Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing
The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammar...
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creator | Cánovas, Angela Rincón, Gonzalo Bevilacqua, Claudia Islas-Trejo, Alma Brenaut, Pauline Hovey, Russell C. Boutinaud, Marion Morgenthaler, Caroline VanKlompenberg, Monica K. Martin, Patrice Medrano, Juan F. |
description | The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammary gland transcriptome using RNA-Sequencing. Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy. |
doi_str_mv | 10.1038/srep05297 |
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Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep05297</identifier><identifier>PMID: 25001089</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13 ; 38 ; 45 ; 45/91 ; 631/208/199 ; 631/208/514/1949 ; Algorithms ; Animals ; Base Sequence ; Biopsy ; Breastfeeding & lactation ; Breasts ; Cattle ; Epithelial cells ; Gene expression ; Humanities and Social Sciences ; Lactation ; Lactation - physiology ; Life Sciences ; Mammary gland ; Mammary Glands, Animal - physiology ; Milk ; Milk fat globule membranes ; Molecular Sequence Data ; multidisciplinary ; Ribonucleic acid ; RNA ; RNA - genetics ; Sampling ; Sampling methods ; Science ; Sequence Analysis, RNA - methods ; Somatic cells ; Transcription Factors - genetics ; Transcription Factors - metabolism ; Transcriptome - physiology</subject><ispartof>Scientific reports, 2014-07, Vol.4 (1), p.5297-5297, Article 5297</ispartof><rights>The Author(s) 2014</rights><rights>Copyright Nature Publishing Group Jul 2014</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2014, Macmillan Publishers Limited. All rights reserved 2014 Macmillan Publishers Limited. All rights reserved</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-c82daf26bec089555a13345b485c9039901a9fc5367c14611fac7ecd3e2cbb043</citedby><cites>FETCH-LOGICAL-c472t-c82daf26bec089555a13345b485c9039901a9fc5367c14611fac7ecd3e2cbb043</cites><orcidid>0000-0003-0820-0966 ; 0000-0003-0423-4624</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381611/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381611/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,41125,42194,51581,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25001089$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01193860$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Cánovas, Angela</creatorcontrib><creatorcontrib>Rincón, Gonzalo</creatorcontrib><creatorcontrib>Bevilacqua, Claudia</creatorcontrib><creatorcontrib>Islas-Trejo, Alma</creatorcontrib><creatorcontrib>Brenaut, Pauline</creatorcontrib><creatorcontrib>Hovey, Russell C.</creatorcontrib><creatorcontrib>Boutinaud, Marion</creatorcontrib><creatorcontrib>Morgenthaler, Caroline</creatorcontrib><creatorcontrib>VanKlompenberg, Monica K.</creatorcontrib><creatorcontrib>Martin, Patrice</creatorcontrib><creatorcontrib>Medrano, Juan F.</creatorcontrib><title>Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammary gland transcriptome using RNA-Sequencing. Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy.</description><subject>13</subject><subject>38</subject><subject>45</subject><subject>45/91</subject><subject>631/208/199</subject><subject>631/208/514/1949</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Base Sequence</subject><subject>Biopsy</subject><subject>Breastfeeding & lactation</subject><subject>Breasts</subject><subject>Cattle</subject><subject>Epithelial cells</subject><subject>Gene expression</subject><subject>Humanities and Social Sciences</subject><subject>Lactation</subject><subject>Lactation - physiology</subject><subject>Life Sciences</subject><subject>Mammary gland</subject><subject>Mammary Glands, Animal - physiology</subject><subject>Milk</subject><subject>Milk fat globule membranes</subject><subject>Molecular Sequence Data</subject><subject>multidisciplinary</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA - 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physiology</topic><topic>Life Sciences</topic><topic>Mammary gland</topic><topic>Mammary Glands, Animal - physiology</topic><topic>Milk</topic><topic>Milk fat globule membranes</topic><topic>Molecular Sequence Data</topic><topic>multidisciplinary</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA - genetics</topic><topic>Sampling</topic><topic>Sampling methods</topic><topic>Science</topic><topic>Sequence Analysis, RNA - methods</topic><topic>Somatic cells</topic><topic>Transcription Factors - genetics</topic><topic>Transcription Factors - metabolism</topic><topic>Transcriptome - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cánovas, Angela</creatorcontrib><creatorcontrib>Rincón, Gonzalo</creatorcontrib><creatorcontrib>Bevilacqua, Claudia</creatorcontrib><creatorcontrib>Islas-Trejo, Alma</creatorcontrib><creatorcontrib>Brenaut, Pauline</creatorcontrib><creatorcontrib>Hovey, Russell C.</creatorcontrib><creatorcontrib>Boutinaud, Marion</creatorcontrib><creatorcontrib>Morgenthaler, Caroline</creatorcontrib><creatorcontrib>VanKlompenberg, Monica K.</creatorcontrib><creatorcontrib>Martin, Patrice</creatorcontrib><creatorcontrib>Medrano, Juan F.</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cánovas, Angela</au><au>Rincón, Gonzalo</au><au>Bevilacqua, Claudia</au><au>Islas-Trejo, Alma</au><au>Brenaut, Pauline</au><au>Hovey, Russell C.</au><au>Boutinaud, Marion</au><au>Morgenthaler, Caroline</au><au>VanKlompenberg, Monica K.</au><au>Martin, Patrice</au><au>Medrano, Juan F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2014-07-08</date><risdate>2014</risdate><volume>4</volume><issue>1</issue><spage>5297</spage><epage>5297</epage><pages>5297-5297</pages><artnum>5297</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammary gland transcriptome using RNA-Sequencing. Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25001089</pmid><doi>10.1038/srep05297</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0820-0966</orcidid><orcidid>https://orcid.org/0000-0003-0423-4624</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 13 38 45 45/91 631/208/199 631/208/514/1949 Algorithms Animals Base Sequence Biopsy Breastfeeding & lactation Breasts Cattle Epithelial cells Gene expression Humanities and Social Sciences Lactation Lactation - physiology Life Sciences Mammary gland Mammary Glands, Animal - physiology Milk Milk fat globule membranes Molecular Sequence Data multidisciplinary Ribonucleic acid RNA RNA - genetics Sampling Sampling methods Science Sequence Analysis, RNA - methods Somatic cells Transcription Factors - genetics Transcription Factors - metabolism Transcriptome - physiology |
title | Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing |
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