Experimental Integration, Design and Analysis Core

实验集成、设计和分析核心

• 批准号: 10380075
• 负责人: Janet L Stein
• 金额: $ 44.25万
• 依托单位: UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10380075
• 关键词: Achievement; Antibodies; Area; Bioinformatics; Biological Models; Biometry; Biopsy Specimen; Cancer Biology; Cell Line; Cell model; Cells; Clinical; Clustered Regularly Interspaced Short Palindromic Repeats; Collaborations; Complement; Computer Analysis; Data; Data Analyses; Data Set; Data Storage and Retrieval; Ensure; Epigenetic Process; Experimental Designs; Faculty; Future; Generations; Genome; Goals; Human Resources; Individual; Informatics; Investigation; Laboratories; Libraries; Methods; Mind; Molecular; Organoids; Output; Pathology; Patients; Positioning Attribute; Procedures; Property; Protocols documentation; Quality Control; Reagent; Reproducibility; Research; Research Personnel; Resources; Sampling; Services; Source; Standardization; Technology; Testing; Tissue Microarray; Tissue imaging; Translating; Tumor Tissue; Validation; Work; base; biobank; clinical application; clinical care; cohesion; data integration; data sharing; data standards; design; epigenetic regulation; genome editing; genomic data; high throughput analysis; imaging study; innovation; insight; knowledge base; malignant breast neoplasm; next generation sequencing; novel; programs; public database; reagent standardization; synergism; translational applications; treatment response

Summary: Experimental Integration, Design and Analysis Core The Experimental Integration, Design, and Analysis (EIDA) Core is an essential component of the program project that is uniquely designed to implement novel cellular, molecular and informatic strategies, and to synergize collaboration and integration of Program investigation to drive scientific discoveries. The Program is thematically centered on novel mechanisms of epigenetic regulation that are relevant to breast cancer. The EIDA Core is designed to capture the momentum of the Program, as well as to provide cohesive experimental and analytical design that will ensure rigor and reproducibility. The EIDA Core will centralize experimental design, bioinformatics support for data sharing and integration, and biostatistical analyses for patient-based, cell- and organoid-derived findings. The Core will ensure that every project is using standardized reagents, protocols and bioinformatics methods, such that data comparisons among projects can be made. Each project uses cutting- edge omics-based approaches; the application of these technologies necessitates significant expertise and implementation of best practices for scientific rigor and transparency, which will be provided by the EIDA Core. Support by the Core is essential for discoveries that will be generated by each of the projects. The goal of the EIDA core is to maximize integration of experimental effort and output. This innovative multi- dimensional core will accelerate research progress of the Program. The Aims of the EIDA Core are to provide: 1) Generation and authentication of biological models and reagents. Stringent quality control of reagents and uniform experimental protocols are essential for data comparison across all projects. 2) Analyses and integration of next generation sequencing data will assure that multiple types of genomic data can be compared for biologically relevant interpretation. Centralization of bioinformatics analysis in the Core positions the Program bioinformatician to perform analyses with the overall Program strategy and goals in mind, so that data generated by each Project can be used to inform and integrate results with the other projects. 3) Rigor and reproducibility of experimental strategies through statistical validation of the findings will enhance and strengthen discoveries that can be translated to clinical care in future studies. Impact: The EIDA core will enable integration of datasets by connecting the shared and distinct properties of epigenetic control and genome organization with breast cancer onset, progression and treatment response.

总结：实验集成，设计与分析核心