Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT CompBio Lecture 22 - Cancer Genomics (Fall 2019)
Posted
November 26, 2019
Views
5,379
Likes
118
Comments
4
Engagement
2.27%
November 26, 2019
5,379
118
4
2.27%
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1:26:33Now PlayingMIT Computational Biology: Genomes, Networks, Evolution, Health
Prof. Manolis Kellis
Full playlist with all videos in order is here
All slides from Fall 2019 are here
Outline for this lecture:
0. Introduction: oncogenes, tumor suppressors, hallmarks
- Hallmarks of cancer, tumor-suppressors, proto-oncogenes/oncogenes, mutator phenotype, oncoviruses, and fusion oncogenes.
- Exome sequencing lessons: recurrence and heterogeneity
1. Recurrence: common signatures across types/patients/tumors/clones
- Evolutionary dynamics: clonal heterogeneity, computational models
- WGS lessons: non-coding drivers and convergence
2. Background mutation rate: regions, chromatin states, patients, plexi
- Convergence: mutations enhancers genes pathways
3. Beyond mutations: epigenomics, functional heterogeneity
- Epigenomic alterations: reprogramming
- Single-cell sequencing: functional heterogeneity
4. Tumor immunology, microenvironment, immunotherapy
- Tumor-microenvironment interactions, cancer immunoediting.
- Neo-antigens, immune suppression, immunotherapy.
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