Data Analysis

数据分析

• 批准号: 8932067
• 负责人: Jacob David Jaffe
• 金额: $ 34.11万
• 依托单位: BROAD INSTITUTE, INC.
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8932067
• 关键词: Algorithms; Automatic Data Processing; Back; Bioinformatics; Biological Assay; Biological Models; Cancer Etiology; Cell model; Cells; Chromatin; Communities; Data; Data Analyses; Data Collection; Databases; Disease; Drug Targeting; Epigenetic Process; Etiology; Event; Future; Gene Silencing; Goals; Instruction; Learning; Libraries; Mass Spectrum Analysis; Mediating; Molecular; Network-based; Neurons; Online Systems; Phosphorylation; Proteomics; Psychological reinforcement; Quality Control; Reading; Research; Research Infrastructure; Resources; Signal Transduction; System; Techniques; Technology; Testing; base; chromatin modification; data management; developmental genetics; human embryonic stem cell; insight; member; next generation; novel therapeutics; programs; research study; response; small molecule; tool

The overarching goal of this project is to test the hypothesis that modulation of phosphorylation-mediated signaling events in response to perturbations can establish new cellular states by altering their epigenetic landscapes. To achieve this goal, we propose performing mass spectrometry (MS)-based proteomic assays that specifically target quantitative readouts of phosphosignaling and chromatin modifications in cells on > 15,000 perturbational conditions. These perturbations will focus on modulation of signaling cascades and epigenetic marks by small molecules and gene inactivations. We will study several different cellular model systems, including comprehensive studies neuronal lineage differentiation starting from human embryonic stem cells. We propose to establish a center.in order to develop the necessary infrastructure, pipelines, data management, and analytics required to perform what would be the largest set of related experiments with MS proteomic read outs to date. We will also explore next-generation MS acquisition technologies to establish a permanently minable MS data resource that will be accessible to the public. We will contribute the resulting data and tools to the Library of Integrated Network-based Cellular Signatures (LINCS) program for the purpose of making connections among disparate perturbations through phosphoproteomic and chromatin modification signatures in concert with other data types to be contributed to LINCS by other centers. The resulting analyses will help identify novel therapeutic opportunities and synergies, as dysregulation of phosphosignaling and epigenetic systems are two of the most common molecular etiologies identified in a growing number of genetic, developmental, and environmental diseases. In this component of the project we describe the data analysis pipelines, advanced statistical and bioinformatic techniques, and data repository strategies that we will use to prosecute the project. We also discuss how end-users outside of our center will access, analyze, visualize, and interact with the data that we generate through web-based tools that we will develop.

这个项目的首要目标是测试的假设，调节磷酸化介导