Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma
The main aim of this study was to explore the underlying molecular mechanisms and potential target molecules of pancreatic adenocarcinoma. The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene...
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Veröffentlicht in: | Genetics and molecular research 2015-08, Vol.14 (3), p.10288-10297 |
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creator | Liu, P F Jiang, W H Han, Y T He, L F Zhang, H L Ren, H |
description | The main aim of this study was to explore the underlying molecular mechanisms and potential target molecules of pancreatic adenocarcinoma. The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNA and differentially expressed genes were identified by analyzing the microarray algorithm after data preprocessing. Functional analysis was conducted by the Database for Annotation, Visualization and Integrated Analysis. miRNA-mRNA regulation pairs were obtained in TarMir database. The node degree of hsa-miR-200c, hsa-miR-429, and hsa-miR-200b (miRNA), and EFNB2, MYRIP, and PHF17 (mRNA) were extremely high in the miRNA-mRNA network, indicating that these miRNA and mRNA may play a key role in the development of pancreatic cancer. Our study screened out some target miRNAs and mRNAs for pancreatic ductal adenocarcinoma, which may be helpful in its diagnosis and treatment. |
doi_str_mv | 10.4238/2015.august.28.14 |
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The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNA and differentially expressed genes were identified by analyzing the microarray algorithm after data preprocessing. Functional analysis was conducted by the Database for Annotation, Visualization and Integrated Analysis. miRNA-mRNA regulation pairs were obtained in TarMir database. The node degree of hsa-miR-200c, hsa-miR-429, and hsa-miR-200b (miRNA), and EFNB2, MYRIP, and PHF17 (mRNA) were extremely high in the miRNA-mRNA network, indicating that these miRNA and mRNA may play a key role in the development of pancreatic cancer. Our study screened out some target miRNAs and mRNAs for pancreatic ductal adenocarcinoma, which may be helpful in its diagnosis and treatment.</description><identifier>ISSN: 1676-5680</identifier><identifier>EISSN: 1676-5680</identifier><identifier>DOI: 10.4238/2015.august.28.14</identifier><identifier>PMID: 26345967</identifier><language>eng</language><publisher>Brazil</publisher><subject>Carcinoma, Pancreatic Ductal - genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Humans ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Oligonucleotide Array Sequence Analysis ; Pancreatic Neoplasms ; Pancreatic Neoplasms - genetics ; Reference Standards ; RNA, Messenger - genetics ; RNA, Messenger - metabolism</subject><ispartof>Genetics and molecular research, 2015-08, Vol.14 (3), p.10288-10297</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-e280d723ad66417b44fa93fab9ff4ce4fe0257570d36c10b1bd417ec289ec7d83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26345967$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, P F</creatorcontrib><creatorcontrib>Jiang, W H</creatorcontrib><creatorcontrib>Han, Y T</creatorcontrib><creatorcontrib>He, L F</creatorcontrib><creatorcontrib>Zhang, H L</creatorcontrib><creatorcontrib>Ren, H</creatorcontrib><title>Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma</title><title>Genetics and molecular research</title><addtitle>Genet Mol Res</addtitle><description>The main aim of this study was to explore the underlying molecular mechanisms and potential target molecules of pancreatic adenocarcinoma. The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNA and differentially expressed genes were identified by analyzing the microarray algorithm after data preprocessing. Functional analysis was conducted by the Database for Annotation, Visualization and Integrated Analysis. miRNA-mRNA regulation pairs were obtained in TarMir database. The node degree of hsa-miR-200c, hsa-miR-429, and hsa-miR-200b (miRNA), and EFNB2, MYRIP, and PHF17 (mRNA) were extremely high in the miRNA-mRNA network, indicating that these miRNA and mRNA may play a key role in the development of pancreatic cancer. Our study screened out some target miRNAs and mRNAs for pancreatic ductal adenocarcinoma, which may be helpful in its diagnosis and treatment.