ArticleBMC systems biology2018
Identification of new progestogen-associated networks in mammalian ovulation using bioinformatics.
Article in BMC systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 14 citations in OpenAlex.
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- Transcriptomic Analysis Reveals Differentially Expressed Circular RNAs Associated with Fecundity in the Sheep Hypothalamus with Different FecB Genotypes.Animals : an open access journal from MDPI · 2024Article
- Puberty classifications in beef heifers are moderately to highly heritable and associated with candidate genes related to cyclicity and timing of puberty.Frontiers in genetics · 2024Article
- Identification of selective sweep and associated QTL traits in IranianFrontiers in genetics · 2024Article
- Quantitative proteomic analysis and verification identify global protein profiling dynamics in pig during the estrous cycle.Frontiers in veterinary science · 2023Article
- Phosphodiesterase 10A (PDE10A) as a novel target to suppress β-catenin and RAS signaling in epithelial ovarian cancer.Journal of ovarian research · 2022Article
- Ovary-derived circular RNAs profile analysis during the onset of puberty in gilts.BMC genomics · 2021Article
- Neurotensin: a neuropeptide induced by hCG in the human and rat ovary during the periovulatory period†.Biology of reproduction · 2021Article
- Genome-wide association study and pathway analysis identify NTRK2 as a novel candidate gene for litter size in sheep.PloS one · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProgesterone plays an essential role in mammalian ovulation. Although much is known about this process, the gene networks involved in ovulation have yet to be established. When analyze the mechanisms of ovulation, we often need to determine key genes or pathways to investigate the reproduction features. However, traditional experimental methods have a number of limitations.
resultsData, in this study, were acquired from GSE41836 and GSE54584 which provided different samples. They were analyzed with the GEO2R and 546 differentially expressed genes were obtained from two data sets using bioinformatics (absolute log
conclusionsThe results suggested four key genes, nine predicted genes and eight pathways to be involved in progestogenic networks. These networks provide important regulatory genes and signaling pathways which are involved in ovulation. This study provides a fundamental basis for subsequent functional studies to investigate the regulation of mammalian ovulation.
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