Grant: Strategic Projects - Group
University of Saskatchewan
$116,844.00
Development of real-time control methodologies for tandem mass spectrometry
FY 2007-08
Summary
One of the most important goals in the early detection of genomic-related disease, and the discovery ofassociated biomarkers, is to identify and characterize the proteins and protein complexes present in related celllines. Tandem mass spectrometry (MS/MS) is a powerful tool for identifying and comparing the proteinsexpressed in complex biological systems. However, the performance of mass spectrometers remains limited interms of the proportion of MS/MS data that can actually be interpreted. For example, up to 70% of the peptideMS/MS spectra generated by quadrupole-time of flight mass spectrometers, and up to 85% of those producedby ion trapping instruments, cannot be interpreted using any available technique. Furthermore, a great deal oftime is wasted in acquiring and attempting to interpret these poor-quality spectra. Based on our experience,literature review, and conversations with industry, it is apparent that the main obstacle to improvingperformance in protein mass spectrometry is the lack of fast, efficient algorithms capable of real-time detectionand/or selection of target peptide ions for fragmentation and MS/MS analysis. The goal of the proposedresearch is to overcome this challenge, and hence, increase throughput and efficiency for protein massspectrometry. This will be achieved by developing (a) an efficient algorithm for assessing the quality of peptideMS/MS spectra, and (b) a fast and accurate algorithm for on-line protein identification using verified peptideMS/MS spectra. The proposed research will significantly improve the performance of mass spectrometers byenabling the development of real-time control methodologies based upon the algorithms developed in thisproposal. In providing such advanced methodologies for high-throughput identification of proteins and proteinbiomarkers, this project will also make a major contribution to Canadian health research, while promotingacademic, industrial economic activity in Canada.
Program
Strategic Projects - Group
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
336805-2006
Name nom
Wu, FangXiang
Department département
Mechanical Engineering
Organization id
16
Institution établissement
University of Saskatchewan
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
116844
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1042
Committee name en
Strategic Projects Selection Panel - Biomedical Technologies
Committee name fr
Comité de sélection des projets stratégiques - Technologies biomédicales
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Partie
2
Nb partie
3
Application title
Development of real-time control methodologies for tandem mass spectrometry
Keyword
NA
Application summary
One of the most important goals in the early detection of genomic-related disease, and the discovery ofassociated biomarkers, is to identify and characterize the proteins and protein complexes present in related celllines. Tandem mass spectrometry (MS/MS) is a powerful tool for identifying and comparing the proteinsexpressed in complex biological systems. However, the performance of mass spectrometers remains limited interms of the proportion of MS/MS data that can actually be interpreted. For example, up to 70% of the peptideMS/MS spectra generated by quadrupole-time of flight mass spectrometers, and up to 85% of those producedby ion trapping instruments, cannot be interpreted using any available technique. Furthermore, a great deal oftime is wasted in acquiring and attempting to interpret these poor-quality spectra. Based on our experience,literature review, and conversations with industry, it is apparent that the main obstacle to improvingperformance in protein mass spectrometry is the lack of fast, efficient algorithms capable of real-time detectionand/or selection of target peptide ions for fragmentation and MS/MS analysis. The goal of the proposedresearch is to overcome this challenge, and hence, increase throughput and efficiency for protein massspectrometry. This will be achieved by developing (a) an efficient algorithm for assessing the quality of peptideMS/MS spectra, and (b) a fast and accurate algorithm for on-line protein identification using verified peptideMS/MS spectra. The proposed research will significantly improve the performance of mass spectrometers byenabling the development of real-time control methodologies based upon the algorithms developed in thisproposal. In providing such advanced methodologies for high-throughput identification of proteins and proteinbiomarkers, this project will also make a major contribution to Canadian health research, while promotingacademic, industrial economic activity in Canada.