted Factors Shape Hippocampal GABAergic Neuron Transcriptome and Physiology.	Mazuir E et al.	—	2021	→
Postmitotic Prox1 Expression Controls the Final Specification of Cortical VIP Interneuron Subtypes.	Stachniak TJ et al.	—	2021	→
Prefrontal GABAergic Interneurons Gate Long-Range Afferents to Regulate Prefrontal Cortex-Associated Complex Behaviors.	Yang SS et al.	—	2021	→
Protocol for isolating young adult parvalbumin interneurons from the mouse brain for extraction of high-quality RNA.	Joseph DJ et al.	—	2021	→
Recruitment and inhibitory action of hippocampal axo-axonic cells during behavior.	Dudok B et al.	—	2021	→
Relevance of Cortical and Hippocampal Interneuron Functional Diversity to General Anesthetic Mechanisms: A Narrative Review.	Speigel IA et al.	—	2021	→
RNA-binding proteins balance brain function in health and disease.	Schieweck R et al.	—	2021	→
Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor.	Fischer S et al.	—	2021	→
Selective inhibition of gamma aminobutyric acid release from mouse hippocampal interneurone subtypes by the volatile anaesthetic isoflurane.	Speigel IA et al.	—	2021	→
Selective Overexpression of Collybistin in Mouse Hippocampal Pyramidal Cells Enhances GABAergic Neurotransmission and Protects against PTZ-Induced Seizures.	George S et al.	—	2021	→
Single-cell alternative polyadenylation analysis delineates GABAergic neuron types.	Yang Y et al.	—	2021	→
Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes.	Armand EJ et al.	—	2021	→
Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain.	Kupari J et al.	—	2021	→
Sodium channelopathies of skeletal muscle and brain.	Mantegazza M et al.	—	2021	→
Spatial, temporal and cell-type-specific expression profiles of genes encoding heparan sulfate biosynthesis enzymes and proteoglycan core proteins.	Moon S et al.	—	2021	→
Specificity in sociogenomics: Identifying causal relationships between genes and behavior.	Ruiz-Ortiz J et al.	—	2021	→
Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli.	Gothner T et al.	—	2021	→
Synaptic recognition molecules in development and disease.	Chowdhury D et al.	—	2021	→
Temporal Dynamics and Neuronal Specificity of Grin3a Expression in the Mouse Forebrain.	Murillo A et al.	—	2021	→
The Function and Regulation of Zinc in the Brain.	Krall RF et al.	—	2021	→
The ins and outs of inhibitory synaptic plasticity: Neuron types, molecular mechanisms and functional roles.	Capogna M et al.	—	2021	→
The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain.	Zhang H et al.	—	2021	→
Top-down control of conditioned overconsumption is mediated by insular cortex Nos1 neurons.	Stern SA et al.	—	2021	→
Total Number and Ratio of GABAergic Neuron Types in the Mouse Lateral and Basal Amygdala.	Vereczki VK et al.	—	2021	→
Transcriptional and morphological profiling of parvalbumin interneuron subpopulations in the mouse hippocampus.	Que L et al.	—	2021	→
Transcriptomic evidence for dense peptidergic networks within forebrains of four widely divergent tetrapods.	Smith SJ	—	2021	→
A community-based transcriptomics classification and nomenclature of neocortical cell types.	Yuste R et al.	—	2020	→
A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.	Moradi K et al.	—	2020	→
A Genetic Model of the Connectome.	Barabási DL et al.	—	2020	→
Agonist-induced functional analysis and cell sorting associated with single-cell transcriptomics characterizes cell subtypes in normal and pathological brain.	Castagnola S et al.	—	2020	→
AMPA receptor deletion in developing MGE-derived hippocampal interneurons causes a redistribution of excitatory synapses and attenuates postnatal network oscillatory activity.	Akgül G et al.	—	2020	→
An Activity-Mediated Transition in Transcription in Early Postnatal Neurons.	Stroud H et al.	—	2020	→
A Picture Worth a Thousand Molecules-Integrative Technologies for Mapping Subcellular Molecular Organization and Plasticity in Developing Circuits.	Minehart JA et al.	—	2020	→
A Role for PGC-1α in Transcription and Excitability of Neocortical and Hippocampal Excitatory Neurons.	McMeekin LJ et al.	—	2020	→
