Proteomics Studies of Childhood Pilocytic Astrocytoma
Childhood pilocytic astrocytoma is the most frequent brain tumor affecting children. Proteomics analysis is currently considered a powerful tool for global evaluation of protein expression and has been widely applied in the field of cancer research. In the present study, a series of proteomics, geno...
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| Veröffentlicht in: | Journal of proteome research 2011-05, Vol.10 (5), p.2555-2565 |
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| container_title | Journal of proteome research |
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| creator | Anagnostopoulos, Athanasios K Dimas, Konstantinos S Papathanassiou, Chrissa Braoudaki, Maria Anastasiadou, Ema Vougas, Konstantinos Karamolegou, Kalliopi Kontos, Harry Prodromou, Neofytos Tzortzatou-Stathopoulou, Fotini Tsangaris, George Th |
| description | Childhood pilocytic astrocytoma is the most frequent brain tumor affecting children. Proteomics analysis is currently considered a powerful tool for global evaluation of protein expression and has been widely applied in the field of cancer research. In the present study, a series of proteomics, genomics, and bioinformatics approaches were employed to identify, classify and characterize the proteome content of low-grade brain tumors as it appears in early childhood. Through bioinformatics database construction, protein profiles generated from pathological tissue samples were compared against profiles of normal brain tissues. Additionally, experiments of comparative genomic hybridization arrays were employed to monitor for genetic aberrations and sustain the interpretation and evaluation of the proteomic data. The current study confirms the dominance of MAPK pathway for the childhood pilocytic astrocytoma occurrence and novel findings regarding the ERK-2 expression are reported. |
| doi_str_mv | 10.1021/pr200024m |
| format | Article |
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Proteomics analysis is currently considered a powerful tool for global evaluation of protein expression and has been widely applied in the field of cancer research. In the present study, a series of proteomics, genomics, and bioinformatics approaches were employed to identify, classify and characterize the proteome content of low-grade brain tumors as it appears in early childhood. Through bioinformatics database construction, protein profiles generated from pathological tissue samples were compared against profiles of normal brain tissues. Additionally, experiments of comparative genomic hybridization arrays were employed to monitor for genetic aberrations and sustain the interpretation and evaluation of the proteomic data. The current study confirms the dominance of MAPK pathway for the childhood pilocytic astrocytoma occurrence and novel findings regarding the ERK-2 expression are reported.</description><identifier>ISSN: 1535-3893</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr200024m</identifier><identifier>PMID: 21466243</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Astrocytoma - metabolism ; Blotting, Western ; Brain Neoplasms - metabolism ; Child ; Child, Preschool ; Cluster Analysis ; Comparative Genomic Hybridization ; Computational Biology - methods ; Databases, Protein ; Electrophoresis, Gel, Two-Dimensional ; Female ; Genomics - methods ; Humans ; Male ; Mitogen-Activated Protein Kinase 1 - metabolism ; Proteome - metabolism ; Proteomics - methods</subject><ispartof>Journal of proteome research, 2011-05, Vol.10 (5), p.2555-2565</ispartof><rights>Copyright © 2011 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a314t-ffdf87ee15730393b0e7b3d0196af1d2e058f80a55c384e24200e6698f934a513</citedby><cites>FETCH-LOGICAL-a314t-ffdf87ee15730393b0e7b3d0196af1d2e058f80a55c384e24200e6698f934a513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/pr200024m$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr200024m$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2751,27055,27903,27904,56716,56766</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21466243$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Anagnostopoulos, Athanasios K</creatorcontrib><creatorcontrib>Dimas, Konstantinos S</creatorcontrib><creatorcontrib>Papathanassiou, Chrissa</creatorcontrib><creatorcontrib>Braoudaki, Maria</creatorcontrib><creatorcontrib>Anastasiadou, Ema</creatorcontrib><creatorcontrib>Vougas, Konstantinos</creatorcontrib><creatorcontrib>Karamolegou, Kalliopi</creatorcontrib><creatorcontrib>Kontos, Harry</creatorcontrib><creatorcontrib>Prodromou, Neofytos</creatorcontrib><creatorcontrib>Tzortzatou-Stathopoulou, Fotini</creatorcontrib><creatorcontrib>Tsangaris, George Th</creatorcontrib><title>Proteomics Studies of Childhood Pilocytic Astrocytoma</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>Childhood pilocytic astrocytoma is the most frequent brain tumor affecting children. Proteomics analysis is currently considered a powerful tool for global evaluation of protein expression and has been widely applied in the field of cancer research. In the present study, a series of proteomics, genomics, and bioinformatics approaches were employed to identify, classify and characterize the proteome content of low-grade brain tumors as it appears in early childhood. Through bioinformatics database construction, protein profiles generated from pathological tissue samples were compared against profiles of normal brain tissues. Additionally, experiments of comparative genomic hybridization arrays were employed to monitor for genetic aberrations and sustain the interpretation and evaluation of the proteomic data. The current study confirms the dominance of MAPK pathway for the childhood pilocytic astrocytoma occurrence and novel findings regarding the ERK-2 expression are reported.