title: Qualis-SIS: automated standard curve generation and quality assessment for multiplexed targeted quantitative proteomic experiments with labeled standards.
abstract: Multiplexed targeted quantitative proteomics typically utilizes multiple reaction monitoring and allows the optimized quantification of a large number of proteins. One challenge, however, is the large amount of data that needs to be reviewed, analyzed, and interpreted. Different vendors provide software for their instruments, which determine the recorded responses of the heavy and endogenous peptides and perform the response-curve integration. Bringing multiplexed data together and generating standard curves is often an off-line step accomplished, for example, with spreadsheet software. This can be laborious, as it requires determining the concentration levels that meet the required accuracy and precision criteria in an iterative process. We present here a computer program, Qualis-SIS, that generates standard curves from multiplexed MRM experiments and determines analyte concentrations in biological samples. Multiple level-removal algorithms and acceptance criteria for concentration levels are implemented. When used to apply the standard curve to new samples, the software flags each measurement according to its quality. From the user's perspective, the data processing is instantaneous due to the reactivity paradigm used, and the user can download the results of the stepwise calculations for further processing, if necessary. This allows for more consistent data analysis and can dramatically accelerate the downstream data analysis.
authors.affiliation: University of Victoria - Genome British Columbia Proteomics Centre, University of Victoria , Vancouver Island Technology Park, #3101-4464 Markham Street, Victoria, British Columbia V8Z 7X8, Canada.
authors.forename: Yassene
authors.initials: Y
authors.lastname: Mohammed
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Percy
authors.forename: Andrew G
authors.initials: AG
authors.lastname: Chambers
authors.forename: Christoph H
authors.initials: CH
authors.lastname: Borchers
mesh_terms: D000465:Algorithms; D001331:Automation; D040901:Proteomics; D012015:Reference Standards
keywords: multiple reaction monitoring; multiplexed targeted proteomics; parallel reaction monitoring; reactive analysis; selected reaction monitoring; software