Mass spectrometry is an advanced analytical technique for accurate mass measurement. It does so by producing charged molecular species in vacuum followed by its separation in the magnetic and electric fields on the basis of their mass to charge (m/z) ratio. MALDI and ESI- coupled with mass analyzers are commonly used mass spectrometer configuration in proteomics. The human proteome draft was decoded by using high-resolution liquid chromatography coupled with mass spectrometry.
In this module, we will discuss the basics of mass spectrometry, sample preparations, liquid chromatography, hybrid mass spectrometers and quantitative proteomics techniques such as iTRAQ, SILAC and TMT using mass spectrometry. The course will also provide the basic knowledge about sample preparation, mass spectrometry workflow, different chromatography technologies and quantitative proteomics.
He is the Group Leader for the Proteomics Laboratory at the Indian Institute of Technology Bombay India -IITB. He obtained his Ph.D. from the University of Alberta and post-doc from the Harvard Medical School in the area of proteomics, stress physiology and has specialized expertise in applications of data enabled sciences in global health, developing country and resource limited settings.
Prof. Srivastava has considerable experience for teaching proteomics courses and conducting hands-on crash-courses on proteomics at IIT Bombay and many other institutes. Apart from the regular research work, Dr. Srivastava has been actively involved in the development of various proteomics e-Learning & Open-Learning curriculums and Virtual Lab initiatives at IIT Bombay generated with an intention to disseminate high-quality educational materials on proteomics at a global scale Ray et al., PLoS Biol. 2012; Ray et al., J Proteomics. 2012; Srivastava et al., Nature 2013.
These Virtual Lab initiatives have been included as a part: Tutorial- IPTP 14 of the International Proteomics Tutorial Programme : supported by Human Proteome Organization - HUPO and European Proteomics Association (EuPA)). Dr. Srivastava teaching efforts has provided him Excellence in Teaching Award in IIT Bombay.
Prof. Srivastava envisions designing novel-framework by linking proteomics and big data for the disruptive innovation by collective intelligence and actionable foresight. He believes strongly in trans-generational capacity building in science, bioengineering and 21st century knowledge society advance the proteomics knowledge for the benefits of global health.
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