Aurchie Rahman / Chemistry & Biochemistry / Faculty Mentor: Saiful Chowdhury
Proteomic tools and techniques of current age have the ability to identify and quantify all components of a biological system. Software and techniques are constantly being developed to elucidate interacting proteins of biological pathways. NLRP3 is a pattern recognition receptor of NLR family taking part in many inflammatory pathways. It is involved in the pathogenesis of many metabolic disorders such as type 2 diabetes, atherosclerosis, obesity and gout. The particular study employed in-solution digestion and LC-MS/MS in activated immune cells to understand NLRP3 interactome. Immune cell, THP-1 were treated with lipopolysaccharide, LPS and two canonical inducers, MSU (monosodium urate) and Nigericin to activate NLRP3 pathway. Cells were subjected to six treatment conditions with and without NLRP3 ligands. Collected cell lysates were trypsin digested and peptides were analyzed by nano-LC-MS/MS. Quantitative analysis based on PSM were performed using proteome discoverer software. Bioinformatics analysis were performed on the collected data. With panther classification system, the proteins were found to be important in several cellular, molecular and biological processes. Proteins exclusively expressed in different treatment conditions were displayed through Venn diagram. Analysis of the proteome successfully identified exclusive interacting partners of NLRP3 proteome.
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