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Grant: Idea to Innovation

University of Ottawa

$125,000.00

Finding a needle in a genomic haystack: A tool for pinning down genetic edits

EF 2020-21

Résumé
The rapidly expanding discipline of Genetic editing has been introduced to the general public through some of the flashier or controversial applications including efforts to clone the woolly mammoth or the unnecessary alteration of the human 24nome before birth. However, in more mainstream applications genomic editing has entered nearly every aspect of biology research and medicine including clinical trials to correct devastating diseases, enabled the altering of mosquitoes' DNA to combat the malaria parasite, and has the potential to help coral become more resistant to rising water temperatures. With seemingly endless beneficial applications for genetic editing, a commercial need has developed for efficient and high-throughput detection of these edits. This need is based on the low success rates of genetic edits that results in the need for labs or companies to screen often hundreds of samples to identify, select or quantify the genetic editing. Techniques currently available to determine which cells have been affected by genome editing are either inefficient, labor-intensive, prohibitively expensive, or are not conducive to high-throughput capabilities required by industry and scientists. This proposal will set the groundwork for a new high-throughput and efficient genotyping, called the Mixed Melt Discrimination (MMD).
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
548817-2020
Name nom
Russell, Ryan
Department département
Cellular and Molecular Medicine
Organization id
28
Institution établissement
University of Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
125000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
5402
Research subject group en
Biochemistry
Research subject group fr
Biochimie
Research subject en
Nucleic acids
Research subject fr
Acides nucléiques
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Finding a needle in a genomic haystack: A tool for pinning down genetic edits
Keyword
NSERC
Application summary
The rapidly expanding discipline of Genetic editing has been introduced to the general public through some of the flashier or controversial applications including efforts to clone the woolly mammoth or the unnecessary alteration of the human 24nome before birth. However, in more mainstream applications genomic editing has entered nearly every aspect of biology research and medicine including clinical trials to correct devastating diseases, enabled the altering of mosquitoes' DNA to combat the malaria parasite, and has the potential to help coral become more resistant to rising water temperatures. With seemingly endless beneficial applications for genetic editing, a commercial need has developed for efficient and high-throughput detection of these edits. This need is based on the low success rates of genetic edits that results in the need for labs or companies to screen often hundreds of samples to identify, select or quantify the genetic editing. Techniques currently available to determine which cells have been affected by genome editing are either inefficient, labor-intensive, prohibitively expensive, or are not conducive to high-throughput capabilities required by industry and scientists. This proposal will set the groundwork for a new high-throughput and efficient genotyping, called the Mixed Melt Discrimination (MMD).