Quantitative Proteomics is a powerful approach used for both the discovery and targeted proteomic analyses to understand global proteomic dynamics in a cell, tissue, or organism. Most quantitative proteomic analyses entail the isotopic labelling of proteins or peptides in the experimental groups, which can then be differentiated based on mass spectrometry. Relative quantitation methods (SILAC, ICAT, ICPL, and isobaric tags) are used to compare protein or peptide abundance between samples while spiking the unlabeled samples with known concentrations of isotopically-labelled synthetic peptides can yield absolute quantification of target peptides via Selected reaction monitoring(SRM). Proteomics Conferences 2023 will elaborate on Quantitative Proteomics.
Related Conferences: Proteomics Conferences 2023 | Genomics Conferences | Molecular Biology Conferences | Structural Biology conferences | Structural Chemistry Conference | Chemistry Conference | Genetics Conferences | Proteomics Conference | Proteome biology Conferences | Biochemistry Conferences
Related Associations: Turkish Proteomics Association, Serbian Proteomics Association, Italian Proteomics Association, European Proteomics Association, Czech Republic Proteomics Association, Belgian Proteomics Association, Austrian Proteomics and Metabolomics Association, US Human Proteome Organization.
Related Societies: Spanish Proteomics Society, Swedish Genomics Society, Proteomics Society of India, Iranian Proteomics Society, Japanese Proteomics Society, Malaysian Proteomics Society, Pakistan Proteomics Society, Taiwan Proteomics Society.
Related Journals: Journal of Proteomics & Bioinformatics, Journal of Proteomics and Genomics Research, International Journal of Genomics and Proteomics, Journal of Data Mining in Genomics & Proteomics, International Journal of Proteomics, Briefings in Functional Genomics, Proteomics Insights Stem book, The Open Proteomics Journal.
All accepted abstracts will be published in respective Allied Academies Journals.
Abstracts will be provided with Digital Object Identifier by
