Center for Nutrient-Gene Interaction in Cancer Preventi*

癌症预防营养基因相互作用中心*

• 批准号: 7691454
• 负责人: STEPHEN BARNES
• 金额: $ 5万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-09 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7691454
• 关键词: 13 year old; Address; Alabama; Animal Cancer Model; Animal Model; Animals; Asians; Binding; Bioinformatics; Biological; Biological Markers; Biology; Biometry; Breast; Breast Cancer Risk Factor; California; Cancer Center; Cancer cell line; Categories; Cells; Chemoprevention; Chemopreventive Agent; Child; Clinical Research; Collaborations; Consumption; Cultured Cells; DNA Microarray Chip; DNA Microarray format; Data; Development; Diet; Dietary Factors; Dietary Intervention; Dietary Polyphenol; Dose; Drug Formulations; Epidemiologic Studies; Epidemiology; Epithelial Cells; Estrogen Metabolism; Estrogens; Evaluation; Event; Exposure to; Foundations; Future; Gene Expression; Gene Proteins; Genes; Genetic; Genetic Polymorphism; Genomics; Grant; Hand; Human Resources; Individual; Intake; Interdisciplinary Study; Investigation; Knowledge; Life; Malignant Neoplasms; Malignant neoplasm of prostate; Mammary gland; Mass Spectrum Analysis; Menarche; Metabolism; Methods; Microarray Analysis; Missouri; Mus; Nature; Normal Cell; Nutrient; Observational Study; Organization and Administration; Other Genetics; Pathway interactions; Peptide Fragments; Phytoestrogens; Pilot Projects; Population; Pregnancy; Procedures; Program Evaluation; Prostate; Proteins; Proteomics; Puberty; Research; Research Activity; Research Personnel; Role; Series; Steroids; Structure; Testing; Therapeutic Intervention; Thinking; Time; Tissues; Universities; Urine; Variant; anticancer research; base; cancer cell; cancer risk; carcinogenesis; cohort; critical developmental period; design; falls; gene interaction; girls; in vivo; interest; male; malignant breast neoplasm; neoplastic; novel; nutrition; polyphenol; preclinical study; programs; protein expression; research study; soy; soy protein isolate; statistics; steroid hormone; tumor progression

DESCRIPTION (provided by applicant): This Specialized Cooperative Center for Nutrient-Gene Interaction (CNGI) will focus on the identification of genetic pathways that may distinguish cancer cell development from normal cells, and the extent to which dietary polyphenols with documented chemopreventive activity modulate these pathways. The effect of polyphenols on mammary epithelial cells, believed to be the targets of initiating events in carcinogenesis, will be studied by an interdisciplinary team of investigators and consultants from the University of Alabama at Birmingham, the Northern California Cancer Center and the University of Missouri-Rolla. The team will use a combination of genomics, epidemiology, DNA microarray, and proteomic approaches to understand the events that take place during puberty, a critical period from a chemoprevention standpoint, as the cells of the breast come under the control of increasing amounts of estrogenic and other steroid hormones. The general hypothesis is that gene and protein expressions are modulated (or altered) by polyphenols to program a life-long reduction in breast cancer as well as prostate cancer risks. The hypothesis will be examined using a cell culture approach (project 1) and animal chemoprevention studies (project 2). The effect of polyphenols on gene and protein expression in the prostate of mice will address a parallel issue occurring during puberty in males. In project 3, a cohort epidemiological study in Asian girls (10-13 years old) who are soy- and non-soy consumers will determine whether soy consumption alters the timing of menarche, a risk factor for breast cancer. The relationship between the polymorphisms of genes encoding the synthesis and metabolism and mode of actions of steroid hormones and the onset of menarche will also be examined. For these DNA microarray and proteomics approaches, there is a need for a higher level of statistics than is currently available - project 4 will focus on the development and evaluation of new statistical procedures for analysis of the types of data produced by the high dimensional nature of each of the projects 1-3. The Center's research activities will be supported by three cores - a Genomics Core (Core A), responsible for gene sequencing and SNP analyses of specific variants (project 3) and microarray analysis (projects 1-2), a Proteomics Core (Core B), responsible for protein analyses from projects 1-3, and a Biostatistics/Bioinformatics Core (Core C) that will provide support to all projects and Cores. In addition to the main projects, the Center will organize a competitive Pilot Project/Developmental program for the evaluation of new ideas and methods pertinent to the overall development of the Center.

