2016
DOI: 10.1007/s11033-016-4025-8
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Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis

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 protei… Show more

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Cited by 28 publications
(20 citation statements)
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“…With the rapid progress in high-throughput technologies and accumulation of various kinds of ‘-omics’ data in public repositories, there is an opportunity to retrieve, integrate, and re-analyze them to identify the most important genes and biomarker candidates in an efficient way [ 67 70 ]. Based on definition of biomarker, a “good” biomarker as an indicator must be specific for a disease and should remain unchanged by unrelated disorders.…”
Section: Discussionmentioning
confidence: 99%
“…With the rapid progress in high-throughput technologies and accumulation of various kinds of ‘-omics’ data in public repositories, there is an opportunity to retrieve, integrate, and re-analyze them to identify the most important genes and biomarker candidates in an efficient way [ 67 70 ]. Based on definition of biomarker, a “good” biomarker as an indicator must be specific for a disease and should remain unchanged by unrelated disorders.…”
Section: Discussionmentioning
confidence: 99%
“…(http://www.elsevier.com/online-tools/pathway-studio) (Pashaiasl et al, 2016). The list of miRNAs was used to determine common pathway regulators based on several types of interactions such as direct regulation, expression, promoter binding and regulations.…”
Section: Prediction Of Potential Mirnasmentioning
confidence: 99%
“…Then, "Common Binding Partner" algorithm was called to find the proteins/genes which have binding interactions with silibinin and paclitaxel. Then, ovarian cancer was added to network and the interactome members of silibinin and paclitaxel which had crosstalk with ovarian cancer were identified [22,23].…”
Section: Network Analysismentioning
confidence: 99%