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Course Detail

Course Name Flow Cytometry and Applications
Course Code 25CLG533
Program M. Sc. Clinical Genomics
Semester 1
Credits 3
Campus Kochi

Syllabus

Unit 1

Introduction to Flow Cytometry, Overview of flow cytometry and its historical development, Basic components of a flow cytometer: fluidics, optics, and electronics, Principles of fluorescence and fluorochrome selection.

Unit 2

Instrumentation and Operation, Detailed study of flow cytometer components and their functions, Calibration, compensation, and quality control procedures, Hands-on training in instrument startup, operation, and shutdown protocols.

Unit 3

Experimental Design and Multicolor Panel Development, Strategies for designing flow cytometry experiments, Selection of antibodies and fluorochromes for multicolor panels, Controls and standards in flow cytometry assays.

Unit 4

Data Acquisition and Analysis, Techniques for data acquisition and gating strategies, Use of flow cytometry software for data analysis, Interpretation of histograms, dot plots, and statistical outputs.

Unit 5

Cell Sorting Techniques, Principles and mechanics of fluorescence-activated cell sorting (FACS), Sorting strategies: purity vs. yield considerations, Practical sessions on setting up and performing cell sorting experiments.

Unit 6

Applications of Flow Cytometry, Immunophenotyping and analysis of immune cell subsets, Assessment of cell cycle, apoptosis, and proliferation, Applications in stem cell research and cancer immunology.

Introduction

Preamble

Flow Cytometry Cell Sorting and Applications is a graduate-level course offering a comprehensive overview of flow cytometry technologies and their use in research and clinical settings. The course explores principles of fluorescence, antibody labeling, multi-parametric analysis, and cell sorting techniques. Applications discussed include immunophenotyping, cell cycle analysis, apoptosis detection, and stem cell characterization.

Objectives and Outcomes

Course Outcome:

CO1: Understand the principles and components of flow cytometry.

CO2: Operate flow cytometers, including calibration and quality control.

CO3: Design flow cytometry experiments with multicolor panels.

CO4: Acquire and analyze data using gating strategies and flow cytometry software.

CO5: Master FACS techniques for sorting cells based on purity and yield.

CO6: Apply flow cytometry in immunophenotyping, cell cycle analysis, apoptosis, and stem cell research.

Program outcome

PO1: Bioscience Knowledge

PO2: Problem Analysis

PO3: Design/Development of Solutions

PO4: Conduct Investigations of complex problems

PO5: Modern tools usage

PO6: Bioscientist and Society

PO7: Environment and Sustainability

PO8: Ethics

PO9: Individual & Team work

PO10: Communication

PO11: Project management & Finance

PO12: Lifelong learning

0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity

CO–PO Mapping Table:

COs

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CO1

3

2

–

–

3

–

–

–

–

–

–

2

CO2

3

2

2

2

3

–

–

–

–

–

–

2

CO3

3

3

3

2

3

–

–

–

–

–

–

2

CO4

3

3

3

3

3

–

–

–

–

1

–

2

CO5

3

2

3

3

3

–

–

–

–

–

–

2

CO6

3

3

3

3

3

2

–

–

–

–

–

3

Program Specific Outcomes (PSO):

PSO1. Apply fundamental molecular biology principles to interpret clinical genomic data.

PSO2. Use molecular techniques (e.g., PCR, RT-PCR, sequencing) to detect genetic mutations and biomarkers.

PSO3. Analyze genotype-phenotype correlations in inherited and acquired disorders.

PSO4. Identify pathogenic variants from NGS data and interpret their clinical relevance.

PSO5. Correlate molecular pathways with disease mechanisms and therapeutic targets.

PSO6. Develop and validate diagnostic assays based on molecular biology principles.

PSO7. Utilize molecular biology to support pharmacogenomic profiling and therapy optimization.

PSO8. Integrate multi-omic data (genomic, transcriptomic, epigenomic) for personalized health solutions.

PSO9. Apply molecular knowledge to cancer genomics, infectious diseases, and rare genetic disorders.

PSO10. Translate molecular discoveries into clinical interventions through evidence-based practice.

0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity

CO–PSO Mapping Table:

COs

PSO1

PSO2

PSO3

PSO4

PSO5

PSO6

PSO7

PSO8

PSO9

PSO10

CO1

2

–

–

–

–

–

–

–

–

–

CO2

–

–

–

–

–

2

–

–

–

–

CO3

–

–

–

–

2

2

–

–

–

–

CO4

–

–

–

–

2

2

–

–

–

2

CO5

–

–

–

–

2

2

–

–

–

2

CO6

2

–

2

–

3

3

–

1

2

3

 

Textbook/ References

Textbook:

  • Ormerod MG. Flow Cytometry: A Practical Approach. 3rd ed. Oxford: Oxford University Press; 2000.

Reference Book:

  • Robinson JP, Darzynkiewicz Z, Dressler LG, et al., editors. Current Protocols in Cytometry. New York (NY): John Wiley & Sons; 2001.

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