From Exosomal RNA Discovery to Precision Cancer Therapy — Explore Molecular Targets, Engineer Delivery Strategies & Advance RNA Therapeutics.
Exosomes are nanoscale extracellular vesicles that play important roles in intercellular communication, RNA transport, and tumor biology. Their ability to carry molecular cargo has made them promising candidates for targeted drug delivery and RNA-based cancer therapeutics.
This 3-day live, hands-on workshop explores exosome biology, cancer-associated RNA cargo, tumor microenvironment interactions, and precision therapeutic design. Participants will work with tools such as ExoCarta, Vesiclepedia, NCBI GEO, miRNet, Cytoscape, and UniProt to identify exosomal RNA candidates, analyse cancer-associated molecular networks, and investigate potential therapeutic targets.
Using breast cancer as a continuous case study, participants will progress from RNA cargo discovery and molecular pathway analysis to developing a computationally informed exosome-based RNA delivery strategy.
To provide participants with practical knowledge of exosome-based cancer therapeutics by integrating extracellular vesicle biology, RNA cargo profiling, cancer-associated molecular network analysis, and tumor-targeted drug delivery strategies using bioinformatics tools and publicly available research databases.
Understand exosome biology, extracellular vesicle characteristics, and their applications in cancer therapy.
Explore exosomal RNA cargo, including miRNAs, mRNAs, and lncRNAs, using publicly available databases.
Identify cancer-associated exosomal miRNA candidates and investigate their biological relevance.
Analyse tumor microenvironment interactions and cancer-related molecular signaling pathways.
Construct miRNA–gene regulatory networks and prioritize potential therapeutic targets.
Understand exosome engineering, RNA loading techniques, and tumor-targeting mechanisms.
Develop an evidence-based exosome-mediated RNA therapeutic design strategy.
Focus: Understand extracellular vesicle biology and identify cancer-associated exosomal RNA candidates using public databases.
Introduction to exosomes, extracellular vesicles (EVs) and their applications in precision cancer therapy.
Exosome biogenesis, molecular composition, secretion and cellular uptake.
Exosomal RNA cargo: miRNA, mRNA, lncRNA and therapeutic siRNA.
Tumor-derived exosomes in cancer progression, metastasis and intercellular communication.
Exosomal RNAs as potential cancer biomarkers and therapeutic targets.
Overview of EV isolation, characterization and MISEV2023 reporting principles.
Explore ExoCarta and Vesiclepedia for exosomal RNA cargo information.
Retrieve cancer-associated RNA expression datasets from NCBI GEO.
Identify and shortlist breast cancer-associated exosomal miRNA candidates using available experimental evidence.
Hands-On Lab 1: Exosomal RNA Cargo Profiling
Explore ExoCarta, Vesiclepedia and a curated breast cancer dataset to identify cancer-associated exosomal miRNAs and prepare a candidate RNA profile.
Tools: ExoCarta, Vesiclepedia, NCBI GEO, Google Sheets/Excel.
Practical Output: Candidate exosomal miRNA list with supporting disease-association evidence.
Focus: Analyse cancer-associated exosomal miRNA interactions, identify molecular pathways and prioritize potential therapeutic targets.
Tumor microenvironment: cancer cells, macrophages, immune cells and cancer-associated fibroblasts.
Exosome-mediated signaling in tumor growth, angiogenesis, metastasis and immune evasion.
Role of exosomal miRNAs in cancer-associated gene regulation and drug resistance.
miRNA–mRNA interaction prediction and experimentally supported target identification.
Retrieve miRNA–target gene information using miRNet and miRTarBase.
Construct miRNA–gene regulatory networks using Cytoscape.
Explore cancer-associated signaling pathways, including PI3K–AKT, TGF-β and Wnt/β-catenin.
Perform Gene Ontology and KEGG pathway enrichment analysis.
Identify important genes and regulatory interactions using network topology.
Prioritize potential RNA therapeutic targets using molecular evidence, pathway relevance and target-validation status.
Hands-On Lab 2: Cancer miRNA–Gene Network Analysis
Use shortlisted miRNAs from Day 1 to construct breast cancer-associated regulatory networks, identify target genes and analyse enriched cancer pathways.
Tools: miRNet, miRTarBase, Cytoscape, Enrichr, GO/KEGG.
Practical Output: miRNA–gene regulatory network, enriched pathway results and prioritized therapeutic target list.
Focus: Develop a computationally informed exosome-based RNA therapeutic design strategy for targeted cancer treatment.
Exosomes as biological nanocarriers for precision cancer therapeutics.
Selection of therapeutic RNA cargo: siRNA, miRNA mimics, miRNA inhibitors and antisense oligonucleotides.
Exosome sources: mesenchymal stromal cells, immune cells and engineered producer cells.
Overview of RNA cargo loading techniques: electroporation, passive incubation and producer-cell engineering.
Exosome surface engineering and tumor-targeting ligand strategies.
Tumor-associated receptors and receptor–ligand interactions for targeted delivery.
RNA protection, cellular uptake, intracellular trafficking and endosomal escape.
Use UniProt and published research evidence to assess candidate target proteins.
Compare exosome source, RNA cargo, targeting specificity and delivery feasibility.
Examine delivery limitations, off-target effects, immunogenicity and biodistribution challenges.
Introduction to therapeutic validation, scalability, reproducibility and clinical translation.
Hands-On Lab 3: Design an Exosome-Based RNA Therapeutic Strategy
Using the breast cancer targets identified on Day 2:
Select a candidate therapeutic RNA and its molecular target.
Evaluate a suitable exosome source and potential tumor-targeting strategy.
Compare available RNA loading and delivery approaches.
Build an evidence-based scoring matrix for cargo suitability, targeting rationale, feasibility and potential safety risks.
Prepare a preliminary exosome-mediated RNA therapeutic design report.
Tools: UniProt, miRNet, Cytoscape, Google Sheets/Excel, RNA Therapeutic Design Matrix.
Practical Output: Conceptual exosome-based RNA therapeutic design for breast cancer, including target selection, delivery strategy and validation considerations.
Undergraduate and postgraduate students in Biotechnology, Molecular Biology, Biochemistry, Microbiology, Genetics, and Life Sciences.
PhD scholars and research scientists working in Cancer Biology, Oncology, Extracellular Vesicles, RNA Biology, and Molecular Medicine.
Faculty members and academicians interested in precision oncology, nanomedicine, and translational research.
Bioinformatics and computational biology researchers interested in RNA–gene networks, molecular target discovery, and pathway analysis.
Pharmaceutical and biotechnology professionals working in targeted drug delivery, RNA therapeutics, and nanotechnology.
Medical and biomedical researchers interested in emerging cancer therapeutic approaches.
November 16, 2026
IST 4:30 PM
November 16, 2026 – November 18, 2026
IST 5:00 PM
Profile Exosomal RNA: Retrieve and analyse cancer-associated exosomal RNA data using ExoCarta, Vesiclepedia, and NCBI GEO.
Identify Molecular Targets: Screen candidate miRNAs and investigate their potential roles in cancer progression.
Analyse Regulatory Networks: Construct miRNA–gene interaction networks using miRNet and Cytoscape.
Interpret Cancer Pathways: Perform functional enrichment analysis and identify cancer-associated signaling pathways.
Evaluate RNA Delivery Strategies: Compare therapeutic RNA cargo, exosome engineering methods, and tumor-targeting approaches.
Design a Therapeutic Framework: Develop a preliminary exosome-based RNA delivery strategy supported by molecular evidence.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
