Evidence mapPaperPMID 40238114Full record

SynthesisInvestigative ophthalmology & visual science2025

Transcriptome Meta-Analysis Uncovers Cell-Specific Regulatory Relationships in Embryonic, Juvenile, Adult, and Aged Mouse Lens Epithelium and Fibers.

Matthieu Duot, Sarah Y Coomson, Sanjaya K Shrestha, M V Murali Krishna Nagulla, Yann Audic, Ruteja A Barve, Hongzhan Huang, Carole Gautier-Courteille, Luc Paillard, Salil A Lachke

Abstract readMeta-Analysis
In one paragraph

Synthesis in Investigative ophthalmology & visual science, 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

10 authors.

Matthieu DuotDepartment of Biological Sciences, University of Delaware, Newark, Delaware, United States.
Sarah Y CoomsonDepartment of Biological Sciences, University of Delaware, Newark, Delaware, United States.
Sanjaya K ShresthaDepartment of Biological Sciences, University of Delaware, Newark, Delaware, United States.
M V Murali Krishna NagullaDepartment of Biological Sciences, University of Delaware, Newark, Delaware, United States.
Yann AudicUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Ruteja A BarveDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States.
Hongzhan HuangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States.
Carole Gautier-CourteilleUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Luc PaillardUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, Newark, Delaware, United States.

Funding

Delaware INBRE DRPP CoreP20GM103446 · UNIVERSITY OF DELAWARE · 2025 to 2025
$4.7M
Transcriptional control of gene expression in the lensR01EY036923 · UNIVERSITY OF DELAWARE · 2025 to 2025
$387k
Post transcriptional control of gene expression in the lensR01EY021505 · NEI · UNIVERSITY OF DELAWARE · PI Salil Lachke · 2022 to 2022
$380k
NEI NIH HHS R01 EY021505NEI NIH HHS R01 EY036923NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

Purpose: The lens transcriptome has been examined using microarrays and RNA-sequencing (RNA-seq). These omics data are the basis of the bioinformatics web-resource iSyTE that has identified new genes involved in lens development and cataract. The lens predominantly contains epithelial and fiber cells, and yet, presently, iSyTE is based on whole lens data. To gain cell-specific regulatory insights, we meta-analyzed isolated epithelium and fiber transcriptomes from embryonic/postnatal, adult and aged lenses. Methods: Mouse lens epithelium and fiber transcriptome public datasets at embryonic (E) and postnatal (P) stages E12.5, E14.5, E16.5, E18.5, P0.5, P0, P5, P13, and age one month, three months, six months, and two years were analyzed. Microarray or RNA-seq data were analyzed by appropriate methods and compared to other resources (e.g., Cat-Map, CompBio). Results: Across all RNA-seq datasets examined, 2466 genes are differentially expressed between epithelium and fibers, of which 106 are cataract-linked. Gene ontology enrichment validates epithelial and fiber expression, corroborating the meta-analysis. Whole embryonic-body-in silico subtraction and other analyses identify several new high-priority epithelial- and/or fiber-enriched genes (e.g., Casz1, Ell2). Furthermore, new insights into cell-specific regulatory processes at distinct stages are identified (e.g., ribonucleoprotein regulation in E12.5 epithelium). Finally, this data is made accessible at iSyTE (https://research.bioinformatics.udel.edu/iSyTE/). Conclusions: This spatiotemporal transcriptome meta-analysis comprehensively informs on epithelium- and fiber-specific regulatory processes in developing, adult and aged lenses. Notably, it includes the first description of an embryonic stage (i.e., E12.5) representing early primary fiber differentiation, thus informing on the initial transcriptome changes as lens cell-types are readily distinguishable.

Indexed as

AgingEpithelial CellsGene Expression Regulation, DevelopmentalLens, CrystallineTranscriptomeAnimalsCataractEpitheliumGene Expression ProfilingMice

Identifiers

PMID40238114
PMCPMC12011134

What Socratic 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 Socratic graph.