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Proteostasis Network Factors Involved in Apolipoprotein B Folding and Secretion

参与载脂蛋白 B 折叠和分泌的蛋白质稳态网络因素

基本信息

批准号：
8320202
负责人：
Joseph Genereux
金额：
$ 5.22万
依托单位：
SCRIPPS RESEARCH INSTITUTE, THE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-15 至 2013-09-14
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8320202
关键词：
Affect Affinity Antibodies Apolipoproteins B Binding Biological Assay Cell Culture Techniques Cell Line Cells Chromatography Clinical Colorimetry Competence Coupled Cytolysis Dependence Development Digestion Disease Dyes Endoplasmic Reticulum Degradation Pathway Enzyme-Linked Immunosorbent Assay Family Fluorescence Resonance Energy Transfer Gel Chromatography Genetic Hepatocyte Homeostasis Human Hyperlipidemia Immunoprecipitation Individual Insulin Insulin Resistance Intuition Knowledge Libraries Lipids Lipoproteins Liquid Chromatography Liver Low-Density Lipoproteins Mass Fragmentography Mass Spectrum Analysis Measurement Measures Mediating Methods Molecular Chaperones Monoclonal Antibodies Mus Nature Particle Size Pathway interactions Peptides Plasma Polyunsaturated Fatty Acids Process Production Proteins Proteomics Proxy Rattus Regulation Relative (related person)Sampling Screening procedure Signal Pathway Small Interfering RNA Stress Structure System Techniques Technology Time Very low density lipoprotein Work base cardiovascular risk factor hepatoma cell high throughput analysis high throughput screening interest particle public health relevance secretion process tandem mass spectrometry time use trafficking two-dimensional

项目摘要

DESCRIPTION (provided by applicant): LDL levels in the plasma are the most widely used clinical predictor for cardiovascular risk, and are absolutely determined by the extent of apoB secretion as nascent VLDL by the liver. ApoB is highly processed, and proper folding and lipidation are vital for its secretion. We will determine which proteostasis factors interact with apoB, and then evaluate these candidates by knockdown screening. This knowledge will help elucidate the complicated relationship of VLDL production to a variety of disease states, and we will use it to identify new strategies to modulate lipoprotein homeostasis. This project will involve three Specific Aims. In the first, we will apply high throughput multidimensional protein identification technology (MudPIT) to determine the lipid-dependent interactome of nascent VLDL from lysed HepG2 cells. MudPIT is an automated two-dimensional peptide separation technology combined with tandem mass spectrometry and computational fragment analysis, allowing high-throughput analysis of immunoprecipitated protein samples. By identifying the proteostasis factors that interact with apoB, we can determine which pathways are involved in apoB processing and trafficking during secretion. We will also develop assays for apoB lipidation. One will involve fusing fluorescent proteins to apoB, and using time-resolved FRET to determine particle size polydispersity. In parallel, we will develop an ELISA based colorimetric assay, whereby we will determine the effect of the extent of lipidation on the binding of various monoclonal antibodies to apoB. Finally, we will use these lipidation assays and the intuition from the proteometric results to perform knockdown screens for individual proteins whose expression is critical for proper apoB folding, processing and secretion. PUBLIC HEALTH RELEVANCE: VLDL production is misregulated in any disease states, including hyperlipidemia and insulin resistance. We will identify the factors of the proteostasis network that regulate apoB folding and processing into VLDL, and characterize the impact of these factors on VLDL secretion.

描述（由申请人提供）：血浆中的LDL水平是最广泛使用的心血管风险的临床预测因子，并且绝对由肝脏作为新生VLDL分泌apoB的程度决定。ApoB是高度加工的，适当的折叠和脂质化对其分泌至关重要。我们将确定哪些蛋白抑制因子与apoB相互作用，然后通过敲低筛选来评估这些候选因子。这些知识将有助于阐明VLDL产生与各种疾病状态的复杂关系，我们将用它来确定调节脂蛋白稳态的新策略。该项目将涉及三个具体目标。首先，我们将应用高通量多维蛋白质鉴定技术（MudPIT）来确定来自裂解的HepG2细胞的新生VLDL的脂质依赖性相互作用组。MudPIT是一种自动化二维肽分离技术，结合串联质谱和计算片段分析，可对免疫沉淀蛋白样品进行高通量分析。通过鉴定与apoB相互作用的蛋白质抑制因子，我们可以确定哪些途径参与了apoB在分泌过程中的加工和运输。我们还将开发apoB脂化的检测方法。一种是将荧光蛋白与载脂蛋白B融合，并使用时间分辨FRET来确定颗粒大小的多分散性。同时，我们将开发基于ELISA的比色测定法，从而我们将确定脂化程度对各种单克隆抗体与apoB结合的影响。最后，我们将使用这些脂质化试验和蛋白质测定结果的直觉来进行敲低筛选，以筛选其表达对适当的apoB折叠、加工和分泌至关重要的单个蛋白质。公共卫生相关性：VLDL的产生在任何疾病状态下都是失调的，包括高脂血症和胰岛素抵抗。我们将确定调节apoB折叠和加工成VLDL的蛋白质稳态网络的因素，并表征这些因素对VLDL分泌的影响。