Evidence mapPaperPMID 39123067Full record

ReviewNature structural & molecular biology2024

Sex chromosome-encoded protein homologs: current progress and open questions.

Michael C Owens, Amber Yanas, Kathy Fange Liu

Abstract readReview
In one paragraph

Review in Nature structural & molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

3 authors.

Michael C Owens *Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-9425-106X
Amber Yanas *Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.
Kathy Fange LiuDepartment of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA. liufg@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-5943-3888

Funding

Catalytic roles of RNA methyltransferase DIMT1R01HL160726 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$608k
Structural biology and molecular biophysics training programT32GM132039 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$426k
Coregulation of mRNA, tRNA, and rRNA species through RNA modificationsR35GM133721 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Fange Liu · 2023 to 2023
$400k
NHLBI NIH HHS R01 HL160726NIGMS NIH HHS R35 GM133721NIGMS NIH HHS T32 GM132039
6 · The paper itself

Abstract

The complexity of biological sex differences is markedly evident in human physiology and pathology. Although many of these differences can be ascribed to the expression of sex hormones, another contributor to sex differences lies in the sex chromosomes beyond their role in sex determination. Although largely nonhomologous, the human sex chromosomes express seventeen pairs of homologous genes, referred to as the 'X-Y pairs.' The X chromosome-encoded homologs of these Y-encoded proteins are crucial players in several cellular processes, and their dysregulation frequently results in disease development. Many diseases related to these X-encoded homologs present with sex-biased incidence or severity. By contrast, comparatively little is known about the differential functions of the Y-linked homologs. Here, we summarize and discuss the current understanding of five of these X-Y paired proteins, with recent evidence of differential functions and of having a potential link to sex biases in disease, highlighting how amino acid-level sequence differences may differentiate their functions and contribute to sex biases in human disease.

Indexed as

Chromosomes, Human, XAnimalsChromosomes, Human, YFemaleHumansMaleSex CharacteristicsSex Chromosomes

Identifiers

PMID39123067
PMCPMC12133297

What Socratic 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 Socratic graph.