Evidence map›Paper›PMID 37034735›Full record

ArticlebioRxiv : the preprint server for biology2023

A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain.

Zizhen Yao, Cindy T J van Velthoven, Michael Kunst, Meng Zhang, Delissa McMillen, Changkyu Lee, Won Jung, Jeff Goldy, Aliya Abdelhak, Pamela Baker and 62 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 138 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

72 authors at 3 institutions in 1 country.

Zizhen YaoAllen Institute for Brain Science, Seattle, WA, USA.
Cindy T J van VelthovenAllen Institute for Brain Science, Seattle, WA, USA.
Michael KunstAllen Institute for Brain Science, Seattle, WA, USA.
Meng ZhangHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA.
Delissa McMillenAllen Institute for Brain Science, Seattle, WA, USA.
Changkyu LeeAllen Institute for Brain Science, Seattle, WA, USA.
Won JungHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA.
Jeff GoldyAllen Institute for Brain Science, Seattle, WA, USA.
Aliya AbdelhakAllen Institute for Brain Science, Seattle, WA, USA.
Pamela BakerAllen Institute for Brain Science, Seattle, WA, USA.
Eliza BarkanAllen Institute for Brain Science, Seattle, WA, USA.
Darren BertagnolliAllen Institute for Brain Science, Seattle, WA, USA.
Jazmin CamposAllen Institute for Brain Science, Seattle, WA, USA.
Daniel CareyAllen Institute for Brain Science, Seattle, WA, USA.
Tamara CasperAllen Institute for Brain Science, Seattle, WA, USA.
Anish Bhaswanth ChakkaAllen Institute for Brain Science, Seattle, WA, USA.
Rushil ChakrabartyAllen Institute for Brain Science, Seattle, WA, USA.
Sakshi ChavanAllen Institute for Brain Science, Seattle, WA, USA.
Min ChenUniversity of Pennsylvania, Philadelphia, PA, USA.
Michael ClarkAllen Institute for Brain Science, Seattle, WA, USA.
Jennie CloseAllen Institute for Brain Science, Seattle, WA, USA.
Kirsten CrichtonAllen Institute for Brain Science, Seattle, WA, USA.
Scott DanielAllen Institute for Brain Science, Seattle, WA, USA.
Tim DolbeareAllen Institute for Brain Science, Seattle, WA, USA.
Lauren EllingwoodAllen Institute for Brain Science, Seattle, WA, USA.
James GeeUniversity of Pennsylvania, Philadelphia, PA, USA.
Alexandra GlandonAllen Institute for Brain Science, Seattle, WA, USA.
Jessica GloeAllen Institute for Brain Science, Seattle, WA, USA.
Joshua GouldGenentech, San Francisco, CA, USA.
James GrayAllen Institute for Brain Science, Seattle, WA, USA.
Nathan GuilfordAllen Institute for Brain Science, Seattle, WA, USA.
Junitta GuzmanAllen Institute for Brain Science, Seattle, WA, USA.
Daniel HirschsteinAllen Institute for Brain Science, Seattle, WA, USA.
Windy HoAllen Institute for Brain Science, Seattle, WA, USA.
Kelly JinAllen Institute for Brain Science, Seattle, WA, USA.
Matthew KrollAllen Institute for Brain Science, Seattle, WA, USA.
Kanan LathiaAllen Institute for Brain Science, Seattle, WA, USA.
Arielle LeonAllen Institute for Brain Science, Seattle, WA, USA.
Brian LongAllen Institute for Brain Science, Seattle, WA, USA.
Zoe MaltzerAllen Institute for Brain Science, Seattle, WA, USA.
Naomi MartinAllen Institute for Brain Science, Seattle, WA, USA.
Rachel McCueAllen Institute for Brain Science, Seattle, WA, USA.
Emma MeyerdierksAllen Institute for Brain Science, Seattle, WA, USA.
Thuc Nghi NguyenAllen Institute for Brain Science, Seattle, WA, USA.
Trangthanh PhamAllen Institute for Brain Science, Seattle, WA, USA.
Christine RimorinAllen Institute for Brain Science, Seattle, WA, USA.
Augustin RuizAllen Institute for Brain Science, Seattle, WA, USA.
Nadiya ShapovalovaAllen Institute for Brain Science, Seattle, WA, USA.
Cliff SlaughterbeckAllen Institute for Brain Science, Seattle, WA, USA.
Josef SulcAllen Institute for Brain Science, Seattle, WA, USA.
Michael TieuAllen Institute for Brain Science, Seattle, WA, USA.
Amy TorkelsonAllen Institute for Brain Science, Seattle, WA, USA.
Herman TungAllen Institute for Brain Science, Seattle, WA, USA.
Nasmil Valera CuevasAllen Institute for Brain Science, Seattle, WA, USA.
Katherine WadhwaniAllen Institute for Brain Science, Seattle, WA, USA.
Katelyn WardAllen Institute for Brain Science, Seattle, WA, USA.
Boaz LeviAllen Institute for Brain Science, Seattle, WA, USA.
Colin FarrellAllen Institute for Brain Science, Seattle, WA, USA.
Carol L ThompsonAllen Institute for Brain Science, Seattle, WA, USA.
Shoaib MuftiAllen Institute for Brain Science, Seattle, WA, USA.
Chelsea M PaganAllen Institute for Brain Science, Seattle, WA, USA.
Lauren KruseAllen Institute for Brain Science, Seattle, WA, USA.
Nick DeeAllen Institute for Brain Science, Seattle, WA, USA.
Susan M SunkinAllen Institute for Brain Science, Seattle, WA, USA.
Luke EspositoAllen Institute for Brain Science, Seattle, WA, USA.
Michael J HawrylyczAllen Institute for Brain Science, Seattle, WA, USA.
Jack WatersAllen Institute for Brain Science, Seattle, WA, USA.
Lydia NgAllen Institute for Brain Science, Seattle, WA, USA.
Kimberly A SmithAllen Institute for Brain Science, Seattle, WA, USA.
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA, USA.
Xiaowei ZhuangHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA.
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.
Allen Institute for Brain Science · USHoward Hughes Medical Institute · USUniversity of Pennsylvania · US

