Real-time detection of cancer biomarkers using a self-sustained aptazyme
Description: Detection of cancer biomarkers can reduce mortality rates in patients by facilitating individualized diagnosis and early treatment. It is likely that new biomarkers will be discovered, thus a general diagnostic tool that can detect all biomarkers (whether protein, small molecule, or nucleic acid) would circumvent timely and costly assay development.(1-4) The self-sustained system proposed in this application has the potential for universal and multiplexed detection of current and newly discovered cancer biomarkers in real-time.
Funder: National Cancer Institute
Funding type: fellowship
Funder scheme: F32
Start date: 2011-09-24
End date: 2014-09-23
Investigator: CHARLES OLEA
Institution: SCRIPPS RESEARCH INSTITUTE, THE
Subfield: Molecular Biology
Domain: Life Sciences
Funded outputs count: 4
Funder award ID: F32CA165430
OpenAlex ID: G6983881007