The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them

Introduction: Cervical cancer is the fourth most common cancer among women worldwide and is a heterogeneous disease. The exosomal miRNAs could be applied as diagnostic biomarkers and therapeutic targets in cervical cancer. The present study was performed with aim to use a bioinformatics analysis to...

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Main Authors: Marzieh Naderi Boldaji, Kambiz Ahmadi, Somayeh Reiisi
Format: Article
Language:fas
Published: Mashhad University of Medical Sciences 2023-10-01
Series:Majallah-i Zanān, Māmā̓ī va Nāzā̓ī-i Īrān
Subjects:
Online Access:https://ijogi.mums.ac.ir/article_23399_f0510515c385c5ccd742fc8ce1d0829b.pdf
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author Marzieh Naderi Boldaji
Kambiz Ahmadi
Somayeh Reiisi
author_facet Marzieh Naderi Boldaji
Kambiz Ahmadi
Somayeh Reiisi
author_sort Marzieh Naderi Boldaji
collection DOAJ
description Introduction: Cervical cancer is the fourth most common cancer among women worldwide and is a heterogeneous disease. The exosomal miRNAs could be applied as diagnostic biomarkers and therapeutic targets in cervical cancer. The present study was performed with aim to use a bioinformatics analysis to identify key miRNAs and related genes and pathways in exosomes derived from cervical cancer cells. Methods: In this study, the differential expression of exosomal miRNA and RNAs in healthy and HeLa cells was investigated by analyzing the GEO database for miR-seq and RNA-seq in R software. Subsequently, overlapped miRNA target genes and differentially mRNA from exosome were selected and then, GO and KEGG pathway analysis was performed. The overlapped genes were integrated to construct a PPI network and hub genes selection. Results: In the present study, it was observed that 31 miRNAs were upregulated and 16 miRNAs were downregulated in exosomes. Also, 341 overlapped genes from miRNAs targets and mRNA-seq were selected for future analysis. GO analysis indicated that overlapped genes were significantly enriched in the leucine transport, MAP kinase phosphatase activity, and glutamine transport. KEGG analysis suggested that the genes were enriched in cellular senescence, p53 signaling pathway and cell cycle. The top ten genes including CCNB1, BUB1, KIF20A, MKI67, FOXM1, BIRC5, NCAPH, ZWINT, GINS2, and ASF1B were identified from the PPI network. Conclusion: The results identified key miRNAs with altered expression and characterizing key genes in exosomes derived cervical cancer cells. This study will provide novel insights to determine the potential mechanisms associated exosomes derived from cancer cells in cervical cancer progression.
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spelling doaj.art-60b6fc47e02d4a0f93a87673e45f2a1c2023-12-07T04:18:46ZfasMashhad University of Medical SciencesMajallah-i Zanān, Māmā̓ī va Nāzā̓ī-i Īrān1680-29932008-23632023-10-01268556810.22038/ijogi.2023.2339923399The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to themMarzieh Naderi Boldaji0Kambiz Ahmadi1Somayeh Reiisi2M.Sc. of Cellular and Molecular Biology, Department of Genetics, School of Basic Sciences, Shahrekord University, Shahrekord, Iran.Assistant Professor, Department of Computer Science, School of Mathematical Sciences, Shahrekord University, Shahrekord, Iran.Associate Professor, Department of Genetics, School of Basic Sciences, Shahrekord University, Shahrekord, Iran.Introduction: Cervical cancer is the fourth most common cancer among women worldwide and is a heterogeneous disease. The exosomal miRNAs could be applied as diagnostic biomarkers and therapeutic targets in cervical cancer. The present study was performed with aim to use a bioinformatics analysis to identify key miRNAs and related genes and pathways in exosomes derived from cervical cancer cells. Methods: In this study, the differential expression of exosomal miRNA and RNAs in healthy and HeLa cells was investigated by analyzing the GEO database for miR-seq and RNA-seq in R software. Subsequently, overlapped miRNA target genes and differentially mRNA from exosome were selected and then, GO and KEGG pathway analysis was performed. The overlapped genes were integrated to construct a PPI network and hub genes selection. Results: In the present study, it was observed that 31 miRNAs were upregulated and 16 miRNAs were downregulated in exosomes. Also, 341 overlapped genes from miRNAs targets and mRNA-seq were selected for future analysis. GO analysis indicated that overlapped genes were significantly enriched in the leucine transport, MAP kinase phosphatase activity, and glutamine transport. KEGG analysis suggested that the genes were enriched in cellular senescence, p53 signaling pathway and cell cycle. The top ten genes including CCNB1, BUB1, KIF20A, MKI67, FOXM1, BIRC5, NCAPH, ZWINT, GINS2, and ASF1B were identified from the PPI network. Conclusion: The results identified key miRNAs with altered expression and characterizing key genes in exosomes derived cervical cancer cells. This study will provide novel insights to determine the potential mechanisms associated exosomes derived from cancer cells in cervical cancer progression.https://ijogi.mums.ac.ir/article_23399_f0510515c385c5ccd742fc8ce1d0829b.pdfbiomarkercervical cancerexosomemirnamrnasignaling pathway
spellingShingle Marzieh Naderi Boldaji
Kambiz Ahmadi
Somayeh Reiisi
The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
Majallah-i Zanān, Māmā̓ī va Nāzā̓ī-i Īrān
biomarker
cervical cancer
exosome
mirna
mrna
signaling pathway
title The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
title_full The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
title_fullStr The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
title_full_unstemmed The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
title_short The expression profile of exosomal miRNAs in cervical cancer cells (HeLa) compared to normal cells and evaluating the key genes related to them
title_sort expression profile of exosomal mirnas in cervical cancer cells hela compared to normal cells and evaluating the key genes related to them
topic biomarker
cervical cancer
exosome
mirna
mrna
signaling pathway
url https://ijogi.mums.ac.ir/article_23399_f0510515c385c5ccd742fc8ce1d0829b.pdf
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