Single-Cell Profiling of an In Vitro Model of Human Interneuron Development Reveals Temporal Dynamics of Cell Type Production and Maturation.
- Authors
- Close, Jennie L; Yao, Zizhen; Levi, Boaz P; Miller, Jeremy A; Bakken, Trygve E; Menon, Vilas; Ting, Jonathan T; Wall, Abigail; Krostag, Anne-Rachel; Thomsen, Elliot R; Nelson, Angel M; Mich, John K; Hodge, Rebecca D; Shehata, Soraya I; Glass, Ian A; Bort, Susan; Shapovalova, Nadiya V; Ngo, N Kiet; Grimley, Joshua S; Phillips, John W; Thompson, Carol L; Ramanathan, Sharad; Lein, Ed
- Year
- 2017
- Journal
- Neuron
- PMID
- 28279351
- DOI
- 10.1016/j.neuron.2017.02.014
- PMCID
- PMC5480972
GABAergic interneurons are essential for neural circuit function, and their loss or dysfunction is implicated in human neuropsychiatric disease. In vitro methods for interneuron generation hold promise for studying human cellular and functional properties and, ultimately, for therapeutic cell replacement. Here we describe a protocol for generating cortical interneurons from hESCs and analyze the properties and maturation time course of cell types using single-cell RNA-seq. We find that the cell types produced mimic in vivo temporal patterns of neuron and glial production, with immature progenitors and neurons observed early and mature cortical neurons and glial cell types produced late. By comparing the transcriptomes of immature interneurons to those of more mature neurons, we identified genes important for human interneuron differentiation. Many of these genes were previously implicated in neurodevelopmental and neuropsychiatric disorders.
MGE-like progenitors and neurons are generated in vitro from hESCs(A) Summary of hESC differentiation procedure. (B) D10 immunostaining for SOX2 (red), and MKI67 (green) (C) FOXG1 (red) and NKX2-1(green) at D24. (D,E) GAD67 (green) and SST (red), at D54 and D100, respectively. (F) Percentage of FOXG1 and NKX2-1 expressing cells for 100 ng/ml rmShh + 1 μM purmorphamine (dark green bars) and 50 ng/ml Shh + 0.5 μM purmporphamine (light green bars). 86 ± 2.8% of cells expressed FOXG1 in high Shh and 85 ±1.0% in low Shh cultures. NKX2-1 was expressed in 74.5 ± 9.4% and 65.2 ± 6.2% of cells in high and low Shh-treated cultures, respectively. (G) Quantification of interneuron markers at D54 (dark blue bars): GAD67, 77.2 ± 4.5%; SST, 46.3 ± 6.1%; CALB2, 16.4 ± 2.9%; NR2F2, 37.3 ± 9.6%; 7.2 ± 3.3%. D100 (light blue bars): GAD67, 47.2 ± 7.5%; SST, 24.9 ± 4.5%; CALB2, 12.3 ± 1.7%; NR2F2, 23.4 ± 3.0%; TH, 5.3 ± 1.7%. (H) Percentage SST cells expressing marker at D54 (dark orange bars): CALB2, 21±4.7% ; NR2F2,35.6 ± 9.9%; TH, 5.8 ± 2.1%. D100 (light orange bars): CALB2, 10.3 ± 2.5% ; NR2F2, 29.9 ± 4.9% ; TH, 8.21 ± 3.41%. (I) SOX2 (red) and MKI67 (green) at D10 in DCX-citrine cells. (J) FOXG1 (red) and NKX2-1 (green) expression at D24 in DCX-citrine cells. (K) GAD67 (red) and Citrine (green). (L) MKI67 (red) and Citrine(green). (M) The percentage of citrine-positive cells observed during FACs analysis at each timepoint: D19, 8.7 ± 1.7%; D24, 22.1 ± 1.1% ; D54, 80.7 ± 1.2%; D100, 70.6 ± 6.0% ; D125, 40.8 ± 6.2%. (N) D24 quantification of NKX2-1 (76.2 ± 2.9%, dark grey bar) and FOXG1 (85.7 ± 0.3%, light grey bar) in DCX-citrine (O) Quantification of MAP2 (89 ± 2.3%, dark blue bar), GAD67 (80.5 ± 6.8 %, blue bar), and SST (32.6 ± 3.5%, light blue bar) in DCX-citrine cells at D54. Scale bars = 100 μm. Error bars = s.e.m.
