4240

Development of Cancer-Protecting Protein Drugs by Comparative Genomic

Tabach Yuval, HUJI, School of Medicine - IMRIC, Developmental Biology and Cancer Research

 

Category

LifeSciences and BioTechnology

Keywords

Genomics, Cancer Resistance, Species

Current development stage

General list: TRL3 Experimental proof of concept            

Application

  • Mutation in specific genes or variability in proteins can enhance dramatically our chance to get cancer. Similarly, genetic variability could have the opposite effect and actually protect us from cancer, other diseases and even increase the life expectancy.
  • Many species independently developed cancer resistance mechanisms. Multiple animals like bats or the naked mole rat have molecular mechanisms encoded in their genomes, making them resistant to cancer.  

Using comparative genomic approaches, our new framework will screen hundreds of genomes and identify the sequences that confer cancer resistance activity in different animals. Our algorithm will then design new proteins with improved cancer resistance abilities that can be used as drugs.

Our Innovation

  • Developing cancer vaccine that will build on millions of years of cancer resistance evolution. After analyzing cancer resistance signature and immunity in dozens organisms and study the mechanisms of action, we will apply it to human.
  • Deep analysis of comparative genomics
  • New method for mapping gene networks
  • Cutting edge algorithms for understanding the organisms' blueprint and applying it to health management.
  • Novel diagnostic markers

Technology

  • Learning from other species can be achieved utilizing comparative genomics approaches. The genomic revolution characterized by technological advances and shrinking cost of all DNA sequencing and analysis opened the door for comparative genomics research enabling us to detect basic biological similarities and differences and evolutionary relationships.
  • Detecting the variants and regions of the DNA that led to the resistance mechanisms. Picking the variants that would further fit the human.
  • The statistical method based on DNA comparison between thousands of species can predict whether a variant is useful, neutral or harmful for a specific genetic background.
  • Already surveyed 20,000 genes and identified 200 that should fully explain the heredity factor in breast cancer.

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Fig.1: The discovery platform

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Fig. 2: Uncovering the missing heredity in breast cancer

 

Opportunity

  • Diagnostic tools, treatment and vaccine for cancer patients and for people with high risk for developing cancer.
  • New and re-purposing drugs based on gene interaction
  • More accurate diagnostics
  • Crop enhancement

Contact for more information:

Aviv Shoher
SVP BUSINESS DEVELOPMENT
+972-2-6586635
Contact ME:
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