Evidence map›Paper›PMID 39205919›Full record

ArticleInternational journal of reproductive biomedicine2024

Comparison of the gene expression profiles of endometrial and trophoblastic cells in women with recurrent miscarriage: A bioinformatics approach.

Kambiz Ahmadi, Somayeh Reiisi, Zahra Habibi

Abstract read
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Article in International journal of reproductive biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kambiz AhmadiDepartment of Computer Sciences, Faculty of Mathematical Sciences, Shahrekord University, Shahrekord, Iran.
Somayeh ReiisiDepartment of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran.
Zahra HabibiDepartment of Women and Family Affairs, Chaharmahal and Bakhtiari Governorate, Shahrekord, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrent miscarriage (RM) remains unsolved in Objective: This study aimed to use computational analysis to identify key genes and related pathways in endometrial and trophoblast cells derived from RM samples. Materials and Methods: In this bioinformatics study, we explored the differential expression of genes in endometrial and trophoblast cells by analyzing the GSE165004 and GSE76862 datasets, respectively with the limma package in R software. Subsequently, overlapped genes between 2 datasets were selected, gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed. The overlapped genes were integrated to construct a protein-protein interaction network and hub genes selection. Results: We observed 41 overlapped genes between endometrial and trophoblast cells, and future analysis was accomplished in overlapped and nonoverlapped genes. Kyoto Encyclopedia of Genes and Genomes analysis indicated that overlapped genes were significantly enriched in the complement and coagulation cascades, pluripotency of stem cells, and synthesis and degradation of ketone bodies. Gene ontology analysis suggested that the genes were enriched in the cell cycle, apoptosis, and cell division. The top 10 genes included: Conclusion: This study identified the key genes and potential molecular pathways underlying the development of RM. This could provide novel insights to determine the possible mechanisms and interventional strategies associated with miscarriage.

Indexed as

Bioinformatics.Gene ontologyRecurrent miscarriageTranscriptome profile

Identifiers

PMID39205919
PMCPMC11347766

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