The proteomic landscape of genome-wide genetic perturbations
| Autor: | Christoph B. Messner, Vadim Demichev, Julia Muenzner, Simran K. Aulakh, Natalie Barthel, Annika Röhl, Lucía Herrera-Domínguez, Anna-Sophia Egger, Stephan Kamrad, Jing Hou, Guihong Tan, Oliver Lemke, Enrica Calvani, Lukasz Szyrwiel, Michael Mülleder, Kathryn S. Lilley, Charles Boone, Georg Kustatscher, Markus Ralser |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Chemical Biology & High Throughput
quantitative proteomics Human Biology & Physiology functional proteomics FOS: Clinical medicine Immunology knockout Infectious Disease systems biology Cell Biology high throughput Tumour Biology Biochemistry & Proteomics General Biochemistry Genetics and Molecular Biology gene annotation Signalling & Oncogenes Metabolism Ecology Evolution & Ethology data-independent acquisition saccharomyces cerevisiae Synthetic Biology deletion functional genomics Developmental Biology Computational & Systems Biology |
| Zdroj: | Cell Messner, C B, Demichev, V, Muenzner, J, Aulakh, S K, Barthel, N, Röhl, A, Herrera-Domínguez, L, Egger, A, Kamrad, S, Hou, J, Tan, G, Lemke, O, Calvani, E, Szyrwiel, L, Mülleder, M, Lilley, K S, Boone, C, Kustatscher, G & Ralser, M 2023, ' The proteomic landscape of genome-wide genetic perturbations ', Cell, vol. 186, no. 9 . https://doi.org/10.1016/j.cell.2023.03.026 |
| DOI: | 10.1016/j.cell.2023.03.026 |
| Popis: | Functional genomic strategies have become fundamental for annotating gene function and regulatory networks. Here, we combined functional genomics with proteomics by quantifying protein abundances in a genome-scale knockout library in Saccharomyces cerevisiae, using data-independent acquisition mass spectrometry. We find that global protein expression is driven by a complex interplay of (1) general biological properties, including translation rate, protein turnover, the formation of protein complexes, growth rate, and genome architecture, followed by (2) functional properties, such as the connectivity of a protein in genetic, metabolic, and physical interaction networks. Moreover, we show that functional proteomics complements current gene annotation strategies through the assessment of proteome profile similarity, protein covariation, and reverse proteome profiling. Thus, our study reveals principles that govern protein expression and provides a genome-spanning resource for functional annotation. |
| Databáze: | OpenAIRE |
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