Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
RNA interference (RNAi) is a natural cellular process used to regulate gene expression. This 3-day course will delve into the fundamental mechanisms behind RNAi and its application in controlling the expression of specific genes. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
RNA interference (RNAi) is a natural cellular process used to regulate gene expression. This 3-day course will delve into the fundamental mechanisms behind RNAi and its application in controlling the expression of specific genes.
📋 Course Objectives
1. Translate biotechnology theory into practical, reproducible analysis.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• Tangible, reproducible biotechnology work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
The Native Pathway
• Dicer processing, RISC loading and Argonaute slicing
• siRNA, shRNA and miRNA distinguished by origin and by outcome
• Passenger strand selection and thermodynamic asymmetry
Choosing a Sequence
• Design rules for potency and the algorithms that encode them
• Seed-region off-target effects as the dominant artefact in RNAi experiments
• Chemical modifications for stability and reduced immune stimulation
Getting siRNA into Cells
• Lipid transfection, electroporation and viral shRNA vectors compared
• Transfection toxicity confounded with the phenotype being measured
• Hard-to-transfect primary cells and the resulting compromises
Making the Result Interpretable
• Non-targeting controls, dose titration and knockdown quantification by RT-qPCR
• Protein-level confirmation by western blot — mRNA loss is not protein loss
• Rescue experiments as the strongest evidence of specificity
RNAi as Medicine
• Approved siRNA drugs and the GalNAc conjugate delivery breakthrough
• Tissue targeting beyond the liver as the remaining barrier
• RNAi against CRISPR knockout: when transient knockdown is the better design
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
Frequently Asked Questions
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