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Technologies for Mapping the Extracellular Interactome

细胞外相互作用组图谱技术

基本信息

批准号：
8887877
负责人：
STEVEN C. ALMO
金额：
$ 64.8万
依托单位：
ALBERT EINSTEIN COLLEGE OF MEDICINE, INC
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-24 至 2018-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8887877
关键词：
Academia Address Affinity Animal Model Autoimmune Diseases Automation Binding Biologic Development Biological Biological Assay Biological Process Biology Cell Communication Cell Surface Proteins Cell physiology Cell surface Cells Commercial Sectors Communicable Diseases Communities Complement Complex Cues Cytoplasmic Protein Development Disease Environment Flow Cytometry Genetic Transcription Genomic Library Goals Growth Human Immunoglobulins Integral Membrane Protein Label Lead Libraries Life Ligands Logic Malignant Neoplasms Mammalian Cell Maps Mass Spectrum Analysis Measures Metabolic Methods Microarray Analysis Molecular Noise Organism Pathology Pharmacologic Substance Physiology Positioning Attribute Production Proteins Proteome Resources Robotics Signal Transduction Specialist System Technology Text Therapeutic Work Yeasts abstracting assault base cell type extracellular high throughput screening high throughput technology human disease insight member novel novel strategies novel therapeutics protein expression protein purification receptor response screening therapeutic target tissue culture tool yeast two hybrid system

项目摘要

Enter the text here that is the new abstract information for your application. This section must be no longer than 30 lines of text. Defining the entire ensemble of molecular interactions and networks present in an organism (i.e., the Interactome) is essential for understanding the function, dynamics and logic underlying complex cellular systems. Large-scale efforts, involving both yeast-two-hybrid approaches and affinity-mass spectrometry, have begun to define large portions of the eukaryotic Interactome. While these approaches have proven effective for evaluating cytoplasmic interactions, they are inadequate for defining the interactions involving the 1/3 of the human proteome represented by secreted proteins and the ectodomains of integral membrane proteins. These proteins and their interactions are vital to cellular and multi-cellular processes as they detect the developmental, morphogenetic and environmental cues that are central to normal physiology and pathology. These receptor:ligand complexes also offer enormous promise as therapeutic targets and for the development of biologics to treat autoimmune diseases, infectious diseases and malignancies. At present there exists no platform to support the discovery of these extracellular interactions. To address this challenge, we have recently established strong proof-of-concept for two distinct high-throughput platforms for mapping of the “Ecto-Interactome”, the entire set of interactions formed by secreted and cell surface proteins. These efforts exploit a multi-disciplinary team, composed of protein chemists, automation specialists and biologists, which is merging multiple protein expression/presentation strategies with cutting-edge cell microarray and flow cytometry technologies. The optimization and implementation of these platforms promises to have transformative impact by revealing extracellular interactions and networks that yield novel insights into normal physiology, disease and therapeutic strategies. We are positioned to make significant progress in assessing the feasibility of defining the Ecto-Interactome. Together with the considerable body of cytoplasmic interactions that is accruing, these studies will provide important insights into the full range of molecular circuitry that integrates multiple disparate signals into cellular and multi-cellular function.

在这里输入文本，即应用程序的新抽象信息。这部分必须是