Evidence map›Paper›PMID 34534335›Full record

ArticleNucleic acids research2021

FACT-seq: profiling histone modifications in formalin-fixed paraffin-embedded samples with low cell numbers.

Linxuan Zhao, Pengwei Xing, Vamsi Krishna Polavarapu, Miao Zhao, Blanca Valero-Martínez, Yonglong Dang, Nagaprathyusha Maturi, Lucy Mathot, Inês Neves, Irem Yildirim and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  5. Bioinformatics and biology insights · 2025
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  14. The Current State of Chromatin Immunoprecipitation (ChIP) from FFPE Tissues.International journal of molecular sciences · 2022
    Review
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

14 authors at 1 institution in 1 country.

Linxuan ZhaoDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.ORCID 0000-0002-8883-5656
Pengwei XingDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Vamsi Krishna PolavarapuDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Miao ZhaoDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Blanca Valero-MartínezDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Yonglong DangDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Nagaprathyusha MaturiDepartment of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Rudbeck Laboratory, SE-75185 Uppsala, Sweden.
Lucy MathotDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Inês NevesDepartment of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Rudbeck Laboratory, SE-75185 Uppsala, Sweden.
Irem YildirimDepartment of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Rudbeck Laboratory, SE-75185 Uppsala, Sweden.
Fredrik Johansson SwartlingDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Tobias SjöblomDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.
Lene UhrbomDepartment of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Rudbeck Laboratory, SE-75185 Uppsala, Sweden.
Xingqi ChenDepartment of Immunology, Genetics and Pathology, Uppsala University, 75108 Uppsala, Sweden.ORCID 0000-0002-5657-2839
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of biopsies in both basic research and translational cancer studies are preserved in the format of archived formalin-fixed paraffin-embedded (FFPE) samples. Profiling histone modifications in archived FFPE tissues is critically important to understand gene regulation in human disease. The required input for current genome-wide histone modification profiling studies from FFPE samples is either 10-20 tissue sections or whole tissue blocks, which prevents better resolved analyses. But it is desirable to consume a minimal amount of FFPE tissue sections in the analysis as clinical tissues of interest are limited. Here, we present FFPE tissue with antibody-guided chromatin tagmentation with sequencing (FACT-seq), the first highly sensitive method to efficiently profile histone modifications in FFPE tissues by combining a novel fusion protein of hyperactive Tn5 transposase and protein A (T7-pA-Tn5) transposition and T7 in vitro transcription. FACT-seq generates high-quality chromatin profiles from different histone modifications with low number of FFPE nuclei. We proved a very small piece of FFPE tissue section containing ∼4000 nuclei is sufficient to decode H3K27ac modifications with FACT-seq. H3K27ac FACT-seq revealed disease-specific super enhancers in the archived FFPE human colorectal and human glioblastoma cancer tissue. In summary, FACT-seq allows decoding the histone modifications in archival FFPE tissues with high sensitivity and help researchers to better understand epigenetic regulation in cancer and human disease.

Indexed as

Epigenesis, GeneticAnimalsCell LineChromatinHistonesHumansMiceProtein Processing, Post-TranslationalStaphylococcal Protein ATransposasesChromatinHistonesStaphylococcal Protein ATn5 transposaseTransposases

Identifiers

PMID34534335
PMCPMC8643707
OpenAlexW3201022833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.