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The TCGA Cancer Genome Characterization Center at MSKCC

The TCGA Cancer Genome Characterization Center at MSKCC
MSKCC 的 TCGA 癌症基因组表征中心
批准号:
7908494
负责人:
Marc Ladanyi
金额:
$53.2万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2011-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The TCGA Cancer Genome Characterization Center at MSKCC (designated herein MSK-CGCC) will provide comprehensive profiling of gene expression (whole transcript, exon-level, and microRNA) and of genomic gains and losses (whole genome, and high resolution cancer gene-centered) and will perform high level bioinformatic analyses to identify candidate genes for resequencing by the TCGA Genome Sequencing Centers and novel candidate intergenic rearrangements. Specifically, the MSK-CGCC will meet the three objectives of the RFA as follows: Objective 1: Application of established comprehensive high-throughput technologies. We will perform gene expression profiling on the current Affymetrix U133 Plus arrays and profiling of gains and losses on Agilent 244k CGH arrays. Given the already high capacity of our microarray facility, the MSK-CGCC will be ready to proceed immediately with the expected first year throughput of 1000 samples in this objective. Objective 2: Improve performance of large-scale genomic characterization platforms. These standard platforms will be extended by enhancement of genome coverage and detection of additional types of genomic alterations. Thus, Affymetrix U133 Plus arrays will be extended by the implementation, following careful evaluation and validation, of the new Affymetrix Exon arrays (that will provide data on aberrant splicing patterns and translocation fusion transcripts) and by the use of Agilent microRNA arrays, the latter to be enhanced in successive years by updated designs based on the most comprehensive library of human microRNAs assembled to date. The Agilent 244k CGH arrays will be extended by the design of a complementary custom Agilent array based on a cancer gene-centered tiling strategy optimally suited for the detection of gene fusions associated with gains or losses. Objective 3: Establish cohesive analysis and data mining tools. The MSK-CGCC bioinformatics team will use state-of-the-art methods for raw data processing and quality control to ensure that all released data are well validated. They will also perform a variety of higher level analyses and integrated analyses to derive prioritized lists of genes and genomic regions of interest for sequencing by the TCGA Genome Sequencing Centers.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1371/journal.pone.0008918
发表时间: 2010-02-12
期刊: PloS one
影响因子: 3.7
作者: [Cerami E, Demir E, Schultz N, Taylor BS, Sander C]
通讯作者: Sander C
A classification model for distinguishing copy number variants from cancer-related alterations.
用于区分拷贝数变异和癌症相关改变的分类模型。
DOI: 10.1186/1471-2105-11-297
发表时间: 2010
期刊: BMC bioinformatics
影响因子: 3
作者: [Ostrovnaya,Irina, Nanjangud,Gouri, Olshen,AdamB]
通讯作者: Olshen,AdamB
Epigenetic and Genetic Vulnerabilities in Synovial Sarcoma
Developmental Research Program
Developmental Research Program
Epigenetic and Genetic Vulnerabilities in Synovial Sarcoma
海外基金