Master Next-Generation CAR-T Therapies: From Laboratory Discoveries to Industry Solutions in 4 weeks through hands-on, project-based online training with DSTC.
Chimeric Antigen Receptor (CAR)-T cell therapy has revolutionized cancer treatment, especially in hematological malignancies. However, challenges such as cytokine release syndrome (CRS), neurotoxicity, limited persistence, antigen escape, and manufacturing complexity have driven the development of next-generation CAR designs. Innovations include dual-target CARs, armored CAR-T cells, logic-gated systems, and gene-edited universal CAR platforms aimed at improving safety, efficacy, and accessibility. Across 4 Weeks, you will build practical fluency in limited persistence and antigen escape, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
Chimeric Antigen Receptor (CAR)-T cell therapy has revolutionized cancer treatment, especially in hematological malignancies. However, challenges such as cytokine release syndrome (CRS), neurotoxicity, limited persistence, antigen escape, and manufacturing complexity have driven the development of next-generation CAR designs. Innovations include dual-target CARs, armored CAR-T cells, logic-gated systems, and gene-edited universal CAR platforms aimed at improving safety, efficacy, and accessibility.
1. Get comfortable working with limited persistence.
2. Build practical fluency in antigen escape.
3. Apply biotechnology methods to authentic research and industry problems.
4. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ Data and computational scientists moving into limited persistence
β’ Confidence to apply limited persistence in real projects.
β’ Confidence to implement antigen escape in real projects.
β’ A demonstrable biotechnology project for your research or industry portfolio.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
β’ TCR signalling versus synthetic CAR signalling, and where the analogy breaks
β’ Tumour antigen selection: expression thresholds, heterogeneity and on-target off-tumour risk
β’ The immunosuppressive tumour microenvironment and mechanisms of immune evasion
β’ Binder selection and affinity tuning; scFv, VHH and ligand-based recognition
β’ Hinge and transmembrane choices and their effect on synapse geometry
β’ Costimulatory domain trade-offs: CD28 potency versus 4-1BB persistence
β’ Armoured CARs, logic gates, and safety switches such as iCasp9 and EGFRt
β’ Lentiviral and gammaretroviral vectors; vector copy number limits and insertional risk
β’ Non-viral delivery: Sleeping Beauty and piggyBac transposons
β’ Site-specific knock-in at the TRAC locus and why targeted integration matters
β’ Allogeneic strategies: TRAC and B2M editing to limit GvHD and rejection
β’ Apheresis, selection and activation; starting-material variability
β’ Transduction, expansion platforms and closed-system processing
β’ Cryopreservation, cold chain and the practical limits of vein-to-vein time
β’ Release assays: identity, purity, potency, sterility, mycoplasma and endotoxin
β’ Lymphodepletion rationale and dose-finding in cell therapy
β’ Cytokine release syndrome and ICANS: ASTCT consensus grading and intervention
β’ Tocilizumab and corticosteroid algorithms, and their effect on efficacy
β’ Mechanisms of relapse: antigen loss, T-cell exhaustion and poor persistence
β’ IND-enabling package and CMC comparability across process changes
β’ Designing a potency assay regulators will accept
β’ GMP requirements for cell therapy facilities and personnel
β’ Scale-out versus scale-up economics, and access in cost-constrained health systems
| 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 |
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