Complex IV subunit isoform COX6A2 protects fast-spiking interneurons from oxidative stress and supports their function.	Sanz-Morello B et al.	—	2020	→
Decoding the Transcriptional Response to Ischemic Stroke in Young and Aged Mouse Brain.	Androvic P et al.	—	2020	→
Differential Synaptic Dynamics and Circuit Connectivity of Hippocampal and Thalamic Inputs to the Prefrontal Cortex.	Canetta S et al.	—	2020	→
Disruption of Transient SERT Expression in Thalamic Glutamatergic Neurons Alters Trajectory of Postnatal Interneuron Development in the Mouse Cortex.	De Gregorio R et al.	—	2020	→
Diversity and function of corticopetal and corticofugal GABAergic projection neurons.	Melzer S et al.	—	2020	→
Emergence of non-canonical parvalbumin-containing interneurons in hippocampus of a murine model of type I lissencephaly.	Ekins TG et al.	—	2020	→
Genome-Wide Analysis of Differential Gene Expression and Splicing in Excitatory Neurons and Interneuron Subtypes.	Huntley MA et al.	—	2020	→
<i>Nf1</i> deletion results in depletion of the <i>Lhx6</i> transcription factor and a specific loss of parvalbumin<sup>+</sup> cortical interneurons.	Angara K et al.	—	2020	→
Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.	Gouwens NW et al.	—	2020	→
Interneuron Types as Attractors and Controllers.	Fishell G et al.	—	2020	→
Intrinsic electrophysiological properties predict variability in morphology and connectivity among striatal Parvalbumin-expressing Pthlh-cells.	Bengtsson Gonzales C et al.	—	2020	→
Ketamine disinhibits dendrites and enhances calcium signals in prefrontal dendritic spines.	Ali F et al.	—	2020	→
Macroscopic gradients of synaptic excitation and inhibition in the neocortex.	Wang XJ	—	2020	→
Molecular expression profiles of morphologically defined hippocampal neuron types: Empirical evidence and relational inferences.	White CM et al.	—	2020	→
Probabilistic cell typing enables fine mapping of closely related cell types in situ.	Qian X et al.	—	2020	→
Quantitative cellular-resolution map of the oxytocin receptor in postnatally developing mouse brains.	Newmaster KT et al.	—	2020	→
Regional transcriptome analysis of AMPA and GABA<sub>A</sub> receptor subunit expression generates E/I signatures of the human brain.	Shen K et al.	—	2020	→
Shedding Light on Chandelier Cell Development, Connectivity, and Contribution to Neural Disorders.	Gallo NB et al.	—	2020	→
Signatures of sex: Sex differences in gene expression in the vertebrate brain.	Gegenhuber B et al.	—	2020	→
Single-cell RNA-seq analysis revealed long-lasting adverse effects of tamoxifen on neurogenesis in prenatal and adult brains.	Lee CM et al.	—	2020	→
Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus.	Wen S et al.	—	2020	→
Synapse type-specific proteomic dissection identifies IgSF8 as a hippocampal CA3 microcircuit organizer.	Apóstolo N et al.	—	2020	→
Synaptic Mechanisms Underlying the Network State-Dependent Recruitment of VIP-Expressing Interneurons in the CA1 Hippocampus.	Luo X et al.	—	2020	→
Synaptic organisation and behaviour-dependent activity of mGluR8a-innervated GABAergic trilaminar cells projecting from the hippocampus to the subiculum.	Katona L et al.	—	2020	→
Synaptic Zinc Enhances Inhibition Mediated by Somatostatin, but not Parvalbumin, Cells in Mouse Auditory Cortex.	Kouvaros S et al.	—	2020	→
Uncovering the genetic blueprint of the <i>C. elegans</i> nervous system.	Kovács IA et al.	—	2020	→
Architects of neuronal wiring.	Falkner S et al.	—	2019	→
A regulatory variant of CHRM3 is associated with cannabis-induced hallucinations in European Americans.	Cheng Z et al.	—	2019	→
Cell Type-Specific Gene Expression of Alpha 5 Subunit-Containing Gamma-Aminobutyric Acid Subtype A Receptors in Human and Mouse Frontal Cortex.	Hu X et al.	—	2019	→
Classification of electrophysiological and morphological neuron types in the mouse visual cortex.	Gouwens NW et al.	—	2019	→
Complementary networks of cortical somatostatin interneurons enforce layer specific control.	Naka A et al.	—	2019	→
Conserved cell types with divergent features in human versus mouse cortex.	Hodge RD et al.	—	2019	→
