Evidence map›Paper›PMID 38174318›Full record

ArticleiScience2024

Experimental and phylogenetic evidence for correlated gene expression evolution in endometrial and skin fibroblasts.

Anasuya Dighe, Jamie Maziarz, Arig Ibrahim-Hashim, Robert A Gatenby, Kshitiz, Andre Levchenko, Günter P Wagner

Abstract read
In one paragraph

Article in iScience, 2024. 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. Stromal resistance to placental invasion is a derived trait in ruminants.The Journal of reproduction and development · 2026
    Review
  2. Article
  3. Article
  4. 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

7 authors.

Anasuya DigheDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
Jamie MaziarzDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
Arig Ibrahim-HashimMoffitt Cancer Center, Tampa, FL, USA.
Robert A GatenbyMoffitt Cancer Center, Tampa, FL, USA.
KshitizBiomedical Engineering, University of Connecticut, Farmington, CT, USA.
Andre LevchenkoSystems Biology Institute, Yale University, West Haven, CT, USA.
Günter P WagnerDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
NCI NIH HHS U54 CA209992
6 · The paper itself

Abstract

Gene expression change is a dominant mode of evolution. Mutations, however, can affect gene expression in multiple cell types. Therefore, gene expression evolution in one cell type can lead to similar gene expression changes in another cell type. Here, we test this hypothesis by investigating dermal skin fibroblasts (SFs) and uterine endometrial stromal fibroblasts (ESFs). The comparative dataset consists of transcriptomes from cultured SF and ESF of nine mammalian species. We find that evolutionary changes in gene expression in SF and ESF are highly correlated. The experimental dataset derives from a SCID mouse strain selected for slow cancer growth leading to substantial gene expression changes in SFs. We compared the gene expression profiles of SF with that of ESF and found a significant correlation between them. We discuss the implications of these findings for the evolutionary correlation between placental invasiveness and vulnerability to metastatic cancer.

Indexed as

cancercell biologyevolutionary biologyexpression studyPhylogeny

Identifiers

PMID38174318
PMCPMC10762354

What OpenQuestion holds

Textmetadata
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.