Evidence map›Paper›PMID 42725814›Full record

SynthesisFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026

Dynamic Remodeling of Oocyte-Granulosa Cell Communication During Bovine Folliculogenesis Revealed by Transcriptomic Meta-Analyses.

Noemi Monferini, Ludovica Donadini, Pritha Dey, Federica Franciosi, Valentina Lodde, Maria Belen Rabaglino, Alberto Maria Luciano

Abstract readMeta-Analysis
In one paragraph

Synthesis in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. 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.

No citing paper in PubMed yet.

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.

Noemi MonferiniReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-2339-9953
Ludovica DonadiniReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0009-0005-9258-9047
Pritha DeyReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-1601-6379
Federica FranciosiReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0001-8742-0291
Valentina LoddeReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-9768-2292
Maria Belen RabaglinoDepartment of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0002-0099-045X
Alberto Maria LucianoReproductive and Developmental Biology Laboratory (ReDBioLab), Department of Veterinary Medicine and Animal Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-8016-9919

Funding

European Commission (EC) 860960Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR) 20209L8BN4Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR) 20227EB74MRegione Lombardia (Lombardy Region) 202102146691
6 · The paper itself

Abstract

Ovarian folliculogenesis relies on tightly coordinated communication between the oocyte and surrounding granulosa cells, yet how this molecular dialogue is remodeled during follicle development remains poorly understood. Here, we reconstructed stage-specific ligand-receptor communication networks through a transcriptomic meta-analysis integrating bovine secondary, early antral, and middle antral follicles. Our analyses revealed that oocyte-granulosa cell communication undergoes progressive remodeling during folliculogenesis, with distinct signaling programs characterizing successive developmental stages. Secondary follicles were predominantly associated with extracellular matrix organization, cell adhesion, and early metabolic regulation. During the early antral stage, signaling shifted toward lipid, steroid, and vitamin metabolism, identifying this phase as a major metabolic transition. Middle antral follicles exhibited a marked increase in communication complexity, with enrichment of PI3K-AKT, mTOR, RAS, Hippo, and cell adhesion pathways accompanying the acquisition of developmental competence. Additional analyses of Brilliant Cresyl Blue-classified cumulus-oocyte complexes identified competence-associated ligand-receptor interactions, while independent validation using the EmbryoGENE dataset confirmed stage-specific expression patterns and highlighted CD47, FGF21, and GPC6 as candidate regulators of oocyte developmental competence. This study provides a comprehensive transcriptomic framework describing the dynamic remodeling of oocyte-granulosa cell communication during bovine folliculogenesis. Beyond confirming established signaling pathways, it identifies novel candidate interactions and offers a biologically grounded resource to guide future functional studies and the optimization of in vitro follicle and cumulus-oocyte complex culture systems.

Indexed as

Cell CommunicationGranulosa CellsOocytesOvarian FollicleTranscriptomeAnimalsCattleFemaleGene Expression ProfilingSignal Transductioncell–cell signaling ligand–receptor interactionscumulus celldevelopmental competencefolliculogenesisoocyte–granulosa cell communicationovary

Identifiers

PMID42725814
PMCPMC13564240

What OpenQuestion holds

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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.