In vitro and in vivo subpopulations are comparable10K cell Citrine− and Citrine+ populations were sorted at D24, D54, D100, and RNAseq was performed. N=3 experiments/timepoint. (A) Telencephalic atterning genes: OTX2, FOXG1, LHX2, SIX3, SOX2, PAX6 and EMX2. Midbrain/hindbrain markers: PAX2, IRX3, EN2 and GBX2. MGE transcription factors: NKX2-1, ASCL1, DLX1, DLX5, LHX8, LHX6, ZEB2, SOX6, abARX, and SATB1. (B) Migration genes: DCX, CXCR7, CXCR4, and ERBB4. Interneuron maturation genes: GAD1, SLC32A1, SST, NPY, CALB2, GRIA2, and GRIA4, CCK, RELN, NOS1, PVALB, and VIP. Values are expressed in Log10 (TPM+1). (C) Representative flow plot of mid-gestation human cortical cells stained for PAX6 and SOX2. Gated sub-populations are named and frequency averaged across four donors (96 to 115 dpc) is shown in parentheses. (D) Hierarchical clustering of marker genes for distinct cortical cell types generated from 100-cell sub-populations from the four cortical specimens as in panel B. (E) Principal component analysis (PCA) of Citrine+ and Citrine− 10,000-cell populations from indicated stages of differentiation and 100-cell populations of primary cortical interneurons (P9-green dots). Primary cortical interneurons are most similar to D54 Citrine+ cells (neurons) in PCA space. For Citrine+ vs Citrine − gene expression levels, *P<0.05, **P<0.01, ***P<0.001, Mann-Whitney (BH FDR correction).
Single cells are distinguishable by transcriptomic signatures(A) PCA of single cells based on high variance genes separates neurons from progenitors along PC1 (Differentiation stage), and separates cells based on their maturation along PC2 (Pseudotime). Top genes loading on PCs 1 and 2 are shown as heat maps along the top and right edges of the PCA plot, respectively. Each box shows the average expression of a particular gene for PCs 1 or 2 for all cells within 1 of 40 evenly spaced bins in PC space. For both D and E, white represents minimal log-transformed expression while red represents maximal expression of a particular gene. P < 10−100 for all genes (B) Example genes showing extensive changes in expression with pseudotime, differentiation stage, or both. Grey dots indicate a cell with FPKM=0.
Single cell transcriptome analysis reveals progenitor and neuron diversity dynamics(A) Iterative WGCNA reveals distinct transcriptomic groups at each time point. Gene expression levels represent centered cluster averages of log2(tpm+1) values. (B-G) Immunofluorescence was used to visualize cell types present in some of the clusters identified. B): ASCL1(red) and NKX2-1(green)-positive cells at D24; C) SP8 (red) and CITRINE (green)-positive cells at D24; D) OLIG2 (red) and ASCL1 (green)-positive cells at D54; E) CORT (red) and CITRINE (green)-positive cells at D54; F) HOPX (red) and CRYAB (green)-positive cells at D100; G) RBFOX3 (red) and CITRINE (green)-positive cells at D100. Arrowheads indicate double-positive cells, Scale bar = 50 μm.
