Evidence map›Paper›PMID 34882778›Full record

ArticleEvolution; international journal of organic evolution2022

Unraveling patterns of disrupted gene expression across a complex tissue.

Kelsie E Hunnicutt, Jeffrey M Good, Erica L Larson

Open access · greenAbstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Dichotomous transcriptome divergence at the cell-type level between thebioRxiv : the preprint server for biology · 2025
    Article
  7. Intraspecific gene regulation in cis- and trans.Evolution; international journal of organic evolution · 2025
    Review
  8. Article
  9. Article
  10. Do genetic loci that cause reproductive isolation in the lab inhibit gene flow in nature?Evolution; international journal of organic evolution · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Molecular Evolution across Mouse Spermatogenesis.Molecular biology and evolution · 2022
    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

3 authors at 2 institutions in 1 country.

Kelsie E HunnicuttDepartment of Biological Sciences, University of Denver, Denver, Colorado, 80208.ORCID 0000-0002-9674-0630
Jeffrey M GoodDivision of Biological Sciences, University of Montana, Missoula, Montana, 59812.ORCID 0000-0003-0707-5374
Erica L LarsonDepartment of Biological Sciences, University of Denver, Denver, Colorado, 80208.ORCID 0000-0003-3006-645X
University of Denver · USUniversity of Montana · US

Funding

Meiotic sex chromosome inactivation and the developmental basis of hybrid male stR01HD073439 · NICHD · UNIVERSITY OF MONTANA · PI GOOD, JEFFREY · 2012 to 2016
$1.5M
The evolution of genomic imprintingR01HD094787 · NICHD · UNIVERSITY OF MONTANA · PI GOOD, JEFFREY · 2018 to 2022
$1.5M
NICHD NIH HHS R01 HD073439NICHD NIH HHS R01 HD094787
6 · The paper itself

Abstract

Whole tissue RNASeq is the standard approach for studying gene expression divergence in evolutionary biology and provides a snapshot of the comprehensive transcriptome for a given tissue. However, whole tissues consist of diverse cell types differing in expression profiles, and the cellular composition of these tissues can evolve across species. Here, we investigate the effects of different cellular composition on whole tissue expression profiles. We compared gene expression from whole testes and enriched spermatogenesis populations in two species of house mice, Mus musculus musculus and M. m. domesticus, and their sterile and fertile F1 hybrids, which differ in both cellular composition and regulatory dynamics. We found that cellular composition differences skewed expression profiles and differential gene expression in whole testes samples. Importantly, both approaches were able to detect large-scale patterns such as disrupted X chromosome expression, although whole testes sampling resulted in decreased power to detect differentially expressed genes. We encourage researchers to account for histology in RNASeq and consider methods that reduce sample complexity whenever feasible. Ultimately, we show that differences in cellular composition between tissues can modify expression profiles, potentially altering inferred gene ontological processes, insights into gene network evolution, and processes governing gene expression evolution.

Indexed as

Genetic SpeciationInfertility, MaleAnimalsGene ExpressionMaleMiceSpermatogenesisX ChromosomeFluorescence-activated cell sortinggene expression evolutionhybrid sterilityRNASeqspeciation

Identifiers

PMID34882778
PMCPMC9355168
OpenAlexW4220923125

What OpenQuestion holds

Textmetadata
LicenceTDM
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.