Imaging: 

• Imaging at different scales 
• Physics of converting a 3D object into a 2D image 
• Electron microscopy 
• Light microscopy 
• Whole body imaging 

Genetics: 

• Nature and types of mutations 
• CRISPR techniques and application 
• Forward and reverse genetics 
• Drosophila model systems 
• Mouse genetics 

Biochemistry: 

• Molecular techniques for the analysis of DNA, RNA, and protein 
• Protein production and purification 
• Post-translational modifications 
• Protein-nucleic acid interactions 

Genomics: 

• Basic overview of genomes 
• Technology platforms for genomics 
• Sequencing techniques and approaches 
• Library construction 
• Single-cell analyses 

Quantitative and Computational Biology: 

• Overview of Unix and R 
• Review and plotting of TCGA data 
• RNA-seq 
• Single-cell RNA-seq 
• ChIP-seq  

Molecular and Nanoengineering 

• drug delivery 
• nanomaterials 
• instrumentation 
• tissue engineering 

Cancer Imaging 

• Optical (microscopy and intravital) 
• Acoustic (including ultrasound) 
• Nuclear imaging (PET, SPECT, and CT) as well as magnetic resonance imaging (MRI/MRS). 

Genetic Engineering 

• Tools and concepts that can be applied to laboratory research.  
• Benefits and risks 
• Latest research and technologies advancing the science of genetic principles explored during the Experimental Biology course  

• Cellular, molecular, and biochemical aspects of the immune system 
• How immune responses function in physiology.  
• Development of the immune system and the biological functions of its major components.  

• Understanding intellectual property 
• Evaluating the market for a technology 
• Building a basic financial model 
• Establishing funding mechanisms 
• Assessing regulatory issues 
• Developing a business plan.  

• Cancer as a disease 
• Genetic mechanisms 
• Cancer signaling 
• Computational biology and oncology 
• Cancer metabolism 
• Tumor heterogeneity 
• Cancer modeling 
• Tumor microenvironments 
• Metastasis 
• Targeted therapies 
• Immunotherapy