Course Name: Introduction to proteomics

Course abstract

This course introduces to the basic biology of proteins and the new advanced science called as proteomics which aims to look into the protein properties from a global perspective, i.e., not undertaking one protein at a time, but an entire set of proteins in the milieu. The course will cover in detail the two major aspects of proteomics i.e., Gel-based proteomics and Mass spectrometry-based proteomics. The gel-based module will cover different techniques like SDS-PAGE, 2-DE, 2D-DIGE etc. These techniques had a major contribution in transition from protein chemistry to proteomics. Mass spectrometry, on the other hand, is an advanced analytical technique for accurate mass measurement. 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.


Course Instructor

Media Object

Prof. Sanjeeva Srivastava

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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Teaching Assistant(s)

KANIKA MEHTA

VIPIN KUMAR

 Course Duration : Jul-Sep 2016

  View Course

 Syllabus

 Enrollment : 23-May-2016 to 18-Jul-2016

 Exam registration : 02-Aug-2016 to 19-Aug-2016

 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

1175

Registered

161

Certificate Eligible

130

Certified Category Count

Gold

4

Elite

69

Successfully completed

57

Participation

17

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
  • Final certificate score has been moderated by faculty.
Introduction to proteomics - Toppers list
Top 1 % of Certified Candidates

VARATHARAJAN SABAREESH 93%

VIT UNIVERSITY VELLORE


Top 2 % of Certified Candidates

R.HEMAMALINI 92%

IIT DELHI

MANASI GUPTA 90%

UTTARAKHAND TECHNICAL UNIVERSITY

DIGVIJAY SINGH RATHORE 90%

ARIHANT NATURECROP PVT LTD


Top 5 % of Certified Candidates

MOHAMMAD KALIM AHMAD KHAN 87%

INTEGRAL UNIVERSITY

R PRINCESS 87%

MEPCO SCHLENK ENGINEERING COLLEGE

D V SATYAMURTHY G 87%

SRI VENKATESWARAA MEDICAL COLLEGE HOSPITAL AND RESEARCH CENTRE

LIFECARE HOMOEOPATHY

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.