描述（由申请人提供）：这个专业的营养基因相互作用合作中心（CNGI）将重点放在遗传途径的鉴定上，这些遗传途径可能将癌细胞的发育与正常细胞区分开，以及饮食中多酚与有记录的化学反射活性的程度。多酚对乳腺上皮细胞的影响，被认为是癌发生事件的靶标，将由阿拉巴马大学伯明翰大学，加利福尼亚癌症中心和密苏里大学的研究人员和顾问的跨学科团队和顾问进行研究。该团队将使用基因组学，流行病学，DNA微阵列和蛋白质组学方法的结合来了解青春期期间发生的事件，这是从化学预防的关键时期开始的，因为乳房的细胞受到雌激素和其他类固醇激素的量增加。一般假设是，基因和蛋白质表达是通过多酚调节（或改变）的，以对乳腺癌以及前列腺癌风险进行终身降低。该假设将使用细胞培养方法（项目1）和动物化学预防研究（项目2）进行研究。多酚对小鼠前列腺中基因和蛋白质表达的影响将解决雄性青春期期间发生的平行问题。在项目3中，一项在亚洲女孩（10-13岁）的同类流行病学研究是大豆和非大约消费者，将确定大豆消费是否会改变初潮的时机，这是乳腺癌的危险因素。还将检查编码综合和代谢的基因的多态性与类固醇激素作用方式与初潮发作之间的关系。对于这些DNA微阵列和蛋白质组学方法，需要比当前可用的更高的统计数据 - 项目4将重点介绍新的统计程序的开发和评估，以分析每个项目1-3的高维质产生的数据类型。 The Center's research activities will be supported by three cores - a Genomics Core (Core A), responsible for gene sequencing and SNP analyses of specific variants (project 3) and microarray analysis (projects 1-2), a Proteomics Core (Core B), responsible for protein analyses from projects 1-3, and a Biostatistics/Bioinformatics Core (Core C) that will provide support to all projects and Cores.除了主要项目外，该中心还将组织一个竞争性的试点项目/发展计划，以评估与该中心整体发展有关的新思想和方法。

项目成果

How Accurate are the Extremely Small P-values Used in Genomic Research: An Evaluation of Numerical Libraries.

基因组研究中使用的极小 P 值的准确性如何：数值库的评估。

• DOI: 10.1016/j.csda.2008.11.028
• 发表时间: 2009
• 期刊: Computational statistics & data analysis
• 影响因子: 1.8
• 作者: Bangalore,SaiSantosh;Wang,Jelai;Allison,DavidB
• 通讯作者: Allison,DavidB

Challenges and approaches to statistical design and inference in high-dimensional investigations.

• DOI: 10.1007/978-1-60327-563-7_9
• 发表时间: 2009
• 期刊: Methods in molecular biology (Clifton, N.J.)
• 作者: Gadbury GL;Garrett KA;Allison DB
• 通讯作者: Allison DB

Reproducible clusters from microarray research: whither?

• DOI: 10.1186/1471-2105-6-s2-s10
• 发表时间: 2005-07-15
• 期刊: BMC BIOINFORMATICS
• 影响因子: 3
• 作者: Garge, NR;Page, GP;Sprague, AP;Gorman, BS;Allison, DB
• 通讯作者: Allison, DB

Urinary cadmium and timing of menarche and pubertal development in girls.

• DOI: 10.1016/j.envres.2020.109224
• 发表时间: 2020-04
• 期刊: Environmental research
• 影响因子: 8.3
• 作者: Reynolds P;Canchola AJ;Duffy CN;Hurley S;Neuhausen SL;Horn-Ross PL;Rull RP
• 通讯作者: Rull RP

HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data.

HDBStat!：一个独立于平台的软件套件，用于高维生物学数据的统计分析。

• DOI: 10.1186/1471-2105-6-86
• 发表时间: 2005
• 期刊: BMC bioinformatics [electronic resource].
• 作者: Trivedi,Prinal;Edwards,JodeW;Wang,Jelai;Gadbury,GaryL;Srinivasasainagendra,Vinodh;Zakharkin,StanislavO;Kim,Kyoungmi;Mehta,Tapan;Brand,JacobPL;Patki,Amit;Page,GrierP;Allison,DavidB
• 通讯作者: Allison,DavidB