Gene Expression Patterns in Human Tumors Identified Using Transcript Sequencing

使用转录测序鉴定人类肿瘤中的基因表达模式

• 批准号: 7942756
• 负责人: David N Hayes
• 金额: $ 416.11万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-29 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7942756
• 关键词: Atlases; Biological Assay; Breast; Chromatin; Chromatin Structure; Clinical; Code; Coupled; DNA Methylation; DNA Microarray Chip; DNA Sequence; DNA copy number; Data; Development; Distant; Epigenetic Process; Event; Formaldehyde; Gene Expression; Gene Expression Profiling; Genes; Genomics; Glioblastoma; Head and neck structure; Human; Lead; Link; Malignant Neoplasms; Malignant neoplasm of lung; Maps; Methods; MicroRNAs; Mutation; Nucleosomes; Outcome; Output; Paint; Patients; Pattern; Phase; Portraits; Proteins; Regulation; Regulatory Element; Role; SNP genotyping; Solid; Testing; Tissues; Transcript; Tumor Subtype; Tumor Suppressor Genes; base; cancer genome; chromatin remodeling; cost; disorder subtype; experience; genome wide association study; histone modification; next generation; novel; tool; tumor

DESCRIPTION (provided by applicant): Gene expression provides a snapshot of the cellular changes that promote tumor malignancy. Quantitative gene expression analysis, especially as implemented by DNA microarrays, has proven to be an extremely valuable tool for cancer genome characterization, and has lead to the development of new genomic-based clinical tests. Our own experience with DNA microarrays to study gene expression patterns for breast, head & neck, and lung cancers has lead to the identification of novel subtypes of tumors with distinct patient outcomes and has identified new tumor suppressor genes. In the pilot phase of The Cancer Genome Atlas (TCGA) project, multiple platforms were used including tools to study gene expression (our role), tumor genomic DNA copy number alterations, SNP genotypes, DNA methylation and gene mutational analyses. Our collaborative efforts identified new tumor subtypes of glioblastoma and painted an integrated picture linking mutations to copy number changes to expression patterns, which identified biologically distinct subtypes of disease with differences in patient outcomes. For the second phase of TCGA project, we propose to continue to perform quantitative gene expression profiling of all protein-coding genes, non-protein coding mRNAs(ncRNAs) and microRNAs, on -2000 tumors per year. This approach has proven to be one of the most informative and comprehensive cancer genome characterization tools available. In addition, we propose to generate global chromatin organization profiles of cancer to identify regions of "open" chromatin domains (nucleosome-depleted regions). We will use FAIRE (Formaldehyde-Assisted isolation of Regulatory Elements), a simple, low-cost method amenable to use on small quantities of solid tissue, coupled to next-generation DNA sequencing. Since the function of most histone modifications and chromatin remodeling activities is to regulate nucleosome occupancy, FAIRE effectively summarizes the functional output of such epigenetic mechanisms in a single robust assay. Lastly, we propose to perform integrated analyses of transcript levels with chromatin structure to map important regulatory elements, which can be distant to the transcript(s) that they regulate. Our study of genome-wide transcript regulation with chromatin organization will provide a critical portrait of the cancer genome that can be integrated with (and indeed can sometimes generate) other important data, including mutations and copy number events.

描述（由申请人提供）：基因表达提供了促进肿瘤恶性肿瘤的细胞变化的快照。定量基因表达分析，尤其是由DNA微阵列实施的，已被证明是癌症基因组表征的极其有价值的工具，并导致了新的基于基因组的临床测试的发展。我们在DNA微阵列中研究乳腺癌，头颈和肺癌的基因表达模式的经验，导致鉴定出具有独特患者结果的新型肿瘤亚型，并确定了新的肿瘤抑制基因。在癌症基因组图集（TCGA）项目的试验阶段中，使用了多个平台，包括研究基因表达的工具（我们的作用），肿瘤基因组DNA拷贝数改变，SNP基因型，DNA甲基化和基因突变分析。我们的协作努力确定了胶质母细胞瘤的新肿瘤亚型，并绘制了综合的图像，将突变与副本数量变化与表达模式相关联，该突变与疾病的生物学上不同的亚型鉴定了患者结局的差异。对于TCGA项目的第二阶段，我们建议每年为-2000肿瘤，继续对所有蛋白质编码基因，非蛋白质编码mRNA（NCRNA）和microRNA进行定量基因表达分析。事实证明，这种方法是可用的最有用，最全面的癌症基因组特征工具之一。此外，我们建议生成癌症的全球染色质组织谱，以识别“开放”染色质结构域（核小体耗尽区域）的区域。我们将使用Faire（调节元素的甲醛辅助分离），这是一种简单，低成本的方法，可用于少量的固体组织，并耦合到下一代DNA测序。由于大多数组蛋白修饰和染色质重塑活性的功能是调节核小体占用率，因此公平地在单个强大的测定中有效地总结了此类表观遗传机制的功能输出。最后，我们建议对具有染色质结构的转录水平进行集成分析，以绘制重要的调节元素，这些元件可能与它们调节的转录本相距甚远。我们对染色质组织对全基因组转录的研究的研究将提供癌症基因组的批判肖像，该象征可以与（确实可以产生）其他重要数据（包括突变和副本数值事件）整合在一起。