Evidence map›Paper›PMID 32042188›Full record

ArticleNature methods2020

Long-range single-molecule mapping of chromatin accessibility in eukaryotes.

Zohar Shipony, Georgi K Marinov, Matthew P Swaffer, Nicholas A Sinnott-Armstrong, Jan M Skotheim, Anshul Kundaje, William J Greenleaf

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Review
  2. Decoding chromosome organization using proximity labeling and long-read sequencing.Journal of genetics and genomics = Yi chuan xue bao · 2026
    Article
  3. Review
  4. Article
  5. [Applications and Challenges of Deep Learning in Human Genome Research].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A haplotype-resolved view of human gene regulation.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

38 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

7 authors.

Zohar Shipony *Department of Genetics, Stanford University, Stanford, CA, USA.
Georgi K Marinov *Department of Genetics, Stanford University, Stanford, CA, USA.
Matthew P SwafferDepartment of Biology, Stanford University, Stanford, CA, USA.
Nicholas A Sinnott-ArmstrongDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4490-0601
Jan M SkotheimDepartment of Biology, Stanford University, Stanford, CA, USA.
Anshul KundajeDepartment of Genetics, Stanford University, Stanford, CA, USA.
William J GreenleafDepartment of Genetics, Stanford University, Stanford, CA, USA. wjg@stanford.edu.ORCID http://orcid.org/0000-0003-1409-3095

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
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
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Computer ClusterS10OD021763 · OD · STANFORD UNIVERSITY · PI JI, HANLEE P · 2016 to 2016
$481k
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG008140NHGRI NIH HHS RM1 HG007735NHGRI NIH HHS U01 HG009431NHGRI NIH HHS UM1 HG009436NHGRI NIH HHS UM1 HG009442NIAID NIH HHS U19 AI057266NIAID NIH HHS U19 AI090023
6 · The paper itself

Abstract

Mapping open chromatin regions has emerged as a widely used tool for identifying active regulatory elements in eukaryotes. However, existing approaches, limited by reliance on DNA fragmentation and short-read sequencing, cannot provide information about large-scale chromatin states or reveal coordination between the states of distal regulatory elements. We have developed a method for profiling the accessibility of individual chromatin fibers, a single-molecule long-read accessible chromatin mapping sequencing assay (SMAC-seq), enabling the simultaneous, high-resolution, single-molecule assessment of chromatin states at multikilobase length scales. Our strategy is based on combining the preferential methylation of open chromatin regions by DNA methyltransferases with low sequence specificity, in this case EcoGII, an N

Indexed as

DNA FragmentationAdenosineCell LineChromatinChromatin ImmunoprecipitationCpG IslandsDNA MethylationHigh-Throughput Nucleotide SequencingHumansMethylationMethyltransferasesNucleosomesPromoter Regions, GeneticProtein BindingSaccharomyces cerevisiaeAdenosineChromatinMethyltransferasesN-methyladenosineNucleosomes

Identifiers

PMID32042188
PMCPMC7968351

What OpenQuestion holds

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Registered trials

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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.