Literature DB >> 28253086

Oocyte Developmental Competence: Insights from Cross-Species Differential Gene Expression and Human Oocyte-Specific Functional Gene Networks.

Fernando H Biase1.   

Abstract

Understanding oocyte developmental competence remains a key challenge for reproductive biology and systems sciences. The transcriptome of oocytes in eutherians is highly complex and is associated with the success of embryo development. Due to sample limitations from humans, animal models are used for investigation of the oocyte transcriptome. Nonetheless, little is known about the diversity of the oocyte transcriptome across eutherians. In this report, comprehensive investigation of 7 public data sets in 4 species, human, macaque, mice, and cattle, shows that 16,572 genes are expressed in oocytes. Approximately 26% of the genes were expressed in all four species. There were 1390, 489, and 187 genes specifically expressed in human, mice, and cattle oocytes, respectively. Coexpression clustering of the genes specifically expressed in human oocytes revealed functional enrichment (FDR <0.05) of Gene Ontology (GO) terms important for oocyte physiology (i.e., "cellular response to metal ion," "negative regulation of growth," "hormone activity," and "receptor activity"). Interrogation of 4 data sets revealed 26 genes whose expressions were significantly (FDR ≤0.1) associated with oocyte developmental competence and concordant fold change in 2 studies. The genes AK2, AKAP1, ECHS1, MRPL10, MRPL24, PTRH2, STX17, SUCLG1, SUOX, and TOMM34 were associated with the GO term "mitochondrion" (FDR <0.01). Collectively, the results offer new insights on gene transcript levels associated with oocyte developmental competence and the central role of mitochondrion for oocyte's health among eutherians. Caution should be exercised, however, when extending the inferences related to gene expression associated with oocyte quality across eutherians.

Entities:  

Keywords:  developmental competence; embryo; evolution; oocyte

Mesh:

Year:  2017        PMID: 28253086     DOI: 10.1089/omi.2016.0177

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  9 in total

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Review 2.  Artificial intelligence in reproductive medicine.

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3.  Transcriptome Profiling of the Ovarian Cells at the Single-Cell Resolution in Adult Asian Seabass.

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Journal:  Front Cell Dev Biol       Date:  2021-03-29

4.  Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish.

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Journal:  Front Cell Dev Biol       Date:  2022-03-01

5.  Tight gene co-expression in BCB positive cattle oocytes and their surrounding cumulus cells.

Authors:  Bailey N Walker; Jada Nix; Chace Wilson; Mackenzie A Marrella; Savannah L Speckhart; Lydia Wooldridge; Con-Ning Yen; Jocelyn S Bodmer; Laila T Kirkpatrick; Sarah E Moorey; David E Gerrard; Alan D Ealy; Fernando H Biase
Journal:  Reprod Biol Endocrinol       Date:  2022-08-13       Impact factor: 4.982

6.  Extraction of total RNA from single-oocytes and single-cell mRNA sequencing of swine oocytes.

Authors:  Katelyn M Kimble; Sarah E Dickinson; Fernando H Biase
Journal:  BMC Res Notes       Date:  2018-02-27

7.  Functional signaling and gene regulatory networks between the oocyte and the surrounding cumulus cells.

Authors:  Fernando H Biase; Katelyn M Kimble
Journal:  BMC Genomics       Date:  2018-05-10       Impact factor: 3.969

8.  RNA-Seq transcriptome reveals different molecular responses during human and mouse oocyte maturation and fertilization.

Authors:  Zheng-Hui Zhao; Tie-Gang Meng; Ang Li; Heide Schatten; Zhen-Bo Wang; Qing-Yuan Sun
Journal:  BMC Genomics       Date:  2020-07-10       Impact factor: 3.969

9.  Characterization of the Metabolic, Clinical and Neuropsychological Phenotype of Female Carriers of the Premutation in the X-Linked FMR1 Gene.

Authors:  Eleonora Napoli; Yingratana Amabel McLennan; Andrea Schneider; Flora Tassone; Randi J Hagerman; Cecilia Giulivi
Journal:  Front Mol Biosci       Date:  2020-10-22
  9 in total

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