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Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways
The Toll-like receptor (TLR) and chemotaxis pathways are key components of the innate immune system. Subtle variation in the concentration, timing, and molecular structure of the ligands are known to affect downstream signaling and the resulting immune response. Computational modeling and simulation...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374760/ https://www.ncbi.nlm.nih.gov/pubmed/35961990 http://dx.doi.org/10.1038/s41597-022-01612-y |
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author | Manes, Nathan P. Calzola, Jessica M. Kaplan, Pauline R. Fraser, Iain D. C. Germain, Ronald N. Meier-Schellersheim, Martin Nita-Lazar, Aleksandra |
author_facet | Manes, Nathan P. Calzola, Jessica M. Kaplan, Pauline R. Fraser, Iain D. C. Germain, Ronald N. Meier-Schellersheim, Martin Nita-Lazar, Aleksandra |
author_sort | Manes, Nathan P. |
collection | PubMed |
description | The Toll-like receptor (TLR) and chemotaxis pathways are key components of the innate immune system. Subtle variation in the concentration, timing, and molecular structure of the ligands are known to affect downstream signaling and the resulting immune response. Computational modeling and simulation at the molecular interaction level can be used to study complex biological pathways, but such simulations require protein concentration values as model parameters. Here we report the development and application of targeted mass spectrometry assays to measure the absolute abundance of proteins of the mouse macrophage Toll-like receptor 4 (TLR4) and chemotaxis pathways. Two peptides per protein were quantified, if possible. The protein abundance values ranged from 1,332 to 227,000,000 copies per cell. They moderately correlated with transcript abundance values from a previously published mouse macrophage RNA-seq dataset, and these two datasets were combined to make proteome-wide abundance estimates. The datasets produced during this investigation can be used for pathway modeling and simulation, as well as for other studies of the TLR and chemotaxis pathways. |
format | Online Article Text |
id | pubmed-9374760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93747602022-08-14 Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways Manes, Nathan P. Calzola, Jessica M. Kaplan, Pauline R. Fraser, Iain D. C. Germain, Ronald N. Meier-Schellersheim, Martin Nita-Lazar, Aleksandra Sci Data Data Descriptor The Toll-like receptor (TLR) and chemotaxis pathways are key components of the innate immune system. Subtle variation in the concentration, timing, and molecular structure of the ligands are known to affect downstream signaling and the resulting immune response. Computational modeling and simulation at the molecular interaction level can be used to study complex biological pathways, but such simulations require protein concentration values as model parameters. Here we report the development and application of targeted mass spectrometry assays to measure the absolute abundance of proteins of the mouse macrophage Toll-like receptor 4 (TLR4) and chemotaxis pathways. Two peptides per protein were quantified, if possible. The protein abundance values ranged from 1,332 to 227,000,000 copies per cell. They moderately correlated with transcript abundance values from a previously published mouse macrophage RNA-seq dataset, and these two datasets were combined to make proteome-wide abundance estimates. The datasets produced during this investigation can be used for pathway modeling and simulation, as well as for other studies of the TLR and chemotaxis pathways. Nature Publishing Group UK 2022-08-12 /pmc/articles/PMC9374760/ /pubmed/35961990 http://dx.doi.org/10.1038/s41597-022-01612-y Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Manes, Nathan P. Calzola, Jessica M. Kaplan, Pauline R. Fraser, Iain D. C. Germain, Ronald N. Meier-Schellersheim, Martin Nita-Lazar, Aleksandra Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title | Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title_full | Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title_fullStr | Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title_full_unstemmed | Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title_short | Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways |
title_sort | absolute protein quantitation of the mouse macrophage toll-like receptor and chemotaxis pathways |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374760/ https://www.ncbi.nlm.nih.gov/pubmed/35961990 http://dx.doi.org/10.1038/s41597-022-01612-y |
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