Evidence map›Paper›PMID 37824614›Full record

ArticleScience advances2023

Multi-omic profiling of the developing human cerebral cortex at the single-cell level.

Kaiyi Zhu, Jaroslav Bendl, Samir Rahman, James M Vicari, Claire Coleman, Tereza Clarence, Ovaun Latouche, Nadejda M Tsankova, Aiqun Li, Kristen J Brennand and 4 more

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

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  17. The Fronto-Temporal Cortex Has Increased Subcortical Connectivity In Utero and Plasticity in Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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22 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

14 authors.

Kaiyi ZhuCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-0111-0848
Jaroslav BendlCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-9989-2720
Samir RahmanCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-2744-0965
James M VicariCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-4633-9961
Claire ColemanCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Tereza ClarenceCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-0099-2797
Ovaun LatoucheCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Nadejda M TsankovaDepartment of Pathology and Laboratory Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Aiqun LiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-1485-5352
Kristen J BrennandDepartments of Psychiatry and Genetics, Division of Molecular Psychiatry, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511, USA.ORCID 0000-0003-0993-5956
Donghoon LeeCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-0453-6059
Guo-Cheng YuanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-2283-4714
John F FullardCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-9874-2907
Panos RoussosCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-4640-6239

Funding

Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer DiseaseR01AG067025 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FINKBEINER, STEVEN M, HAROUTUNIAN, VAHRAM · 2019 to 2023
$11.8M
Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Understanding the protective and neuroinflammatory role of human brain immune cells in Alzheimer DiseaseR01AG065582 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, ROUSSOS, PANAGIOTIS · 2020 to 2024
$9.9M
GENETICS AND GENOMICS OF HUMAN DISEASET32HD007149 · NICHD · YALE UNIVERSITY · PI James P Noonan · 1985 to 2026
$8.2M
Molecular Profiling of SchizophreniaR01MH110921 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHESS, ANDREW J, ROUSSOS, PANAGIOTIS · 2016 to 2020
$6.9M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
A regulome and transcriptome atlas of fetal and adult human neurogenesisRF1MH128970 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, LONG, HOF, PATRICK R · 2021 to 2021
$5.5M
Multiethnic genomic epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk lociR01MH125246 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2021 to 2025
$5.0M
Integrated Multiscale Networks in SchizophreniaR01MH109897 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRENNAND, KRISTEN JENNIFER, ROUSSOS, PANAGIOTIS · 2016 to 2020
$3.0M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NIA NIH HHS R01 AG050986NIA NIH HHS R01 AG065582NIA NIH HHS R01 AG067025NICHD NIH HHS T32 HD007149NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS R01 MH109897NIMH NIH HHS R01 MH110921NIMH NIH HHS R01 MH125246NIMH NIH HHS RF1 MH128970NIMH NIH HHS U01 MH116442
6 · The paper itself

Abstract

The cellular complexity of the human brain is established via dynamic changes in gene expression throughout development that is mediated, in part, by the spatiotemporal activity of cis-regulatory elements (CREs). We simultaneously profiled gene expression and chromatin accessibility in 45,549 cortical nuclei across six broad developmental time points from fetus to adult. We identified cell type-specific domains in which chromatin accessibility is highly correlated with gene expression. Differentiation pseudotime trajectory analysis indicates that chromatin accessibility at CREs precedes transcription and that dynamic changes in chromatin structure play a critical role in neuronal lineage commitment. In addition, we mapped cell type-specific and temporally specific genetic loci implicated in neuropsychiatric traits, including schizophrenia and bipolar disorder. Together, our results describe the complex regulation of cell composition at critical stages in lineage determination and shed light on the impact of spatiotemporal alterations in gene expression on neuropsychiatric disease.

Indexed as

ChromatinMultiomicsBrainCell DifferentiationHumansRegulatory Sequences, Nucleic AcidChromatin

Identifiers

PMID37824614
PMCPMC10569714

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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.