NIH policy NOT-OD-25-132 prohibits the use of AI-generated text in grant applications that is not substantially modified by the applicant. All AI-drafted sections must be thoroughly rewritten in your own words before submission.
View full policyOD - NIH Office of the Director
Abstract The natural world is filled with fascinating proteins and the arms race between bacteria and viruses is a particularly rich reservoir for their discovery. Research in this area over the past decades has uncovered restriction enzymes for genetic mapping, T7 phage polymerase used in the production of mRNA vaccines, and Cas9 for genome editing, and motivates continued exploration into this genetic conflict for useful molecular machines. Bacteria have many defense strategies against foreign elements, including CRISPR-Cas systems, which typically provide immunity through RNA-guided nuclease activity, however, my work has uncovered new RNA-guided functions including CRISPR-associated transposases that perform RNA-targeted DNA insertion, and CRISPR- associated proteases that cleave protein substrates upon target RNA detection. These systems reveal exciting new biology and how diverse enzymes can acquire, or be acquired by, RNA-guided proteins and I believe only scratch the surface of programmable functions that exist in nature. Practically, the characterization of new RNA-guided functions will enable new capabilities in biology to alter and control cells based on genetic information. The discovery of Cas9 and programmable nucleases opened the door for genome editing technology and I envision that additional programmable modalities could similarly transform biology and provide much needed molecular tools to interrogate the function and regulation of the human genome. Advances in DNA and RNA sequencing have provided insight into gene function, mutations that cause disease, and unique cell populations based on gene expression signatures, however, we lack the ability to alter and control cells based on their genomic and transcriptomic state. My goal is to discover and characterize proteins that are regulated via nucleic acid recognition and to harness these discoveries to engineer and control human cells.
Up to $1.5M
2028-08-31
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
Subscribe for Pro access · Includes AI drafting + templates + PDF export
Dynamic Cognitive Phenotypes for Prediction of Mental Health Outcomes in Serious Mental Illness
NIMH - National Institute of Mental Health — up to $18.3M
COORDINATED FACILITIES REQUIREMENTS FOR FY25 - FACILITIES TO I
NCI - National Cancer Institute — up to $15.1M
Leveraging Artificial Intelligence to Predict Mental Health Risk among Youth Presenting to Rural Primary Care Clinics
NIMH - National Institute of Mental Health — up to $15.0M
Feasibility of Genomic Newborn Screening Through Public Health Laboratories
OD - NIH Office of the Director — up to $14.4M
WOMEN'S HEALTH INITIATIVE (WHI) CLINICAL COORDINATING CENTER - TASK AREA A AND A2
NHLBI - National Heart Lung and Blood Institute — up to $10.2M
Metal Exposures, Omics, and AD/ADRD risk in Diverse US Adults
NIA - National Institute on Aging — up to $10.2M