Transcriptome analysis of in vivo and in vitro matured bovine MII oocytes
In vitro maturation (IVM) of mammalian oocytes does not support the same rates of embryo development or pregnancy when compared to oocytes that have matured in vivo. Therefore, environment has a significant influence on the oocyte's ability to complete maturation and acquire the mRNA and protei...
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| Veröffentlicht in: | Theriogenology 2009-04, Vol.71 (6), p.939-946 |
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| creator | Katz-Jaffe, M.G. McCallie, B.R. Preis, K.A. Filipovits, J. Gardner, D.K. |
| description | In vitro maturation (IVM) of mammalian oocytes does not support the same rates of embryo development or pregnancy when compared to oocytes that have matured in vivo. Therefore, environment has a significant influence on the oocyte's ability to complete maturation and acquire the mRNA and proteins required for successful fertilization and normal embryonic development. The aim of this study was to analyze the MII oocyte transcriptome between in vivo and in vitro conditions. Total RNA was extracted, processed and hybridized to the Affymetrix GeneChip
® Bovine Genome Array. Following normalization of the microarray data, analysis revealed 10 differentially expressed genes after IVM compared to in vivo matured controls, including
Aqp3,
Sept7,
Abhd4 and
Siah2 (
P
<
0.05). K-means cluster analysis coupled with associated gene ontology, identified several biological processes affected by IVM, including metabolism, energy pathways, cell organization and biogenesis, and cell growth and maintenance. Quantitative real-time PCR validated the microarray data and also revealed altered expression levels after IVM of specific putatively imprinted genes,
Igf2r,
Peg3 and
Snrpn (
P
<
0.05). Distinct IVM transcription patterns reflected the oocyte's response to its surrounding environment. Monitoring transcription levels of key oocyte maturation genes may subsequently assist in improving IVM success. |
| doi_str_mv | 10.1016/j.theriogenology.2008.10.024 |
| format | Article |
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® Bovine Genome Array. Following normalization of the microarray data, analysis revealed 10 differentially expressed genes after IVM compared to in vivo matured controls, including
Aqp3,
Sept7,
Abhd4 and
Siah2 (
P
<
0.05). K-means cluster analysis coupled with associated gene ontology, identified several biological processes affected by IVM, including metabolism, energy pathways, cell organization and biogenesis, and cell growth and maintenance. Quantitative real-time PCR validated the microarray data and also revealed altered expression levels after IVM of specific putatively imprinted genes,
Igf2r,
Peg3 and
Snrpn (
P
<
0.05). Distinct IVM transcription patterns reflected the oocyte's response to its surrounding environment. Monitoring transcription levels of key oocyte maturation genes may subsequently assist in improving IVM success.</description><identifier>ISSN: 0093-691X</identifier><identifier>EISSN: 1879-3231</identifier><identifier>DOI: 10.1016/j.theriogenology.2008.10.024</identifier><identifier>PMID: 19150733</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; bioinformatics ; Bovine oocyte ; Carbohydrate Metabolism ; Cattle ; Energy Metabolism ; Female ; gene expression ; Gene Expression Profiling - veterinary ; In vitro maturation ; in vitro oocyte maturation ; in vitro studies ; In Vitro Techniques ; In vivo ; in vivo oocyte maturation ; in vivo studies ; meiosis ; microarray technology ; MII stage ; Oligonucleotide Array Sequence Analysis - veterinary ; oocytes ; Oocytes - chemistry ; Oocytes - growth & development ; Oocytes - metabolism ; Polymerase Chain Reaction - veterinary ; RNA ; transcription (genetics) ; Transcriptome ; transcriptomics</subject><ispartof>Theriogenology, 2009-04, Vol.71 (6), p.939-946</ispartof><rights>2009 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-95e9bc911c35afec721a741eb49760c39b6984ebb9a5a321423e425a6e6fa93a3</citedby><cites>FETCH-LOGICAL-c474t-95e9bc911c35afec721a741eb49760c39b6984ebb9a5a321423e425a6e6fa93a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0093691X08007462$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19150733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Katz-Jaffe, M.G.