Evidence map›Paper›PMID 30580963›Full record

ArticleCell2019

Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks.

Adam J Rubin, Kevin R Parker, Ansuman T Satpathy, Yanyan Qi, Beijing Wu, Alvin J Ong, Maxwell R Mumbach, Andrew L Ji, Daniel S Kim, Seung Woo Cho and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed
10.6field-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

207 citing papers in PubMed, 318 citations in OpenAlex.

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  12. Decoding neurodegeneration one cell at a time.The Journal of clinical investigation · 2026
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  20. Functional Genomics: Principles and Methods.Advances in experimental medicine and biology · 2026
    Review

147 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 at 2 institutions in 1 country.

Adam J RubinProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kevin R ParkerProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ansuman T SatpathyProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Yanyan QiProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Beijing WuProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Alvin J OngProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA.
Maxwell R MumbachProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Andrew L JiProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Daniel S KimProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Seung Woo ChoProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA.
Brian J ZarnegarProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Howard Y ChangProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: howchang@stanford.edu.
Paul A KhavariProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94304, USA. Electronic address: khavari@stanford.edu.
Stanford University · USChan Zuckerberg Initiative (United States) · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
REGULATORS OF EPIDERMAL GENE EXPRESSIONR01AR045192 · NIAMS · STANFORD UNIVERSITY · PI PAUL KHAVARI · 1999 to 2026
$9.9M
LncRNA mechanisms in cancerR35CA209919 · NCI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2016 to 2022
$6.4M
Howard Hughes Medical InstituteNCI NIH HHS R35 CA209919NHGRI NIH HHS P50 HG007735NHGRI NIH HHS T32 HG000044NIAMS NIH HHS R01 AR045192NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

Here, we present Perturb-ATAC, a method that combines multiplexed CRISPR interference or knockout with genome-wide chromatin accessibility profiling in single cells based on the simultaneous detection of CRISPR guide RNAs and open chromatin sites by assay of transposase-accessible chromatin with sequencing (ATAC-seq). We applied Perturb-ATAC to transcription factors (TFs), chromatin-modifying factors, and noncoding RNAs (ncRNAs) in ∼4,300 single cells, encompassing more than 63 genotype-phenotype relationships. Perturb-ATAC in human B lymphocytes uncovered regulators of chromatin accessibility, TF occupancy, and nucleosome positioning and identified a hierarchy of TFs that govern B cell state, variation, and disease-associated cis-regulatory elements. Perturb-ATAC in primary human epidermal cells revealed three sequential modules of cis-elements that specify keratinocyte fate. Combinatorial deletion of all pairs of these TFs uncovered their epistatic relationships and highlighted genomic co-localization as a basis for synergistic interactions. Thus, Perturb-ATAC is a powerful strategy to dissect gene regulatory networks in development and disease.

Indexed as

ChromatinChromatin Assembly and DisassemblyClustered Regularly Interspaced Short Palindromic RepeatsEpigenomicsGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASingle-Cell AnalysisTranscription FactorsChromatinTranscription FactorsATAC-seqchromatin accessibilityCRISPRepigenomicspooled screenssingle-cell genomics

Identifiers

PMID30580963
PMCPMC6329648
OpenAlexW2950195808

What OpenQuestion holds

Textmetadata
LicenceTDM
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.