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A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS

Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of pept...

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Autores principales: Midha, Mukul K., Kusebauch, Ulrike, Shteynberg, David, Kapil, Charu, Bader, Samuel L., Reddy, Panga Jaipal, Campbell, David S., Baliga, Nitin S., Moritz, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665006/
https://www.ncbi.nlm.nih.gov/pubmed/33184295
http://dx.doi.org/10.1038/s41597-020-00724-7
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author Midha, Mukul K.
Kusebauch, Ulrike
Shteynberg, David
Kapil, Charu
Bader, Samuel L.
Reddy, Panga Jaipal
Campbell, David S.
Baliga, Nitin S.
Moritz, Robert L.
author_facet Midha, Mukul K.
Kusebauch, Ulrike
Shteynberg, David
Kapil, Charu
Bader, Samuel L.
Reddy, Panga Jaipal
Campbell, David S.
Baliga, Nitin S.
Moritz, Robert L.
author_sort Midha, Mukul K.
collection PubMed
description Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated a spectral assay library for 4,014 of the 4,389 annotated E. coli proteins using one- and two-dimensional fractionated samples, and ion mobility separation enabling deep proteome coverage. We demonstrate the utility of this high-quality library with robustness in quantitation of the E. coli proteome and with rapid-chromatography to enhance throughput by targeted DIA-MS. The spectral assay library supports the detection and quantification of 91.5% of all E. coli proteins at high-confidence with 56,182 proteotypic peptides, making it a valuable resource for the scientific community. Data and spectral libraries are available via ProteomeXchange (PXD020761, PXD020785) and SWATHAtlas (SAL00222-28).
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spelling pubmed-76650062020-11-17 A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS Midha, Mukul K. Kusebauch, Ulrike Shteynberg, David Kapil, Charu Bader, Samuel L. Reddy, Panga Jaipal Campbell, David S. Baliga, Nitin S. Moritz, Robert L. Sci Data Data Descriptor Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated a spectral assay library for 4,014 of the 4,389 annotated E. coli proteins using one- and two-dimensional fractionated samples, and ion mobility separation enabling deep proteome coverage. We demonstrate the utility of this high-quality library with robustness in quantitation of the E. coli proteome and with rapid-chromatography to enhance throughput by targeted DIA-MS. The spectral assay library supports the detection and quantification of 91.5% of all E. coli proteins at high-confidence with 56,182 proteotypic peptides, making it a valuable resource for the scientific community. Data and spectral libraries are available via ProteomeXchange (PXD020761, PXD020785) and SWATHAtlas (SAL00222-28). Nature Publishing Group UK 2020-11-12 /pmc/articles/PMC7665006/ /pubmed/33184295 http://dx.doi.org/10.1038/s41597-020-00724-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Midha, Mukul K.
Kusebauch, Ulrike
Shteynberg, David
Kapil, Charu
Bader, Samuel L.
Reddy, Panga Jaipal
Campbell, David S.
Baliga, Nitin S.
Moritz, Robert L.
A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title_full A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title_fullStr A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title_full_unstemmed A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title_short A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS
title_sort comprehensive spectral assay library to quantify the escherichia coli proteome by dia/swath-ms
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665006/
https://www.ncbi.nlm.nih.gov/pubmed/33184295
http://dx.doi.org/10.1038/s41597-020-00724-7
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