Evidence map›Paper›PMID 37662215›Full record

ArticlebioRxiv : the preprint server for biology2023

A Spatiotemporal Molecular Atlas of the Ovulating Mouse Ovary.

Madhav Mantri, Hanxue Hannah Zhang, Emmanuel Spanos, Yi A Ren, Iwijn De Vlaminck

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Madhav MantriNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York.
Hanxue Hannah ZhangDepartment of Animal Science, Cornell University, Ithaca, New York.
Emmanuel SpanosNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York.
Yi A RenDepartment of Animal Science, Cornell University, Ithaca, New York.
Iwijn De VlaminckNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York.
Cornell University · US

Funding

Control of ovarian vascular remodeling by CCAAT/enhancer binding proteins alpha and betaR01HD109392 · NICHD · CORNELL UNIVERSITY · PI YI REN · 2022 to 2026
$1.7M
NICHD NIH HHS R01 HD109392
6 · The paper itself

Abstract

Ovulation is essential for reproductive success, yet the underlying cellular and molecular mechanisms are far from clear. Here, we applied high-resolution spatiotemporal transcriptomics to map out cell-type- and ovulation-stage-specific molecular programs as function of time during follicle maturation and ovulation in mice. Our analysis revealed dynamic molecular transitions within granulosa cell types that occur in tight coordination with mesenchymal cell proliferation. We identified new molecular markers for the emerging cumulus cell fate during the preantral-to-antral transition. We describe transcriptional programs that respond rapidly to ovulation stimulation and those associated with follicle rupture, highlighting the prominent roles of apoptotic and metabolic pathways during the final stages of follicle maturation. We further report stage-specific oocyte-cumulus cell interactions and diverging molecular differentiation in follicles approaching ovulation. Collectively, this study provides insights into the cellular and molecular processes that regulate mouse ovarian follicle maturation and ovulation with important implications for advancing therapeutic strategies in reproductive medicine.

Identifiers

PMID37662215
PMCPMC10473623
OpenAlexW4386053848

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.