Evidence map›Paper›PMID 26083756›Full record

ArticleNature2015

Single-cell chromatin accessibility reveals principles of regulatory variation.

Jason D Buenrostro, Beijing Wu, Ulrike M Litzenburger, Dave Ruff, Michael L Gonzales, Michael P Snyder, Howard Y Chang, William J Greenleaf

Abstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,404 papers.

0numbers the graph read from it
0cells of the map it votes in
1,404citing 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

1,404 citing papers in PubMed.

  1. Review
  2. Article
  3. Single-cell epigenomics of colorectal cancer.Experimental & molecular medicine · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Multiscale modeling primer: Focus on chromatin and epigenetics.The Journal of biological chemistry · 2026
    Review
  15. Article
  16. DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator.Interdisciplinary sciences, computational life sciences · 2026
    Article
  17. Review
  18. Article
  19. Article
  20. Article

1,344 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jason D Buenrostro1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2] Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA.
Beijing WuDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Ulrike M LitzenburgerProgram in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA.
Dave RuffFluidigm Corporation, South San Francisco, California 94080, USA.
Michael L GonzalesFluidigm Corporation, South San Francisco, California 94080, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Howard Y ChangProgram in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA.
William J Greenleaf1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2] Department of Applied Physics, Stanford University, Stanford, California 94025, USA.

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Production Center for Global Mapping of Regulatory ElementsU54HG004558 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2007 to 2011
$15.4M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
GENETICS TRAINING PROGRAM FOR PHD CANDIDATEST32GM007790 · NIGMS · STANFORD UNIVERSITY · PI BRUNET, ANNE, KINGSLEY, DAVID M · 1985 to 2020
$12.8M
Stanford Technology Accelerating Medicines Partnership CenterUH2AR067676 · NIAMS · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H, UTZ, PAUL JOSEPH · 2014 to 2020
$2.6M
Howard Hughes Medical InstituteNHGRI NIH HHS 5U54HG00455805NHGRI NIH HHS P50 HG007735NHGRI NIH HHS P50HG007735NHGRI NIH HHS T32 HG000044NHGRI NIH HHS T32HG000044NHGRI NIH HHS U54 HG004558NIAID NIH HHS U19 AI057266NIAID NIH HHS U19AI057266NIAMS NIH HHS UH2 AR067676
6 · The paper itself

Abstract

Cell-to-cell variation is a universal feature of life that affects a wide range of biological phenomena, from developmental plasticity to tumour heterogeneity. Although recent advances have improved our ability to document cellular phenotypic variation, the fundamental mechanisms that generate variability from identical DNA sequences remain elusive. Here we reveal the landscape and principles of mammalian DNA regulatory variation by developing a robust method for mapping the accessible genome of individual cells by assay for transposase-accessible chromatin using sequencing (ATAC-seq) integrated into a programmable microfluidics platform. Single-cell ATAC-seq (scATAC-seq) maps from hundreds of single cells in aggregate closely resemble accessibility profiles from tens of millions of cells and provide insights into cell-to-cell variation. Accessibility variance is systematically associated with specific trans-factors and cis-elements, and we discover combinations of trans-factors associated with either induction or suppression of cell-to-cell variability. We further identify sets of trans-factors associated with cell-type-specific accessibility variance across eight cell types. Targeted perturbations of cell cycle or transcription factor signalling evoke stimulus-specific changes in this observed variability. The pattern of accessibility variation in cis across the genome recapitulates chromosome compartments de novo, linking single-cell accessibility variation to three-dimensional genome organization. Single-cell analysis of DNA accessibility provides new insight into cellular variation of the 'regulome'.

Indexed as

EpigenomicsAnimalsCell CompartmentationCell CycleCell LineCellsChromatinDNAEpigenesis, GeneticGenome, HumanHumansMicrofluidicsSignal TransductionSingle-Cell AnalysisTranscription FactorsTransposasesChromatinDNATranscription FactorsTransposases

Identifiers

PMID26083756
PMCPMC4685948

What OpenQuestion holds

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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.