Gene expression differences within cell type groups(A) Assignment to cell type groups based on gene expression: Citrine− cells were assessed based on Z-scores for canonical transcription factors. Z > 0 = positive expression. PAX6+/NKX2-1− cells were designated pTEL (light blue), NKX2-1+/PAX6− cells were either designated as pMGE (ASCL1−, dark blue) or ipMGE (ASCL1+, pink), NKX2-1−/PAX6− cells were designated as progenitors (p, green) or intermediate progenitors (ip, ASCL1+, periwinkle). Citrine+ cells were assigned identity based on gene expression. PAX6+/SP8+ cells were designated nLGE (yellow), ERBB4− neurons were designated nMGE (light orange), SST+/ERBB4+ cells were designated nCTX (dark orange), and OLIG1/OLIG2/PDGFRα+ cells were designated oMGE (maroon). B) Cell type groups identified and classified using WGCNA emerged in distinct temporal patterns. Citrine− cell types: pTEL (light blue), pMGE (dark blue), ipMGE (pink), p (green), and ip (periwinkle). Citrine+ cell types: nLGE (yellow), nMGE (light orange), nCTX (dark orange) and oMGE (maroon). Large circle: >75 cells, Medium circle: 26–75 cells, Small circle: 1–25 cells. Violin plots show gene expression distribution in log2 (tpm+1) for each cluster, scaled relative to the maximal value. (C) Temporal transcriptomic changes within Citrine− cell types. (D) Temporal transcriptomic changes within Citrine+ cell types.
Differentially expressed genes during SST neuron differentiation(A) Analysis of genes differentially expressed between D54 SST clusters reveal the top 21 genes highly enriched in the more immature CORT− clusters, and the top 29 genes enriched in CORT+ clusters are shown. B) Mouse brain expression of select genes found to be differentially regulated during SST cell differentiation.
| # | Section | Preview |
|---|---|---|
| 60 | STAR Methods — Quantification and Statistical Analysis — Defining pseudotime and differentiation stage in single cells | Gene expression was visualized using two strategies. First, gene expression was mapped directly onto… |
| 61 | STAR Methods — Data and Software Availability | Raw and normalized RNA-Seq data from hESC-derived cells can be obtained at NCBI GEO accession super… |
| Name | Type |
|---|---|
| 2-mercaptoethanol | drug |
| accutase | drug |
| aCSF | drug |
| Adenosine 3′,5′-cyclic monophosphate local | drug |
| Agilent 2100 Bioanalyzer | drug |
| Alexa Fluor dyes local | drug |
| Ampure XP beads | drug |
| ANXA1 local | gene |
| AQP4 local | gene |
| artificial cerebrospinal fluid | drug |
| ARX | gene |
| Ascl1 | gene |
| astrocyte differentiation local | phenotype |
| autism | phenotype |
| autism spectrum disorder | phenotype |
| axon outgrowth local | phenotype |
| B-27 supplement | drug |
| BCAN local | gene |
| Bdnf | gene |
| Borosilicate glass electrodes local | drug |
| Bovine Albumin Fraction V Solution local | drug |
| bovine serum albumin | drug |
| BSA | drug |
| C1orf6 local | gene |
| CaCl2·2H2O local | drug |
| CALB2 | gene |
| calcium | drug |
| carbogen gas local | drug |
| Cck | gene |
| CCND2 local | gene |
| Chat | gene |
| Cit+ local | cohort |
| Cit+ local | phenotype |
| Cit− local | cohort |
| Cit− local | phenotype |
| Cit+ cells local | cohort |
| Cit+ cells local | phenotype |
| Cit− cells local | cohort |
| Cit− cells local | phenotype |
| Cit fluorescence local | drug |
| Cit+ nCTX cells local | phenotype |
| Cit+ population local | cohort |
| Cit− population local | cohort |
| Citrine local | drug |
| CNTN1 local | gene |
| CNTNAP2 | gene |
| COL2A1 local | gene |
