Protein profile changes during porcine oocyte aging and effects of caffeine on protein expression patterns
It has been shown that oocyte aging critically affects reproduction and development. By using proteomic tools, in the present study, changes in protein profiles during porcine oocyte aging and effects of caffeine on oocyte aging were investigated. By comparing control MII oocytes with aging MII oocy...
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description | It has been shown that oocyte aging critically affects reproduction and development. By using proteomic tools, in the present study, changes in protein profiles during porcine oocyte aging and effects of caffeine on oocyte aging were investigated. By comparing control MII oocytes with aging MII oocytes, we identified 23 proteins that were up-regulated and 3 proteins that were down-regulated during the aging process. In caffeine-treated oocytes, 6 proteins were identified as up-regulated and 12 proteins were identified as down-regulated. A total of 38 differentially expressed proteins grouped into 5 regulation patterns were determined to relate to the aging and anti-aging process. By using the Gene Ontology system, we found that numerous functional gene products involved in metabolism, stress response, reactive oxygen species and cell cycle regulation were differentially expressed during the oocyte aging process, and most of these proteins are for the first time reported in our study, including 2 novel proteins. In addition, several proteins were found to be modified during oocyte aging. These data contribute new information that may be useful for future research on cellular aging and for improvement of oocyte quality. |
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By using proteomic tools, in the present study, changes in protein profiles during porcine oocyte aging and effects of caffeine on oocyte aging were investigated. By comparing control MII oocytes with aging MII oocytes, we identified 23 proteins that were up-regulated and 3 proteins that were down-regulated during the aging process. In caffeine-treated oocytes, 6 proteins were identified as up-regulated and 12 proteins were identified as down-regulated. A total of 38 differentially expressed proteins grouped into 5 regulation patterns were determined to relate to the aging and anti-aging process. By using the Gene Ontology system, we found that numerous functional gene products involved in metabolism, stress response, reactive oxygen species and cell cycle regulation were differentially expressed during the oocyte aging process, and most of these proteins are for the first time reported in our study, including 2 novel proteins. In addition, several proteins were found to be modified during oocyte aging. These data contribute new information that may be useful for future research on cellular aging and for improvement of oocyte quality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0028996</identifier><identifier>PMID: 22194971</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Aging ; Animals ; Antigens ; Biology ; Blotting, Western ; Caffeine ; Caffeine - pharmacology ; Cell cycle ; Cellular Senescence - drug effects ; Cognitive ability ; Cyclin-dependent kinases ; Dehydrogenases ; Electrophoresis, Gel, Two-Dimensional ; Embryos ; Female ; Genes ; Glycoproteins ; Heat shock proteins ; Kinases ; Laboratories ; Life sciences ; Liver cancer ; Metabolism ; Oocytes ; Oocytes - cytology ; Oocytes - drug effects ; Oocytes - metabolism ; Oxidative stress ; Oxygen ; Proteins ; Proteome - metabolism ; Proteomics ; Reactive oxygen species ; Reproducibility of Results ; Sus scrofa - metabolism ; Time Factors ; Zoology</subject><ispartof>PloS one, 2011-12, Vol.6 (12), p.e28996-e28996</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Jiang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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>Jiang et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-80e9df3b12b3075113eb44e03dfdc299b0938587ea8c87eb0dcaeb4ea70b42a23</citedby><cites>FETCH-LOGICAL-c691t-80e9df3b12b3075113eb44e03dfdc299b0938587ea8c87eb0dcaeb4ea70b42a23</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/PMC3241687/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3241687/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22194971$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Singh, Shree