Deciphering Brain Complexity Using Single-cell Sequencing.	Mu Q et al.	—	2019	→
Deep Sequencing of Somatosensory Neurons Reveals Molecular Determinants of Intrinsic Physiological Properties.	Zheng Y et al.	—	2019	→
Deep Survey of GABAergic Interneurons: Emerging Insights From Gene-Isoform Transcriptomics.	Que L et al.	—	2019	→
Differences in neurotropism and neurotoxicity among retrograde viral tracers.	Sun L et al.	—	2019	→
Distinct molecular programs regulate synapse specificity in cortical inhibitory circuits.	Favuzzi E et al.	—	2019	→
Emerging Roles of Synapse Organizers in the Regulation of Critical Periods.	Ribic A et al.	—	2019	→
Evolution of neuronal identity in the cerebral cortex.	Tosches MA et al.	—	2019	→
Evolution of neuronal types and families.	Arendt D et al.	—	2019	→
Excitation of Cortical nNOS/NK1R Neurons by Hypocretin 1 is Independent of Sleep Homeostasis.	Williams RH et al.	—	2019	→
Excitation of Diverse Classes of Cholecystokinin Interneurons in the Basal Amygdala Facilitates Fear Extinction.	Rovira-Esteban L et al.	—	2019	→
Expression of Transcripts Selective for GABA Neuron Subpopulations across the Cortical Visuospatial Working Memory Network in the Healthy State and Schizophrenia.	Tsubomoto M et al.	—	2019	→
From Hiring to Firing: Activation of Inhibitory Neurons and Their Recruitment in Behavior.	Swanson OK et al.	—	2019	→
Functional Access to Neuron Subclasses in Rodent and Primate Forebrain.	Mehta P et al.	—	2019	→
Genetic Single Neuron Anatomy Reveals Fine Granularity of Cortical Axo-Axonic Cells.	Wang X et al.	—	2019	→
Glutamate Receptors: Not Just for Excitation.	Villa KL et al.	—	2019	→
High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing.	Chen X et al.	—	2019	→
Input-Specific Synaptic Location and Function of the α5 GABA<sub>A</sub> Receptor Subunit in the Mouse CA1 Hippocampal Neurons.	Magnin E et al.	—	2019	→
In Vivo Single-Cell Genotyping of Mouse Cortical Neurons Transfected with CRISPR/Cas9.	Steinecke A et al.	—	2019	→
Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas.	Scala F et al.	—	2019	→
Mafb and c-Maf Have Prenatal Compensatory and Postnatal Antagonistic Roles in Cortical Interneuron Fate and Function.	Pai EL et al.	—	2019	→
Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain.	Sugino K et al.	—	2019	→
Molecular profiling of single neurons of known identity in two ganglia from the crab <i>Cancer borealis</i>.	Northcutt AJ et al.	—	2019	→
Morphological Cell Types Projecting from V1 Layer 4B to V2 Thick and Thin Stripes.	Yarch J et al.	—	2019	→
Multimodal Analysis of Cell Types in a Hypothalamic Node Controlling Social Behavior.	Kim DW et al.	—	2019	→
Perspectives on defining cell types in the brain.	Mukamel EA et al.	—	2019	→
Pumping the brakes: suppression of synapse development by MDGA-neuroligin interactions.	Connor SA et al.	—	2019	→
Single-cell RNA-Seq characterization of anatomically identified OLM interneurons in different transgenic mouse lines.	Winterer J et al.	—	2019	→
Single cell RNA-sequencing: replicability of cell types.	Crow M et al.	—	2019	→
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks.	Smith SJ et al.	—	2019	→
Sleep Regulation by Neurotensinergic Neurons in a Thalamo-Amygdala Circuit.	Ma C et al.	—	2019	→
Species-Specific miRNAs in Human Brain Development and Disease.	Prodromidou K et al.	—	2019	→
The diversity of GABAergic neurons and neural communication elements.	Huang ZJ et al.	—	2019	→
Transcriptional profiling aligned with in situ expression image analysis reveals mosaically expressed molecular markers for GABA neuron sub-groups in the ventral tegmental area.	Paul EJ et al.	—	2019	→
Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer.	Forés-Martos J et al.	—	2019	→
Transcriptomic profile of the subiculum-projecting VIP GABAergic neurons in the mouse CA1 hippocampus.	Luo X et al.	—	2019	→
Trans-Synaptic Signaling through the Glutamate Receptor Delta-1 Mediates Inhibitory Synapse Formation in Cortical Pyramidal Neurons.	Fossati M et al.	—	2019	→
