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 proteomics

Basics of amino acids and proteins

Protein chemistry to proteomics

Module 2: Gel-based proteomics techniques

Gel-based proteomics

2-d difference in gel electrophoresis (2d-dige)

Gel-based proteomic data analysis

Module 3: Basics of mass-spectrometry and quantitative proteomics

Introduction to mass spectrometry

Hybrid mass spectrometry configurations

Tandem mass spectrometry for protein identification

In vitro quantitative proteomics using itraq

In vivo quantitative proteomics using silac

Module 4: Interactomics: basics and application

Introduction to interactomics

Antigen and antibody microarrays

Cell-free expression based protein microarrays

Nucleic acid programmable protein arrays

Label-free proteomics

Surface plasmon resonance

Surface plasmon resonance imaging

Protein interaction analysis using spr and spri

Module 5: Advancement in proteomics

Proteomics for translational research

Future of proteomics for clinical applications

Challenges in clinical proteomics