Literature DB >> 32555458

The proteome landscape of the kingdoms of life.

Johannes B Müller1, Philipp E Geyer1,2, Ana R Colaço3, Peter V Treit1, Maximilian T Strauss1,2, Mario Oroshi1, Sophia Doll1,2, Sebastian Virreira Winter1,2, Jakob M Bader1, Niklas Köhler4, Fabian Theis4,5, Alberto Santos3,6, Matthias Mann7,8.   

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.

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Year:  2020        PMID: 32555458     DOI: 10.1038/s41586-020-2402-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  30 in total

1.  Collision Cross Sections for Native Proteomics: Challenges and Opportunities.

Authors:  Brandon T Ruotolo
Journal:  J Proteome Res       Date:  2021-11-30       Impact factor: 4.466

2.  Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Young-Ki Paik; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Susan Weintraub; Michael H A Roehrl; Siqi Liu; Nuno Bandeira; Sudhir Srivastava; Yu-Ju Chen; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2021-10-20       Impact factor: 5.370

3.  Understudied proteins: opportunities and challenges for functional proteomics.

Authors:  Georg Kustatscher; Tom Collins; Anne-Claude Gingras; Tiannan Guo; Henning Hermjakob; Trey Ideker; Kathryn S Lilley; Emma Lundberg; Edward M Marcotte; Markus Ralser; Juri Rappsilber
Journal:  Nat Methods       Date:  2022-07       Impact factor: 47.990

4.  A network-based comparative framework to study conservation and divergence of proteomes in plant phylogenies.

Authors:  Junha Shin; Harald Marx; Alicia Richards; Dries Vaneechoutte; Dhileepkumar Jayaraman; Junko Maeda; Sanhita Chakraborty; Michael Sussman; Klaas Vandepoele; Jean-Michel Ané; Joshua Coon; Sushmita Roy
Journal:  Nucleic Acids Res       Date:  2021-01-11       Impact factor: 16.971

5.  Proteomics in Non-model Organisms: A New Analytical Frontier.

Authors:  Michelle Heck; Benjamin A Neely
Journal:  J Proteome Res       Date:  2020-08-20       Impact factor: 4.466

Review 6.  Fourier-transform ion cyclotron resonance mass spectrometry for characterizing proteoforms.

Authors:  Trisha Tucholski; Ying Ge
Journal:  Mass Spectrom Rev       Date:  2020-09-07       Impact factor: 10.946

7.  Ultra-fast proteomics with Scanning SWATH.

Authors:  Christoph B Messner; Vadim Demichev; Nic Bloomfield; Jason S L Yu; Matthew White; Marco Kreidl; Anna-Sophia Egger; Anja Freiwald; Gordana Ivosev; Fras Wasim; Aleksej Zelezniak; Linda Jürgens; Norbert Suttorp; Leif Erik Sander; Florian Kurth; Kathryn S Lilley; Michael Mülleder; Stephen Tate; Markus Ralser
Journal:  Nat Biotechnol       Date:  2021-03-25       Impact factor: 54.908

Review 8.  In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.

Authors:  Juan D Chavez; Helisa H Wippel; Xiaoting Tang; Andrew Keller; James E Bruce
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 72.087

Review 9.  [Advances in high-throughput proteomic analysis].

Authors:  Qiong Wu; Xintong Sui; Ruijun Tian
Journal:  Se Pu       Date:  2021-02

10.  SMG5-SMG7 authorize nonsense-mediated mRNA decay by enabling SMG6 endonucleolytic activity.

Authors:  Volker Boehm; Sabrina Kueckelmann; Jennifer V Gerbracht; Sebastian Kallabis; Thiago Britto-Borges; Janine Altmüller; Marcus Krüger; Christoph Dieterich; Niels H Gehring
Journal:  Nat Commun       Date:  2021-06-25       Impact factor: 14.919

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