Evidence map›Paper›PMID 39789025›Full record

ArticleScientific data2025

Co-profiling of single-cell gene expression and chromatin landscapes in stickleback pituitary.

Liang Liu, Jun Kitano, Shuji Shigenobu, Asano Ishikawa

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Liang LiuLaboratory of Molecular Ecological Genetics, Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID http://orcid.org/0000-0001-9070-1895
Jun KitanoEcological Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka, Japan.
Shuji ShigenobuLaboratory of Evolutionary Genomics, National Institute for Basic Biology, Okazaki, Aichi, Japan.ORCID http://orcid.org/0000-0003-4640-2323
Asano IshikawaLaboratory of Molecular Ecological Genetics, Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan. ishikawa@k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-1628-8339

Funding

MEXT | Japan Science and Technology Agency (JST) 21467575MEXT | Japan Science and Technology Agency (JST) JPMJSP2108MEXT | Japan Society for the Promotion of Science (JSPS) 19H03277MEXT | Japan Society for the Promotion of Science (JSPS) 20H04873
6 · The paper itself

Abstract

The pituitary gland is a key endocrine gland with various physiological functions including metabolism, growth, and reproduction. It comprises several distinct cell populations that release multiple polypeptide hormones. Although the major endocrine cell types are conserved across taxa, the regulatory mechanisms of gene expression and chromatin organization in specific cell types remain poorly understood. Here, we performed simultaneous profiling of the transcriptome and chromatin landscapes in the pituitary cells of the three-spined stickleback (Gasterosteus aculeatus), which represents a good model for investigating the genetic mechanisms underlying adaptive evolution. We obtained pairwise gene expression and chromatin profiles for 5184 cells under short- and long-day conditions. Using three independent clustering analyses, we identified 16 distinct cell clusters and validated their consistency. These results advance our understanding of the regulatory dynamics in the pituitary gland and provide a reference for future research on comparative physiology and evolutionary biology.

Indexed as

ChromatinPituitary GlandSmegmamorphaAnimalsGene Expression ProfilingSingle-Cell AnalysisTranscriptomeChromatin

Identifiers

PMID39789025
PMCPMC11718312

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.