This book provides a detailed understanding of the basics of proteins and proteomics, Gel based-proteomics techniques, basics of mass-spectrometry and quantitative proteomics, Interactomics: basics and applications, and advancement in proteomics.
This book provides a detailed understanding of the basics of proteins and proteomics, Gel based-proteomics techniques, basics of mass-spectrometry and quantitative proteomics, Interactomics: basics and applications, and advancement in proteomics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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