ArticleJournal of ovarian research2026
Full-length transcriptomic profiling reveals age-associated isoform remodeling and altered coding potential in the mouse ovary.
Article in Journal of ovarian research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian aging, marked by a progressive diminution of oocyte quality and quantity, is a major contributor to declining female fertility and age-related reproductive disorders. However, transcript-level changes underlying this process remain incompletely understood. In this study, we applied Oxford Nanopore long-read RNA sequencing to profile full-length transcripts from granulosa cells and oocytes of young (6-8 weeks) and aged (10 months) mice, complemented by Illumina short-read sequencing for orthogonal support. We performed transcript annotation, differential expression analysis, alternative polyadenylation (APA) analysis, and weighted gene co-expression network analysis (WGCNA) to investigate age-associated transcriptomic changes. Comprehensive annotation classified 130,730 high-confidence transcripts, including over 100,000 putative novel isoforms, and revealed that aging was associated with a shift toward isoforms with lower predicted coding potential. Exploratory enrichment analysis suggested that transcripts with lower predicted coding potential were associated with biological processes such as protein synthesis and chromosome segregation. APA analysis identified age-associated 3'UTR shortening. Transcript-level differential expression and isoform-switching analysis uncovered 795 significant switching events across both cell types, frequently associated with predicted open reading frame changes and potential protein-domain loss. Exploratory WGCNA highlighted modules associated with aging and cell-type specificity, including an Esr1-derived hub transcript, TALONT000180938, from a gene previously linked to ovarian function and disease. Many disease-associated genes exhibited cell-type-specific isoform usage, with several novel isoforms undetectable at the gene level. Our results indicate that long-read sequencing improves isoform-level resolution of ovarian transcriptomic diversity and identifies candidate aging-associated transcript alterations that may be relevant to reproductive decline.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.