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A novel system for large-scale gene expression analysis: bacterial colonies array

dc.contributor.authorBarsalobres-Cavallari, C.
dc.contributor.authorDe Rosa Junior, V.
dc.contributor.authorNogueira, F.
dc.contributor.authorFerro, J.
dc.contributor.authorDi Mauro, S.
dc.contributor.authorMenossi, M.
dc.contributor.authorUlian, E.
dc.contributor.authorSilva-Filho, M.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCtr Tecnol Canavieira
dc.date.accessioned2014-05-20T13:17:33Z
dc.date.available2014-05-20T13:17:33Z
dc.date.issued2006-08-01
dc.description.abstractIn the present work, we report the use of bacterial colonies to optimize macroarray technique. The devised system is significantly cheaper than other methods available to detect large-scale differential gene expression. Recombinant Escherichia coli clones containing plasmid-encoded copies of 4,608 individual expressed sequence tag (ESTs) were robotically spotted onto nylon membranes that were incubated for 6 and 12 h to allow the bacteria to grow and, consequently, amplify the cloned ESTs. The membranes were then hybridized with a beta-lactamase gene specific probe from the recombinant plasmid and, subsequently, phosphorimaged to quantify the microbial cells. Variance analysis demonstrated that the spot hybridization signal intensity was similar for 3,954 ESTs (85.8%) after 6 h of bacterial growth. Membranes spotted with bacteria colonies grown for 12 h had 4,017 ESTs (87.2%) with comparable signal intensity but the signal to noise ratio was fivefold higher. Taken together, the results of this study indicate that it is possible to investigate large-scale gene expression using macroarrays based on bacterial colonies grown for 6 h onto membranes.en
dc.description.affiliationEscola Super Agr Luis Dequeiroz, Dept Genet, BR-13400970 Piracicaba, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, UNICAMP, Ctr Biol Mol & Engn Genet, Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Tecnol, Jaboticabal, SP, Brazil
dc.description.affiliationCtr Tecnol Canavieira, Secao Biol Mol, Piracicaba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Tecnol, Jaboticabal, SP, Brazil
dc.format.extent963-969
dc.identifierhttp://dx.doi.org/10.1007/s00253-006-0348-z
dc.identifier.citationApplied Microbiology and Biotechnology. New York: Springer, v. 71, n. 6, p. 963-969, 2006.
dc.identifier.doi10.1007/s00253-006-0348-z
dc.identifier.issn0175-7598
dc.identifier.urihttp://hdl.handle.net/11449/3987
dc.identifier.wosWOS:000240353800024
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofApplied Microbiology and Biotechnology
dc.relation.ispartofjcr3.340
dc.relation.ispartofsjr1,182
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleA novel system for large-scale gene expression analysis: bacterial colonies arrayen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dspace.entity.typePublication
unesp.author.orcid0000-0003-2129-0388[8]
unesp.author.orcid0000-0002-9211-3787[6]
unesp.author.orcid0000-0001-6755-4153[5]
unesp.author.orcid0000-0001-6613-4069[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentTecnologia - FCAVpt

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