The proteome landscape of the kingdoms of life

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Standard

The proteome landscape of the kingdoms of life. / Müller, Johannes B; Geyer, Philipp E; Colaço, Ana R.; Treit, Peter V; Strauss, Maximilian T; Oroshi, Mario; Doll, Sophia; Virreira Winter, Sebastian; Bader, Jakob M; Köhler, Niklas; Theis, Fabian; Santos, Alberto; Mann, Matthias.

I: Nature, Bind 582, 2020, s. 592-596.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Müller, JB, Geyer, PE, Colaço, AR, Treit, PV, Strauss, MT, Oroshi, M, Doll, S, Virreira Winter, S, Bader, JM, Köhler, N, Theis, F, Santos, A & Mann, M 2020, 'The proteome landscape of the kingdoms of life', Nature, bind 582, s. 592-596. https://doi.org/10.1038/s41586-020-2402-x

APA

Müller, J. B., Geyer, P. E., Colaço, A. R., Treit, P. V., Strauss, M. T., Oroshi, M., ... Mann, M. (2020). The proteome landscape of the kingdoms of life. Nature, 582, 592-596. https://doi.org/10.1038/s41586-020-2402-x

Vancouver

Müller JB, Geyer PE, Colaço AR, Treit PV, Strauss MT, Oroshi M o.a. The proteome landscape of the kingdoms of life. Nature. 2020;582:592-596. https://doi.org/10.1038/s41586-020-2402-x

Author

Müller, Johannes B ; Geyer, Philipp E ; Colaço, Ana R. ; Treit, Peter V ; Strauss, Maximilian T ; Oroshi, Mario ; Doll, Sophia ; Virreira Winter, Sebastian ; Bader, Jakob M ; Köhler, Niklas ; Theis, Fabian ; Santos, Alberto ; Mann, Matthias. / The proteome landscape of the kingdoms of life. I: Nature. 2020 ; Bind 582. s. 592-596.

Bibtex

@article{fb677018d218443bb59cc270cc9d0bda,
title = "The proteome landscape of the kingdoms of life",
abstract = "Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported1, advances in mass-spectrometry-based proteomics2 have enabled increasingly comprehensive identification and quantification of the human proteome3-6. However, there have been few comparisons across species7,8, in stark contrast with genomics initiatives9. Here we use an advanced proteomics workflow-in which the peptide separation step is performed by a microstructured and extremely reproducible chromatographic system-for the in-depth study of 100 taxonomically diverse organisms. With two million peptide and 340,000 stringent protein identifications obtained in a standardized manner, we double the number of proteins with solid experimental evidence known to the scientific community. The data also provide a large-scale case study for sequence-based machine learning, as we demonstrate by experimentally confirming the predicted properties of peptides from Bacteroides uniformis. Our results offer a comparative view of the functional organization of organisms across the entire evolutionary range. A remarkably high fraction of the total proteome mass in all kingdoms is dedicated to protein homeostasis and folding, highlighting the biological challenge of maintaining protein structure in all branches of life. Likewise, a universally high fraction is involved in supplying energy resources, although these pathways range from photosynthesis through iron sulfur metabolism to carbohydrate metabolism. Generally, however, proteins and proteomes are remarkably diverse between organisms, and they can readily be explored and functionally compared at www.proteomesoflife.org.",
author = "M{\"u}ller, {Johannes B} and Geyer, {Philipp E} and Cola{\cc}o, {Ana R.} and Treit, {Peter V} and Strauss, {Maximilian T} and Mario Oroshi and Sophia Doll and {Virreira Winter}, Sebastian and Bader, {Jakob M} and Niklas K{\"o}hler and Fabian Theis and Alberto Santos and Matthias Mann",
year = "2020",
doi = "10.1038/s41586-020-2402-x",
language = "English",
volume = "582",
pages = "592--596",
journal = "Nature",
issn = "0028-0836",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - The proteome landscape of the kingdoms of life

AU - Müller, Johannes B

AU - Geyer, Philipp E

AU - Colaço, Ana R.

AU - Treit, Peter V

AU - Strauss, Maximilian T

AU - Oroshi, Mario

AU - Doll, Sophia

AU - Virreira Winter, Sebastian

AU - Bader, Jakob M

AU - Köhler, Niklas

AU - Theis, Fabian

AU - Santos, Alberto

AU - Mann, Matthias

PY - 2020

Y1 - 2020

N2 - Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported1, advances in mass-spectrometry-based proteomics2 have enabled increasingly comprehensive identification and quantification of the human proteome3-6. However, there have been few comparisons across species7,8, in stark contrast with genomics initiatives9. Here we use an advanced proteomics workflow-in which the peptide separation step is performed by a microstructured and extremely reproducible chromatographic system-for the in-depth study of 100 taxonomically diverse organisms. With two million peptide and 340,000 stringent protein identifications obtained in a standardized manner, we double the number of proteins with solid experimental evidence known to the scientific community. The data also provide a large-scale case study for sequence-based machine learning, as we demonstrate by experimentally confirming the predicted properties of peptides from Bacteroides uniformis. Our results offer a comparative view of the functional organization of organisms across the entire evolutionary range. A remarkably high fraction of the total proteome mass in all kingdoms is dedicated to protein homeostasis and folding, highlighting the biological challenge of maintaining protein structure in all branches of life. Likewise, a universally high fraction is involved in supplying energy resources, although these pathways range from photosynthesis through iron sulfur metabolism to carbohydrate metabolism. Generally, however, proteins and proteomes are remarkably diverse between organisms, and they can readily be explored and functionally compared at www.proteomesoflife.org.

AB - Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported1, advances in mass-spectrometry-based proteomics2 have enabled increasingly comprehensive identification and quantification of the human proteome3-6. However, there have been few comparisons across species7,8, in stark contrast with genomics initiatives9. Here we use an advanced proteomics workflow-in which the peptide separation step is performed by a microstructured and extremely reproducible chromatographic system-for the in-depth study of 100 taxonomically diverse organisms. With two million peptide and 340,000 stringent protein identifications obtained in a standardized manner, we double the number of proteins with solid experimental evidence known to the scientific community. The data also provide a large-scale case study for sequence-based machine learning, as we demonstrate by experimentally confirming the predicted properties of peptides from Bacteroides uniformis. Our results offer a comparative view of the functional organization of organisms across the entire evolutionary range. A remarkably high fraction of the total proteome mass in all kingdoms is dedicated to protein homeostasis and folding, highlighting the biological challenge of maintaining protein structure in all branches of life. Likewise, a universally high fraction is involved in supplying energy resources, although these pathways range from photosynthesis through iron sulfur metabolism to carbohydrate metabolism. Generally, however, proteins and proteomes are remarkably diverse between organisms, and they can readily be explored and functionally compared at www.proteomesoflife.org.

U2 - 10.1038/s41586-020-2402-x

DO - 10.1038/s41586-020-2402-x

M3 - Journal article

C2 - 32555458

VL - 582

SP - 592

EP - 596

JO - Nature

JF - Nature

SN - 0028-0836

ER -

ID: 243474025