</description><subject>Carcinoma, Pancreatic Ductal - genetics</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Regulatory Networks</subject><subject>Humans</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Pancreatic Neoplasms</subject><subject>Pancreatic Neoplasms - genetics</subject><subject>Reference Standards</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><issn>1676-5680</issn><issn>1676-5680</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkD1PwzAQhi0EoqXwA1hQRpYEf8V2xqpqoVIFEoLZuvijCspHsZOh_56UFsTIcnfD857uHoRuCc44ZeqBYpJnMGyH2GdUZYSfoSkRUqS5UPj8zzxBVzF-YExzrvAlmlDBeF4IOUXLddu7bYDe2aSpTOhen-dpM5YEWqj3sYpJ55MdtCY46CuT2MH0UCdgXdsZCKZquwau0YWHOrqbU5-h99XybfGUbl4e14v5JjWcsz51VGErKQMrBCey5NxDwTyUhffcOO7deKHMJbZMGIJLUtoRc4aqwhlpFZuh--PeXeg-Bxd73VTRuLqG1nVD1ERSSkSOKf4HSrDIeUEOKDmi4_sxBuf1LlQNhL0mWB9E64NoPf8WranShI-Zu9P6oWyc_U38mGVfMXl6Sg</recordid><startdate>20150828</startdate><enddate>20150828</enddate><creator>Liu, P F</creator><creator>Jiang, W H</creator><creator>Han, Y T</creator><creator>He, L F</creator><creator>Zhang, H L</creator><creator>Ren, H</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20150828</creationdate><title>Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma</title><author>Liu, P F ; Jiang, W H ; Han, Y T ; He, L F ; Zhang, H L ; Ren, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-e280d723ad66417b44fa93fab9ff4ce4fe0257570d36c10b1bd417ec289ec7d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Carcinoma, Pancreatic Ductal - genetics</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Regulatory Networks</topic><topic>Humans</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Pancreatic Neoplasms</topic><topic>Pancreatic Neoplasms - genetics</topic><topic>Reference Standards</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, P F</creatorcontrib><creatorcontrib>Jiang, W H</creatorcontrib><creatorcontrib>Han, Y T</creatorcontrib><creatorcontrib>He, L F</creatorcontrib><creatorcontrib>Zhang, H L</creatorcontrib><creatorcontrib>Ren, H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Genetics and molecular research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, P F</au><au>Jiang, W H</au><au>Han, Y T</au><au>He, L F</au><au>Zhang, H L</au><au>Ren, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma</atitle><jtitle>Genetics and molecular research</jtitle><addtitle>Genet Mol Res</addtitle><date>2015-08-28</date><risdate>2015</risdate><volume>14</volume><issue>3</issue><spage>10288</spage><epage>10297</epage><pages>10288-10297</pages><issn>1676-5680</issn><eissn>1676-5680</eissn><abstract>The main aim of this study was to explore the underlying molecular mechanisms and potential target molecules of pancreatic adenocarcinoma. The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNA and differentially expressed genes were identified by analyzing the microarray algorithm after data preprocessing. Functional analysis was conducted by the Database for Annotation, Visualization and Integrated Analysis. miRNA-mRNA regulation pairs were obtained in TarMir database. The node degree of hsa-miR-200c, hsa-miR-429, and hsa-miR-200b (miRNA), and EFNB2, MYRIP, and PHF17 (mRNA) were extremely high in the miRNA-mRNA network, indicating that these miRNA and mRNA may play a key role in the development of pancreatic cancer. Our study screened out some target miRNAs and mRNAs for pancreatic ductal adenocarcinoma, which may be helpful in its diagnosis and treatment.</abstract><cop>Brazil</cop><pmid>26345967</pmid><doi>10.4238/2015.august.28.14</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Carcinoma, Pancreatic Ductal - genetics Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans MicroRNAs - genetics MicroRNAs - metabolism Oligonucleotide Array Sequence Analysis Pancreatic Neoplasms Pancreatic Neoplasms - genetics Reference Standards RNA, Messenger - genetics RNA, Messenger - metabolism |
title | Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma |
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