Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis
MicroRNA (miRNA) are small single-stranded noncoding RNA with important roles in regulating innate immunity in nonruminants via transcriptional and posttranscriptional mechanisms. Mastitis causes significant losses in the dairy industry and a wealth of large-scale mRNA expression data from mammary t...
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description | MicroRNA (miRNA) are small single-stranded noncoding RNA with important roles in regulating innate immunity in nonruminants via transcriptional and posttranscriptional mechanisms. Mastitis causes significant losses in the dairy industry and a wealth of large-scale mRNA expression data from mammary tissue have provided fundamental insights into the tissue adaptations to pathogens. We studied the expression of 14 miRNA (miR-10a, -15b, -16a, -17, -21, -31, -145, -146a, -146b, -155, -181a, -205, -221, and -223) associated with regulation of innate immunity and mammary epithelial cell function in tissue challenged with Streptococcus uberis. Those data, along with microarray expression of 2,102 differentially expressed genes, were used for bioinformatics analysis to uncover putative target genes and the most affected biological pathways and functions. Three miRNA (181a, 16, and 31) were downregulated approximately 3- to 5-fold and miR-223 was upregulated approximately 2.5-fold in infected versus healthy tissue. Among differentially expressed genes due to infection, bioinformatics analysis revealed that the studied miRNA share in the regulation of a large number of metabolic (SCD, CD36, GPAM, and FASN), immune/oxidative stress (TNF, IL6, IL10, SOD2, LYZ, and TLR4), and cellular proliferation/differentiation (FOS and CASP4) target genes. This level of complex regulation was underscored by the coordinate effect revealed by bioinformatics on various cellular pathways within the Kyoto Encyclopedia of Genes and Genomes database. Most pathways associated with “cellular processes,” “organismal systems,” and “diseases” were activated by putative target genes of miR-31and miR-16a, with an overlapping activation of “immune system” and “signal transduction.” A pronounced effect and activation of miR-31 target genes was observed within “folding, sorting, and degradation,” “cell growth and death,” and “cell communication” pathways, whereas a marked inhibition of “lipid metabolism” occurred. Putative targets of miR-181a had a strong effect on FcγR-mediated phagocytosis, toll-like receptor signaling, and antigen processing and presentation, which were activated during intramammary infections. The targets of both miR-31 and miR-223 had an inhibitory effect on “lipid metabolism.” Overall, the combined analyses indicated that changes in mammary tissue immune, metabolic, and cell growth-related signaling pathways during infection might have been mediated in part through effects of |
doi_str_mv | 10.3168/jds.2011-5173 |
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Mastitis causes significant losses in the dairy industry and a wealth of large-scale mRNA expression data from mammary tissue have provided fundamental insights into the tissue adaptations to pathogens. We studied the expression of 14 miRNA (miR-10a, -15b, -16a, -17, -21, -31, -145, -146a, -146b, -155, -181a, -205, -221, and -223) associated with regulation of innate immunity and mammary epithelial cell function in tissue challenged with Streptococcus uberis. Those data, along with microarray expression of 2,102 differentially expressed genes, were used for bioinformatics analysis to uncover putative target genes and the most affected biological pathways and functions. Three miRNA (181a, 16, and 31) were downregulated approximately 3- to 5-fold and miR-223 was upregulated approximately 2.5-fold in infected versus healthy tissue. Among differentially expressed genes due to infection, bioinformatics analysis revealed that the studied miRNA share in the regulation of a large number of metabolic (SCD, CD36, GPAM, and FASN), immune/oxidative stress (TNF, IL6, IL10, SOD2, LYZ, and TLR4), and cellular