Evidence map›Paper›PMID 42249416›Full record

ArticleGenome biology2026

DNA methylation-based immune cell profiling in mouse blood using MouseRS-CMD.

Samuel R Reynolds, Hannah G Stolrow, Min Kyung Lee, Steven C Pike, Fred W Kolling, Jacqueline Y Channon, Daniel W Mielcarz, Gary A Ward, Steven N Fiering, Jennifer Fields and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Samuel R Reynolds *Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Hannah G Stolrow *Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Min Kyung LeeDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Steven C PikeDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Fred W KollingDartmouth Cancer Center, Lebanon, NH, USA.
Jacqueline Y ChannonDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Daniel W MielcarzDartLab, Dartmouth Cancer Center, Lebanon, NH, USA.
Gary A WardDartLab, Dartmouth Cancer Center, Lebanon, NH, USA.
Steven N FieringDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Jennifer FieldsDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Lucas A SalasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Brock C ChristensenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Brock.C.Christensen@dartmouth.edu.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Pilot Project ProgramP30GM149408 · NIGMS · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS · 2023 to 2026
$6.3M
DNA-based Immune Phenotyping in HNSCC for Biomarkers of Response to ImmunotherapyR01CA253976 · NCI · BROWN UNIVERSITY · PI CHRISTENSEN, BROCK C, KELSEY, KARL TIMOTHY · 2021 to 2025
$3.3M
NCI NIH HHS P30 CA023108NCI NIH HHS P30CA023108NCI NIH HHS R01 CA253976NIGMS NIH HHS P30 GM149408NIH HHS R01CA253976
6 · The paper itself

Abstract

We present MouseRS-CMD, a murine DNA methylation-based immune cell deconvolution tool. Neutrophils, monocytes, natural killer cells, B cells, CD4 + and CD8 + T cells were purified. DNA methylation was measured with the Illumina Mouse Methylation BeadChip at > 285,000 CpG loci for reference library development and in eye and terminal bleed whole blood with flow cytometry measurements for validation. The IDOL algorithm identified an optimal reference library of 300 CpGs with RMSE < 2.7 for four cell types and < 3.5 for all cell types. MouseRS-CMD enables immune profiling in archival samples and reduces confounding from cell type heterogeneity in molecular studies.

Indexed as

DNA MethylationAlgorithmsAnimalsCpG IslandsFlow CytometryKiller Cells, NaturalMiceNeutrophilsB cellsCD4 + T cellsCD8 + T cellsDNA methylationEpigeneticsImmune profilingMonocytesMus musculusNatural killer cellsNeutrophils

Identifiers

PMID42249416
PMCPMC13459285

What OpenQuestion holds

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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.