Evidence map›Paper›PMID 25953818›Full record

ArticleScience (New York, N.Y.)2015

Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

Darren A Cusanovich, Riza Daza, Andrew Adey, Hannah A Pliner, Lena Christiansen, Kevin L Gunderson, Frank J Steemers, Cole Trapnell, Jay Shendure

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 770 papers.

0numbers the graph read from it
0cells of the map it votes in
770citing 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

770 citing papers in PubMed.

  1. Trial
  2. Single-cell epigenomics of colorectal cancer.Experimental & molecular medicine · 2026
    Review
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Unifying multimodal single-cell data with a mixture-of-expertsbioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

710 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Darren A CusanovichUniversity of Washington, Department of Genome Sciences, Seattle, WA, USA.
Riza DazaUniversity of Washington, Department of Genome Sciences, Seattle, WA, USA.
Andrew AdeyOregon Health and Science University, Department of Molecular and Medical Genetics, Portland, OR, USA.
Hannah A PlinerUniversity of Washington, Department of Genome Sciences, Seattle, WA, USA.
Lena ChristiansenIllumina, Inc., Advanced Research Group, San Diego, CA, USA.
Kevin L GundersonIllumina, Inc., Advanced Research Group, San Diego, CA, USA.
Frank J SteemersIllumina, Inc., Advanced Research Group, San Diego, CA, USA.
Cole TrapnellUniversity of Washington, Department of Genome Sciences, Seattle, WA, USA.
Jay ShendureUniversity of Washington, Department of Genome Sciences, Seattle, WA, USA. shendure@uw.edu.

Funding

Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Massively Parallel Contiguity MappingR01HG006283 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2011 to 2016
$3.4M
NCCDPHP CDC HHS 1DP1HG007811NHGRI NIH HHS DP1 HG007811NHGRI NIH HHS R01 HG006283
6 · The paper itself

Abstract

Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated before biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from more than 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas.

Indexed as

Epigenesis, GeneticChromatinHEK293 CellsHL-60 CellsHumansSingle-Cell AnalysisChromatin

Identifiers

PMID25953818
PMCPMC4836442

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.