Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200017 |
Resumo: | The most critical step in any proteomic study is protein extraction and sample preparation. Better solubilization increases the separation and resolution of gels, allowing identification of a higher number of proteins and more accurate quantitation of differences in gene expression. Despite the existence of published results for the optimization of proteomic analyses of soybean seeds, no comparable data are available for proteomic studies of soybean leaf tissue. In this work we have tested the effects of modification of a TCA-acetone method on the resolution of 2-DE gels of leaves and roots of soybean. Better focusing was obtained when both mercaptoethanol and dithiothreitol were used in the extraction buffer simultaneously. Increasing the number of washes of TCA precipitated protein with acetone, using a final wash with 80% ethanol and using sonication to ressuspend the pellet increased the number of detected proteins as well the resolution of the 2-DE gels. Using this approach we have constructed a soybean protein map. The major group of identified proteins corresponded to genes of unknown function. The second and third most abundant groups of proteins were composed of photosynthesis and metabolism related genes. The resulting protocol improved protein solubility and gel resolution allowing the identification of 122 soybean leaf proteins, 72 of which were not detected in other published soybean leaf 2-DE gel datasets, including a transcription factor and several signaling proteins. |
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Genetics and Molecular Biology |
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Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteinsproteomicsGlycine max2-DEprotein extractionleaf proteomeThe most critical step in any proteomic study is protein extraction and sample preparation. Better solubilization increases the separation and resolution of gels, allowing identification of a higher number of proteins and more accurate quantitation of differences in gene expression. Despite the existence of published results for the optimization of proteomic analyses of soybean seeds, no comparable data are available for proteomic studies of soybean leaf tissue. In this work we have tested the effects of modification of a TCA-acetone method on the resolution of 2-DE gels of leaves and roots of soybean. Better focusing was obtained when both mercaptoethanol and dithiothreitol were used in the extraction buffer simultaneously. Increasing the number of washes of TCA precipitated protein with acetone, using a final wash with 80% ethanol and using sonication to ressuspend the pellet increased the number of detected proteins as well the resolution of the 2-DE gels. Using this approach we have constructed a soybean protein map. The major group of identified proteins corresponded to genes of unknown function. The second and third most abundant groups of proteins were composed of photosynthesis and metabolism related genes. The resulting protocol improved protein solubility and gel resolution allowing the identification of 122 soybean leaf proteins, 72 of which were not detected in other published soybean leaf 2-DE gel datasets, including a transcription factor and several signaling proteins.Sociedade Brasileira de Genética2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200017Genetics and Molecular Biology v.35 n.1 suppl.1 2012reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572012000200017info:eu-repo/semantics/openAccessMesquita,Rosilene OliveiraSoares,Eduardo de AlmeidaBarros,Everaldo Gonçalves deLoureiro,Marcelo Ehlerseng2012-06-01T00:00:00Zoai:scielo:S1415-47572012000200017Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2012-06-01T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
title |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
spellingShingle |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins Mesquita,Rosilene Oliveira proteomics Glycine max 2-DE protein extraction leaf proteome |
title_short |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
title_full |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
title_fullStr |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
title_full_unstemmed |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
title_sort |
Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins |
author |
Mesquita,Rosilene Oliveira |
author_facet |
Mesquita,Rosilene Oliveira Soares,Eduardo de Almeida Barros,Everaldo Gonçalves de Loureiro,Marcelo Ehlers |
author_role |
author |
author2 |
Soares,Eduardo de Almeida Barros,Everaldo Gonçalves de Loureiro,Marcelo Ehlers |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Mesquita,Rosilene Oliveira Soares,Eduardo de Almeida Barros,Everaldo Gonçalves de Loureiro,Marcelo Ehlers |
dc.subject.por.fl_str_mv |
proteomics Glycine max 2-DE protein extraction leaf proteome |
topic |
proteomics Glycine max 2-DE protein extraction leaf proteome |
description |
The most critical step in any proteomic study is protein extraction and sample preparation. Better solubilization increases the separation and resolution of gels, allowing identification of a higher number of proteins and more accurate quantitation of differences in gene expression. Despite the existence of published results for the optimization of proteomic analyses of soybean seeds, no comparable data are available for proteomic studies of soybean leaf tissue. In this work we have tested the effects of modification of a TCA-acetone method on the resolution of 2-DE gels of leaves and roots of soybean. Better focusing was obtained when both mercaptoethanol and dithiothreitol were used in the extraction buffer simultaneously. Increasing the number of washes of TCA precipitated protein with acetone, using a final wash with 80% ethanol and using sonication to ressuspend the pellet increased the number of detected proteins as well the resolution of the 2-DE gels. Using this approach we have constructed a soybean protein map. The major group of identified proteins corresponded to genes of unknown function. The second and third most abundant groups of proteins were composed of photosynthesis and metabolism related genes. The resulting protocol improved protein solubility and gel resolution allowing the identification of 122 soybean leaf proteins, 72 of which were not detected in other published soybean leaf 2-DE gel datasets, including a transcription factor and several signaling proteins. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200017 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200017 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572012000200017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.35 n.1 suppl.1 2012 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122384572219392 |