Tsc1 represses parvalbumin expression and fast-spiking properties in somatostatin lineage cortical interneurons.	Malik R et al.	—	2019	→
Vasoactive intestinal peptide-expressing interneurons are impaired in a mouse model of Dravet syndrome.	Goff KM et al.	—	2019	→
A disinhibitory circuit motif and flexible information routing in the brain.	Wang XJ et al.	—	2018	→
A Modular Organization of LRR Protein-Mediated Synaptic Adhesion Defines Synapse Identity.	Schroeder A et al.	—	2018	→
A Shared Vision for Machine Learning in Neuroscience.	Vu MT et al.	—	2018	→
Brain Transcriptome Databases: A User's Guide.	Keil JM et al.	—	2018	→
Cajal-Retzius cells and GABAergic interneurons of the developing hippocampus: Close electrophysiological encounters of the third kind.	Anstötz M et al.	—	2018	→
Cell Type- and Layer-Specific Muscarinic Potentiation of Excitatory Synaptic Drive onto Parvalbumin Neurons in Mouse Prefrontal Cortex.	Tikhonova TB et al.	—	2018	→
Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor.	Crow M et al.	—	2018	→
Circadian rhythm and sleep-wake systems share the dynamic extracellular synaptic milieu.	Cooper JM et al.	—	2018	→
Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics.	Harris KD et al.	—	2018	→
Development and Functional Diversification of Cortical Interneurons.	Lim L et al.	—	2018	→
Diversity and Connectivity of Layer 5 Somatostatin-Expressing Interneurons in the Mouse Barrel Cortex.	Nigro MJ et al.	—	2018	→
Diversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeq.	Muñoz-Manchado AB et al.	—	2018	→
Early emergence of cortical interneuron diversity in the mouse embryo.	Mi D et al.	—	2018	→
Gene regulatory mechanisms underlying sex differences in brain development and psychiatric disease.	Manoli DS et al.	—	2018	→
Genetic approaches to access cell types in mammalian nervous systems.	He M et al.	—	2018	→
Genetic Dissection of Neural Circuits: A Decade of Progress.	Luo L et al.	—	2018	→
Glutamatergic Signaling in the Central Nervous System: Ionotropic and Metabotropic Receptors in Concert.	Reiner A et al.	—	2018	→
Hair Cell Mechanotransduction Regulates Spontaneous Activity and Spiral Ganglion Subtype Specification in the Auditory System.	Sun S et al.	—	2018	→
Heparan Sulfate Organizes Neuronal Synapses through Neurexin Partnerships.	Zhang P et al.	—	2018	→
Heparan Sulfate Proteoglycans as Emerging Players in Synaptic Specificity.	Condomitti G et al.	—	2018	→
Leucine-rich repeat-containing synaptic adhesion molecules as organizers of synaptic specificity and diversity.	Schroeder A et al.	—	2018	→
Mechanisms of Supralinear Calcium Integration in Dendrites of Hippocampal CA1 Fast-Spiking Cells.	Camiré O et al.	—	2018	→
Molecular diversity underlying cortical excitatory and inhibitory synapse development.	Favuzzi E et al.	—	2018	→
Molecular Mechanisms of Synaptic Specificity: Spotlight on Hippocampal and Cerebellar Synapse Organizers.	Park D et al.	—	2018	→
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.	Moffitt JR et al.	—	2018	→
Morphological and Functional Characterization of Non-fast-Spiking GABAergic Interneurons in Layer 4 Microcircuitry of Rat Barrel Cortex.	Emmenegger V et al.	—	2018	→
Mouse Cntnap2 and Human CNTNAP2 ASD Alleles Cell Autonomously Regulate PV+ Cortical Interneurons.	Vogt D et al.	—	2018	→
Potassium Channel Gain of Function in Epilepsy: An Unresolved Paradox.	Niday Z et al.	—	2018	→
Progressive divisions of multipotent neural progenitors generate late-born chandelier cells in the neocortex.	Sultan KT et al.	—	2018	→
Regulation of Neuronal Differentiation, Function, and Plasticity by Alternative Splicing.	Furlanis E et al.	—	2018	→
Shared and distinct transcriptomic cell types across neocortical areas.	Tasic B et al.	—	2018	→
Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing (DIVA-Seq).	Paul A et al.	—	2018	→
Single cell transcriptomics in neuroscience: cell classification and beyond.	Tasic B	—	2018	→
Three-dimensional intact-tissue sequencing of single-cell transcriptional states.	Wang X et al.	—	2018	→
Toward an Integrative Theory of Thalamic Function.	Rikhye RV et al.	—	2018	→