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High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in 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...

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Autores principales: Gao, Yuqian, Fillmore, Thomas L., Munoz, Nathalie, Bentley, Gayle J., Johnson, Christopher W., Kim, Joonhoon, Meadows, Jamie A., Zucker, Jeremy D., Burnet, Meagan C., Lipton, Anna K., Bilbao, Aivett, Orton, Daniel J., Kim, Young-Mo, Moore, Ronald J., Robinson, Errol W., Baker, Scott E., Webb-Robertson, Bobbie-Jo M., Guss, Adam M., Gladden, John M., Beckham, Gregg T., Magnuson, Jon K., Burnum-Johnson, Kristin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793925/
https://www.ncbi.nlm.nih.gov/pubmed/33425868
http://dx.doi.org/10.3389/fbioe.2020.603488
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author Gao, Yuqian
Fillmore, Thomas L.
Munoz, Nathalie
Bentley, Gayle J.
Johnson, Christopher W.
Kim, Joonhoon
Meadows, Jamie A.
Zucker, Jeremy D.
Burnet, Meagan C.
Lipton, Anna K.
Bilbao, Aivett
Orton, Daniel J.
Kim, Young-Mo
Moore, Ronald J.
Robinson, Errol W.
Baker, Scott E.
Webb-Robertson, Bobbie-Jo M.
Guss, Adam M.
Gladden, John M.
Beckham, Gregg T.
Magnuson, Jon K.
Burnum-Johnson, Kristin E.
author_facet Gao, Yuqian
Fillmore, Thomas L.
Munoz, Nathalie
Bentley, Gayle J.
Johnson, Christopher W.
Kim, Joonhoon
Meadows, Jamie A.
Zucker, Jeremy D.
Burnet, Meagan C.
Lipton, Anna K.
Bilbao, Aivett
Orton, Daniel J.
Kim, Young-Mo
Moore, Ronald J.
Robinson, Errol W.
Baker, Scott E.
Webb-Robertson, Bobbie-Jo M.
Guss, Adam M.
Gladden, John M.
Beckham, Gregg T.
Magnuson, Jon K.
Burnum-Johnson, Kristin E.
author_sort Gao, Yuqian
collection PubMed
description 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.
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spelling pubmed-77939252021-01-09 High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440 Gao, Yuqian Fillmore, Thomas L. Munoz, Nathalie Bentley, Gayle J. Johnson, Christopher W. Kim, Joonhoon Meadows, Jamie A. Zucker, Jeremy D. Burnet, Meagan C. Lipton, Anna K. Bilbao, Aivett Orton, Daniel J. Kim, Young-Mo Moore, Ronald J. Robinson, Errol W. Baker, Scott E. Webb-Robertson, Bobbie-Jo M. Guss, Adam M. Gladden, John M. Beckham, Gregg T. Magnuson, Jon K. Burnum-Johnson, Kristin E. Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2020-12-02 /pmc/articles/PMC7793925/ /pubmed/33425868 http://dx.doi.org/10.3389/fbioe.2020.603488 Text en Copyright © 2020 Gao, Fillmore, Munoz, Bentley, Johnson, Kim, Meadows, Zucker, Burnet, Lipton, Bilbao, Orton, Kim, Moore, Robinson, Baker, Webb-Robertson, Guss, Gladden, Beckham, Magnuson and Burnum-Johnson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Gao, Yuqian
Fillmore, Thomas L.
Munoz, Nathalie
Bentley, Gayle J.
Johnson, Christopher W.
Kim, Joonhoon
Meadows, Jamie A.
Zucker, Jeremy D.
Burnet, Meagan C.
Lipton, Anna K.
Bilbao, Aivett
Orton, Daniel J.
Kim, Young-Mo
Moore, Ronald J.
Robinson, Errol W.
Baker, Scott E.
Webb-Robertson, Bobbie-Jo M.
Guss, Adam M.
Gladden, John M.
Beckham, Gregg T.
Magnuson, Jon K.
Burnum-Johnson, Kristin E.
High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title_full High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title_fullStr High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title_full_unstemmed High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title_short High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
title_sort high-throughput large-scale targeted proteomics assays for quantifying pathway proteins in pseudomonas putida kt2440
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793925/
https://www.ncbi.nlm.nih.gov/pubmed/33425868
http://dx.doi.org/10.3389/fbioe.2020.603488
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