Evidence map›Paper›PMID 37739938›Full record

ArticleNature communications2023

Epigenomic analysis of formalin-fixed paraffin-embedded samples by CUT&Tag.

Steven Henikoff, Jorja G Henikoff, Kami Ahmad, Ronald M Paranal, Derek H Janssens, Zachary R Russell, Frank Szulzewsky, Sita Kugel, Eric C Holland

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
    Article
  3. Spatially tunable multiomic sequencing using light-driven combinatorial barcoding of molecules in tissues.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  6. Review
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  13. Review
  14. Total whole-arm chromosome losses predict malignancy in human cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Global modulation of gene expression and transcriptome size in aneuploid combinations of maize.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
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  19. Review
  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

9 authors at 2 institutions in 2 countries.

Steven HenikoffBasic Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. steveh@fredhutch.org.ORCID http://orcid.org/0000-0002-7621-8685
Jorja G HenikoffBasic Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7670-5101
Kami AhmadBasic Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8572-6182
Ronald M ParanalHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4263-4621
Derek H JanssensBasic Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1079-9525
Zachary R RussellHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0009-0003-9659-6389
Frank SzulzewskyHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-5710-9590
Sita KugelHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Eric C HollandHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3792-7120
Fred Hutch Cancer Center · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZA

Funding

TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancerR35CA253119 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric C. Holland · 2021 to 2026
$6.5M
Epigenomic profiling of complex tissues with single-cell CUT&RUNR01HG010492 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HENIKOFF, STEVEN · 2019 to 2023
$3.5M
NCI NIH HHS R35 CA253119NCI NIH HHS T32 CA009515NHGRI NIH HHS R01 HG010492
6 · The paper itself

Abstract

For more than a century, formalin-fixed paraffin-embedded (FFPE) sample preparation has been the preferred method for long-term preservation of biological material. However, the use of FFPE samples for epigenomic studies has been difficult because of chromatin damage from long exposure to high concentrations of formaldehyde. Previously, we introduced Cleavage Under Targeted Accessible Chromatin (CUTAC), an antibody-targeted chromatin accessibility mapping protocol based on CUT&Tag. Here we show that simple modifications of our CUTAC protocol either in single tubes or directly on slides produce high-resolution maps of paused RNA Polymerase II at enhancers and promoters using FFPE samples. We find that transcriptional regulatory element differences produced by FFPE-CUTAC distinguish between mouse brain tumors and identify and map regulatory element markers with high confidence and precision, including microRNAs not detectable by RNA-seq. Our simple workflows make possible affordable epigenomic profiling of archived biological samples for biomarker identification, clinical applications and retrospective studies.

Indexed as

ChromatinEpigenomicsAnimalsFormaldehydeMiceParaffin EmbeddingRetrospective StudiesChromatinFormaldehyde

Identifiers

PMID37739938
PMCPMC10516967
OpenAlexW4386951833

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.