Evidence map›Paper›PMID 35419551›Full record

ArticleCell genomics2022

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity.

Chongyuan Luo, Hanqing Liu, Fangming Xie, Ethan J Armand, Kimberly Siletti, Trygve E Bakken, Rongxin Fang, Wayne I Doyle, Tim Stuart, Rebecca D Hodge and 23 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
12.5field-weighted citation impact, top 1% of its field
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

115 citing papers in PubMed, 1 synthesis or guideline pooled it, 156 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. The E3 Ubiquitin Ligase UBE3B Regulates Synaptic Development and Cortical Network Activity.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

55 more citing papers are in PubMed but not listed here.

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

33 authors at 7 institutions in 3 countries.

Chongyuan LuoGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Hanqing LiuGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Fangming XieDepartment of Physics, University of California, San Diego, La Jolla, CA 92037, USA.
Ethan J ArmandDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Kimberly SilettiDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden.
Trygve E BakkenAllen Institute for Brain Science, Seattle, WA 98109, USA.
Rongxin FangLudwig Institute for Cancer Research, La Jolla, CA 92093, USA.
Wayne I DoyleDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Tim StuartNew York Genome Center, New York, NY 10013, USA.
Rebecca D HodgeAllen Institute for Brain Science, Seattle, WA 98109, USA.
Lijuan HuDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden.
Bang-An WangGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Zhuzhu ZhangGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Sebastian PreisslCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Dong-Sung LeePeptide Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Jingtian ZhouGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Sheng-Yong NiuGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Rosa CastanonGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Anna BartlettGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Angeline RivkinGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Xinxin WangLudwig Institute for Cancer Research, La Jolla, CA 92093, USA.
Jacinta LuceroComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Joseph R NeryGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
David A DavisDepartment of Neurology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Deborah C MashDepartment of Neurology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Rahul SatijaNew York Genome Center, New York, NY 10013, USA.
Jesse R DixonPeptide Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Sten LinnarssonDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden.
Ed LeinAllen Institute for Brain Science, Seattle, WA 98109, USA.
M Margarita BehrensComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Bing RenLudwig Institute for Cancer Research, La Jolla, CA 92093, USA.
Eran A MukamelDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Joseph R EckerGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Salk Institute for Biological Studies · USUniversity of California San Diego · USAllen Institute for Brain Science · USKarolinska Institutet · SENew York Genome Center · USUniversity of Miami · USUniversity of Freiburg · DE

Funding

Molecular SignaturesU19MH114831 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI DONG, HONG-WEI · 2017 to 2021
$24.6M
A multimodal atlas of human brain cell typesU01MH114812 · NIMH · ALLEN INSTITUTE · PI LEIN, ED · 2017 to 2021
$19.2M
Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotencyU01HG012079 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Chongyuan Luo, Kathrin Plath · 2021 to 2026
$6.9M
TRAINING PROGRAM IN COGNITIVE NEUROSCIENCET32MH020002 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 1999 to 2020
$6.1M
Epigenomic cell-type classification and regulatory element identification in the human brainU01MH121282 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BEHRENS, M MARGARITA, ECKER, JOSEPH R · 2019 to 2021
$5.4M
Development of methods for multi-omic analysis of DNA methylation and chromatin architecture in single cellsR01HG010634 · NHGRI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI DIXON, JESSE R, ECKER, JOSEPH R · 2019 to 2022
$4.3M
SINGLE-CELL MULTI-OMIC APPROACHES TO MECHANISTICALLY CHARACTERIZE PSYCHIATRIC DISORDER RISK LOCI IN THE HUMAN BRAINR01MH125252 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUO, CHONGYUAN · 2021 to 2025
$3.7M
Multidimensional Epigenomic Single Cell AnalysesR21HG009274 · NHGRI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI ECKER, JOSEPH R · 2016 to 2018
$776k
Epigenomic Approaches for Unbiased Single Human-Neuron Subtype CensusR21MH112161 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BEHRENS, M MARGARITA, ECKER, JOSEPH R · 2016 to 2017
$534k
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG010634NHGRI NIH HHS R21 HG009274NHGRI NIH HHS U01 HG012079NIMH NIH HHS R01 MH125252NIMH NIH HHS R21 MH112161NIMH NIH HHS T32 MH020002NIMH NIH HHS U01 MH114812NIMH NIH HHS U01 MH121282NIMH NIH HHS U19 MH114831
6 · The paper itself

Abstract

Single-cell technologies measure unique cellular signatures but are typically limited to a single modality. Computational approaches allow the fusion of diverse single-cell data types, but their efficacy is difficult to validate in the absence of authentic multi-omic measurements. To comprehensively assess the molecular phenotypes of single cells, we devised single-nucleus methylcytosine, chromatin accessibility, and transcriptome sequencing (snmCAT-seq) and applied it to postmortem human frontal cortex tissue. We developed a cross-validation approach using multi-modal information to validate fine-grained cell types and assessed the effectiveness of computational data fusion methods. Correlation analysis in individual cells revealed distinct relations between methylation and gene expression. Our integrative approach enabled joint analyses of the methylome, transcriptome, chromatin accessibility, and conformation for 63 human cortical cell types. We reconstructed regulatory lineages for cortical cell populations and found specific enrichment of genetic risk for neuropsychiatric traits, enabling the prediction of cell types that are associated with diseases.

Identifiers

PMID35419551
PMCPMC9004682
OpenAlexW4221125917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.