| CORT local | gene |
| cortex | anatomy |
| cortical excitotoxicity local | phenotype |
| cortical piece local | anatomy |
| CORT+ nCTX cluster local | cohort |
| CORT− nCTX cluster local | cohort |
| CRABP2 local | gene |
| CRYAB | gene |
| CTX local | anatomy |
| CXCR4 | gene |
| Cxcr7 | gene |
| D100 local | cohort |
| D100 dpc fetal human cortex local | cohort |
| D125 in vitro local | cohort |
| D54 local | cohort |
| D54 interneurons local | cohort |
| D54 in vitro local | cohort |
| D54 SST+ clusters local | cohort |
| DAB1 local | gene |
| DAPI | drug |
| DCC | gene |
| DCX | gene |
| DCX-Cit line local | cohort |
| DCX-Cit reporter line local | cohort |
| DCX+ D100 local | cohort |
| DCX− D100 local | cohort |
| DCX+ D125 local | cohort |
| DCX− D125 local | cohort |
| DCX+ D24 local | cohort |
| DCX− D24 local | cohort |
| DCX+ D54 local | cohort |
| DCX− D54 local | cohort |
| developmental delay | phenotype |
| developmental disorders | phenotype |
| dextrose | drug |
| Digidata 1550 digitizer local | drug |
| dispase | drug |
| DL-AP5 local | drug |
| Dlk1 | gene |
| DLL local | gene |
| DLL1 local | gene |
| DLL3 | gene |
| Dlx1 | gene |
| Dlx2 | gene |
| Dlx5 | gene |
| DLX6 | gene |
| DMEM/F12 | drug |
| DNase I | drug |
| DNQX | drug |
| Early pseudotime neurons local | anatomy |
| Early-stage progenitors local | anatomy |
| EDTA | drug |
| EGTA | drug |
| Emx1 | gene |
| EN2 | gene |
| epilepsy | phenotype |
| ERBB4 | gene |
| FACSAria II SORP local | drug |
| FAM60A local | gene |
| FBS | drug |
| fetal cortical cells local | cohort |
| Fluormount-G local | drug |
| forebrain | anatomy |
| four clusters local | cohort |
| FOXG1 | gene |
| FRISCR local | drug |
| GABA | phenotype |
| GABA receptor local | phenotype |
| Gabbr2 | gene |
| Gabrg2 | gene |
| GAD1 | gene |
| Gate P09 populations local | cohort |
| Gbx2 | gene |
| GDNF | drug |
| genes | gene |
| GFP | drug |
| glucose | drug |
| Glutamax | drug |
| Glutamax supplement local | drug |
| GPC3 local | gene |
| GRIA2 | gene |
| GRIA4 | gene |
| GSE93593 local | cohort |
| GSE93801 local | cohort |
| GSE93802 local | cohort |
| H1 local | cohort |
| H1 hESC line local | cohort |
| HBSS | drug |
| HEPES | drug |
| HES6 | gene |
| hESC-derived cells local | cohort |
| hESC-derived cultures local | cohort |
| hESC-derived human interneurons local | cohort |
| High Sensitivity DNA Chip | drug |
| hindbrain | anatomy |
| HOPX | gene |
| Htr3a | gene |
| human brain | anatomy |
| human cortical cells local | cohort |
| human embryonic stem cell-derived MGE-like cells local | cohort |
| human embryonic stem cells | cohort |
| human embryonic stem cells (hESCs) local | cohort |
| human ESC-derived neurons local | cohort |
| human fetal cortex local | anatomy |
| human fetal cortical cells local | cohort |
| human fetal interneurons local | cohort |
| Human fetal neocortical samples local | cohort |
| Human fetal samples local | cohort |
| Illumina HiSeq | drug |
| immature neuron local | phenotype |
| immunoglobulin superfamily local | phenotype |
| intermediate differentiation stage local | phenotype |
| intermediate progenitors | anatomy |
| intermediate zone | anatomy |
| interneuron | phenotype |
| interneuron subtypes local | phenotype |
| in vitro cells local | cohort |
| in vitro-derived inhibitory interneurons local | phenotype |
| in vitro-derived subpopulations local | cohort |
| In vitro interneuron populations local | cohort |
| in vivo cells local | cohort |
| in vivo-derived interneurons local | cohort |
