Evidence map›Paper›PMID 27346425›Full record

ArticleNature communications2016

Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks.

André F Rendeiro, Christian Schmidl, Jonathan C Strefford, Renata Walewska, Zadie Davis, Matthias Farlik, David Oscier, Christoph Bock

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
15.7field-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

84 citing papers in PubMed, 154 citations in OpenAlex.

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  20. Immunosenescence: molecular mechanisms and diseases.Signal transduction and targeted therapy · 2023
    Review

24 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

8 authors at 3 institutions in 3 countries.

André F RendeiroCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria.
Christian SchmidlCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria.
Jonathan C StreffordFaculty of Medicine, Cancer Sciences, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-0972-2881
Renata WalewskaDepartment of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK.
Zadie DavisDepartment of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK.
Matthias FarlikCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria.
David OscierDepartment of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK.
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria.ORCID 0000-0001-6091-3088
Austrian Academy of Sciences · ATRoyal Bournemouth Hospital · GBUniversity of Southampton · GB

Funding

Austrian Science Fund FWF I 1575Austrian Science Fund FWF I 1626
6 · The paper itself

Abstract

Chronic lymphocytic leukaemia (CLL) is characterized by substantial clinical heterogeneity, despite relatively few genetic alterations. To provide a basis for studying epigenome deregulation in CLL, here we present genome-wide chromatin accessibility maps for 88 CLL samples from 55 patients measured by the ATAC-seq assay. We also performed ChIPmentation and RNA-seq profiling for ten representative samples. Based on the resulting data set, we devised and applied a bioinformatic method that links chromatin profiles to clinical annotations. Our analysis identified sample-specific variation on top of a shared core of CLL regulatory regions. IGHV mutation status-which distinguishes the two major subtypes of CLL-was accurately predicted by the chromatin profiles and gene regulatory networks inferred for IGHV-mutated versus IGHV-unmutated samples identified characteristic differences between these two disease subtypes. In summary, we discovered widespread heterogeneity in the chromatin landscape of CLL, established a community resource for studying epigenome deregulation in leukaemia and demonstrated the feasibility of large-scale chromatin accessibility mapping in cancer cohorts and clinical research.

Indexed as

ChromatinEpigenomicsGene Regulatory NetworksTranscription, GeneticGene Expression Regulation, NeoplasticHumansLeukemia, Lymphocytic, Chronic, B-CellMachine LearningSequence Analysis, RNAChromatin

Identifiers

PMID27346425
PMCPMC5494194
OpenAlexW2470513050

What OpenQuestion holds

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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.