Evidence map›Paper›PMID 39468655›Full record

ArticleBiological research2024

Landscape transcriptomic analysis of bovine follicular cells during key phases of ovarian follicular development.

Henry David Mogollón García, Rodrigo de Andrade Ferrazza, Julian Camilo Ochoa, Flávia Florencio de Athayde, Pedro Marcus Pereira Vidigal, Milo Wiltbank, John Patrick Kastelic, Roberto Sartori, João Carlos Pinheiro Ferreira

Abstract read
In one paragraph

Article in Biological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Henry David Mogollón GarcíaDepartment of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Rua Prof. Doutor Walter Mauricio Correa, s/n, Botucatu, São Paulo, 18618-681, Brazil.
Rodrigo de Andrade FerrazzaDepartment of Animal Science, Londrina State University, Londrina, Paraná, Brazil.
Julian Camilo OchoaDepartment of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Rua Prof. Doutor Walter Mauricio Correa, s/n, Botucatu, São Paulo, 18618-681, Brazil.
Flávia Florencio de AthaydeDepartment of Animal Production and Health, School of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, São Paulo, Brazil.
Pedro Marcus Pereira VidigalCenter of Biological Sciences, Viçosa Federal University, Viçosa, Minas Gerais, Brazil.
Milo WiltbankDepartment of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, USA.
John Patrick KastelicFaculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Roberto SartoriDepartment of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil.
João Carlos Pinheiro FerreiraDepartment of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Rua Prof. Doutor Walter Mauricio Correa, s/n, Botucatu, São Paulo, 18618-681, Brazil. joao.cp.ferreira@unesp.br.ORCID http://orcid.org/0000-0002-7742-8254

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 190043/2017-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2011/20449-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/18297-7
6 · The paper itself

Abstract

backgroundThere are many gaps in our understanding of the mechanisms involved in ovarian follicular development in cattle, particularly regarding follicular deviation, acquisition of ovulatory capacity, and preovulatory changes. Molecular evaluations of ovarian follicular cells during follicular development in cattle, especially serial transcriptomic analyses across key growth phases, have not been reported. This study aims to address this gap by analyzing gene expression using RNA-seq in granulosa and antral cells recovered from ovarian follicular fluid during critical phases of ovarian follicular development in Holstein cows.

resultsIntegrated analysis of gene ontology (GO), gene set enrichment (GSEA), protein-protein interaction (PPI), and gene topology identified that differentially expressed genes (DEGs) in the largest ovarian follicles at deviation (Dev) were primarily involved in FSH-negative feedback, steroidogenesis, cell proliferation, apoptosis, and the prevention of early follicle rupture. In contrast, DEGs in the second largest follicles (DevF2) were mainly related to loss of cell viability, apoptosis, and immune cell invasion. In the dominant (PostDev) and preovulatory (PreOv) follicles, DEGs were associated with vascular changes and inflammatory responses.

conclusionsThe transcriptome of ovarian follicular fluid cells had a predominance of granulosa cells in the dominant follicle at deviation, with upregulation of genes involved in cell viability, steroidogenesis, and apoptosis prevention, whereas in the non-selected follicle there was upregulation of cell death-related transcripts. Immune cell transcripts increased significantly after deviation, particularly in preovulatory follicles, indicating strong intrafollicular chemotactic activity. We inferred that immune cell invasion occurred despite an intact basal lamina, contributing to follicular maturation.

Indexed as

Gene Expression ProfilingOvarian FollicleAnimalsCattleFemaleFollicular FluidGranulosa CellsTranscriptomeDeviationGenesHolstein cowsSteroidogenesis

Identifiers

PMID39468655
PMCPMC11514973

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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.