| ion channel local | phenotype |
| ion channel function local | phenotype |
| ipMGE cells local | phenotype |
| IRX3 local | gene |
| KAPA HotStart HIFI 2× ReadyMix local | drug |
| KCl | drug |
| Kcnc2 | gene |
| K-gluconate | drug |
| Laboratory of Developmental Biology (BDRL) local | cohort |
| laminin | drug |
| late pseudotime neurons local | phenotype |
| Late pseudotime neurons local | anatomy |
| lateral ganglionic eminence | anatomy |
| Late-stage progenitors local | anatomy |
| layers IV-VI local | anatomy |
| LDN193189 local | drug |
| Leibovitz L-15 medium local | drug |
| LGE | anatomy |
| LHX2 | gene |
| Lhx6 | gene |
| Lhx8 | gene |
| magnesium | drug |
| MAP2 | gene |
| matrigel | drug |
| medial ganglionic eminence | anatomy |
| medial ganglionic eminence (MGE) local | anatomy |
| MEF2C | gene |
| MEM Non-Essential Amino Acids Solution local | drug |
| Mg-ATP local | drug |
| MgCl2 | drug |
| MGE-like cells local | phenotype |
| MGE progenitors local | anatomy |
| MGE subtype specification local | phenotype |
| MgSO4·7H2O local | drug |
| mice | cohort |
| midbrain | anatomy |
| migrating interneurons local | anatomy |
| migration | phenotype |
| mitotic cells local | phenotype |
| MKI67 | gene |
| monkeys | cohort |
| mood disorders | phenotype |
| mouse cortex | anatomy |
| mTesR | drug |
| Multiclamp 700B amplifier local | drug |
| N2/B27 local | drug |
| N2 medium | drug |
| N-2 supplement local | drug |
| Na2-GTP local | drug |
| Na2-phosphocreatine local | drug |
| NaH2PO4 | drug |
| NaHCO3 | drug |
| NBND medium local | drug |
| nCTX local | phenotype |
| nCTX.54.CORT local | cohort |
| nCTX.54.CORT/NEFL local | cohort |
| nCTX.54.SST local | cohort |
| nCTX.54.SST/GRIA2 local | cohort |
| nCTX cells local | phenotype |
| neocortex | anatomy |
| neurobasal medium | drug |
| neurodegenerative disorders | phenotype |
| neuronal differentiation | phenotype |
| neuronal progenitors local | phenotype |
| neurons | phenotype |
| neuropsychiatric disorders | phenotype |
| neurotransmitter release | phenotype |
| Nextera XT library prep system local | drug |
| NFIA | gene |
| NIMX local | drug |
| NIMX media local | drug |
| NKX2-1 | gene |
| nLGE local | phenotype |
| nLGE cells local | phenotype |
| nMGE local | phenotype |
| nMGE cluster local | cohort |
| normal goat serum | drug |
| Nos1 | gene |
| NPY | gene |
| NR2F2 local | gene |
| NT-3 local | drug |
| NTM local | gene |
| olfactory bulb | anatomy |
| OLIG1 | gene |
| Olig2 | gene |
| oligodendrocytes | phenotype |
| oMGE local | phenotype |
| OPCML | gene |
| OTX2 | gene |
| Pallial local | anatomy |
| pallium | anatomy |
| paraformaldehyde | drug |
| PAX2 local | gene |
| Pax6 | gene |
| Pcdh15 | gene |
| pClamp10 data acquisition software local | drug |
| PDE1A local | gene |
| PDGFRA | gene |
| PDPN local | gene |
| penicillin-streptomycin | drug |
| PFA | drug |
| PHLDA1 local | gene |
| phs001276.v1.p1 local | cohort |
| picrotoxin | drug |
| pMGE clusters local | cohort |
| poly-D-lysine | drug |
| postmitotic cells local | phenotype |
| primary cortical cells local | cohort |
| progenitor local | phenotype |
| Progenitors local | anatomy |
| Progenitors local | cohort |
| ProtoScript II local | drug |
| pTEL local | phenotype |
| pTEL progenitor clusters local | cohort |
| PTN local | gene |
| purmorphamine | drug |
| Pvalb | gene |
| Quenching Buffer local | drug |
| RAB3B local | gene |
| RBFOX3 | gene |
| Reln | gene |
| RIC3 local | gene |
| RLT Lysis Buffer local | drug |
| RNasin Plus local | drug |
