Evidence map›Paper›PMID 30679562›Full record

ArticleScientific reports2019

High Quality ATAC-Seq Data Recovered from Cryopreserved Breast Cell Lines and Tissue.

Saori Fujiwara, Songjoon Baek, Lyuba Varticovski, Sohyoung Kim, Gordon L Hager

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
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  6. Article
  7. ATAC-seq in Emerging Model Organisms: Challenges and Strategies.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Review
  8. Capturing Chromatin Organization by MNase-seq and ATAC-seq.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. ATAC-seq Optimization for Cancer Epigenetics Research.Journal of visualized experiments : JoVE · 2022
    Article
  16. Review
  17. Article
  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

5 authors at 2 institutions in 1 country.

Saori FujiwaraLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Songjoon BaekLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Lyuba VarticovskiLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Sohyoung KimLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Gordon L HagerLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. hagaerg@exchange.nih.gov.
National Cancer Institute · USNational Institutes of Health · US

Funding

Chromatin Structure and Gene ExpressionZIABC005450 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON L · 2009 to 2025
$35.2M
6 · The paper itself

Abstract

DNA accessibility to transcription regulators varies between cells and modulates gene expression patterns. Several "open" chromatin profiling methods that provide valuable insight into the activity of these regulatory regions have been developed. However, their application to clinical samples has been limited despite the discovery that the Analysis of Transposase-Accessible Chromatin followed by sequencing (ATAC-seq) method can be performed using fewer cells than other techniques. Obtaining fresh rather than stored samples and a lack of adequate optimization and quality controls are major barriers to ATAC's clinical implementation. Here, we describe an optimized ATAC protocol in which we varied nuclear preparation conditions and transposase concentrations and applied rigorous quality control measures before testing fresh, flash frozen, and cryopreserved breast cells and tissue. We obtained high quality data from small cell number. Furthermore, the genomic distribution of sequencing reads, their enrichment at transcription start sites, and transcription factor footprint analyses were similar between cryopreserved and fresh samples. This updated method is applicable to clinical samples, including cells from fine needle aspiration and tissues obtained via core needle biopsy or surgery. Chromatin accessibility analysis using patient samples will greatly expand the range of translational research and personalized medicine by identification of clinically-relevant epigenetic features.

Indexed as

AnimalsBreastBreast NeoplasmsCell NucleusChromatinChromatin Immunoprecipitation SequencingCryopreservationDNAFemaleHumansMCF-7 CellsMiceMice, Inbred C57BLChromatinDNA

Identifiers

PMID30679562
PMCPMC6345852
OpenAlexW2911954550

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.