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

• Published in: Genome biology 2010-11, Vol.11 (11), p.R114-R114, Article R114
• Main Authors: 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 J G, Strausberg, Robert L
• Format: Article
• Language: English
• Subjects: Alleles; breast neoplasms; Breast Neoplasms - genetics; Cell Line, Tumor; DNA repair; Female; Gene Expression Profiling; Genes, Tumor Suppressor; Genome, Human; heterozygosity; High-Throughput Nucleotide Sequencing; Humans; Loss of Heterozygosity; Polymorphism, Single Nucleotide; Reverse Transcriptase Polymerase Chain Reaction; transcriptome; transcriptomics; tumor suppressor genes; tumor suppressor proteins
• ISSN: 1474-760X; 1465-6906; 1474-760X; 1465-6914
• DOI: 10.1186/gb-2010-11-11-r114

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. 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. 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.