| S100A10 local | gene |
| S100B local | gene |
| S1PR1 local | gene |
| SATB1 local | gene |
| SB431542 | drug |
| schizophrenia | phenotype |
| SCN2A local | gene |
| SERPINI1 local | gene |
| Shh | gene |
| Shh agonist local | drug |
| SIX3 | gene |
| slow-wave sleep | phenotype |
| SmartSeq2 local | drug |
| Sodium-L-Ascorbate local | drug |
| Sonic hedgehog | drug |
| Sox2 | gene |
| Sox6 | gene |
| SP8 | gene |
| spontaneous inhibitory postsynaptic currents (sIPSCs) local | phenotype |
| Sst | gene |
| SST-expressing interneurons local | anatomy |
| SST+ interneuron maturation local | phenotype |
| Sst+ interneurons | phenotype |
| SST neuron subtype local | anatomy |
| staining buffer | drug |
| Staining Medium local | drug |
| STMN2 | gene |
| striatal interneurons | phenotype |
| striatum | anatomy |
| synaptogenesis | phenotype |
| TBR2 | gene |
| telencephalic progenitors local | anatomy |
| telencephalon | anatomy |
| Th | gene |
| thiazovivin | drug |
| Triton X-100 | drug |
| trypsin | drug |
| Trypsin inhibitor | drug |
| TTX | drug |
| ventral telencephalon | anatomy |
| vGLUT1 | gene |
| VIM | gene |
| Vip | gene |
| water | drug |
| WNT pathway inhibitor local | drug |
| XAV939 local | drug |
| ZEB2 | gene |
| ZFP36L1 local | gene |
| α7 nicotinic acetylcholine receptor | drug |
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| Title | Year | PMID |
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External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data. | Pavel A et al. | — | 2025 | → |
| Fast-spiking parvalbumin-positive interneurons: new perspectives of treatment and future challenges in dementia. | Zhang X et al. | — | 2025 | → |
| sPGGM: a sample-perturbed Gaussian graphical model for identifying pre-disease stages and signaling molecules of disease progression. | Zhong J et al. | — | 2025 | → |
| Drug targeting in psychiatric disorders - how to overcome the loss in translation? | Khodosevich K et al. | — | 2024 | → |
| Limitations of fluorescent timer protein maturation kinetics to isolate transcriptionally synchronized human neural progenitor cells. | Peter M et al. | — | 2024 | → |
| Multimodal Nature of the Single-cell Primate Brain Atlas: Morphology, Transcriptome, Electrophysiology, and Connectivity. | Shen Y et al. | — | 2024 | → |
| NACC2, a molecular effector of miR-132 regulation at the interface between adult neurogenesis and Alzheimer's disease. | Penning A et al. | — | 2024 | → |
| Sex-biased gene expression during neural differentiation of human embryonic stem cells. | Pottmeier P et al. | — | 2024 | → |
| Sustained Microglial Activation Promotes Synaptic Loss and Neuronal Dysfunction after Recovery from ZIKV Infection. | Kim N et al. | — | 2024 | → |
| Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features. | Tian L et al. | — | 2023 | → |
| Human pallial MGE-type GABAergic interneuron cell therapy for chronic focal epilepsy. | Bershteyn M et al. | — | 2023 | → |
| Emerging Bioelectronics for Brain Organoid Electrophysiology. | Tasnim K et al. | — | 2022 | → |
| Evolution and antiviral activity of a human protein of retroviral origin. | Frank JA et al. | — | 2022 | → |
| Intronic elements associated with insomnia and restless legs syndrome exhibit cell-type-specific epigenetic features contributing to MEIS1 regulation. | Lam DD et al. | — | 2022 | → |
| ZEB2 haploinsufficient Mowat-Wilson syndrome induced pluripotent stem cells show disrupted GABAergic transcriptional regulation and function. | Schuster J et al. | — | 2022 | → |
