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Showing posts with the label LC-MS

Q&As About Proteomics (Q16-Q20)

Q16 . What bioinformatics analys es  do the proteome results usually need? At present, the analys es  in general literature mainly include Venn d iagram analysis, h ea t map a nalysis,  v olcano plot a nalysis, h ierarchical c luster A nalysis, p rotein f unction a nalysis (GO classification), p rotein m etabolic p athway e nrichment a nalysis (KEGG-based pathway), d ifferential p rotein  i nteraction n etwork c onstruction, t ranscription f actor p rediction , etc . Other relatively high-level analyses include multiple sets of data association analysis, multi-pathway extension analysis, phosphoprotein kinase predictive analysis, interaction networks, and biocontrol model construction analysis. Q1 7. What are the differences between iTRAQ and other proteomics techniques? Two-dimensional electrophoresis is the earliest and most classic proteomic s   technique . It is suitable for most samples, but strong acid or strong basic protein, and protein ...

Techniques Used in Lipidomics Analysis

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The concept of l ipidomics   was proposed with the rise of genomes and proteomics research, which was proposed by Chinese scientist Han Xianlin in 2 003. Lipidomics   is a com prehensive systematic analysis and identification of lipids and molecules interacting with organisms, tissues or cells, which aims at understanding the structure and function of lipids, and revealing lipid metabolism and cells, organs and even the body. It is a   subject of the relationship between physiological and pathological processes. Lipid is  a large class of compounds in nature that is insoluble in water and easily soluble in organic solvents. It is  chemically and structurally heterogeneous, mainly including fatty acids and their naturally occurring derivatives (such as esters or amines), as well as b iosynthesis and functionally related compounds.   Lipid can participate in a variety of biological metabolis m, such as  energy conversion, material transport, inf...