scholarly journals Long-Gradient Separations Coupled with Selected Reaction Monitoring for Highly Sensitive, Large Scale Targeted Protein Quantification in a Single Analysis

2013 ◽  
Vol 85 (19) ◽  
pp. 9196-9203 ◽  
Author(s):  
Tujin Shi ◽  
Thomas L. Fillmore ◽  
Yuqian Gao ◽  
Rui Zhao ◽  
Jintang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Protein Quantification ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Highly Sensitive

Automated Workflow for Large-Scale Selected Reaction Monitoring Experiments

2012 ◽  
Vol 11 (3) ◽  
pp. 1644-1653 ◽  
Author(s):  
Lars Malmström ◽  
Johan Malmström ◽  
Nathalie Selevsek ◽  
George Rosenberger ◽  
Ruedi Aebersold
Keyword(s):  
Large Scale ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring

scholarly journals Automated Selected Reaction Monitoring Software for Accurate Label-Free Protein Quantification

2012 ◽  
Vol 11 (7) ◽  
pp. 3766-3773 ◽  
Author(s):  
Johan Teleman ◽  
Christofer Karlsson ◽  
Sofia Waldemarson ◽  
Karin Hansson ◽  
Peter James ◽  
...  
Keyword(s):  
Protein Quantification ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Label Free ◽  
Free Protein ◽  
Monitoring Software

scholarly journals Quantitative assay of targeted proteome in tomato trichome glandular cells using a large-scale selected reaction monitoring strategy

Plant Methods ◽  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Ayako Takemori ◽  
Taiken Nakashima ◽  
Hisashi Ômura ◽  
Yuki Tanaka ◽  
Keisuke Nakata ◽  
...  
Keyword(s):  
Large Scale ◽  
Quantitative Assay ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Monitoring Strategy ◽  
Glandular Cells

Automated selected reaction monitoring data analysis workflow for large-scale targeted proteomic studies

2013 ◽  
Vol 8 (8) ◽  
pp. 1602-1619 ◽  
Author(s):  
Silvia Surinova ◽  
Ruth Hüttenhain ◽  
Ching-Yun Chang ◽  
Lucia Espona ◽  
Olga Vitek ◽  
...  
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Monitoring Data ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Analysis Workflow

scholarly journals High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440

2020 ◽  
Vol 8 ◽  
Author(s):  
Yuqian Gao ◽  
Thomas L. Fillmore ◽  
Nathalie Munoz ◽  
Gayle J. Bentley ◽  
Christopher W. Johnson ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Systems Biology ◽  
Pseudomonas Putida ◽  
High Throughput ◽  
High Speed ◽  
Large Scale ◽  
Protein Quantification ◽  
Selected Reaction Monitoring ◽  
Targeted Proteomics ◽  
Pseudomonas Putida Kt2440

Targeted proteomics is a mass spectrometry-based protein quantification technique with high sensitivity, accuracy, and reproducibility. As a key component in the multi-omics toolbox of systems biology, targeted liquid chromatography-selected reaction monitoring (LC-SRM) measurements are critical for enzyme and pathway identification and design in metabolic engineering. To fulfill the increasing need for analyzing large sample sets with faster turnaround time in systems biology, high-throughput LC-SRM is greatly needed. Even though nanoflow LC-SRM has better sensitivity, it lacks the speed offered by microflow LC-SRM. Recent advancements in mass spectrometry instrumentation significantly enhance the scan speed and sensitivity of LC-SRM, thereby creating opportunities for applying the high speed of microflow LC-SRM without losing peptide multiplexing power or sacrificing sensitivity. Here, we studied the performance of microflow LC-SRM relative to nanoflow LC-SRM by monitoring 339 peptides representing 132 enzymes in Pseudomonas putida KT2440 grown on various carbon sources. The results from the two LC-SRM platforms are highly correlated. In addition, the response curve study of 248 peptides demonstrates that microflow LC-SRM has comparable sensitivity for the majority of detected peptides and better mass spectrometry signal and chromatography stability than nanoflow LC-SRM.

scholarly journals Targeted glycomics by selected reaction monitoring for highly sensitive glycan compositional analysis

PROTEOMICS ◽  
2012 ◽  
Vol 12 (15-16) ◽  
pp. 2510-2522 ◽  
Author(s):  
Hongquan Zhang ◽  
Zhaohui Wang ◽  
Jacek Stupak ◽  
Othman Ghribi ◽  
Jonathan D. Geiger ◽  
...  
Keyword(s):  
Compositional Analysis ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Highly Sensitive
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