Evidence map›Paper›PMID 33581341›Full record

ReviewGenomics, proteomics & bioinformatics2021

Profiling Chromatin Accessibility at Single-cell Resolution.

Sarthak Sinha, Ansuman T Satpathy, Weiqiang Zhou, Hongkai Ji, Jo A Stratton, Arzina Jaffer, Nizar Bahlis, Sorana Morrissy, Jeff A Biernaskie

Open access · goldAbstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Computational Analyses and Challenges of Single-cell ATAC-seq.Genomics, proteomics & bioinformatics · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. The chromatin accessibility landscape during early maize seed development.The Plant journal : for cell and molecular biology · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Computational Methods for Single-cell DNA Methylome Analysis.Genomics, proteomics & bioinformatics · 2023
    Review
  18. Article
  19. Article
  20. Article
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

9 authors at 3 institutions in 2 countries.

Sarthak SinhaDepartment of Comparative Biology & Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada. Electronic address: sarthak.sinha1@ucalgary.ca.
Ansuman T SatpathyDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Weiqiang ZhouDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Hongkai JiDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Jo A StrattonDepartment of Comparative Biology & Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB T2N 4N1, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada.
Arzina JafferDepartment of Comparative Biology & Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
Nizar BahlisArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Sorana MorrissyAlberta Children's Hospital Research Institute, University of Calgary, Calgary, AB T2N 4N1, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4Z6, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
Jeff A BiernaskieDepartment of Comparative Biology & Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB T2N 4N1, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada. Electronic address: jeff.biernaskie@ucalgary.ca.
University of Calgary · CAJohns Hopkins University · USStanford University · US

Funding

Big Data Methods for Decoding Gene RegulationR01HG009518 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JI, HONGKAI · 2018 to 2021
$1.7M
Computational tools for regulome mapping using single-cell genomic dataR01HG010889 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JI, HONGKAI · 2019 to 2022
$1.6M
Single cell epigenomics in cancer immunity and immunotherapyK08CA230188 · NCI · STANFORD UNIVERSITY · PI SATPATHY, ANSUMAN · 2018 to 2020
$448k
CIHR PJT-401394NCI NIH HHS K08 CA230188NHGRI NIH HHS R01 HG009518NHGRI NIH HHS R01 HG010889
6 · The paper itself

Abstract

How distinct transcriptional programs are enacted to generate cellular heterogeneity and plasticity, and enable complex fate decisions are important open questions. One key regulator is the cell's epigenome state that drives distinct transcriptional programs by regulating chromatin accessibility. Genome-wide chromatin accessibility measurements can impart insights into regulatory sequences (in)accessible to DNA-binding proteins at a single-cell resolution. This review outlines molecular methods and bioinformatic tools for capturing cell-to-cell chromatin variation using single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) in a scalable fashion. It also covers joint profiling of chromatin with transcriptome/proteome measurements, computational strategies to integrate multi-omic measurements, and predictive bioinformatic tools to infer chromatin accessibility from single-cell transcriptomic datasets. Methodological refinements that increase power for cell discovery through robust chromatin coverage and integrate measurements from multiple modalities will further expand our understanding of gene regulation during homeostasis and disease.

Indexed as

ChromatinTransposasesComputational BiologyGenomeSingle-Cell AnalysisTranscriptomeChromatinTransposasesCis-regulatory elementsEpigeneticsGene regulationSingle-cell ATAC-seqSingle-cell multi-omics

Identifiers

PMID33581341
PMCPMC8602754
OpenAlexW3126995294

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.