ArticlebioRxiv : the preprint server for biology2025
Induction of menstruation in mice reveals the regulation of menstrual shedding.
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- A Framework for Women's Health Engineering Education: Pedagogical Foundations and Practical Implementation.Annals of biomedical engineering · 2026Review
- The Role of Macrophages in Endometrial Cyclical Changes and Female Reproductive System Diseases: A Review.Current issues in molecular biology · 2026Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
During menstruation, an inner layer of the endometrium is selectively shed, while an outer, progenitor-containing layer is preserved to support repeated regeneration. Progress in understanding this compartmentalization has been hindered by the lack of suitable animal models, as mice and rats do not menstruate. Here, we present transgenic mouse models that recapitulate the key anatomical, functional, and transcriptional features of human menstruation through targeted chemogenetic activation of premenstrual differentiation. Using single-cell spatial transcriptomics, we define a new paradigm for spatially regulated fibroblast differentiation that drives pre-menstrual endometrial layering and ultimately determines the extent of tissue shedding. Our results revise a century-old view of endometrial shedding and regeneration and establish new transgenic mice as powerful tools to advance menstruation research.
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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.