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The Human Cell Surfaceome of Breast Tumors

Introduction. Cell surface proteins are ideal targets for cancer therapy and diagnosis. We have identified a set of more than 3700 genes that code for transmembrane proteins believed to be at human cell surface. Methods. We used a high-throuput qPCR system for the analysis of 573 cell surface protei...

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Autores principales: da Cunha, Júlia Pinheiro Chagas, Galante, Pedro Alexandre Favoretto, de Souza, Jorge Estefano Santana, Pieprzyk, Martin, Carraro, Dirce Maria, Old, Lloyd J., Camargo, Anamaria Aranha, de Souza, Sandro José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781997/
https://www.ncbi.nlm.nih.gov/pubmed/24195083
http://dx.doi.org/10.1155/2013/976816
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author da Cunha, Júlia Pinheiro Chagas
Galante, Pedro Alexandre Favoretto
de Souza, Jorge Estefano Santana
Pieprzyk, Martin
Carraro, Dirce Maria
Old, Lloyd J.
Camargo, Anamaria Aranha
de Souza, Sandro José
author_facet da Cunha, Júlia Pinheiro Chagas
Galante, Pedro Alexandre Favoretto
de Souza, Jorge Estefano Santana
Pieprzyk, Martin
Carraro, Dirce Maria
Old, Lloyd J.
Camargo, Anamaria Aranha
de Souza, Sandro José
author_sort da Cunha, Júlia Pinheiro Chagas
collection PubMed
description Introduction. Cell surface proteins are ideal targets for cancer therapy and diagnosis. We have identified a set of more than 3700 genes that code for transmembrane proteins believed to be at human cell surface. Methods. We used a high-throuput qPCR system for the analysis of 573 cell surface protein-coding genes in 12 primary breast tumors, 8 breast cell lines, and 21 normal human tissues including breast. To better understand the role of these genes in breast tumors, we used a series of bioinformatics strategies to integrates different type, of the datasets, such as KEGG, protein-protein interaction databases, ONCOMINE, and data from, literature. Results. We found that at least 77 genes are overexpressed in breast primary tumors while at least 2 of them have also a restricted expression pattern in normal tissues. We found common signaling pathways that may be regulated in breast tumors through the overexpression of these cell surface protein-coding genes. Furthermore, a comparison was made between the genes found in this report and other genes associated with features clinically relevant for breast tumorigenesis. Conclusions. The expression profiling generated in this study, together with an integrative bioinformatics analysis, allowed us to identify putative targets for breast tumors.
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spelling pubmed-37819972013-11-05 The Human Cell Surfaceome of Breast Tumors da Cunha, Júlia Pinheiro Chagas Galante, Pedro Alexandre Favoretto de Souza, Jorge Estefano Santana Pieprzyk, Martin Carraro, Dirce Maria Old, Lloyd J. Camargo, Anamaria Aranha de Souza, Sandro José Biomed Res Int Research Article Introduction. Cell surface proteins are ideal targets for cancer therapy and diagnosis. We have identified a set of more than 3700 genes that code for transmembrane proteins believed to be at human cell surface. Methods. We used a high-throuput qPCR system for the analysis of 573 cell surface protein-coding genes in 12 primary breast tumors, 8 breast cell lines, and 21 normal human tissues including breast. To better understand the role of these genes in breast tumors, we used a series of bioinformatics strategies to integrates different type, of the datasets, such as KEGG, protein-protein interaction databases, ONCOMINE, and data from, literature. Results. We found that at least 77 genes are overexpressed in breast primary tumors while at least 2 of them have also a restricted expression pattern in normal tissues. We found common signaling pathways that may be regulated in breast tumors through the overexpression of these cell surface protein-coding genes. Furthermore, a comparison was made between the genes found in this report and other genes associated with features clinically relevant for breast tumorigenesis. Conclusions. The expression profiling generated in this study, together with an integrative bioinformatics analysis, allowed us to identify putative targets for breast tumors. Hindawi Publishing Corporation 2013 2013-09-09 /pmc/articles/PMC3781997/ /pubmed/24195083 http://dx.doi.org/10.1155/2013/976816 Text en Copyright © 2013 Júlia Pinheiro Chagas da Cunha et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
da Cunha, Júlia Pinheiro Chagas
Galante, Pedro Alexandre Favoretto
de Souza, Jorge Estefano Santana
Pieprzyk, Martin
Carraro, Dirce Maria
Old, Lloyd J.
Camargo, Anamaria Aranha
de Souza, Sandro José
The Human Cell Surfaceome of Breast Tumors
title The Human Cell Surfaceome of Breast Tumors
title_full The Human Cell Surfaceome of Breast Tumors
title_fullStr The Human Cell Surfaceome of Breast Tumors
title_full_unstemmed The Human Cell Surfaceome of Breast Tumors
title_short The Human Cell Surfaceome of Breast Tumors
title_sort human cell surfaceome of breast tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781997/
https://www.ncbi.nlm.nih.gov/pubmed/24195083
http://dx.doi.org/10.1155/2013/976816
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