Evidence map›Paper›PMID 40921976›Full record

ArticleScience China. Life sciences2025

A systematic analysis of human hormone receptors.

Xiangjie Zhao, Xiu-Jie Wang

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Article in Science China. Life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

2 authors.

Xiangjie ZhaoInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
Xiu-Jie WangInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China. xjwang@genetics.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hormones are important bioactive molecules that regulate the development, function, and homeostasis of tissues/organs via binding to hormone receptors (HRs) in target cells. Although human HRs are essential for both basic research and drug development, a comprehensive analysis of them is still lacking. Here, we present a systematic bioinformatic investigation of all known human HRs, characterizing their genomic distributions, biological functions, subcellular localizations, and expression patterns in various cell types and tissues/organs. We further explored the relationship between HR expression and aging, and identified HRs with aging-associated expression changes. In addition, a thorough analysis of HR-related diseases highlights the extensive involvement of HRs in various pathological conditions, particularly nervous system diseases and cancers. We constructed gender-specific cross-tissue/organ hormone-HR interaction networks, which provided valuable insights into hormone-mediated inter-organ communications. An interactive website was also developed to allow users to explore hormone-HR networks in different tissues/organs. These results revealed new features of human HRs and offered a comprehensive resource for human HR-related studies.

Indexed as

HormonesAgingComputational BiologyFemaleHumansMaleHormonesagingcell type-specific expressiondrug targetshormone receptorsinter-organ hormonal communications

Identifiers

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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.