</description><subject>Astrocytoma - metabolism</subject><subject>Blotting, Western</subject><subject>Brain Neoplasms - metabolism</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cluster Analysis</subject><subject>Comparative Genomic Hybridization</subject><subject>Computational Biology - methods</subject><subject>Databases, Protein</subject><subject>Electrophoresis, Gel, Two-Dimensional</subject><subject>Female</subject><subject>Genomics - methods</subject><subject>Humans</subject><subject>Male</subject><subject>Mitogen-Activated Protein Kinase 1 - metabolism</subject><subject>Proteome - metabolism</subject><subject>Proteomics - methods</subject><issn>1535-3893</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkDtPwzAUhS0EoqUw8AdQFoQYAtfxI_ZYRbykSlQCZsv1Q02V1MVOhv57UvUxMd0zfPquzkHoFsMThgI_b2IBAAVtz9AYM8JyIqE8P2YhyQhdpbQCwKwEcolGBaacF5SMEZvH0LnQ1iZlX11va5ey4LNqWTd2GYLN5nUTzLarTTZNXdzF0OprdOF1k9zN4U7Qz-vLd_Wezz7fPqrpLNcE0y733npROje8JUAkWYArF8QCllx7bAsHTHgBmjFDBHUFHWo4zqXwklDNMJmgh713E8Nv71Kn2joZ1zR67UKflOCMC8kkH8jHPWliSCk6rzaxbnXcKgxqN5I6jTSwdwdrv2idPZHHVQbgfg9ok9Qq9HE9lPxH9AcTF2yD</recordid><startdate>20110506</startdate><enddate>20110506</enddate><creator>Anagnostopoulos, Athanasios K</creator><creator>Dimas, Konstantinos S</creator><creator>Papathanassiou, Chrissa</creator><creator>Braoudaki, Maria</creator><creator>Anastasiadou, Ema</creator><creator>Vougas, Konstantinos</creator><creator>Karamolegou, Kalliopi</creator><creator>Kontos, Harry</creator><creator>Prodromou, Neofytos</creator><creator>Tzortzatou-Stathopoulou, Fotini</creator><creator>Tsangaris, George Th</creator><general>American Chemical Society</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>7X8</scope></search><sort><creationdate>20110506</creationdate><title>Proteomics Studies of Childhood Pilocytic Astrocytoma</title><author>Anagnostopoulos, Athanasios K ; Dimas, Konstantinos S ; Papathanassiou, Chrissa ; Braoudaki, Maria ; Anastasiadou, Ema ; Vougas, Konstantinos ; Karamolegou, Kalliopi ; Kontos, Harry ; Prodromou, Neofytos ; Tzortzatou-Stathopoulou, Fotini ; Tsangaris, George Th</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a314t-ffdf87ee15730393b0e7b3d0196af1d2e058f80a55c384e24200e6698f934a513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Astrocytoma - metabolism</topic><topic>Blotting, Western</topic><topic>Brain Neoplasms - metabolism</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cluster Analysis</topic><topic>Comparative Genomic Hybridization</topic><topic>Computational Biology - methods</topic><topic>Databases, Protein</topic><topic>Electrophoresis, Gel, Two-Dimensional</topic><topic>Female</topic><topic>Genomics - methods</topic><topic>Humans</topic><topic>Male</topic><topic>Mitogen-Activated Protein Kinase 1 - metabolism</topic><topic>Proteome - metabolism</topic><topic>Proteomics - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anagnostopoulos, Athanasios K</creatorcontrib><creatorcontrib>Dimas, Konstantinos S</creatorcontrib><creatorcontrib>Papathanassiou, Chrissa</creatorcontrib><creatorcontrib>Braoudaki, Maria</creatorcontrib><creatorcontrib>Anastasiadou, Ema</creatorcontrib><creatorcontrib>Vougas, Konstantinos</creatorcontrib><creatorcontrib>Karamolegou, Kalliopi</creatorcontrib><creatorcontrib>Kontos, Harry</creatorcontrib><creatorcontrib>Prodromou, Neofytos</creatorcontrib><creatorcontrib>Tzortzatou-Stathopoulou, Fotini</creatorcontrib><creatorcontrib>Tsangaris, George Th</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><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anagnostopoulos, Athanasios K</au><au>Dimas, Konstantinos S</au><au>Papathanassiou, Chrissa</au><au>Braoudaki, Maria</au><au>Anastasiadou, Ema</au><au>Vougas, Konstantinos</au><au>Karamolegou, Kalliopi</au><au>Kontos, Harry</au><au>Prodromou, Neofytos</au><au>Tzortzatou-Stathopoulou, Fotini</au><au>Tsangaris, George Th</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteomics Studies of Childhood Pilocytic Astrocytoma</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2011-05-06</date><risdate>2011</risdate><volume>10</volume><issue>5</issue><spage>2555</spage><epage>2565</epage><pages>2555-2565</pages><issn>1535-3893</issn><eissn>1535-3907</eissn><abstract>Childhood pilocytic astrocytoma is the most frequent brain tumor affecting children. Proteomics analysis is currently considered a powerful tool for global evaluation of protein expression and has been widely applied in the field of cancer research. In the present study, a series of proteomics, genomics, and bioinformatics approaches were employed to identify, classify and characterize the proteome content of low-grade brain tumors as it appears in early childhood. Through bioinformatics database construction, protein profiles generated from pathological tissue samples were compared against profiles of normal brain tissues. 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| subjects | Astrocytoma - metabolism Blotting, Western Brain Neoplasms - metabolism Child Child, Preschool Cluster Analysis Comparative Genomic Hybridization Computational Biology - methods Databases, Protein Electrophoresis, Gel, Two-Dimensional Female Genomics - methods Humans Male Mitogen-Activated Protein Kinase 1 - metabolism Proteome - metabolism Proteomics - methods |
| title | Proteomics Studies of Childhood Pilocytic Astrocytoma |
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