OPTIONAL QUANTITIES FOR CCG AND OCCPR PROGRAM OFFICES FOR ADDITIONAL SEQUENCING; TO PERIOD OF PERFORMANCE: 08/31/2019 - 08/30/2021O

北卡罗来纳大学教堂山分校(UNC)高通量测序设施(HTSF)提议成为一个基因组表征中心(GCC)，用于从癌症相关样本中产生核糖核酸测序数据(RNAseq)。癌症是各种疾病的集合，具有各种各样的结果、自然病史和对治疗的反应。最近的数据表明，基于核酸的生物标记物是了解、预防、诊断和治疗癌症的宝贵工具。全基因组的肿瘤基因表达谱是一种极其重要的数据类型，它可以识别疾病的不同亚型，并为识别癌症的遗传驱动因素提供额外的支持。 十多年来，北卡罗来纳大学HTSF提供了来自肿瘤和相关样本的高质量、全面的RNAseq数据。GCC癌症研究基金会是癌症基因组图谱项目的主要RNAseq GCC，该项目全面记录了与28种人类癌症相关的基因组和(EPI)基因改变。自TCGA结束以来，UNC继续担任Leidos生物医学研究(LBR)RNAseq的主要分包商。在这一角色中，它已经对数千个RNA样本进行了RNA测序，以支持几个NCI项目。在过去的工作中，HTSF已经开发出强大且可重复性的协议，用于从新鲜的冷冻和FFPE RNA中进行miRNA、mRNA和总RNA测序，复杂的样本跟踪，以及本RFP中描述的样本的创新分析算法角色。

The University of North Carolina at Chapel Hill (UNC) High-throughput Sequencing Facility (HTSF) proposes to become a Genome Characterization Center (GCC) for production of RNA sequencing data (RNAseq) from cancer related samples. Cancer is a heterogeneous collection of diseases with a wide variety of outcomes, natural histories and responses to therapy. Recent data show that nucleic acid-based biomarkers are invaluable tools for understanding, preventing, diagnosing, and treating cancer. Genome-wide gene expression profiling of tumors is an extremely important data type that can identify distinct subtypes of disease and provide additional support for the identification of the genetic drivers of cancers. The UNC HTSF has provided high quality, comprehensive RNAseq data from tumor and related samples for more than a decade. HTSF was the primary RNAseq GCC for The Cancer Genome Atlas (TCGA) project, which comprehensively cataloged the genomic and (epi)genetic alterations associated with 28 human cancers. Since the end of TCGA, UNC has continued to serve as the primary sub-contractor for RNAseq for Leidos Biomedical Research (LBR). In this role, it has sequenced RNA from thousands of RNA samples in support of several NCI projects. From this past work, HTSF has developed robust and reproducible protocols for miRNA, mRNA and Total RNA sequencing from fresh frozen and FFPE RNA, sophisticated sample tracking, and innovative analysis algorithm role to the samples described in this RFP.