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Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells
The continuous improvement of proteomic techniques, most notably mass spectrometry, has generated quantified proteomes of many organisms with unprecedented depth and accuracy. However, there is still a significant discrepancy in the reported numbers of total protein molecules per specific cell type....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916689/ https://www.ncbi.nlm.nih.gov/pubmed/36768409 http://dx.doi.org/10.3390/ijms24032081 |
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author | Dolgalev, Georgii V. Safonov, Taras A. Arzumanian, Viktoriia A. Kiseleva, Olga I. Poverennaya, Ekaterina V. |
author_facet | Dolgalev, Georgii V. Safonov, Taras A. Arzumanian, Viktoriia A. Kiseleva, Olga I. Poverennaya, Ekaterina V. |
author_sort | Dolgalev, Georgii V. |
collection | PubMed |
description | The continuous improvement of proteomic techniques, most notably mass spectrometry, has generated quantified proteomes of many organisms with unprecedented depth and accuracy. However, there is still a significant discrepancy in the reported numbers of total protein molecules per specific cell type. In this article, we explore the results of proteomic studies of Escherichia coli, Saccharomyces cerevisiae, and HeLa cells in terms of total protein copy numbers per cell. We observe up to a ten-fold difference between reported values. Investigating possible reasons for this discrepancy, we conclude that neither an unmeasured fraction of the proteome nor biases in the quantification of individual proteins can explain the observed discrepancy. We normalize protein copy numbers in each study using a total protein amount per cell as reported in the literature and create integrated proteome maps of the selected model organisms. Our results indicate that cells contain from one to three million protein molecules per µm(3) and that protein copy density decreases with increasing organism complexity. |
format | Online Article Text |
id | pubmed-9916689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99166892023-02-11 Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells Dolgalev, Georgii V. Safonov, Taras A. Arzumanian, Viktoriia A. Kiseleva, Olga I. Poverennaya, Ekaterina V. Int J Mol Sci Article The continuous improvement of proteomic techniques, most notably mass spectrometry, has generated quantified proteomes of many organisms with unprecedented depth and accuracy. However, there is still a significant discrepancy in the reported numbers of total protein molecules per specific cell type. In this article, we explore the results of proteomic studies of Escherichia coli, Saccharomyces cerevisiae, and HeLa cells in terms of total protein copy numbers per cell. We observe up to a ten-fold difference between reported values. Investigating possible reasons for this discrepancy, we conclude that neither an unmeasured fraction of the proteome nor biases in the quantification of individual proteins can explain the observed discrepancy. We normalize protein copy numbers in each study using a total protein amount per cell as reported in the literature and create integrated proteome maps of the selected model organisms. Our results indicate that cells contain from one to three million protein molecules per µm(3) and that protein copy density decreases with increasing organism complexity. MDPI 2023-01-20 /pmc/articles/PMC9916689/ /pubmed/36768409 http://dx.doi.org/10.3390/ijms24032081 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dolgalev, Georgii V. Safonov, Taras A. Arzumanian, Viktoriia A. Kiseleva, Olga I. Poverennaya, Ekaterina V. Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title | Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title_full | Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title_fullStr | Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title_full_unstemmed | Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title_short | Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells |
title_sort | estimating total quantitative protein content in escherichia coli, saccharomyces cerevisiae, and hela cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916689/ https://www.ncbi.nlm.nih.gov/pubmed/36768409 http://dx.doi.org/10.3390/ijms24032081 |
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