Literature DB >> 25546269

Qualis-SIS: automated standard curve generation and quality assessment for multiplexed targeted quantitative proteomic experiments with labeled standards.

Yassene Mohammed1, Andrew J Percy, Andrew G Chambers, Christoph H Borchers.   

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.

Entities:  

Keywords:  multiple reaction monitoring; multiplexed targeted proteomics; parallel reaction monitoring; reactive analysis; selected reaction monitoring; software

Mesh:

Year:  2015        PMID: 25546269     DOI: 10.1021/pr5010955

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

1.  Multiple Reaction Monitoring Enables Precise Quantification of 97 Proteins in Dried Blood Spots.

Authors:  Andrew G Chambers; Andrew J Percy; Juncong Yang; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2015-09-04       Impact factor: 5.911

2.  Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Authors:  Andrew J Percy; Christoph H Borchers
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

4.  Multiplexed targeted proteomic assay to assess coagulation factor concentrations and thrombosis-associated cancer.

Authors:  Yassene Mohammed; Bart J van Vlijmen; Juncong Yang; Andrew J Percy; Magnus Palmblad; Christoph H Borchers; Frits R Rosendaal
Journal:  Blood Adv       Date:  2017-06-20

5.  Time-Dependent Measurement of Nrf2-Regulated Antioxidant Response to Ionizing Radiation Toward Identifying Potential Protein Biomarkers for Acute Radiation Injury.

Authors:  Kate Liu; Elizabeth Singer; Whitaker Cohn; Ewa D Micewicz; William H McBride; Julian P Whitelegge; Joseph A Loo
Journal:  Proteomics Clin Appl       Date:  2019-09-04       Impact factor: 3.494

6.  Cellulose Synthase Stoichiometry in Aspen Differs from Arabidopsis and Norway Spruce.

Authors:  Xueyang Zhang; Pia Guadalupe Dominguez; Manoj Kumar; Joakim Bygdell; Sergey Miroshnichenko; Björn Sundberg; Gunnar Wingsle; Totte Niittylä
Journal:  Plant Physiol       Date:  2018-05-14       Impact factor: 8.340

Review 7.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

8.  Rapid Bacterial Identification, Resistance, Virulence and Type Profiling using Selected Reaction Monitoring Mass Spectrometry.

Authors:  Yannick Charretier; Olivier Dauwalder; Christine Franceschi; Elodie Degout-Charmette; Gilles Zambardi; Tiphaine Cecchini; Chloe Bardet; Xavier Lacoux; Philippe Dufour; Laurent Veron; Hervé Rostaing; Veronique Lanet; Tanguy Fortin; Corinne Beaulieu; Nadine Perrot; Dominique Dechaume; Sylvie Pons; Victoria Girard; Arnaud Salvador; Géraldine Durand; Frédéric Mallard; Alain Theretz; Patrick Broyer; Sonia Chatellier; Gaspard Gervasi; Marc Van Nuenen; Carolyn Ann Roitsch; Alex Van Belkum; Jérôme Lemoine; François Vandenesch; Jean-Philippe Charrier
Journal:  Sci Rep       Date:  2015-09-09       Impact factor: 4.379

9.  Molecular phenotyping of laboratory mouse strains using 500 multiple reaction monitoring mass spectrometry plasma assays.

Authors:  Sarah A Michaud; Nicholas J Sinclair; Helena Pětrošová; Andrea L Palmer; Adam J Pistawka; Suping Zhang; Darryl B Hardie; Yassene Mohammed; Azad Eshghi; Vincent R Richard; Albert Sickmann; Christoph H Borchers
Journal:  Commun Biol       Date:  2018-06-27

10.  ExSTA: External Standard Addition Method for Accurate High-Throughput Quantitation in Targeted Proteomics Experiments.

Authors:  Yassene Mohammed; Jingxi Pan; Suping Zhang; Jun Han; Christoph H Borchers
Journal:  Proteomics Clin Appl       Date:  2017-10-25       Impact factor: 3.494

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