proliferation/differentiation (FOS and CASP4) target genes. This level of complex regulation was underscored by the coordinate effect revealed by bioinformatics on various cellular pathways within the Kyoto Encyclopedia of Genes and Genomes database. Most pathways associated with “cellular processes,” “organismal systems,” and “diseases” were activated by putative target genes of miR-31and miR-16a, with an overlapping activation of “immune system” and “signal transduction.” A pronounced effect and activation of miR-31 target genes was observed within “folding, sorting, and degradation,” “cell growth and death,” and “cell communication” pathways, whereas a marked inhibition of “lipid metabolism” occurred. Putative targets of miR-181a had a strong effect on FcγR-mediated phagocytosis, toll-like receptor signaling, and antigen processing and presentation, which were activated during intramammary infections. The targets of both miR-31 and miR-223 had an inhibitory effect on “lipid metabolism.” Overall, the combined analyses indicated that changes in mammary tissue immune, metabolic, and cell growth-related signaling pathways during infection might have been mediated in part through effects of miRNA on gene transcription. Differential expression of miRNA supports the view from nonruminant cells/tissues that certain miRNA might be essential for the tissue’s adaptive response to infection.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2011-5173</identifier><identifier>PMID: 22959936</identifier><identifier>CODEN: JDSCAE</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Animal productions ; Animals ; antigens ; bioinformatics ; Biological and medical sciences ; Cattle ; cell growth ; cell proliferation ; Computational Biology ; dairy industry ; epithelial cells ; Female ; Food industries ; Fundamental and applied biological sciences. Psychology ; gene expression ; gene expression regulation ; Gene Expression Regulation - genetics ; genes ; Genes - genetics ; immune system ; Immunity, Innate - genetics ; interleukin-10 ; interleukin-6 ; lipid metabolism ; mammary glands ; Mammary Glands, Animal - metabolism ; Mammary Glands, Animal - microbiology ; mastitis ; Mastitis, Bovine - genetics ; Mastitis, Bovine - microbiology ; messenger RNA ; microarray technology ; microRNA ; MicroRNAs - analysis ; MicroRNAs - genetics ; Milk and cheese industries. Ice creams ; monogastric livestock ; non-coding RNA ; oxidative stress ; Oxidative Stress - genetics ; pathogens ; phagocytosis ; Real-Time Polymerase Chain Reaction - veterinary ; signal transduction ; sorting ; Streptococcal Infections - genetics ; Streptococcal Infections - metabolism ; Streptococcal Infections - microbiology ; Streptococcal Infections - veterinary ; Streptococcus ; Streptococcus uberis ; Terrestrial animal productions ; transcription (genetics) ; tumor necrosis factors ; Vertebrates</subject><ispartof>Journal of dairy science, 2012-11, Vol.95 (11), p.6397-6408</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-d3bf7e973d8d64f6ce0b5258c656e96ac880ddf315270a001ee942448f88ef643</citedby><cites>FETCH-LOGICAL-c386t-d3bf7e973d8d64f6ce0b5258c656e96ac880ddf315270a001ee942448f88ef643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26471334$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22959936$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Naeem, A</creatorcontrib><creatorcontrib>Zhong, K</creatorcontrib><creatorcontrib>Moisá, S.J</creatorcontrib><creatorcontrib>Drackley, J.K</creatorcontrib><creatorcontrib>Moyes, K.M</creatorcontrib><creatorcontrib>Loor, J.J</creatorcontrib><title>Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>MicroRNA (miRNA) are small single-stranded noncoding RNA with important roles in regulating innate immunity in nonruminants via transcriptional and posttranscriptional mechanisms. Mastitis causes significant losses in the dairy industry and a wealth of large-scale mRNA expression data from mammary tissue have provided fundamental insights into the tissue adaptations to pathogens. We studied the expression of 14 miRNA (miR-10a, -15b, -16a, -17, -21, -31, -145, -146a, -146b, -155, -181a, -205, -221, and -223) associated with regulation of innate immunity and mammary epithelial cell function in tissue challenged with Streptococcus uberis. Those data, along with microarray expression of 2,102 differentially expressed genes, were used for bioinformatics analysis to uncover putative target genes and the most affected biological pathways and functions. Three miRNA (181a, 16, and 31) were downregulated approximately 3- to 5-fold and miR-223 was upregulated approximately 2.5-fold in infected versus healthy tissue. Among differentially expressed genes due to infection, bioinformatics analysis revealed that the studied miRNA share in the regulation of a large number of metabolic (SCD, CD36, GPAM, and FASN), immune/oxidative stress (TNF, IL6, IL10, SOD2, LYZ, and TLR4), and cellular proliferation/differentiation (FOS and CASP4) target genes. This level of complex regulation was underscored by the coordinate effect revealed by bioinformatics on various cellular pathways within the Kyoto Encyclopedia of Genes and Genomes database. Most pathways associated with “cellular processes,” “organismal systems,” and “diseases” were activated by putative target genes of miR-31and miR-16a, with an overlapping activation of “immune system” and “signal transduction.” A pronounced effect and activation of miR-31 target genes was observed within “folding, sorting, and degradation,” “cell growth and death,” and “cell communication” pathways, whereas a marked inhibition of “lipid metabolism” occurred. Putative targets of miR-181a had a strong effect on FcγR-mediated phagocytosis, toll-like receptor signaling, and antigen processing and presentation, which were activated during intramammary infections. The targets of both miR-31 and miR-223 had an inhibitory effect on “lipid metabolism.” Overall, the combined analyses indicated that changes in mammary tissue immune, metabolic, and cell growth-related signaling pathways during infection might have been mediated in part through effects of miRNA on gene transcription. Differential expression of miRNA supports the view from nonruminant cells/tissues that certain miRNA might be essential for the tissue’s adaptive response to infection.</description><subject>Animal productions</subject><subject>Animals</subject><subject>antigens</subject><subject>bioinformatics</subject><subject>Biological and medical sciences</subject><subject>Cattle</subject><subject>cell growth</subject><subject>cell proliferation</subject><subject>Computational Biology</subject><subject>dairy industry</subject><subject>epithelial cells</subject><subject>Female</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>gene expression</subject><subject>gene expression regulation</subject><subject>Gene Expression Regulation - genetics</subject><subject>genes</subject><subject>Genes - genetics</subject><subject>immune system</subject><subject>Immunity, Innate - genetics</subject><subject>interleukin-10</subject><subject>interleukin-6</subject><subject>lipid metabolism</subject><subject>mammary glands</subject><subject>Mammary Glands, Animal - metabolism</subject><subject>Mammary Glands, Animal - microbiology</subject><subject>mastitis</subject><subject>Mastitis, Bovine - genetics</subject><subject>Mastitis, Bovine - microbiology</subject><subject>messenger RNA</subject><subject>microarray technology</subject><subject>microRNA</subject><subject>MicroRNAs - analysis</subject><subject>MicroRNAs - genetics</subject><subject>Milk and cheese industries. Ice creams</subject><subject>monogastric livestock</subject><subject>non-coding RNA</subject><subject>oxidative stress</subject><subject>Oxidative Stress - genetics</subject><subject>pathogens</subject><subject>phagocytosis</subject><subject>Real-Time Polymerase Chain Reaction - veterinary</subject><subject>signal transduction</subject><subject>sorting</subject><subject>Streptococcal Infections - genetics</subject><subject>Streptococcal Infections - metabolism</subject><subject>Streptococcal Infections - microbiology</subject><subject>Streptococcal Infections - veterinary</subject><subject>Streptococcus</subject><subject>Streptococcus uberis</subject><subject>Terrestrial animal productions</subject><subject>transcription (genetics)</subject><subject>tumor necrosis factors</subject><subject>Vertebrates</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkU1v1DAQhi0EosvCkSv4gsQlrT8SxzmWii-pohKlZ8txxourJF48Tqv99zjahZ6ssR_NzPuYkLecnUuu9MX9gOeCcV41vJXPyIY3oqkk7_RzsmFMiIpJJs7IK8T7UnLBmpfkTIiu6TqpNuTwKcQw-5gmm4NDamc7HjAgjZ5OwaX488dluRzofsmFeACabdpBpjuYAWmYaR8fwgx0stNk04HmgLhAefDgMgz0MeTf9DYn2OfoonML0qWHFPA1eeHtiPDmdG7J3ZfPv66-Vdc3X79fXV5XTmqVq0H2voWulYMeVO2VA9aXiNqpRkGnrNOaDYOXJXfLLGMcoKtFXWuvNXhVyy35eOy7T_HPApjNFNDBONoZ4oKGc163rOmKvi2pjmjJjZjAm30KayrDmVltm2LbrLbNarvw706tl36C4T_9T28BPpwAi86OPtnZBXziVN1yKdcd3x85b6Oxu2LH3N2WOQ0rf6ZLNvkXKrWS-Q</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Naeem, A</creator><creator>Zhong, K</creator><creator>Moisá, S.J</creator><creator>Drackley, J.K</creator><creator>Moyes, K.M</creator><creator>Loor, J.J</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><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></search><sort><creationdate>20121101</creationdate><title>Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis</title><author>Naeem, A ; Zhong, K ; Moisá, S.J ; Drackley, J.K ; Moyes, K.M ; Loor, J.J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-d3bf7e973d8d64f6ce0b5258c656e96ac880ddf315270a001ee942448f88ef643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Animal productions</topic><topic>Animals</topic><topic>antigens</topic><topic>bioinformatics</topic><topic>Biological and medical sciences</topic><topic>Cattle</topic><topic>cell growth</topic><topic>cell proliferation</topic><topic>Computational Biology</topic><topic>dairy industry</topic><topic>epithelial cells</topic><topic>Female</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>gene expression</topic><topic>gene expression regulation</topic><topic>Gene Expression Regulation - genetics</topic><topic>genes</topic><topic>Genes - genetics</topic><topic>immune system</topic><topic>Immunity, Innate - genetics</topic><topic>interleukin-10</topic><topic>interleukin-6</topic><topic>lipid metabolism</topic><topic>mammary glands</topic><topic>Mammary Glands, Animal - metabolism</topic><topic>Mammary Glands, Animal - microbiology</topic><topic>mastitis</topic><topic>Mastitis, Bovine - genetics</topic><topic>Mastitis, Bovine - microbiology</topic><topic>messenger RNA</topic><topic>microarray technology</topic><topic>microRNA</topic><topic>MicroRNAs - analysis</topic><topic>MicroRNAs - genetics</topic><topic>Milk and cheese industries. Ice creams</topic><topic>monogastric livestock</topic><topic>non-coding RNA</topic><topic>oxidative stress</topic><topic>Oxidative Stress - genetics</topic><topic>pathogens</topic><topic>phagocytosis</topic><topic>Real-Time Polymerase Chain Reaction - veterinary</topic><topic>signal transduction</topic><topic>sorting</topic><topic>Streptococcal Infections - genetics</topic><topic>Streptococcal Infections - metabolism</topic><topic>Streptococcal Infections - microbiology</topic><topic>Streptococcal Infections - veterinary</topic><topic>Streptococcus</topic><topic>Streptococcus uberis</topic><topic>Terrestrial animal productions</topic><topic>transcription (genetics)</topic><topic>tumor necrosis factors</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Naeem, A</creatorcontrib><creatorcontrib>Zhong, K</creatorcontrib><creatorcontrib>Moisá, S.J</creatorcontrib><creatorcontrib>Drackley, J.K</creatorcontrib><creatorcontrib>Moyes, K.M</creatorcontrib><creatorcontrib>Loor, J.J</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><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><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Naeem, A</au><au>Zhong, K</au><au>Moisá, S.J</au><au>Drackley, J.K</au><au>Moyes, K.M</au><au>Loor, J.J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2012-11-01</date><risdate>2012</risdate><volume>95</volume><issue>11</issue><spage>6397</spage><epage>6408</epage><pages>6397-6408</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>MicroRNA (miRNA) are