</creatorcontrib><creatorcontrib>McCallie, B.R.</creatorcontrib><creatorcontrib>Preis, K.A.</creatorcontrib><creatorcontrib>Filipovits, J.</creatorcontrib><creatorcontrib>Gardner, D.K.</creatorcontrib><title>Transcriptome analysis of in vivo and in vitro matured bovine MII oocytes</title><title>Theriogenology</title><addtitle>Theriogenology</addtitle><description>In vitro maturation (IVM) of mammalian oocytes does not support the same rates of embryo development or pregnancy when compared to oocytes that have matured in vivo. Therefore, environment has a significant influence on the oocyte's ability to complete maturation and acquire the mRNA and proteins required for successful fertilization and normal embryonic development. The aim of this study was to analyze the MII oocyte transcriptome between in vivo and in vitro conditions. Total RNA was extracted, processed and hybridized to the Affymetrix GeneChip
® Bovine Genome Array. Following normalization of the microarray data, analysis revealed 10 differentially expressed genes after IVM compared to in vivo matured controls, including
Aqp3,
Sept7,
Abhd4 and
Siah2 (
P
<
0.05). K-means cluster analysis coupled with associated gene ontology, identified several biological processes affected by IVM, including metabolism, energy pathways, cell organization and biogenesis, and cell growth and maintenance. Quantitative real-time PCR validated the microarray data and also revealed altered expression levels after IVM of specific putatively imprinted genes,
Igf2r,
Peg3 and
Snrpn (
P
<
0.05). Distinct IVM transcription patterns reflected the oocyte's response to its surrounding environment. Monitoring transcription levels of key oocyte maturation genes may subsequently assist in improving IVM success.</description><subject>Animals</subject><subject>bioinformatics</subject><subject>Bovine oocyte</subject><subject>Carbohydrate Metabolism</subject><subject>Cattle</subject><subject>Energy Metabolism</subject><subject>Female</subject><subject>gene expression</subject><subject>Gene Expression Profiling - veterinary</subject><subject>In vitro maturation</subject><subject>in vitro oocyte maturation</subject><subject>in vitro studies</subject><subject>In Vitro Techniques</subject><subject>In vivo</subject><subject>in vivo oocyte maturation</subject><subject>in vivo studies</subject><subject>meiosis</subject><subject>microarray technology</subject><subject>MII stage</subject><subject>Oligonucleotide Array Sequence Analysis - veterinary</subject><subject>oocytes</subject><subject>Oocytes - chemistry</subject><subject>Oocytes - growth & development</subject><subject>Oocytes - metabolism</subject><subject>Polymerase Chain Reaction - veterinary</subject><subject>RNA</subject><subject>transcription (genetics)</subject><subject>Transcriptome</subject><subject>transcriptomics</subject><issn>0093-691X</issn><issn>1879-3231</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkE1LwzAYx4MoOqdfQXsQb515kjZdwIsMXwaKBxW8hTR9OjPaZibdYN_ejA7Em6eE_H_PS36EXAGdAAVxs5z0X-itW2DnGrfYThil0xhNKMsOyAimhUw543BIRpRKngoJnyfkNIQlpZQLAcfkBCTktOB8RObvXnfBeLvqXYuJ7nSzDTYkrk5sl2zsxsW3arj33iWt7tceq6R0G9th8jKfJ86ZbY_hjBzVugl4vj_H5OPh_n32lD6_Ps5nd8-pyYqsT2WOsjQSwPBc12gKBrrIAMtMFoIaLkshpxmWpdS55gwyxjFjuRYoai255mNyPfRdefe9xtCr1gaDTaM7dOugRBF97L46JrcDaLwLwWOtVt622m8VULVTqZbqr0q1U7lLo8pYfrGfsy5brH6L9-4icDkAtXZKL7wN6uONUeCxNc0Zg0g8DARGHxuLXgVjsTNYWY-mV5Wz_9vlBzR6l28</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Katz-Jaffe, M.G.</creator><creator>McCallie, B.R.</creator><creator>Preis, K.A.</creator><creator>Filipovits, J.</creator><creator>Gardner, D.K.</creator><general>Elsevier Inc</general><general>[Oxford]: Butterworth-Heinemann; [New York]: Elsevier Science</general><scope>FBQ</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>20090401</creationdate><title>Transcriptome analysis of in vivo and in vitro matured bovine MII oocytes</title><author>Katz-Jaffe, M.G. ; McCallie, B.R. ; Preis, K.A. ; Filipovits, J. ; Gardner, D.