Optimization and Validation of Single-Molecule Kinetic Fingerprinting Technology for Rapid, Ultra-Specific Detection of Cancer Mutations


Year of Award:
2018
Status:
Active
Award Type:
R33
Project Number:
CA229023
RFA Number:
RFA-CA-17-011
Technology Track:
Molecular & Cellular Analysis Technologies
PI/Project Leader:
TEWARI, MUNEESH (contact); WALTER, NILS G
Institution:
UNIVERSITY OF MICHIGAN AT ANN ARBOR
PROJECT SUMMARY The ultimate vision of this proposal is to develop a technology platform for the direct, rapid, and robust detection of cancer-associated DNA mutations for diagnostics and research. DNA mutations have been known to be fundamental to cancer