Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.

We report the first quantitative and qualitative analysis of the poly (A)⁺ transcriptome of two human mammary cell lines, differentially expressing (human epidermal growth factor receptor) an oncogene over-expressed in approximately 25% of human breast tumors. Full-length cDNA populations from the t...

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Main Authors: Dirce Maria Carraro, Elisa Napolitano Ferreira, Gustavo de Campos Molina, Renato David Puga, Eduardo Fernandes Abrantes, Adriana Priscila Trapé, Bedrich L Eckhardt, Diana Noronha Nunes, Maria Mitzi Brentani, Wadih Arap, Renata Pasqualini, Helena Brentani, Emmanuel Dias-Neto, Ricardo Renzo Brentani
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21731642/?tool=EBI
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spelling doaj-11de31141a2749b8b8c448d12b996b312021-03-04T01:48:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0166e2102210.1371/journal.pone.0021022Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.Dirce Maria CarraroElisa Napolitano FerreiraGustavo de Campos MolinaRenato David PugaEduardo Fernandes AbrantesAdriana Priscila TrapéBedrich L EckhardtDiana Noronha NunesMaria Mitzi BrentaniWadih ArapRenata PasqualiniHelena BrentaniEmmanuel Dias-NetoRicardo Renzo BrentaniWe report the first quantitative and qualitative analysis of the poly (A)⁺ transcriptome of two human mammary cell lines, differentially expressing (human epidermal growth factor receptor) an oncogene over-expressed in approximately 25% of human breast tumors. Full-length cDNA populations from the two cell lines were digested enzymatically, individually tagged according to a customized method for library construction, and simultaneously sequenced by the use of the Titanium 454-Roche-platform. Comprehensive bioinformatics analysis followed by experimental validation confirmed novel genes, splicing variants, single nucleotide polymorphisms, and gene fusions indicated by RNA-seq data from both samples. Moreover, comparative analysis showed enrichment in alternative events, especially in the exon usage category, in ERBB2 over-expressing cells, data indicating regulation of alternative splicing mediated by the oncogene. Alterations in expression levels of genes, such as LOX, ATP5L, GALNT3, and MME revealed by large-scale sequencing were confirmed between cell lines as well as in tumor specimens with different ERBB2 backgrounds. This approach was shown to be suitable for structural, quantitative, and qualitative assessment of complex transcriptomes and revealed new events mediated by ERBB2 overexpression, in addition to potential molecular targets for breast cancer that are driven by this oncogene.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21731642/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Dirce Maria Carraro
Elisa Napolitano Ferreira
Gustavo de Campos Molina
Renato David Puga
Eduardo Fernandes Abrantes
Adriana Priscila Trapé
Bedrich L Eckhardt
Diana Noronha Nunes
Maria Mitzi Brentani
Wadih Arap
Renata Pasqualini
Helena Brentani
Emmanuel Dias-Neto
Ricardo Renzo Brentani
spellingShingle Dirce Maria Carraro
Elisa Napolitano Ferreira
Gustavo de Campos Molina
Renato David Puga
Eduardo Fernandes Abrantes
Adriana Priscila Trapé
Bedrich L Eckhardt
Diana Noronha Nunes
Maria Mitzi Brentani
Wadih Arap
Renata Pasqualini
Helena Brentani
Emmanuel Dias-Neto
Ricardo Renzo Brentani
Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
PLoS ONE
author_facet Dirce Maria Carraro
Elisa Napolitano Ferreira
Gustavo de Campos Molina
Renato David Puga
Eduardo Fernandes Abrantes
Adriana Priscila Trapé
Bedrich L Eckhardt
Diana Noronha Nunes
Maria Mitzi Brentani
Wadih Arap
Renata Pasqualini
Helena Brentani
Emmanuel Dias-Neto
Ricardo Renzo Brentani
author_sort Dirce Maria Carraro
title Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
title_short Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
title_full Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
title_fullStr Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
title_full_unstemmed Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.
title_sort poly (a)+ transcriptome assessment of erbb2-induced alterations in breast cell lines.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description We report the first quantitative and qualitative analysis of the poly (A)⁺ transcriptome of two human mammary cell lines, differentially expressing (human epidermal growth factor receptor) an oncogene over-expressed in approximately 25% of human breast tumors. Full-length cDNA populations from the two cell lines were digested enzymatically, individually tagged according to a customized method for library construction, and simultaneously sequenced by the use of the Titanium 454-Roche-platform. Comprehensive bioinformatics analysis followed by experimental validation confirmed novel genes, splicing variants, single nucleotide polymorphisms, and gene fusions indicated by RNA-seq data from both samples. Moreover, comparative analysis showed enrichment in alternative events, especially in the exon usage category, in ERBB2 over-expressing cells, data indicating regulation of alternative splicing mediated by the oncogene. Alterations in expression levels of genes, such as LOX, ATP5L, GALNT3, and MME revealed by large-scale sequencing were confirmed between cell lines as well as in tumor specimens with different ERBB2 backgrounds. This approach was shown to be suitable for structural, quantitative, and qualitative assessment of complex transcriptomes and revealed new events mediated by ERBB2 overexpression, in addition to potential molecular targets for breast cancer that are driven by this oncogene.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21731642/?tool=EBI
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