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-95e9bc911c35afec721a741eb49760c39b6984ebb9a5a321423e425a6e6fa93a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animals</topic><topic>bioinformatics</topic><topic>Bovine oocyte</topic><topic>Carbohydrate Metabolism</topic><topic>Cattle</topic><topic>Energy Metabolism</topic><topic>Female</topic><topic>gene expression</topic><topic>Gene Expression Profiling - veterinary</topic><topic>In vitro maturation</topic><topic>in vitro oocyte maturation</topic><topic>in vitro studies</topic><topic>In Vitro Techniques</topic><topic>In vivo</topic><topic>in vivo oocyte maturation</topic><topic>in vivo studies</topic><topic>meiosis</topic><topic>microarray technology</topic><topic>MII stage</topic><topic>Oligonucleotide Array Sequence Analysis - veterinary</topic><topic>oocytes</topic><topic>Oocytes - chemistry</topic><topic>Oocytes - growth & development</topic><topic>Oocytes - metabolism</topic><topic>Polymerase Chain Reaction - veterinary</topic><topic>RNA</topic><topic>transcription (genetics)</topic><topic>Transcriptome</topic><topic>transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Katz-Jaffe, M.G.</creatorcontrib><creatorcontrib>McCallie, B.R.</creatorcontrib><creatorcontrib>Preis, K.A.</creatorcontrib><creatorcontrib>Filipovits, J.</creatorcontrib><creatorcontrib>Gardner, D.K.</creatorcontrib><collection>AGRIS</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>Theriogenology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Katz-Jaffe, M.G.</au><au>McCallie, B.R.</au><au>Preis, K.A.</au><au>Filipovits, J.</au><au>Gardner, D.K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptome analysis of in vivo and in vitro matured bovine MII oocytes</atitle><jtitle>Theriogenology</jtitle><addtitle>Theriogenology</addtitle><date>2009-04-01</date><risdate>2009</risdate><volume>71</volume><issue>6</issue><spage>939</spage><epage>946</epage><pages>939-946</pages><issn>0093-691X</issn><eissn>1879-3231</eissn><abstract>In vitro maturation (IVM) of mammalian oocytes does not support the same rates of embryo development or pregnancy when compared to oocytes that have matured in vivo. Therefore, environment has a significant influence on the oocyte's ability to complete maturation and acquire the mRNA and proteins required for successful fertilization and normal embryonic development. The aim of this study was to analyze the MII oocyte transcriptome between in vivo and in vitro conditions. Total RNA was extracted, processed and hybridized to the Affymetrix GeneChip
® Bovine Genome Array. Following normalization of the microarray data, analysis revealed 10 differentially expressed genes after IVM compared to in vivo matured controls, including
Aqp3,
Sept7,
Abhd4 and
Siah2 (
P
<
0.05). K-means cluster analysis coupled with associated gene ontology, identified several biological processes affected by IVM, including metabolism, energy pathways, cell organization and biogenesis, and cell growth and maintenance. Quantitative real-time PCR validated the microarray data and also revealed altered expression levels after IVM of specific putatively imprinted genes,
Igf2r,
Peg3 and
Snrpn (
P
<
0.05). Distinct IVM transcription patterns reflected the oocyte's response to its surrounding environment. Monitoring transcription levels of key oocyte maturation genes may subsequently assist in improving IVM success.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>19150733</pmid><doi>10.1016/j.theriogenology.2008.10.024</doi><tpages>8</tpages></addata></record> |
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| subjects | Animals bioinformatics Bovine oocyte Carbohydrate Metabolism Cattle Energy Metabolism Female gene expression Gene Expression Profiling - veterinary In vitro maturation in vitro oocyte maturation in vitro studies In Vitro Techniques In vivo in vivo oocyte maturation in vivo studies meiosis microarray technology MII stage Oligonucleotide Array Sequence Analysis - veterinary oocytes Oocytes - chemistry Oocytes - growth & development Oocytes - metabolism Polymerase Chain Reaction - veterinary RNA transcription (genetics) Transcriptome transcriptomics |
| title | Transcriptome analysis of in vivo and in vitro matured bovine MII oocytes |
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