Analysis Analysis Analysis Analysisof the entire entire entire protein protein proteinproteincomplementcomplement complement complement of acell, cell, tissue, tissue, tissue, or organism organism organism under under aspecific, specific, specific, defined defined set of conditions conditions conditions . • Relies Relies Relies on 3basic technological technological technological technological technological cornerstones cornerstones cornerstones cornerstones • MethodMethod MethodMethod to fractionatefractionate fractionatefractionate fractionatefractionate complexcomplex complex protein/protein/ protein/ protein/ peptide peptide peptidemixturesmixtures mixtures • MS to acquire acquire the data data necessary necessary to identify identify identifyidentifyindividual individual individual individualproteins proteins • Bioinformatics Bioinformatics Bioinformatics Bioinformatics Bioinformatics Bioinformatics Bioinformaticsto analyze analyze and assemble assemble the MS data

1. Mass Spectrometry
Based Proteomic
Analysis

2. Before entering practical
experience, it’s highly
important they understand the
technique behind what they are
doing and its applications.

3. Difference Between Spectroscopy and
Spectrometry
Spectroscopy is the study of radiated energy and matter to determine their
interaction, and it does not create results on its own.
Spectrometry is the application of spectroscopy so that there are quantifiable results
that can then be assessed.

5. Types of
MS
• Accelerator Mass Spectroscopy (AMS)
• Gas Chromatography – MS
• Liquid Chromatography – MS
• Inductively Coupled Plasma-Mass Spectroscopy (ICP-MS)
• Isotope Ratio Mass Spectroscopy (IRMS)
• Ion Mobility Spectroscopy –MS
• Tandem MS
• Thermal Ionization Mass Spectroscopy (TIMS)

6. Applications of Mass
Spectrometry

7. MS in Healthcare

8. Proteomics
• Analysis of the entire protein complement of a cell, tissue,
or organism under a specific, defined set of conditions.
• Relies on 3 basic technological cornerstones
• Method to fractionate complex protein/ peptide
mixtures
• MS to acquire the data necessary to identify individual
proteins
• Bioinformatics to analyze and assemble the MS data

9. Recent Technical
innovations In
MS

10. Recent
advances in MS
based clinical
proteomics
• Profiling of the tumor genome and
transcriptome are now established tools for the
discovery of novel biomarkers .
• Alterations in proteome expression are more
likely to reflect changes in tumor
pathophysiology.
• MS is a powerful method that enables
increasingly comprehensive insights into
changes of the proteome to advance
personalized medicine .

11. Overview
of Clinical
Cancer
Proteomics
Strategies.
Reference : https://clinicalproteomicsjournal.biomedcentral.com/articles/10.1186/s12014-020-09283-w

13. Course Modules

14. Introduction to Proteomics
Basics of Mass spectrometry
MS/MS and Fragmentation method for proteome identification and quantification
analysis (CID, ETD, HCD)
Quantitative Proteomics
Bioinformatics tools to identify and quantify proteins using mass spectrometry data
1.
2.
3.
4.
5.

15. Post – Translational modification analysis using Mass Spectroscopy
Single cell Proteomics by mass spectroscopy
New approaches in mass spectroscopy
Challenges in Mass Spectroscopy –based proteomics
Applications of mass spectroscopy
6.
7.
8.
9.
10.

16. Companies
Working

18. Jobs Available
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Many more

19. Why should You Enroll ? • Help you get the job
• Elaborate lessons
• Boost your skills
• Help you learn more in a short
period
• Update you with the latest
knowledge
• Make your transition into a
professional easier
• Help you CV stand out of the
crowd – Easy to get hired