Evidence map›Paper›PMID 42051034›Full record

ArticleNucleic acids research2026

ChIP-Atlas 2025 update: 10-year anniversary of a data-mining platform for exploring epigenomic landscape.

Zhaonan Zou, Tazro Ohta, Takeya Kasukawa, Shinya Oki

Abstract read
In one paragraph

Article in Nucleic acids research, 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. The role of ATF4 in neurons under mitochondrial stress.NAR genomics and bioinformatics · 2026
    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

4 authors.

Zhaonan ZouInstitute of Resource Development and Analysis, Kumamoto University, Gene Technology Center 6F, 2-2-1, Honjo, Chuo-ku, Kumamoto 860-0811, Japan.ORCID 0000-0002-1075-4936
Tazro OhtaDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.ORCID 0000-0003-3777-5945
Takeya KasukawaRIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.ORCID 0000-0001-5085-0802
Shinya OkiInstitute of Resource Development and Analysis, Kumamoto University, Gene Technology Center 6F, 2-2-1, Honjo, Chuo-ku, Kumamoto 860-0811, Japan.ORCID 0000-0002-4767-3259

Funding

Development of Fundamental Technologies ProjectGrants-in-Aid for Scientific ResearchJapan Agency for Medical Research JP25ama121017Japan Agency for Medical Research and Development JP25ama121017Japan Agency for Medical Research and Development JP25gm2010007Japan Agency for Medical Research and Development JP25gm6710001Japan Science and Technology AgencyJapan Society for the Promotion of Science 23H04954Japan Society for the Promotion of Science 23K24081Japan Society for the Promotion of Science 23KF0048Japan Society for the Promotion of Science 24K23417Japan Society for the Promotion of Science 25K21342
6 · The paper itself

Abstract

ChIP-Atlas (https://chip-atlas.org/) is a data-mining platform that systematically processes and integrates public epigenomic profiling data, including ChIP-seq, ATAC-seq, DNase-seq, and Bisulfite-seq, together with curated sample metadata, currently encompassing >460 000 experiments across multiple model organisms. In this 2025 update, an experiment-level quality control framework was embedded in every experiment page, enabling intuitive assessment of data reliability and representativeness. In addition, a parametric analysis of gene set enrichment-based module was implemented, allowing enrichment analysis directly from continuous RNA-seq count tables without relying on threshold-defined, discrete gene lists, thereby helping elucidate underlying gene regulatory mechanisms. Combined with sustained data expansion, these updates advance ChIP-Atlas into a more quantitative and flexible platform for exploring the epigenomic landscape in multicellular organisms, marking its 10th anniversary.

Indexed as

Data MiningEpigenomicsSoftwareAnimalsBiocurationChromatin Immunoprecipitation SequencingEpigenesis, GeneticHumans

Identifiers

PMID42051034
PMCPMC13355075

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.