Evidence map›Paper›PMID 34706222›Full record

ArticleImmunity2021

DNA methylation signatures reveal that distinct combinations of transcription factors specify human immune cell epigenetic identity.

Roshni Roy, Senthilkumar Ramamoorthy, Benjamin D Shapiro, Mary Kaileh, Dena Hernandez, Dimitra Sarantopoulou, Sampath Arepalli, Sören Boller, Amit Singh, Arsun Bektas and 20 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 3 institutions in 2 countries.

Roshni RoyLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Senthilkumar RamamoorthyMax Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
Benjamin D ShapiroDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Mary KailehLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Dena HernandezLaboratory of Neurogenetics, National Institute on Aging, Baltimore, MD, USA.
Dimitra SarantopoulouLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Sampath ArepalliLaboratory of Neurogenetics, National Institute on Aging, Baltimore, MD, USA.
Sören BollerMax Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
Amit SinghLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Arsun BektasTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Jaekwan KimLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Ann Zenobia MooreTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Julia McKelveyClinical Research Core, National Institute on Aging, Baltimore, MD, USA.
Linda ZukleyClinical Research Core, National Institute on Aging, Baltimore, MD, USA.
Cuong NguyenFlow Cytometry Unit, National Institute on Aging, Baltimore, MD, USA.
Tonya WallaceFlow Cytometry Unit, National Institute on Aging, Baltimore, MD, USA.
Christopher DunnFlow Cytometry Unit, National Institute on Aging, Baltimore, MD, USA.
Robert WerstoFlow Cytometry Unit, National Institute on Aging, Baltimore, MD, USA.
William WoodLaboratory of Genetics & Genomics, National Institute on Aging, Baltimore, MD, USA.
Yulan PiaoLaboratory of Genetics & Genomics, National Institute on Aging, Baltimore, MD, USA.
Kevin G BeckerLaboratory of Genetics & Genomics, National Institute on Aging, Baltimore, MD, USA.
Christopher ColettaLaboratory of Genetics & Genomics, National Institute on Aging, Baltimore, MD, USA.
Supriyo DeLaboratory of Genetics & Genomics, National Institute on Aging, Baltimore, MD, USA.
Jyoti Misra SenLaboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA.
Alexis BattleDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Nan-Ping WengLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
Rudolf GrosschedlMax Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Ranjan SenLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA. Electronic address: senranja@grc.nia.nih.gov.
National Institute on Aging · USMax Planck Institute of Immunobiology and Epigenetics · DEJohns Hopkins University · US

Funding

Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

Epigenetic reprogramming underlies specification of immune cell lineages, but patterns that uniquely define immune cell types and the mechanisms by which they are established remain unclear. Here, we identified lineage-specific DNA methylation signatures of six immune cell types from human peripheral blood and determined their relationship to other epigenetic and transcriptomic patterns. Sites of lineage-specific hypomethylation were associated with distinct combinations of transcription factors in each cell type. By contrast, sites of lineage-specific hypermethylation were restricted mostly to adaptive immune cells. PU.1 binding sites were associated with lineage-specific hypo- and hypermethylation in different cell types, suggesting that it regulates DNA methylation in a context-dependent manner. These observations indicate that innate and adaptive immune lineages are specified by distinct epigenetic mechanisms via combinatorial and context-dependent use of key transcription factors. The cell-specific epigenomics and transcriptional patterns identified serve as a foundation for future studies on immune dysregulation in diseases and aging.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomicsGene Expression RegulationImmunityTranscriptomeHumansImmune SystemTranscription FactorsTranscription FactorsDNA methylationepigeneticsgene expressionhuman immunityinnate cellslymphocytestranscription factors

Identifiers

PMID34706222
PMCPMC9190145
OpenAlexW3208014173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.