Evidence map›Paper›PMID 39627587›Full record

ReviewNature neuroscience2024

Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.

Boyan Bonev, Gonçalo Castelo-Branco, Fei Chen, Simone Codeluppi, M Ryan Corces, Jean Fan, Myriam Heiman, Kenneth Harris, Fumitaka Inoue, Manolis Kellis and 21 more

Erratum issuedAbstract readReview
In one paragraph

Review in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Molecular dynamics of Brodmann Area 22 in development and autism.bioRxiv : the preprint server for biology · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Boyan BonevHelmholtz Pioneer Campus, Helmholtz Zentrum München, Neuherberg, Germany.
Gonçalo Castelo-BrancoLaboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2247-9393
Fei ChenThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2308-3649
Simone CodeluppiMoleculent, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7053-0520
M Ryan CorcesGladstone Institute of Neurological Disease, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7465-7652
Jean FanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-0212-5451
Myriam HeimanDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6365-8673
Kenneth HarrisUCL Queen Square Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0000-0002-5930-6456
Fumitaka InoueInstitute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0657-434X
Manolis KellisThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7113-9630
Ariel LevineSpinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-0335-0730
Mo LotfollahiInstitute of Computational Biology, Helmholtz Center Munich - German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-6858-7985
Chongyuan LuoDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
Kristen R MaynardLieber Institute for Brain Development, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-0031-8468
Mor NitzanSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0003-0074-9196
Vijay RamaniGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Rahul SatijiaNew York Genome Center, New York, NY, USA.
Lucas SchirmerDepartment of Neurology, Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0001-7142-4116
Yin ShenDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9901-5613
Na SunThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Gilad S GreenThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Fabian TheisWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID http://orcid.org/0000-0002-2419-1943
Xiao WangThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3090-9894
Joshua D WelchDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-5869-2391
Ozgun GokceGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. Ozgun.Goekce@ukbonn.de.ORCID http://orcid.org/0000-0001-6319-404X
Genevieve KonopkaDepartment of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA. genevieve.konopka@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-3363-7302
Shane LiddelowNeuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA. shane.liddelow@nyulangone.org.ORCID http://orcid.org/0000-0002-0840-1437
Evan MacoskoThe Broad Institute of MIT and Harvard, Cambridge, MA, USA. emacosko@broadinstitute.org.ORCID http://orcid.org/0000-0002-2794-5165
Omer Ali BayraktarWellcome Sanger Institute, Hinxton, UK. ob5@sanger.ac.uk.ORCID http://orcid.org/0000-0001-6055-277X
Naomi HabibThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel. naomi.habib@mail.huji.ac.il.ORCID http://orcid.org/0000-0002-6049-2487
Tomasz J NowakowskiWeill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. tomasz.nowakowski@ucsf.edu.ORCID http://orcid.org/0000-0003-2345-4964

Funding

Comprehensive single-cell atlas of the developing mouse brainU01MH130962 · NIMH · HARVARD UNIVERSITY · PI Paola Arlotta, Tomasz Nowakowski · 2022 to 2026
$33.3M
Project 4: Cross-species Dissection of Cellular Response to APOE Genotype and AD Pathology Using Single-cell Multi-omicsP01AG073082 · NIA · J. DAVID GLADSTONE INSTITUTES · PI HUANG, YADONG, MUCKE, LENNART · 2021 to 2025
$23.4M
Mechanisms of Plasticity in the Spinal CordZIANS003153 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LEVINE, ARIEL · 2016 to 2025
$20.9M
Single-cell Mapping Center for Human Regulatory Elements and Gene ActivityUM1HG012076 · NHGRI · STANFORD UNIVERSITY · PI Michael Ryan Corces, Ansuman Satpathy · 2021 to 2026
$13.8M
Multi-omic functional assessment of novel AD variants using high-throughput and single-cell technologiesU01AG072573 · NIA · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL, MONTGOMERY, STEPHEN · 2021 to 2025
$8.3M
Elucidate the roles of Alzheimer's disease risk genes and variants in gene expression and AD-related phenotypesRF1AG079557 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GAN, LI, SHEN, YIN · 2022 to 2025
$6.1M
Study of Selective Cell and System Vulnerability in Alzheimer's DiseaseR01AG079291 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Li Gan, Yun Li · 2023 to 2026
$5.4M
Spatiotemporal epigenomic and chromosomal architectural cell atlas of developing human brainsU01MH130995 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Chongyuan Luo, Mercedes Paredes · 2022 to 2026
$4.4M
Deciphering the genomic mechanisms underlying the physiology of human brain stimulationRF1NS126143 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE, LEGA, BRADLEY C · 2022 to 2024
$4.0M
From ion channels to graph theory in sensorimotor learningUF1NS115821 · NINDS · UNIVERSITY OF CHICAGO · PI KONOPKA, GENEVIEVE, MACLEAN, JASON NEIL · 2020 to 2020
$3.9M
Assessing Genomic, Regulatory and Transcriptional Variation at Single Nuclei Resolution in the Brains of Individuals with Autism Spectrum DisorderR01MH125516 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD KRIEGSTEIN, Tomasz Nowakowski · 2021 to 2026
$3.8M
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
Intramural NIH HHS ZIA NS003153NEI NIH HHS R01 EY033353NHGRI NIH HHS R01 HG011641NHGRI NIH HHS UM1 HG012076NIA NIH HHS P01 AG073082NIA NIH HHS R01 AG079291NIA NIH HHS RF1 AG079557NIA NIH HHS U01 AG072573NIDA NIH HHS R01 DA055823NIDA NIH HHS U01 DA052713NIGMS NIH HHS R35 GM142889NIMH NIH HHS R01 MH103517NIMH NIH HHS R01 MH125516NIMH NIH HHS R01 MH126481NIMH NIH HHS R01 MH128364NIMH NIH HHS U01 MH130962NINDS NIH HHS R01 NS123263NINDS NIH HHS R01 NS126143NINDS NIH HHS RF1 NS126143NINDS NIH HHS RF1 NS128908NINDS NIH HHS UF1 NS115821U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) HG011641U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH103517U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH126481U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH125516U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH128364U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) NS115821U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) NS126143Wellcome Trust
6 · The paper itself

Abstract

Over the past decade, single-cell genomics technologies have allowed scalable profiling of cell-type-specific features, which has substantially increased our ability to study cellular diversity and transcriptional programs in heterogeneous tissues. Yet our understanding of mechanisms of gene regulation or the rules that govern interactions between cell types is still limited. The advent of new computational pipelines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has created opportunities to explore two new axes of biological variation: cell-intrinsic regulation of cell states and expression programs and interactions between cells. Here, we summarize the most promising and robust technologies in these areas, discuss their strengths and limitations and discuss key computational approaches for analysis of these complex datasets. We highlight how data sharing and integration, documentation, visualization and benchmarking of results contribute to transparency, reproducibility, collaboration and democratization in neuroscience, and discuss needs and opportunities for future technology development and analysis.

Indexed as

GenomicsNeurosciencesSingle-Cell AnalysisAnimalsEpigenomicsHumans

Identifiers

PMID39627587
PMCPMC11999325

What OpenQuestion holds

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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.