Grants
We gratefully acknowledge the support of the National Institutes of Health Small Business Innovative Research (SBIR) Program. Grant funding has enabled us to develop advanced, high-risk, high-reward technologies that we believe have great potential to produce novel products and services for the research community. Ultimately we aim to use these technologies to develop applications for the clinic, as well as to help accelerate drug development.
This source of funding has also enabled us to create additional exciting and rewarding high quality jobs at frontiers of biotechnology R&D.
Active Genomics Grants
Multiplexed Nucleic Acid Assays
Phase I SBIR (R43) Award
NIH/NIGMS
This project aims to enable the generation of high-resolution maps of gene expression in complex tissues.
Active Proteomics Grants
High-Throughput System for Protease Activity Profiling
Phase II SBIR (R44) Award
NIH/NIGMS
The novel protease activity profiling technology we are developing will help to enable large-scale studies of proteases.
New Technology for Functional Studies of the Kinome
Phase II SBIR (R44) Award
NIH/NIGMS
We are developing a novel technology to help enable large scale studies of kinases for identifying new drug targets and for drug development.
Arrays for Protease Activity Profiling
Phase II SBIR (R44) Award
NIH/NIGMS
The system we are developing for protease activity analysis will help to enable the deciphering of cellular regulation of protein degradation and the relationship to phenotype. It will help to identify disorders in cellular regulation that lead to disease.
Microarray Technology for Proteomics Research
Phase II SBIR (R44) Award
NIH/NCRR
The protein array technology we are developing will help to enable large-scale studies of proteins. This is useful for identifying new drug targets and for drug development and for analysis of protein abnormalities in autoimmune disease or cancer.
Highly Multiplexed Digital Assays
Phase I SBIR (R43) Award
NIH/NCRR
The technology we are developing is designed for detecting and analyzing large sets of biomarkers. This will be useful for detecting patterns of expression that provide information on normal and disease states.