small single-stranded noncoding RNA with important roles in regulating innate immunity in nonruminants via transcriptional and posttranscriptional mechanisms. Mastitis causes significant losses in the dairy industry and a wealth of large-scale mRNA expression data from mammary tissue have provided fundamental insights into the tissue adaptations to pathogens. We studied the expression of 14 miRNA (miR-10a, -15b, -16a, -17, -21, -31, -145, -146a, -146b, -155, -181a, -205, -221, and -223) associated with regulation of innate immunity and mammary epithelial cell function in tissue challenged with Streptococcus uberis. Those data, along with microarray expression of 2,102 differentially expressed genes, were used for bioinformatics analysis to uncover putative target genes and the most affected biological pathways and functions. Three miRNA (181a, 16, and 31) were downregulated approximately 3- to 5-fold and miR-223 was upregulated approximately 2.5-fold in infected versus healthy tissue. Among differentially expressed genes due to infection, bioinformatics analysis revealed that the studied miRNA share in the regulation of a large number of metabolic (SCD, CD36, GPAM, and FASN), immune/oxidative stress (TNF, IL6, IL10, SOD2, LYZ, and TLR4), and cellular proliferation/differentiation (FOS and CASP4) target genes. This level of complex regulation was underscored by the coordinate effect revealed by bioinformatics on various cellular pathways within the Kyoto Encyclopedia of Genes and Genomes database. Most pathways associated with “cellular processes,” “organismal systems,” and “diseases” were activated by putative target genes of miR-31and miR-16a, with an overlapping activation of “immune system” and “signal transduction.” A pronounced effect and activation of miR-31 target genes was observed within “folding, sorting, and degradation,” “cell growth and death,” and “cell communication” pathways, whereas a marked inhibition of “lipid metabolism” occurred. Putative targets of miR-181a had a strong effect on FcγR-mediated phagocytosis, toll-like receptor signaling, and antigen processing and presentation, which were activated during intramammary infections. The targets of both miR-31 and miR-223 had an inhibitory effect on “lipid metabolism.” Overall, the combined analyses indicated that changes in mammary tissue immune, metabolic, and cell growth-related signaling pathways during infection might have been mediated in part through effects of miRNA on gene transcription. Differential expression of miRNA supports the view from nonruminant cells/tissues that certain miRNA might be essential for the tissue’s adaptive response to infection.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>22959936</pmid><doi>10.3168/jds.2011-5173</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal productions Animals antigens bioinformatics Biological and medical sciences Cattle cell growth cell proliferation Computational Biology dairy industry epithelial cells Female Food industries Fundamental and applied biological sciences. Psychology gene expression gene expression regulation Gene Expression Regulation - genetics genes Genes - genetics immune system Immunity, Innate - genetics interleukin-10 interleukin-6 lipid metabolism mammary glands Mammary Glands, Animal - metabolism Mammary Glands, Animal - microbiology mastitis Mastitis, Bovine - genetics Mastitis, Bovine - microbiology messenger RNA microarray technology microRNA MicroRNAs - analysis MicroRNAs - genetics Milk and cheese industries. Ice creams monogastric livestock non-coding RNA oxidative stress Oxidative Stress - genetics pathogens phagocytosis Real-Time Polymerase Chain Reaction - veterinary signal transduction sorting Streptococcal Infections - genetics Streptococcal Infections - metabolism Streptococcal Infections - microbiology Streptococcal Infections - veterinary Streptococcus Streptococcus uberis Terrestrial animal productions transcription (genetics) tumor necrosis factors Vertebrates |
title | Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis |
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