Ram</contributor><creatorcontrib>Jiang, Guang-Jian</creatorcontrib><creatorcontrib>Wang, Ke</creatorcontrib><creatorcontrib>Miao, De-Qiang</creatorcontrib><creatorcontrib>Guo, Lei</creatorcontrib><creatorcontrib>Hou, Yi</creatorcontrib><creatorcontrib>Schatten, Heide</creatorcontrib><creatorcontrib>Sun, Qing-Yuan</creatorcontrib><title>Protein profile changes during porcine oocyte aging and effects of caffeine on protein expression patterns</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>It has been shown that oocyte aging critically affects reproduction and development. By using proteomic tools, in the present study, changes in protein profiles during porcine oocyte aging and effects of caffeine on oocyte aging were investigated. By comparing control MII oocytes with aging MII oocytes, we identified 23 proteins that were up-regulated and 3 proteins that were down-regulated during the aging process. In caffeine-treated oocytes, 6 proteins were identified as up-regulated and 12 proteins were identified as down-regulated. A total of 38 differentially expressed proteins grouped into 5 regulation patterns were determined to relate to the aging and anti-aging process. By using the Gene Ontology system, we found that numerous functional gene products involved in metabolism, stress response, reactive oxygen species and cell cycle regulation were differentially expressed during the oocyte aging process, and most of these proteins are for the first time reported in our study, including 2 novel proteins. In addition, several proteins were found to be modified during oocyte aging. These data contribute new information that may be useful for future research on cellular aging and for improvement of oocyte quality.</description><subject>Age</subject><subject>Aging</subject><subject>Animals</subject><subject>Antigens</subject><subject>Biology</subject><subject>Blotting, Western</subject><subject>Caffeine</subject><subject>Caffeine - pharmacology</subject><subject>Cell cycle</subject><subject>Cellular Senescence - drug effects</subject><subject>Cognitive ability</subject><subject>Cyclin-dependent kinases</subject><subject>Dehydrogenases</subject><subject>Electrophoresis, Gel, Two-Dimensional</subject><subject>Embryos</subject><subject>Female</subject><subject>Genes</subject><subject>Glycoproteins</subject><subject>Heat shock proteins</subject><subject>Kinases</subject><subject>Laboratories</subject><subject>Life sciences</subject><subject>Liver cancer</subject><subject>Metabolism</subject><subject>Oocytes</subject><subject>Oocytes - cytology</subject><subject>Oocytes - drug effects</subject><subject>Oocytes - metabolism</subject><subject>Oxidative stress</subject><subject>Oxygen</subject><subject>Proteins</subject><subject>Proteome - metabolism</subject><subject>Proteomics</subject><subject>Reactive oxygen species</subject><subject>Reproducibility of Results</subject><subject>Sus scrofa - metabolism</subject><subject>Time Factors</subject><subject>Zoology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tq3DAQhk1padK0b1BaQ6GlF7vVwbasm0IIPSwEUnq6FbI09mrxSo4kl-TtK-86YbfkoggkMfrmH2k0k2UvMVpiyvCHjRu9lf1ycBaWCJGa8-pRdoo5JYuKIPr4YH-SPQthg1BJ66p6mp0QgnnBGT7NNt-8i2BsPnjXmh5ytZa2g5Dr0Rvb5YPzyljInVO3EXLZTUZpdQ5tCyqG3LW5kmm_g3YyOzm4GTyEYCaTjBG8Dc-zJ63sA7yY17Ps1-dPPy--Li6vvqwuzi8XquI4LmoEXLe0waShiJUYU2iKAhDVrVaE8wZxWpc1A1mrNDdIK5kIkAw1BZGEnmWv97pD74KY0xQEppjgipeYJmK1J7STGzF4s5X-VjhpxM7gfCekj0b1IDhhStakRZrSgumyKRlnCEHNSo0aqJLWxzna2GxBK7DRy_5I9PjEmrXo3B9BSYGrmiWBd7OAd9cjhCi2Jijoe2nBjUFwTKoC42IK9eYf8uHHzVQn0_2NbV0KqyZNcV6wqq5QghK1fIBKQ8PWqFRSUzEcO7w_ckhMhJvYyTEEsfrx_f_Zq9_H7NsDdg2yj-vg-jGm0gnHYLEHlXcheGjvc4yRmDriLhti6ggxd0Rye3X4P_dOdy1A_wIRFAc7</recordid><startdate>20111216</startdate><enddate>20111216</enddate><creator>Jiang, Guang-Jian</creator><creator>Wang, Ke</creator><creator>Miao, De-Qiang</creator><creator>Guo, Lei</creator><creator>Hou, Yi</creator><creator>Schatten, Heide</creator><creator>Sun, Qing-Yuan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20111216</creationdate><title>Protein profile changes during porcine oocyte aging and effects of caffeine on protein expression patterns</title><author>Jiang, Guang-Jian ; Wang, Ke ; Miao, De-Qiang ; Guo, Lei ; Hou, Yi ; Schatten, Heide ; Sun, Qing-Yuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-80e9df3b12b3075113eb44e03dfdc299b0938587ea8c87eb0dcaeb4ea70b42a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Age</topic><topic>Aging</topic><topic>Animals</topic><topic>Antigens</topic><topic>Biology</topic><topic>Blotting, Western</topic><topic>Caffeine</topic><topic>Caffeine - pharmacology</topic><topic>Cell cycle</topic><topic>Cellular Senescence - drug effects</topic><topic>Cognitive ability</topic><topic>Cyclin-dependent kinases</topic><topic>Dehydrogenases</topic><topic>Electrophoresis, Gel, Two-Dimensional</topic><topic>Embryos</topic><topic>Female</topic><topic>Genes</topic><topic>Glycoproteins</topic><topic>Heat shock proteins</topic><topic>Kinases</topic><topic>Laboratories</topic><topic>Life sciences</topic><topic>Liver cancer</topic><topic>Metabolism</topic><topic>Oocytes</topic><topic>Oocytes - cytology</topic><topic>Oocytes - drug effects</topic><topic>Oocytes - metabolism</topic><topic>Oxidative stress</topic><topic>Oxygen</topic><topic>Proteins</topic><topic>Proteome - metabolism</topic><topic>Proteomics</topic><topic>Reactive oxygen species</topic><topic>Reproducibility of Results</topic><topic>Sus scrofa - metabolism</topic><topic>Time Factors</topic><topic>Zoology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Guang-Jian</creatorcontrib><creatorcontrib>Wang, Ke</creatorcontrib><creatorcontrib>Miao, De-Qiang</creatorcontrib><creatorcontrib>Guo, Lei</creatorcontrib><creatorcontrib>Hou, Yi</creatorcontrib><creatorcontrib>Schatten, Heide</creatorcontrib><creatorcontrib>Sun, Qing-Yuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Guang-Jian</au><au>Wang, Ke</au><au>Miao, De-Qiang</au><au>Guo, Lei</au><au>Hou, Yi</au><au>Schatten, Heide</au><au>Sun, Qing-Yuan</au><au>Singh, Shree Ram</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Protein profile changes during porcine oocyte aging and effects of caffeine on protein expression patterns</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-12-16</date><risdate>2011</risdate><volume>6</volume><issue>12</issue><spage>e28996</spage><epage>e28996</epage><pages>e28996-e28996</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>It has been shown that oocyte aging critically affects reproduction and development. By using proteomic tools, in the present study, changes in protein profiles during porcine oocyte aging and effects of caffeine on oocyte aging were investigated. By comparing control MII oocytes with aging MII oocytes, we identified 23 proteins that were up-regulated and 3 proteins that were down-regulated during the aging process. In caffeine-treated oocytes, 6 proteins were identified as up-regulated and 12 proteins were identified as down-regulated. A total of 38 differentially expressed proteins grouped into 5 regulation patterns were determined to relate to the aging and anti-aging process. By using the Gene Ontology system, we found that numerous functional gene products involved in metabolism, stress response, reactive oxygen species and cell cycle regulation were differentially expressed during the oocyte aging process, and most of these proteins are for the first time reported in our study, including 2 novel proteins. In addition, several proteins were found to be modified during oocyte aging. These data contribute new information that may be useful for future research on cellular aging and for improvement of oocyte quality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22194971</pmid><doi>10.1371/journal.pone.0028996</doi><tpages>e28996</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Aging Animals Antigens Biology Blotting, Western Caffeine Caffeine - pharmacology Cell cycle Cellular Senescence - drug effects Cognitive ability Cyclin-dependent kinases Dehydrogenases Electrophoresis, Gel, Two-Dimensional Embryos Female Genes Glycoproteins Heat shock proteins Kinases Laboratories Life sciences Liver cancer Metabolism Oocytes Oocytes - cytology Oocytes - drug effects Oocytes - metabolism Oxidative stress Oxygen Proteins Proteome - metabolism Proteomics Reactive oxygen species Reproducibility of Results Sus scrofa - metabolism Time Factors Zoology |
title | Protein profile changes during porcine oocyte aging and effects of caffeine on protein expression patterns |
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