Cancer Transcriptomics and Pathways

Cancer Transcriptomics and Pathways

The study of cancer transcriptomics provides critical insights into the molecular mechanisms, signaling pathways, and regulatory networks driving tumor initiation, progression, and therapeutic response. This course offers an in-depth exploration of transcriptomic technologies, bioinformatic analysis, and pathway-centric interpretation in cancer research. Participants begin with an overview of cancer biology, transcriptomic profiling methods (bulk RNA-Seq, single-cell RNA-Seq), and experimental design considerations including sample preparation, sequencing depth, and replication. Emphasis is placed on data quality, normalization, and statistical analysis to ensure reliable results. Core modules cover differential gene expression analysis, clustering, dimensionality reduction, and identification of cancer-specific transcriptomic signatures. Participants gain hands-on experience with computational tools such as DESeq2, edgeR, Seurat, Monocle, and GSEA to analyze datasets, visualize expression patterns, and uncover molecular subtypes. Advanced topics include pathway and network analysis, integration with proteomics and epigenomics data, identification of driver genes, inference of regulatory networks, and prediction of therapeutic targets. The course also explores single-cell heterogeneity, tumor microenvironment, immune profiling, and applications in precision oncology. Participants learn to construct reproducible workflows, interpret biological relevance, and integrate results with public databases (TCGA, GEO, ENCODE). Ethical considerations, data privacy, and clinical relevance are emphasized throughout. By the end of this course, participants will be able to preprocess cancer transcriptomic data, perform differential expression and clustering analyses, identify key pathways and driver genes, integrate multi-omics datasets, construct reproducible analysis pipelines, visualize tumor heterogeneity, and apply insights to cancer research and precision medicine. This training equips bioinformaticians, computational biologists, and cancer researchers with the essential skills to translate transcriptomic data into actionable biological and clinical insights.

Syllabus

• Module 1: Introduction to Cancer Transcriptomics
• Module 2: Experimental Design and Data Acquisition
• Module 3: Quality Control and Normalization
• Module 4: Differential Expression Analysis (DESeq2, edgeR)
• Module 5: Clustering and Dimensionality Reduction
• Module 6: Single-Cell RNA-Seq Analysis (Seurat, Monocle)
• Module 7: Pathway and Network Analysis
• Module 8: Multi-Omics Integration (Proteomics, Epigenomics)
• Module 9: Tumor Microenvironment and Immune Profiling
• Module 10: Reproducible Workflows, Visualization, and Interpretation

Prerequisites

Basic knowledge of molecular biology, cancer biology, genomics, and bioinformatics; familiarity with R or Python programming

Learning Outcomes

Perform cancer transcriptomic data preprocessing; Conduct differential expression and clustering; Identify key pathways and driver genes; Integrate multi-omics datasets; Analyze single-cell heterogeneity; Construct reproducible workflows; Visualize tumor profiles; Apply insights to cancer research and precision medicine

Certificate

Participants who successfully complete the training program will be awarded an official Certificate of Completion issued by Helix Institute for Medical & Biological Sciences LLC (USA).
The certificate confirms that the participant has attended and fulfilled the academic and practical requirements of the course, including lectures, workshops, assignments, and assessments, where applicable.
Each certificate includes:

• Full name of the participant
• Duration and total instructional hours
• Date of completion
• Title of the training program
• Official signature of the authorized representative of Helix Institute
• Institutional logo and identification number (Certificate ID)
• Verification reference for authenticity

Certificates issued by Helix Institute are designed to support professional development, academic portfolios, and continuing education records. Participants may use the certificate as evidence of specialized training in biomedical and life sciences disciplines.
For selected programs, certificates may also be issued in collaboration with partner institutions, universities, or scientific organizations when applicable.
Helix Institute maintains records of issued certificates to ensure verification and transparency. Employers, academic institutions, and professional organizations may request confirmation of certificate authenticity through official communication with the Institute.
Certificates are delivered electronically in secure digital format upon successful completion of the program. Printed certificates may be issued upon request.