Evidence map›Paper›PMID 26605532›Full record

ArticleNature2015

Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples.

Wenfei Jin, Qingsong Tang, Mimi Wan, Kairong Cui, Yi Zhang, Gang Ren, Bing Ni, Jeffrey Sklar, Teresa M Przytycka, Richard Childs and 2 more

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 214 papers.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed
19.6field-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

214 citing papers in PubMed, 347 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Epigenetic remodeling during early embryonic development.Frontiers in cell and developmental biology · 2026
    Review
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  10. aBIOTECH · 2025
    Review
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Wenfei JinSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Qingsong TangSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Mimi WanDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
Kairong CuiSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Yi ZhangSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Gang RenSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Bing NiInstitute of Immunology, Third Military Medical University of the People's Liberation Army, Chongqing 400038, China.
Jeffrey SklarDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
Teresa M PrzytyckaComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892, USA.
Richard ChildsHematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
David LevensLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Keji ZhaoSystems Biology Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
National Institutes of Health · USNational Heart Lung and Blood Institute · USYale University · USArmy Medical University · CNNational Cancer Institute · USNational Center for Biotechnology Information · US

Funding

Allogeneic Immunotherapy for cancer and nonmalignant hematological disordersZIAHL002345 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHILDS, RICHARD · 2009 to 2025
$53.3M
Combinatorial and graph theoretical approach to systems biology and mol. evo.ZIALM200887 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PRZYTYCKA, TERESA · 2009 to 2025
$24.4M
Genome-wide mapping of histone modificationsZIAHL005801 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$24.0M
DNA Sequencing Core (DSC)ZICHL006058 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHU, JUN · 2010 to 2016
$16.6M
Mechanisms of transcription factor integration at the c-myc promoterZIASC009144 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI LEVENS, DAVID L. · 2009 to 2025
$9.5M
Genome-wide mapping of histone modificationsZ01HL005801 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2003 to 2008
$5.2M
Intramural NIH HHS Z01 HL005801
6 · The paper itself

Abstract

DNase I hypersensitive sites (DHSs) provide important information on the presence of transcriptional regulatory elements and the state of chromatin in mammalian cells. Conventional DNase sequencing (DNase-seq) for genome-wide DHSs profiling is limited by the requirement of millions of cells. Here we report an ultrasensitive strategy, called single-cell DNase sequencing (scDNase-seq) for detection of genome-wide DHSs in single cells. We show that DHS patterns at the single-cell level are highly reproducible among individual cells. Among different single cells, highly expressed gene promoters and enhancers associated with multiple active histone modifications display constitutive DHS whereas chromatin regions with fewer histone modifications exhibit high variation of DHS. Furthermore, the single-cell DHSs predict enhancers that regulate cell-specific gene expression programs and the cell-to-cell variations of DHS are predictive of gene expression. Finally, we apply scDNase-seq to pools of tumour cells and pools of normal cells, dissected from formalin-fixed paraffin-embedded tissue slides from patients with thyroid cancer, and detect thousands of tumour-specific DHSs. Many of these DHSs are associated with promoters and enhancers critically involved in cancer development. Analysis of the DHS sequences uncovers one mutation (chr18: 52417839G>C) in the tumour cells of a patient with follicular thyroid carcinoma, which affects the binding of the tumour suppressor protein p53 and correlates with decreased expression of its target gene TXNL1. In conclusion, scDNase-seq can reliably detect DHSs in single cells, greatly extending the range of applications of DHS analysis both for basic and for translational research, and may provide critical information for personalized medicine.

Indexed as

FormaldehydeParaffin EmbeddingTissue FixationAdenocarcinoma, FollicularAnimalsChromatinDeoxyribonuclease IEnhancer Elements, GeneticGene Expression ProfilingGenomeHistonesHumansMiceMutationNIH 3T3 CellsPromoter Regions, GeneticChromatinDeoxyribonuclease IFormaldehydeHistonesThioredoxinsTP53 protein, humanTumor Suppressor Protein p53TXNL1 protein, human

Identifiers

PMID26605532
PMCPMC4697938
OpenAlexW2174049393

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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.