scholarly journals A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization

2017 ◽  
Vol 65 (2) ◽  
pp. 361-370 ◽  
Author(s):  
Brian K. Erickson ◽  
Christopher M. Rose ◽  
Craig R. Braun ◽  
Alison R. Erickson ◽  
Jeffrey Knott ◽  
...  
EBioMedicine ◽  
2019 ◽  
Vol 44 ◽  
pp. 322-333 ◽  
Author(s):  
Qiujin Shen ◽  
Karol Polom ◽  
Coralie Williams ◽  
Felipe Marques Souza de Oliveira ◽  
Mariana Guergova-Kuras ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yusei Matsuzaki ◽  
Wataru Aoki ◽  
Takumi Miyazaki ◽  
Shunsuke Aburaya ◽  
Yuta Ohtani ◽  
...  

AbstractOptimisation of protein binders relies on laborious screening processes. Investigation of sequence–function relationships of protein binders is particularly slow, since mutants are purified and evaluated individually. Here we developed peptide barcoding, a high-throughput approach for accurate investigation of sequence–function relationships of hundreds of protein binders at once. Our approach is based on combining the generation of a mutagenised nanobody library fused with unique peptide barcodes, the formation of nanobody–antigen complexes at different ratios, their fine fractionation by size-exclusion chromatography and quantification of peptide barcodes by targeted proteomics. Applying peptide barcoding to an anti-GFP nanobody as a model, we successfully identified residues important for the binding affinity of anti-GFP nanobody at once. Peptide barcoding discriminated subtle changes in KD at the order of nM to sub-nM. Therefore, peptide barcoding is a powerful tool for engineering protein binders, enabling reliable one-pot evaluation of sequence–function relationships.


2017 ◽  
Vol 12 (2) ◽  
pp. 1600180 ◽  
Author(s):  
Yassene Mohammed ◽  
Jingxi Pan ◽  
Suping Zhang ◽  
Jun Han ◽  
Christoph H. Borchers

2014 ◽  
Vol 26 ◽  
pp. 48-56 ◽  
Author(s):  
Tanveer S. Batth ◽  
Pragya Singh ◽  
Vikram R. Ramakrishnan ◽  
Mirta M.L. Sousa ◽  
Leanne Jade G. Chan ◽  
...  

2019 ◽  
Author(s):  
Qiujin Shen ◽  
Karol Polom ◽  
Coralie Williams ◽  
Felipe Marques Souza de Oliveira ◽  
Mariana Guergova-Kuras ◽  
...  

2016 ◽  
Vol 12 (8) ◽  
pp. 2389-2393 ◽  
Author(s):  
Nobuaki Takemori ◽  
Ayako Takemori ◽  
Yuki Tanaka ◽  
Jun Ishizaki ◽  
Hitoshi Hasegawa ◽  
...  

Development of a reference peptide library for selected reaction monitoring (SRM)-based targeted proteomics using a high-throughput protein synthesis system.


Author(s):  
Yuqian Gao ◽  
Thomas L. Fillmore ◽  
Nathalie Munoz ◽  
Gayle J. Bentley ◽  
Christopher W. Johnson ◽  
...  

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.


2015 ◽  
Vol 31 (14) ◽  
pp. 2415-2417 ◽  
Author(s):  
Hannes L. Röst ◽  
George Rosenberger ◽  
Ruedi Aebersold ◽  
Lars Malmström

2020 ◽  
Vol 220 ◽  
pp. 137-144 ◽  
Author(s):  
Jay S. Shavadia ◽  
Christopher B. Granger ◽  
Wendimagegn Alemayehu ◽  
Cynthia M. Westerhout ◽  
Thomas J. Povsic ◽  
...  

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