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 of the cancer genes that are mutated or inappropriately turned on, 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.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
3U24CA143866-05S1
Application #
8925189
Study Section
Special Emphasis Panel (ZCA1-SRLB-U (O1))
Program Officer
Tarnuzzer, Roy W
Project Start
2009-09-29
Project End
2015-07-31
Budget Start
2013-08-01
Budget End
2015-07-31
Support Year
5
Fiscal Year
2014
Total Cost
$296,351
Indirect Cost
$22,006
Name
British Columbia Cancer Agency
Department
Type
DUNS #
209137736
City
Vancouver
State
BC
Country
Canada
Zip Code
V5 1-L3
Hoadley, Katherine A; Yau, Christina; Wolf, Denise M et al. (2014) Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell 158:929-44
Cancer Genome Atlas Research Network (2014) Comprehensive molecular characterization of urothelial bladder carcinoma. Nature 507:315-22
Cancer Genome Atlas Research Network (2014) Comprehensive molecular characterization of gastric adenocarcinoma. Nature 513:202-9
Zovoilis, Athanasios; Mungall, Andrew J; Moore, Richard et al. (2014) The expression level of small non-coding RNAs derived from the first exon of protein-coding genes is predictive of cancer status. EMBO Rep 15:402-10
Davis, Caleb F; Ricketts, Christopher J; Wang, Min et al. (2014) The somatic genomic landscape of chromophobe renal cell carcinoma. Cancer Cell 26:319-30
Cancer Genome Atlas Research Network (2014) Comprehensive molecular profiling of lung adenocarcinoma. Nature 511:543-50
Cancer Genome Atlas Research Network (2013) Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature 499:43-9
Cancer Genome Atlas Research Network (2013) Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med 368:2059-74
Cancer Genome Atlas Research Network; Kandoth, Cyriac; Schultz, Nikolaus et al. (2013) Integrated genomic characterization of endometrial carcinoma. Nature 497:67-73
Brennan, Cameron W; Verhaak, Roel G W; McKenna, Aaron et al. (2013) The somatic genomic landscape of glioblastoma. Cell 155:462-77

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