Evidence map›Paper›PMID 40601268›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Quantitative CUT&Tag for Epigenomic Profiling of Mouse Germ Cells.

Mengwen Hu, Satoshi H Namekawa

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Mengwen HuDepartment of Microbiology and Molecular Genetics, University of California, Davis, Davis, CA, USA. mwhu@ucdavis.edu.
Satoshi H NamekawaDepartment of Microbiology and Molecular Genetics, University of California, Davis, Davis, CA, USA. snamekawa@ucdavis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide chromatin profiling is a robust approach to define the mechanisms underlying epigenetic gene regulation. Among the available techniques, Cleavage Under Targets and Tagmentation (CUT&Tag) has emerged as a highly efficient method for profiling diverse chromatin components and modifications. Its appeal lies in the simplicity of the experimental steps, the minimal input requirements, and the generation of reproducible high-quality data. Here, we provide a detailed guide to a series of optimized spike-in CUT&Tag protocols tailored for quantitative epigenomic profiling of mouse germ cells. We illustrate this application of the methodology using our recent comprehensive study of adult mouse spermatogonial cells as an example. The experimental process involves fluorescence-activated cell sorting to isolate adult spermatogonial cells, the implementation of a spike-in CUT&Tag protocol to generate sequencing libraries, and the subsequent bioinformatics analysis of the resulting sequencing data. This framework provides a versatile approach to quantitative epigenomic analysis, extending far beyond the specific context of male germ cells.

Indexed as

Epigenesis, GeneticEpigenomicsGerm CellsAnimalsChromatinComputational BiologyFlow CytometryHigh-Throughput Nucleotide SequencingMaleMiceSpermatogoniaChromatinCUT&TagEpigeneticsGerm cellsHistone modificationsSpermatogonia

Identifiers

PMID40601268

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.