Course Name: Mass spectrometry based proteomics

Course abstract

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.


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.


More info
Course Sponsors

Teaching Assistant(s)

KISHORE GOLLAPALLI

M.Sc. Biotechnology,
(Pursuing Ph.D.)

Dr. Panga Jaipal Reddy

Ph.D

 Course Duration : Sep-Nov 2015

  View Course

 Syllabus

 Enrollment : 17-Aug-2015 to 21-Sep-2015

 Exam registration : 15-Sep-2015 to 15-Oct-2015

 Exam Date : 01-Nov-2015, 08-Nov-2015

Enrolled

638

Registered

33

Certificate Eligible

24

Certified Category Count

Gold

0

Elite

9

Successfully completed

14

Participation

1

Success

Elite

Gold





Legend

>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation

Final Score Calculation Logic

  • Assignment Score = Average of all the 4 assignments
  • FINAL SCORE (Score on Certificate) = 60% of Exam Score + 40% of Assignment Score.
Mass spectrometry based proteomics - Toppers list

DEEPALI MOHANTY 74%

RAVENSHAW UNIVERSITY

MADHURA KHANZODE 71%

RELIANCE INSTITUTE OF LIFE SCIENCES

NIRLIPTA SWAIN 70%

RAVENSHAW UNIVERSITY

SOUMYA RANJAN JENA 69%

RAVENSHAW UNIVERSITY

SUNIL SHYAMDHAR TIWARI 64%

CCMB

JASMINE NAYAK 62%

RAVENSHAW UNIVERSITY

NAVNEET KUMAR 62%

NIPER

SUMIT KUMAR 61%

INDIAN INSTITUTE OF DELHI

SHAILESHANAND JHA 61%

CENTRAL UNIVERSITY OF SOUTH BIHAR

ANUBHAV PRAKASH 58%

HANSRAJ COLLEGE

M SUBHASHRI 58%

MADRAS CHRISTIAN COLLEGE

DEEPAK KUMAR TRIPATHI 58%

NITK SURATHKAL MANGLORE

BALASUBRAMANIAM B 58%

ALAGAPPA UNIVERSITY

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.