Evidence map›Paper›PMID 34016988›Full record

ArticleNature communications2021

High-throughput single-cell chromatin accessibility CRISPR screens enable unbiased identification of regulatory networks in cancer.

Sarah E Pierce, Jeffrey M Granja, William J Greenleaf

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Decoding neurodegeneration one cell at a time.The Journal of clinical investigation · 2026
    Review
  10. Article
  11. Article
  12. Retinal organoids mirror CRISPR-Cas9 gene editing efficiency observedMolecular therapy. Methods & clinical development · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Data navigation on the ENCODE portal.Nature communications · 2025
    Article
  19. Article
  20. Review

34 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

3 authors.

Sarah E Pierce *Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey M Granja *Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-8402-3442
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. wjg@stanford.edu.ORCID 0000-0003-1409-3095

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
NCI NIH HHS T32 CA009302NHGRI NIH HHS P50 HG007735NHGRI NIH HHS RM1 HG007735NHGRI NIH HHS UM1 HG009436NHGRI NIH HHS UM1 HG009442NIAID NIH HHS U19 AI057266
6 · The paper itself

Abstract

Chromatin accessibility profiling can identify putative regulatory regions genome wide; however, pooled single-cell methods for assessing the effects of regulatory perturbations on accessibility are limited. Here, we report a modified droplet-based single-cell ATAC-seq protocol for perturbing and evaluating dynamic single-cell epigenetic states. This method (Spear-ATAC) enables simultaneous read-out of chromatin accessibility profiles and integrated sgRNA spacer sequences from thousands of individual cells at once. Spear-ATAC profiling of 104,592 cells representing 414 sgRNA knock-down populations reveals the temporal dynamics of epigenetic responses to regulatory perturbations in cancer cells and the associations between transcription factor binding profiles.

Indexed as

Chromatin Immunoprecipitation SequencingBinding SitesCell Line, TumorChromatinCRISPR-Cas SystemsEpigenesis, GeneticEpigenomicsGene Expression Regulation, NeoplasticGene Knockdown TechniquesGene Regulatory NetworksHigh-Throughput Screening AssaysHumansNeoplasmsRNA, Guide, CRISPR-Cas SystemsSingle-Cell AnalysisTranscription FactorsChromatinRNA, Guide, CRISPR-Cas SystemsTranscription Factors

Identifiers

PMID34016988
PMCPMC8137922

What OpenQuestion holds

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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.