SynthesisMolecular biology reports2016
Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.
Synthesis in Molecular biology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Investigating the impact of regulatory B cells and regulatory B cell-related genes on bladder cancer progression and immunotherapeutic sensitivity.Journal of experimental & clinical cancer research : CR · 2024Article
- Identification of Hub Genes and Biomarkers between Hyperandrogen and Normoandrogen Polycystic Ovary Syndrome by Bioinformatics Analysis.Combinatorial chemistry & high throughput screening · 2023Article
- Apoptotic effects of human amniotic fluid mesenchymal stem cells conditioned medium on human MCF-7 breast cancer cell line.BioImpacts : BI · 2023Article
- Age-related changes in Folliculogenesis and potential modifiers to improve fertility outcomes - A narrative review.Reproductive biology and endocrinology : RB&E · 2022Review
- Long-Term Calorie Restriction Alters Anxiety-like Behaviour and the Brain and Adrenal Gland Transcriptomes of the Ageing Male Rat.Nutrients · 2022Article
- Expression of long noncoding RNAs in the ovarian granulosa cells of women with diminished ovarian reserve using high-throughput sequencing.Journal of ovarian research · 2022Article
- Transcriptome Analyses Identify Potential Key microRNAs and Their Target Genes Contributing to Ovarian Reserve.International journal of molecular sciences · 2021Article
- Gene network analysis to determine the effect of hypoxia-associated genes on brain damages and tumorigenesis using an avian model.Journal, genetic engineering & biotechnology · 2021Article
- In Vitro Activation Early Follicles: From the Basic Science to the Clinical Perspectives.International journal of molecular sciences · 2021Review
- Ovarian Fragmentation and AKT Stimulation for Expansion of Fertile Lifespan.Frontiers in reproductive health · 2021Review
- Genomic analysis reveals variant association with high altitude adaptation in native chickens.Scientific reports · 2019Article
- Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.PloS one · 2018Article
- Unified Transcriptomic Signature of Arbuscular Mycorrhiza Colonization in Roots ofFrontiers in plant science · 2018Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diminished ovarian reserve (DOR) is one of the reasons for infertility that not only affects both older and young women. Ovarian reserve assessment can be used as a new prognostic tool for infertility treatment decision making. Here, up- and down-regulated gene expression profiles of granulosa cells were analysed to generate a putative interaction map of the involved genes. In addition, gene ontology (GO) analysis was used to get insight intol the biological processes and molecular functions of involved proteins in DOR. Eleven up-regulated genes and nine down-regulated genes were identified and assessed by constructing interaction networks based on their biological processes. PTGS2, CTGF, LHCGR, CITED, SOCS2, STAR and FSTL3 were the key nodes in the up-regulated networks, while the IGF2, AMH, GREM, and FOXC1 proteins were key in the down-regulated networks. MIRN101-1, MIRN153-1 and MIRN194-1 inhibited the expression of SOCS2, while CSH1 and BMP2 positively regulated IGF1 and IGF2. Ossification, ovarian follicle development, vasculogenesis, sequence-specific DNA binding transcription factor activity, and golgi apparatus are the major differential groups between up-regulated and down-regulated genes in DOR. Meta-analysis of publicly available transcriptomic data highlighted the high coexpression of CTGF, connective tissue growth factor, with the other key regulators of DOR. CTGF is involved in organ senescence and focal adhesion pathway according to GO analysis. These findings provide a comprehensive system biology based insight into the aetiology of DOR through network and gene ontology analyses.
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