Cancer Genetics and Computational Biology

癌症遗传学和计算生物学

基本信息

批准号：
7900746
负责人：
Siegfried Janz
金额：
$ 2.25万
依托单位：
UNIVERSITY OF IOWA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-07-01 至 2010-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7900746
关键词：
Adenocarcinoma Adhesions Anatomy Antineoplastic Agents Apoptosis Area Bioinformatics CDKN2A gene Cancer Center Support Grant Cell Cycle Cell Cycle Arrest Cell Cycle Regulation Cell Death Cell division Cell physiology Cervical Cessation of life Chondrosarcoma Chromosome Structures Clinical Computational Biology Custom DNA Repair DNA biosynthesis Data Databases Development Diagnosis Dissection Drug resistance Enhancers Epidemiology Epithelial Cells Erinaceidae Event Family Focal Adhesion Kinase 1 Focus Groups Funding Gene Expression Gene Expression Process Gene Expression Profile Gene Family Gene Silencing Gene Transduction Agent Genes Genetic Genital Human Papilloma Virus Infection Genital system Genome Genomic Instability Genomics Goals Head and Neck Cancer Heterochromatin Homeostasis Human Human Papilloma Virus Vaccine Human Papillomavirus Human papilloma virus infection Infection Integrins Ionizing radiation Iowa Juvenile polyposis syndrome Lead Malignant Neoplasms Malignant neoplasm of cervix uteri Mediating Metastatic Chondrosarcoma Mitochondria Molecular Molecular Epidemiology Molecular Profiling Mutation Neoplasm Metastasis Neoplasms Neural Crest Cell Oncogenes Oncogenic Oncolytic viruses Oropharyngeal Oxidative Stress Papillomavirus Pathway interactions Peer Review Prevention Prevention therapy Process Proteins RNA Processing RNA Splicing Rattus Receptor Signaling Regulation Research Research Infrastructure Research Personnel Risk Factors Role Screening procedure Secondary to Signal Pathway Signal Transduction Simplexvirus Stem cells Stress System Systems Analysis Transcript Tumor Suppression Universities Variant Work anticancer research base biological adaptation to stress cancer cell cancer genetics cancer prevention cancer therapy carcinogenesis cell behavior cell growth chemotherapy college gene delivery system gene therapy heterochromatin-specific nonhistone chromosomal protein HP-1 improved keratinocyte malignant breast neoplasm melanoma member novel novel strategies outcome forecast parathyroid hormone-related protein prevent programs receptor repaired replication factor A response tool tool development tumor growth working group

项目摘要

Understanding the genetic basis of normal and abnormal cellular processes is central to Durability to prevent and treat cancer. Investigators in the Cancer Genetics and Computational Biology Program are working to uncover genetic events involved in normal and malignant cell growth, differentiation and death, and to investigate how such events impact on cell behavior, with the ultimate goal of developing novel strategies for cancer prevention and therapy based on this information. There are five major overlapping themes within the umbrella of this new Program's research. Theme 1 - Cancer genes and signaling pathways Theme 2 - Genomic organization and gene expression in cancer Theme 3 - Papillomavirus carcinogenesis Theme 4 - Novel strategies for cancer therapy Theme 5 - Novel tools in computational biology for cancer genetics Examples of major accomplishments of the Cancer Genetics and Computational Biology Program include (a) identification of genes involved in processes important in a number of cancers including melanoma, chondrosarcoma, metastatic breast cancer and adenocarcinomas secondary to juvenile polyposis, (b) enhanced understanding of the oncogenic potential of Human Papilloma Virus extending from basic genetics to epidemiology, and (c) development of novel tools in computational biology to facilitate research in cancer genetics. The program consists of 30 members from 18 departments and 4 colleges. Current, peer-reviewed, cancer-related research, annual direct funding for this program totals $4.8 million with $885,700 coming from the NCI.

了解正常和异常细胞过程的遗传基础是耐用性的核心和治疗癌症。癌症遗传学和计算生物学计划的研究者正在致力于发现与正常和恶性细胞生长，分化和死亡有关的遗传事件，以及调查此类事件如何影响细胞行为，其最终目标是制定新的策略基于此信息的预防癌症和治疗。其中有五个主要重叠主题该新计划研究的伞。主题1-癌症基因和信号通路主题2-癌症的基因组组织和基因表达主题3-乳头瘤病毒致癌主题4-癌症治疗的新颖策略主题5-癌症遗传学计算生物学的新颖工具癌症遗传学和计算生物学计划的主要成就的例子包括（a）在包括黑色素瘤在内的许多癌症中重要的基因鉴定，软骨肉瘤，转移性乳腺癌和继发于青少年息肉病的腺癌，（b）对人乳头状瘤病毒的致癌潜力的理解增强了从基本遗传学延伸进行流行病学和（c）开发计算生物学的新工具，以促进癌症研究遗传学。该计划由来自18个系和4所大学的30名成员组成。当前，同行评审，与癌症有关的研究，该计划的年度直接资金总计480万美元，885,700美元来自 NCI。