Integrated microRNA and mRNA transcriptome sequencing reveals the potential roles of miRNAs in stage I endometrioid endometrial carcinoma
Endometrioid endometrial carcinoma (EEC) is the most dominant subtype of endometrial cancer. Aberrant transcriptional regulation has been implicated in EEC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing in EEC to investigate potential molecular mechanisms underlying the pa...
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creator | Xiong, Hanzhen Li, Qiulian Liu, Shaoyan Wang, Fang Xiong, Zhongtang Chen, Juan Chen, Hui Yang, Yuexin Tan, Xuexian Luo, Qiuping Peng, Juan Xiao, Guohong Jiang, Qingping |
description | Endometrioid endometrial carcinoma (EEC) is the most dominant subtype of endometrial cancer. Aberrant transcriptional regulation has been implicated in EEC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing in EEC to investigate potential molecular mechanisms underlying the pathogenesis. Total mRNA and small RNA were simultaneously sequenced by next generation sequencing technology for 3 pairs of stage I EEC and adjacent non-tumorous tissues. On average, 52,716,765 pair-end 100 bp mRNA reads and 1,669,602 single-end 50 bp miRNA reads were generated. Further analysis indicated that 7 miRNAs and 320 corresponding target genes were differentially expressed in the three stage I EEC patients. Six of all the seven differentially expressed miRNAs were targeting on eleven differentially expressed genes in the cell cycle pathway. Real-time quantitative PCR in sequencing samples and other independent 21 pairs of samples validated the miRNA-mRNA differential co-expression, which were involved in cell cycle pathway, in the stage I EEC. Thus, we confirmed the involvement of hsa-let-7c-5p and hsa-miR-99a-3p in EEC and firstly found dysregulation of hsa-miR-196a-5p, hsa-miR-328-3p, hsa-miR-337-3p, and hsa-miR-181c-3p in EEC. Moreover, synergistic regulations among these miRNAs were detected. Transcript sequence variants such as single nucleotide variant (SNV) and short insertions and deletions (Indels) were also characterized. Our results provide insights on dysregulated miRNA-mRNA co-expression and valuable resources on transcript variation in stage I EEC, which implies the new molecular mechanisms that underlying pathogenesis of stage I EEC and supplies opportunity for further in depth investigations. |
doi_str_mv | 10.1371/journal.pone.0110163 |
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Aberrant transcriptional regulation has been implicated in EEC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing in EEC to investigate potential molecular mechanisms underlying the pathogenesis. Total mRNA and small RNA were simultaneously sequenced by next generation sequencing technology for 3 pairs of stage I EEC and adjacent non-tumorous tissues. On average, 52,716,765 pair-end 100 bp mRNA reads and 1,669,602 single-end 50 bp miRNA reads were generated. Further analysis indicated that 7 miRNAs and 320 corresponding target genes were differentially expressed in the three stage I EEC patients. Six of all the seven differentially expressed miRNAs were targeting on eleven differentially expressed genes in the cell cycle pathway. Real-time quantitative PCR in sequencing samples and other independent 21 pairs of samples validated the miRNA-mRNA differential co-expression, which were involved in cell cycle pathway, in the stage I EEC. Thus, we confirmed the involvement of hsa-let-7c-5p and hsa-miR-99a-3p in EEC and firstly found dysregulation of hsa-miR-196a-5p, hsa-miR-328-3p, hsa-miR-337-3p, and hsa-miR-181c-3p in EEC. Moreover, synergistic regulations among these miRNAs were detected. Transcript sequence variants such as single nucleotide variant (SNV) and short insertions and deletions (Indels) were also characterized. Our results provide insights on dysregulated miRNA-mRNA co-expression and valuable resources on transcript variation in stage I EEC, which implies the new molecular mechanisms that underlying pathogenesis of stage I EEC and supplies opportunity for further in depth investigations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0110163</identifier><identifier>PMID: 25329664</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Analysis ; Apoptosis ; Biomarkers ; Carcinoma ; Carcinoma, Endometrioid - diagnosis ; Carcinoma, Endometrioid - genetics ; Carcinoma, Endometrioid - metabolism ; Cell cycle ; Cell growth ; Endometrial cancer ; Endometrial Neoplasms - diagnosis ; Endometrial Neoplasms - genetics ; Endometrial Neoplasms - metabolism ; Endometrium ; Female ; Gastric cancer ; Gene expression ; Gene Expression Regulation, Neoplastic ; Gene regulation ; Gene sequencing ; Genes ; Genomes ; High-Throughput Nucleotide Sequencing ; Hospitals ; Humans ; Kinases ; Laboratories ; Medical prognosis ; Medicine and Health Sciences ; Messenger RNA ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Middle Aged ; miRNA ; Molecular modelling ; Obstetrics ; Pathogenesis ; Pathology ; Quality ; Ribonucleic acid ; RNA ; Sequence Analysis, RNA ; Stomach cancer ; Technology application ; Tissues ; Transcription ; Transcriptome ; Uterine cancer</subject><ispartof>PloS one, 2014-10, Vol.9 (10), p.e110163-e110163</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Xiong et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Xiong et al 2014 Xiong et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-ac2bec0cf88e4987180c3ecfb59cece5afaece89e4c06e743147cdf8b2e9dd683</citedby><cites>FETCH-LOGICAL-c758t-ac2bec0cf88e4987180c3ecfb59cece5afaece89e4c06e743147cdf8b2e9dd683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201519/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201519/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25329664$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Samant, Rajeev</contributor><creatorcontrib>Xiong, Hanzhen</creatorcontrib><creatorcontrib>Li, Qiulian</creatorcontrib><creatorcontrib>Liu, Shaoyan</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Xiong, Zhongtang</creatorcontrib><creatorcontrib>Chen, Juan</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Yang, Yuexin</creatorcontrib><creatorcontrib>Tan, Xuexian</creatorcontrib><creatorcontrib>Luo, Qiuping</creatorcontrib><creatorcontrib>Peng, Juan</creatorcontrib><creatorcontrib>Xiao, Guohong</creatorcontrib><creatorcontrib>Jiang, Qingping</creatorcontrib><title>Integrated microRNA and mRNA transcriptome sequencing reveals the potential roles of miRNAs in stage I endometrioid endometrial carcinoma</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Endometrioid endometrial carcinoma (EEC) is the most dominant subtype of endometrial cancer. Aberrant transcriptional regulation has been implicated in EEC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing in EEC to investigate potential molecular mechanisms underlying the pathogenesis. Total mRNA and small RNA were simultaneously sequenced by next generation sequencing technology for 3 pairs of stage I EEC and adjacent non-tumorous tissues. On average, 52,716,765 pair-end 100 bp mRNA reads and 1,669,602 single-end 50 bp miRNA reads were generated. Further analysis indicated that 7 miRNAs and 320 corresponding target genes were differentially expressed in the three stage I EEC patients. Six of all the seven differentially expressed miRNAs were targeting on eleven differentially expressed genes in the cell cycle pathway. Real-time quantitative PCR in sequencing samples and other independent 21 pairs of samples validated the miRNA-mRNA differential co-expression, which were involved in cell cycle pathway, in the stage I EEC. Thus, we confirmed the involvement of hsa-let-7c-5p and hsa-miR-99a-3p in EEC and firstly found dysregulation of hsa-miR-196a-5p, hsa-miR-328-3p, hsa-miR-337-3p, and hsa-miR-181c-3p in EEC. Moreover, synergistic regulations among these miRNAs were detected. Transcript sequence variants such as single nucleotide variant (SNV) and short insertions and deletions (Indels) were also characterized. Our results provide insights on dysregulated miRNA-mRNA co-expression and valuable resources on transcript variation in stage I EEC, which implies the new molecular mechanisms that underlying pathogenesis of stage I EEC and supplies opportunity for further in depth investigations.</description><subject>Adult</subject><subject>Analysis</subject><subject>Apoptosis</subject><subject>Biomarkers</subject><subject>Carcinoma</subject><subject>Carcinoma, Endometrioid - diagnosis</subject><subject>Carcinoma, Endometrioid - genetics</subject><subject>Carcinoma, Endometrioid - metabolism</subject><subject>Cell cycle</subject><subject>Cell growth</subject><subject>Endometrial cancer</subject><subject>Endometrial Neoplasms - diagnosis</subject><subject>Endometrial Neoplasms - genetics</subject><subject>Endometrial Neoplasms - metabolism</subject><subject>Endometrium</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene regulation</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genomes</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Kinases</subject><subject>Laboratories</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Messenger RNA</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Middle Aged</subject><subject>miRNA</subject><subject>Molecular modelling</subject><subject>Obstetrics</subject><subject>Pathogenesis</subject><subject>Pathology</subject><subject>Quality</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Sequence Analysis, RNA</subject><subject>Stomach cancer</subject><subject>Technology 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microRNA and mRNA transcriptome sequencing reveals the potential roles of miRNAs in stage I endometrioid endometrial carcinoma</title><author>Xiong, Hanzhen ; Li, Qiulian ; Liu, Shaoyan ; Wang, Fang ; Xiong, Zhongtang ; Chen, Juan ; Chen, Hui ; Yang, Yuexin ; Tan, Xuexian ; Luo, Qiuping ; Peng, Juan ; Xiao, Guohong ; Jiang, Qingping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-ac2bec0cf88e4987180c3ecfb59cece5afaece89e4c06e743147cdf8b2e9dd683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Apoptosis</topic><topic>Biomarkers</topic><topic>Carcinoma</topic><topic>Carcinoma, Endometrioid - diagnosis</topic><topic>Carcinoma, Endometrioid - genetics</topic><topic>Carcinoma, Endometrioid - metabolism</topic><topic>Cell cycle</topic><topic>Cell growth</topic><topic>Endometrial cancer</topic><topic>Endometrial Neoplasms - diagnosis</topic><topic>Endometrial Neoplasms - genetics</topic><topic>Endometrial Neoplasms - metabolism</topic><topic>Endometrium</topic><topic>Female</topic><topic>Gastric cancer</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene regulation</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genomes</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Kinases</topic><topic>Laboratories</topic><topic>Medical prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Messenger RNA</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Middle Aged</topic><topic>miRNA</topic><topic>Molecular modelling</topic><topic>Obstetrics</topic><topic>Pathogenesis</topic><topic>Pathology</topic><topic>Quality</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Sequence Analysis, 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sequencing reveals the potential roles of miRNAs in stage I endometrioid endometrial carcinoma</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-10-17</date><risdate>2014</risdate><volume>9</volume><issue>10</issue><spage>e110163</spage><epage>e110163</epage><pages>e110163-e110163</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Endometrioid endometrial carcinoma (EEC) is the most dominant subtype of endometrial cancer. Aberrant transcriptional regulation has been implicated in EEC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing in EEC to investigate potential molecular mechanisms underlying the pathogenesis. Total mRNA and small RNA were simultaneously sequenced by next generation sequencing technology for 3 pairs of stage I EEC and adjacent non-tumorous tissues. On average, 52,716,765 pair-end 100 bp mRNA reads and 1,669,602 single-end 50 bp miRNA reads were generated. Further analysis indicated that 7 miRNAs and 320 corresponding target genes were differentially expressed in the three stage I EEC patients. Six of all the seven differentially expressed miRNAs were targeting on eleven differentially expressed genes in the cell cycle pathway. Real-time quantitative PCR in sequencing samples and other independent 21 pairs of samples validated the miRNA-mRNA differential co-expression, which were involved in cell cycle pathway, in the stage I EEC. Thus, we confirmed the involvement of hsa-let-7c-5p and hsa-miR-99a-3p in EEC and firstly found dysregulation of hsa-miR-196a-5p, hsa-miR-328-3p, hsa-miR-337-3p, and hsa-miR-181c-3p in EEC. Moreover, synergistic regulations among these miRNAs were detected. Transcript sequence variants such as single nucleotide variant (SNV) and short insertions and deletions (Indels) were also characterized. Our results provide insights on dysregulated miRNA-mRNA co-expression and valuable resources on transcript variation in stage I EEC, which implies the new molecular mechanisms that underlying pathogenesis of stage I EEC and supplies opportunity for further in depth investigations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25329664</pmid><doi>10.1371/journal.pone.0110163</doi><oa>free_for_read</oa></addata></record> |
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issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1613424150 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Analysis Apoptosis Biomarkers Carcinoma Carcinoma, Endometrioid - diagnosis Carcinoma, Endometrioid - genetics Carcinoma, Endometrioid - metabolism Cell cycle Cell growth Endometrial cancer Endometrial Neoplasms - diagnosis Endometrial Neoplasms - genetics Endometrial Neoplasms - metabolism Endometrium Female Gastric cancer Gene expression Gene Expression Regulation, Neoplastic Gene regulation Gene sequencing Genes Genomes High-Throughput Nucleotide Sequencing Hospitals Humans Kinases Laboratories Medical prognosis Medicine and Health Sciences Messenger RNA MicroRNA MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism Middle Aged miRNA Molecular modelling Obstetrics Pathogenesis Pathology Quality Ribonucleic acid RNA Sequence Analysis, RNA Stomach cancer Technology application Tissues Transcription Transcriptome Uterine cancer |
title | Integrated microRNA and mRNA transcriptome sequencing reveals the potential roles of miRNAs in stage I endometrioid endometrial carcinoma |
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