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Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing

BACKGROUND: To identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast cell l...

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Autores principales: Zhao, Qi, Kirkness, Ewen F, Caballero, Otavia L, Galante, Pedro A, Parmigiani, Raphael B, Edsall, Lee, Kuan, Samantha, Ye, Zhen, Levy, Samuel, Vasconcelos, Ana Tereza R, Ren, Bing, de Souza, Sandro J, Camargo, Anamaria A, Simpson, Andrew JG, Strausberg, Robert L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3156953/
https://www.ncbi.nlm.nih.gov/pubmed/21108794
http://dx.doi.org/10.1186/gb-2010-11-11-r114
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author Zhao, Qi
Kirkness, Ewen F
Caballero, Otavia L
Galante, Pedro A
Parmigiani, Raphael B
Edsall, Lee
Kuan, Samantha
Ye, Zhen
Levy, Samuel
Vasconcelos, Ana Tereza R
Ren, Bing
de Souza, Sandro J
Camargo, Anamaria A
Simpson, Andrew JG
Strausberg, Robert L
author_facet Zhao, Qi
Kirkness, Ewen F
Caballero, Otavia L
Galante, Pedro A
Parmigiani, Raphael B
Edsall, Lee
Kuan, Samantha
Ye, Zhen
Levy, Samuel
Vasconcelos, Ana Tereza R
Ren, Bing
de Souza, Sandro J
Camargo, Anamaria A
Simpson, Andrew JG
Strausberg, Robert L
author_sort Zhao, Qi
collection PubMed
description BACKGROUND: To identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast cell line from the same individual, HCC1954BL. RESULTS: By comparing exome sequences from the two cell lines, we identified loss of heterozygosity events at 403 genes in HCC1954 and at one gene in HCC1954BL. The combination of exome and transcriptome sequence data also revealed 86 and 50 genes with allele specific expression events in HCC1954 and HCC1954BL, which comprise 5.4% and 2.6% of genes surveyed, respectively. Many of these genes identified by loss of heterozygosity and allele-specific expression are known or putative tumor suppressor genes, such as BRCA1, MSH3 and SETX, which participate in DNA repair pathways. CONCLUSIONS: Our results demonstrate that the combined application of high throughput sequencing to exome and allele-specific transcriptome analysis can reveal genes with known tumor suppressor characteristics, and a shortlist of novel candidates for the study of tumor suppressor activities.
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spelling pubmed-31569532011-08-19 Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing Zhao, Qi Kirkness, Ewen F Caballero, Otavia L Galante, Pedro A Parmigiani, Raphael B Edsall, Lee Kuan, Samantha Ye, Zhen Levy, Samuel Vasconcelos, Ana Tereza R Ren, Bing de Souza, Sandro J Camargo, Anamaria A Simpson, Andrew JG Strausberg, Robert L Genome Biol Research BACKGROUND: To identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast cell line from the same individual, HCC1954BL. RESULTS: By comparing exome sequences from the two cell lines, we identified loss of heterozygosity events at 403 genes in HCC1954 and at one gene in HCC1954BL. The combination of exome and transcriptome sequence data also revealed 86 and 50 genes with allele specific expression events in HCC1954 and HCC1954BL, which comprise 5.4% and 2.6% of genes surveyed, respectively. Many of these genes identified by loss of heterozygosity and allele-specific expression are known or putative tumor suppressor genes, such as BRCA1, MSH3 and SETX, which participate in DNA repair pathways. CONCLUSIONS: Our results demonstrate that the combined application of high throughput sequencing to exome and allele-specific transcriptome analysis can reveal genes with known tumor suppressor characteristics, and a shortlist of novel candidates for the study of tumor suppressor activities. BioMed Central 2010 2010-11-25 /pmc/articles/PMC3156953/ /pubmed/21108794 http://dx.doi.org/10.1186/gb-2010-11-11-r114 Text en Copyright ©2010 Zhao et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Zhao, Qi
Kirkness, Ewen F
Caballero, Otavia L
Galante, Pedro A
Parmigiani, Raphael B
Edsall, Lee
Kuan, Samantha
Ye, Zhen
Levy, Samuel
Vasconcelos, Ana Tereza R
Ren, Bing
de Souza, Sandro J
Camargo, Anamaria A
Simpson, Andrew JG
Strausberg, Robert L
Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title_full Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title_fullStr Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title_full_unstemmed Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title_short Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
title_sort systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3156953/
https://www.ncbi.nlm.nih.gov/pubmed/21108794
http://dx.doi.org/10.1186/gb-2010-11-11-r114
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