Evidence map›Paper›PMID 37797047›Full record

ArticlePloS one2023

Mouse methylation profiles for leukocyte cell types, and estimation of leukocyte fractions in inflamed gastrointestinal DNA samples.

Kazuhiro Nishiyama, Hitomi Nishinakamura, Hideyuki Takeshima, Liu Yuyu, Chihiro Takeuchi, Naoko Hattori, Haruna Takeda, Satoshi Yamashita, Mika Wakabayashi, Kotomi Sato and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 70% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 4 institutions in 1 country.

Kazuhiro NishiyamaDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Hitomi NishinakamuraDivision of Cancer Immunology, Research Institute/Exploratory Oncology Research & Clinical Trial Center (EPOC), National Cancer Center, Tokyo, Chiba, Japan.
Hideyuki TakeshimaDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Liu YuyuDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Chihiro TakeuchiDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.ORCID 0000-0002-2746-9189
Naoko HattoriDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Haruna TakedaLaboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Satoshi YamashitaDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Mika WakabayashiDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.
Kotomi SatoLaboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Kazutaka ObamaDivision of Surgery, University of Kyoto, Kyoto, Japan.
Toshikazu UshijimaDivision of Epigenomics, National Cancer Center Research Institute, Tokyo, Japan.ORCID 0000-0003-3405-7817
Hoshi University · JPKyoto University · JPChiba Cancer Center · JPMaebashi Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise analysis of tissue DNA and RNA samples is often hampered by contaminating non-target cells whose amounts are highly variable. DNA methylation profiles are specific to cell types, and can be utilized for assessment of the fraction of such contaminating non-target cells. Here, we aimed 1) to identify methylation profiles specific to multiple types of mouse leukocytes, and 2) to estimate the fraction of leukocytes infiltrating inflamed tissues using DNA samples. First, genome-wide DNA methylation analysis was conducted for three myeloid-lineage cells and four lymphoid-lineage cells isolated by fluorescence-activated cell sorting after magnetic-activated cell sorting from leukocytes in the spleen. Clustering analysis using CpG sites within enhancers separated the three myeloid-lineage cells and four lymphoid-lineage cells while that using promoter CpG islands (TSS200CGIs) did not. Among the 266,108 CpG sites analyzed, one CpG site was specifically hypermethylated (β value ≥ 0.7) in B cells, and four, seven, 183, and 34 CpG sites were specifically hypomethylated (β value < 0.2) in CD4+ T cells, CD8+ T cells, B cells, and NK cells, respectively. Importantly, cell type-specific hypomethylated CpG sites were located at genes involved in cell type-specific biological functions. Then, marker CpG sites to estimate the leukocyte fraction in a tissue with leukocyte infiltration were selected, and an estimation algorithm was established. The fractions of infiltrating leukocytes were estimated to be 1.6-12.4% in the stomach (n = 10) with Helicobacter pylori-induced inflammation and 1.5-4.3% in the colon with dextran sulfate sodium-induced colitis (n = 4), and the fractions were highly correlated with those estimated histologically using Cd45-stained tissue sections [R = 0.811 (p = 0.004)]. These results showed that mouse methylation profiles at CpG sites within enhancers reflected leukocyte cell lineages, and the use of marker CpG sites successfully estimated the leukocyte fraction in inflamed gastric and colon tissues.

Indexed as

DNA MethylationLeukocytesAnimalsCpG IslandsDNAMiceStomachDNA

Identifiers

PMID37797047
PMCPMC10553802
OpenAlexW4387362131

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.