Evidence map›Paper›PMID 36204155›Full record

ArticleCell genomics2022

Functional inference of gene regulation using single-cell multi-omics.

Vinay K Kartha, Fabiana M Duarte, Yan Hu, Sai Ma, Jennifer G Chew, Caleb A Lareau, Andrew Earl, Zach D Burkett, Andrew S Kohlway, Ronald Lebofsky and 1 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 173 papers.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed
18.1field-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

173 citing papers in PubMed, 219 citations in OpenAlex.

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  8. bioRxiv : the preprint server for biology · 2026
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113 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

11 authors at 3 institutions in 1 country.

Vinay K KarthaDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Fabiana M DuarteDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Yan HuDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Sai MaDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Jennifer G ChewDigital Biology Group, Bio-Rad, Pleasanton, CA 94588, USA.
Caleb A LareauDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Andrew EarlDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Zach D BurkettDigital Biology Group, Bio-Rad, Pleasanton, CA 94588, USA.
Andrew S KohlwayDigital Biology Group, Bio-Rad, Pleasanton, CA 94588, USA.
Ronald LebofskyDigital Biology Group, Bio-Rad, Pleasanton, CA 94588, USA.
Jason D BuenrostroDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
Broad Institute · USBio-Rad (United States) · USStanford University · US

Funding

Single-cell epigenomic and cellular plasticityDP2HL151353 · NHLBI · HARVARD UNIVERSITY · PI BUENROSTRO, JASON DANIEL · 2019 to 2019
$2.5M
NHLBI NIH HHS DP2 HL151353
6 · The paper itself

Abstract

Cells require coordinated control over gene expression when responding to environmental stimuli. Here we apply scATAC-seq and single-cell RNA sequencing (scRNA-seq) in resting and stimulated human blood cells. Collectively, we generate ~91,000 single-cell profiles, allowing us to probe the cis-regulatory landscape of the immunological response across cell types, stimuli, and time. Advancing tools to integrate multi-omics data, we develop functional inference of gene regulation (FigR), a framework to computationally pair scA-TAC-seq with scRNA-seq cells, connect distal cis-regulatory elements to genes, and infer gene-regulatory networks (GRNs) to identify candidate transcription factor (TF) regulators. Utilizing these paired multi-omics data, we define domains of regulatory chromatin (DORCs) of immune stimulation and find that cells alter chromatin accessibility and gene expression at timescales of minutes. Construction of the stimulation GRN elucidates TF activity at disease-associated DORCs. Overall, FigR enables elucidation of regulatory interactions across single-cell data, providing new opportunities to understand the function of cells within tissues.

Identifiers

PMID36204155
PMCPMC9534481
OpenAlexW4289835859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.