Our objective is to establish and operate a high throughput Genome Characterization Centre (GCC) that specializes in sequencing libraries, prepared from mRNAs and microRNAs purified from cancer cells and tissues. To achieve our objective, we will build upon existing """"""""next generation"""""""" sequencing and analysis strengths at the BC Genome Sciences Centre. We have accumulated world-leading experience in the operation of lllumina sequencers as a consequence of becoming one of the four Early Access Partners originally engaged by Solexa (now lllumina) in November of 2006. Since then, we have led in the development and implementation of protocols for preparing and sequencing numerous library types on the lllumina GA platform, including both microRNA and mRNA libraries. To build sequencing libraries, we have established an lllumina library construction core that has constructed 1,075 libraries, from which we have generated more than 934 billion base-pairs of high quality sequence information. These data have so far provided the basis for 19 publications describing results obtained from sequencing genomes and transcriptomes, and describing the creation of new software tools and algorithms to manage and analyze the wealth of data such instruments produce. To develop and critically appraise instrument upgrades, new instruments and new protocols, we have established a next generation technology development core. Technologies developed and appraised by this group are approved for use by our lllumina production sequencing core. Under-pinning this enterprise is a formal system for quality assurance and quality control that encompasses laboratory and bioinformatics activities, and a laboratory information management system that regulates and monitors laboratory activity, inventory, and features real time error avoidance. Our experience in assembling these teams and this infrastructure will serve as a basis for scaling up our library production capacity to meet our objectives, which are to sequence 4,400 transcriptome libraries in the first year of our operation. Using bioinformatics tools already in production, we will analyze these sequences to profile the expression of genes, individual exons and microRNAs, and analyze the sequences to discover mutations and RNA editing events in expressed sequences. These analyses will provide an unprecedented view of transcription in cancer cells;identify promising new mutated and expressed therapeutic targets, and identify genes and pathways that are drivers of oncogenesis.

Public Health Relevance

Mutations and other perturbations in genes can cause cancer, or affect the way patients respond to cancer treatments. We aim to develop a deep understanding ofthe cancer genes that are mutated or inappropriately turned bn, or off, in cancer cells. We will do this using a powerful new DNA analysis tool called next generation sequencing, to analyze thousands of genes from thousands of cancer samples.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Resource-Related Research Projects--Cooperative Agreements (U24)
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Special Emphasis Panel (ZCA1-SRLB-U (O1))
Program Officer
Lee, Jerry S
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British Columbia Cancer Agency
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V5 1-L3
Robertson, A Gordon; Kim, Jaegil; Al-Ahmadie, Hikmat et al. (2017) Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer. Cell 171:540-556.e25
Cancer Genome Atlas Research Network; Albert Einstein College of Medicine; Analytical Biological Services et al. (2017) Integrated genomic and molecular characterization of cervical cancer. Nature 543:378-384
Fishbein, Lauren; Leshchiner, Ignaty; Walter, Vonn et al. (2017) Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma. Cancer Cell 31:181-193
Cancer Genome Atlas Research Network; Analysis Working Group: Asan University; BC Cancer Agency et al. (2017) Integrated genomic characterization of oesophageal carcinoma. Nature 541:169-175
Huo, Dezheng; Hu, Hai; Rhie, Suhn K et al. (2017) Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas. JAMA Oncol 3:1654-1662
Robertson, A Gordon; Shih, Juliann; Yau, Christina et al. (2017) Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma. Cancer Cell 32:204-220.e15
Cancer Genome Atlas Research Network. Electronic address: wheeler@bcm.edu; Cancer Genome Atlas Research Network (2017) Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma. Cell 169:1327-1341.e23
Cherniack, Andrew D; Shen, Hui; Walter, Vonn et al. (2017) Integrated Molecular Characterization of Uterine Carcinosarcoma. Cancer Cell 31:411-423
Cancer Genome Atlas Research Network. Electronic address: elizabeth.demicco@sinaihealthsystem.ca; Cancer Genome Atlas Research Network (2017) Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas. Cell 171:950-965.e28
Pan, Yinghong; Robertson, Gordon; Pedersen, Lykke et al. (2016) miR-509-3p is clinically significant and strongly attenuates cellular migration and multi-cellular spheroids in ovarian cancer. Oncotarget 7:25930-48

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