From Proteins to Proteomics

Prof. Sanjeeva Srivastava is a professor and the group leader of the Proteomics Laboratory at the Department of Biosciences and Bioengineering at the Indian Institute of Technology, Bombay. High-throughput proteomics, protein microarrays, and mass spectrometry are among his specialties. He has implemented ground-breaking AI-driven data analytics on big biological datasets. He has been at the forefront of biomedical research based on big data. His group's current research focuses on the development of clinical biomarkers for infectious diseases and malignancies. His group also pioneered therapeutic target identification efforts and decoded protein interaction networks in human illnesses like gliomas and contagious diseases like COVID-19 and malaria. His group has developed reliable diagnostic biomarkers and described the pathophysiology of severe malaria (falciparum and vivax) and COVID-19, especially the underlying mechanisms that lead to the development of severe sequelae.Dr. Srivastava is an active contributor to global proteomics research and development. He serves on the Executive Committee of Human Proteome Organization (HUPO) and Proteomics Society, India (PSI). He has more than 125 publications from his work as an independent researcher at IIT Bombay. To date, he has filed 15 patents that include biomarkers for various types of cancers, infectious diseases like malaria, leptospirosis, COVID-19, and method improvement in uncharted territories such as fish and plant proteomics.

• Module 1: Basics of proteins and proteomicsBasics of amino acids and proteinsProtein chemistry to proteomicsModule 2: Gel-based proteomics techniquesGel-based proteomics2-d difference in gel electrophoresis (2d-dige)Gel-based proteomic data analysisModule 3: Basics of mass-spectrometry and quantitative proteomicsIntroduction to mass spectrometryHybrid mass spectrometry configurationsTandem mass spectrometry for protein identificationIn vitro quantitative proteomics using itraqIn vivo quantitative proteomics using silacModule 4: Interactomics: basics and applicationIntroduction to interactomicsAntigen and antibody microarraysCell-free expression based protein microarraysNucleic acid programmable protein arraysLabel-free proteomicsSurface plasmon resonanceSurface plasmon resonance imagingProtein interaction analysis using spr and spriModule 5: Advancement in proteomicsProteomics for translational researchFuture of proteomics for clinical applicationsChallenges in clinical proteomics