| Advancing models of neural development with biomaterials. | Roth JG et al. | — | 2021 | → |
| Interneuron origin and molecular diversity in the human fetal brain. | Yu Y et al. | — | 2021 | → |
| Intronic elements associated with insomnia and restless legs syndrome exhibit cell type-specific epigenetic features contributing to <i>MEIS1</i> regulation | Lam DD et al. | — | 2021 | — |
| Cell-cycle dependence of transcriptome gene modules: comparison of regression lines. | Vinogradov AE et al. | — | 2020 | → |
| Comparisons of dual isogenic human iPSC pairs identify functional alterations directly caused by an epilepsy associated SCN1A mutation. | Xie Y et al. | — | 2020 | → |
| Generation of cerebral cortical GABAergic interneurons from pluripotent stem cells. | Fitzgerald M et al. | — | 2020 | → |
| Pluripotent stem cell derived inhibitory interneurons - principles and applications in health and disease. | Keefe F et al. | — | 2020 | → |
| Transcriptomic and epigenomic dynamics associated with development of human iPSC-derived GABAergic interneurons. | Inglis GAS et al. | — | 2020 | → |
| Translatome Analyses Using Conditional Ribosomal Tagging in GABAergic Interneurons and Other Sparse Cell Types. | Mahadevan V et al. | — | 2020 | → |
| Cortical Malformations: Lessons in Human Brain Development. | Subramanian L et al. | — | 2019 | → |
| Impact of similarity metrics on single-cell RNA-seq data clustering. | Kim T et al. | — | 2019 | → |
| Precisely controlling endogenous protein dosage in hPSCs and derivatives to model FOXG1 syndrome. | Zhu W et al. | — | 2019 | → |
| Regulation of catecholamine release from the adrenal medulla is altered in deer mice (<i>Peromyscus maniculatus</i>) native to high altitudes. | Scott AL et al. | — | 2019 | → |
| SArKS: de novo discovery of gene expression regulatory motif sites and domains by suffix array kernel smoothing. | Wylie DC et al. | — | 2019 | → |
| Clustering single cells: a review of approaches on high-and low-depth single-cell RNA-seq data. | Menon V | — | 2018 | → |
| Early emergence of cortical interneuron diversity in the mouse embryo. | Mi D et al. | — | 2018 | → |
| Ex Utero Electroporation and Organotypic Slice Cultures of Embryonic Mouse Brains for Live-Imaging of Migrating GABAergic Interneurons. | Eid L et al. | — | 2018 | → |
| Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells? | Prytkova I et al. | — | 2018 | → |
| Human Brain Organoids on a Chip Reveal the Physics of Folding. | Karzbrun E et al. | — | 2018 | → |
| Identification and characterization of functional modules reflecting transcriptome transition during human neuron maturation. | He Z et al. | — | 2018 | → |
| Single-Cell RNA-Seq of Mouse Olfactory Bulb Reveals Cellular Heterogeneity and Activity-Dependent Molecular Census of Adult-Born Neurons. | Tepe B et al. | — | 2018 | → |
| Single cell transcriptomics in neuroscience: cell classification and beyond. | Tasic B | — | 2018 | → |
| The Differences in Local Translatome across Distinct Neuron Types Is Mediated by Both Baseline Cellular Differences and Post-transcriptional Mechanisms. | Ouwenga R et al. | — | 2018 | → |
| Molecular and cellular reorganization of neural circuits in the human lineage. | Sousa AMM et al. | — | 2017 | → |
| Regulatory networks specifying cortical interneurons from human embryonic stem cells reveal roles for CHD2 in interneuron development. | Meganathan K et al. | — | 2017 | → |
| The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas. | Ecker JR et al. | — | 2017 | → |