Evidence map›Paper›PMID 39677822›Full record

ArticlebioRxiv : the preprint server for biology2024

Expanding GABAergic Neuronal Diversity in iPSC-Derived Disease Models.

Ruiqi Hu, Linda L Boshans, Bohan Zhu, Peiwen Cai, Yiran Tao, Mark Youssef, Gizem Inak Girrbach, Yingnan Song, Xuran Wang, Alexander Tsankov and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ruiqi HuNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Linda L BoshansNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Bohan ZhuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Peiwen CaiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Yiran TaoNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Mark YoussefNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Gizem Inak GirrbachNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Yingnan SongDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Xuran WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Alexander TsankovDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Joseph D BuxbaumDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Sai MaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Nan YangNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0003-3663-1288

Funding

Functional mapping of noncoding regulatory variants in human neuronal subtypes3.R01MH129372 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Nan Yang · 2022 to 2026
$3.4M
Cellular and Molecular Mechanisms of Brain Dysfunction in NF1R01NS116057 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI YANG, NAN · 2020 to 2024
$2.0M
Generation and characterization of MGE-derived GABAergic neurons from human pluripotent stem cellsR21MH119580 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI YANG, NAN · 2019 to 2020
$466k
NIMH NIH HHS R01 MH129372NIMH NIH HHS R21 MH119580NINDS NIH HHS R01 NS116057
6 · The paper itself

Abstract

GABAergic interneurons play a critical role in maintaining neural circuit function, and their dysfunction is implicated in various neurodevelopmental and psychiatric disorders. Traditional approaches for differentiating human pluripotent stem cells (PSCs) into neuronal cells often face challenges such as incomplete neural differentiation, prolonged culture periods, and variability across PSC lines. To address these limitations, we developed a new strategy that integrates overexpression of transcription factors ASCL1 and DLX2 with dual-SMAD and WNT inhibition, efficiently driving the differentiation of human PSCs into diverse, region-specific GABAergic neuronal types. Using single-cell sequencing, we characterized the cellular heterogeneity of GABAergic induced neurons (iNs) generated with the patterning factors (patterned iNs) and those derived solely with transcription factors (PSC-derived iNs), uncovering the regulatory mechanisms that govern their fate specification. Patterned iNs exhibited gene expression features corresponding to multiple brain regions, particularly ganglionic eminence (GE) and neocortex, while GABAergic PSC-derived iNs predominantly resembled hypothalamic and thalamic neurons. Both iN types were enriched for genes relevant to neurodevelopmental and psychiatric disorders, with patterned iNs more specifically linked to neural lineage genes, highlighting their utility for disease modeling. We further applied this protocol to investigate the impact of an ADNP syndrome-associated mutation (p.Tyr719* variant) on GABAergic neuron differentiation, revealing that this mutation disrupts GABAergic fate specification and synaptic transmission. Overall, this study expands the toolkit for disease modeling by demonstrating the complementary advantages of GABAergic PSC-derived iNs and patterned iNs in representing distinct GABAergic neuron subtypes, brain regions, and disease contexts. These approaches offer a powerful platform for elucidating the molecular mechanisms underlying various neurodevelopmental and psychiatric disorders.

Identifiers

PMID39677822
PMCPMC11642846

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.