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

The mammalian brain is composed of millions to billions of cells that are organized into numerous cell types with specific spatial distribution patterns and structural and functional properties. An essential step towards understanding brain function is to obtain a parts list, i.e., a catalog of cell types, of the brain. Here, we report a comprehensive and high-resolution transcriptomic and spatial cell type atlas for the whole adult mouse brain. The cell type atlas was created based on the combination of two single-cell-level, whole-brain-scale datasets: a single-cell RNA-sequencing (scRNA-seq) dataset of ~7 million cells profiled, and a spatially resolved transcriptomic dataset of ~4.3 million cells using MERFISH. The atlas is hierarchically organized into five nested levels of classification: 7 divisions, 32 classes, 306 subclasses, 1,045 supertypes and 5,200 clusters. We systematically analyzed the neuronal, non-neuronal, and immature neuronal cell types across the brain and identified a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type. The results reveal unique features of cell type organization in different brain regions, in particular, a dichotomy between the dorsal and ventral parts of the brain: the dorsal part contains relatively fewer yet highly divergent neuronal types, whereas the ventral part contains more numerous neuronal types that are more closely related to each other. We also systematically characterized cell-type specific expression of neurotransmitters, neuropeptides, and transcription factors. The study uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types across the brain, suggesting they mediate a myriad of modes of intercellular communications. Finally, we found that transcription factors are major determinants of cell type classification in the adult mouse brain and identified a combinatorial transcription factor code that defines cell types across all parts of the brain. The whole-mouse-brain transcriptomic and spatial cell type atlas establishes a benchmark reference atlas and a foundational resource for deep and integrative investigations of cell type and circuit function, development, and evolution of the mammalian brain.

Identifiers

PMID37034735
PMCPMC10081189
OpenAlexW4361018034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.