Evidence map›Paper›PMID 38948843›Full record

ArticlebioRxiv : the preprint server for biology2024

The transcriptomic and spatial organization of telencephalic GABAergic neuronal types.

Cindy T J van Velthoven, Yuan Gao, Michael Kunst, Changkyu Lee, Delissa McMillen, Anish Bhaswanth Chakka, Tamara Casper, Michael Clark, Rushil Chakrabarty, Scott Daniel and 23 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

5 · Who and what money

Authors and funding

33 authors.

Cindy T J van VelthovenAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-5120-4546
Yuan GaoAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-6365-7646
Michael KunstAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-4159-8056
Changkyu LeeAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-6146-0404
Delissa McMillenAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-3413-4424
Anish Bhaswanth ChakkaAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-1095-1817
Tamara CasperAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-1638-3651
Michael ClarkAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-8006-4332
Rushil ChakrabartyAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-1722-8557
Scott DanielAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-8319-2359
Tim DolbeareAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-5147-1713
Rebecca FerrerAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-4775-1285
Jessica GloeAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-8343-3423
Jeff GoldyAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-5140-6922
Junitta GuzmanAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-8217-9232
Carliana HaltermanAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0009-0006-2297-2590
Windy HoAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-6200-9906
Mike HuangAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0009-0000-7996-0888
Katelyn JamesAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-5540-8677
Beagan NguyAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-9577-5260
Trangthanh PhamAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-4738-5062
Kara RonellenfitchAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0009-0007-6221-8485
Eric D ThomasAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-4300-2893
Amy TorkelsonAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-9465-4202
Chelsea M PaganAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-3932-9992
Lauren KruseAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-3428-2443
Nick DeeAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-2831-9254
Lydia NgAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-7499-3514
Jack WatersAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-2312-4183
Kimberly A SmithAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-3142-1970
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-6861-4506
Zizhen YaoAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-9361-5607
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-0326-5878

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
Comprehensive single-cell atlas of the developing mouse brainU01MH130962 · NIMH · HARVARD UNIVERSITY · PI Paola Arlotta, Tomasz Nowakowski · 2022 to 2026
$33.3M
NIMH NIH HHS U01 MH130962NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

The telencephalon of the mammalian brain comprises multiple regions and circuit pathways that play adaptive and integrative roles in a variety of brain functions. There is a wide array of GABAergic neurons in the telencephalon; they play a multitude of circuit functions, and dysfunction of these neurons has been implicated in diverse brain disorders. In this study, we conducted a systematic and in-depth analysis of the transcriptomic and spatial organization of GABAergic neuronal types in all regions of the mouse telencephalon and their developmental origins. This was accomplished by utilizing 611,423 single-cell transcriptomes from the comprehensive and high-resolution transcriptomic and spatial cell type atlas for the adult whole mouse brain we have generated, supplemented with an additional single-cell RNA-sequencing dataset containing 99,438 high-quality single-cell transcriptomes collected from the pre- and postnatal developing mouse brain. We present a hierarchically organized adult telencephalic GABAergic neuronal cell type taxonomy of 7 classes, 52 subclasses, 284 supertypes, and 1,051 clusters, as well as a corresponding developmental taxonomy of 450 clusters across different ages. Detailed charting efforts reveal extraordinary complexity where relationships among cell types reflect both spatial locations and developmental origins. Transcriptomically and developmentally related cell types can often be found in distant and diverse brain regions indicating that long-distance migration and dispersion is a common characteristic of nearly all classes of telencephalic GABAergic neurons. Additionally, we find various spatial dimensions of both discrete and continuous variations among related cell types that are correlated with gene expression gradients. Lastly, we find that cortical, striatal and some pallidal GABAergic neurons undergo extensive postnatal diversification, whereas septal and most pallidal GABAergic neuronal types emerge simultaneously during the embryonic stage with limited postnatal diversification. Overall, the telencephalic GABAergic cell type taxonomy can serve as a foundational reference for molecular, structural and functional studies of cell types and circuits by the entire community.

Identifiers

PMID38948843
PMCPMC11212977

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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.