Proteome Organization in a Genome-Reduced Bacterium

Science ◽  
2009 ◽  
Vol 326 (5957) ◽  
pp. 1235-1240 ◽  
Author(s):  
Sebastian Kühner ◽  
Vera van Noort ◽  
Matthew J. Betts ◽  
Alejandra Leo-Macias ◽  
Claire Batisse ◽  
...  

The genome of Mycoplasma pneumoniae is among the smallest found in self-replicating organisms. To study the basic principles of bacterial proteome organization, we used tandem affinity purification–mass spectrometry (TAP-MS) in a proteome-wide screen. The analysis revealed 62 homomultimeric and 116 heteromultimeric soluble protein complexes, of which the majority are novel. About a third of the heteromultimeric complexes show higher levels of proteome organization, including assembly into larger, multiprotein complex entities, suggesting sequential steps in biological processes, and extensive sharing of components, implying protein multifunctionality. Incorporation of structural models for 484 proteins, single-particle electron microscopy, and cellular electron tomograms provided supporting structural details for this proteome organization. The data set provides a blueprint of the minimal cellular machinery required for life.

2005 ◽  
Vol 3 (1) ◽  
pp. 1-31 ◽  
Author(s):  
Denise Scholtens ◽  
Robert Gentleman

Accurate systems biology modeling requires a complete catalog of protein complexes and their constituent proteins. We discuss a graph-theoretic/statistical algorithm for local dynamic modeling of protein complexes using data from affinity purification-mass spectrometry experiments. The algorithm readily accommodates multicomplex membership by individual proteins and dynamic complex composition, two biological realities not accounted for in existing topological descriptions of the overall protein network. A likelihood-based objective function guides the protein complex modeling algorithm. With an accurate complex membership catalog in place, systems biology can proceed with greater precision.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mi Ke ◽  
Xiao Yuan ◽  
An He ◽  
Peiyuan Yu ◽  
Wendong Chen ◽  
...  

AbstractSignaling complexes are often organized in a spatiotemporal manner and on a minute timescale. Proximity labeling based on engineered ascorbate peroxidase APEX2 pioneered in situ capture of spatiotemporal membrane protein complexes in living cells, but its application to cytosolic proteins remains limited due to the high labeling background. Here, we develop proximity labeling probes with increased labeling selectivity. These probes, in combination with label-free quantitative proteomics, allow exploring cytosolic protein assemblies such as phosphotyrosine-mediated protein complexes formed in response to minute-scale EGF stimulation. As proof-of-concept, we systematically profile the spatiotemporal interactome of the EGFR signaling component STS1. For STS1 core complexes, our proximity proteomics approach shows comparable performance to affinity purification-mass spectrometry-based temporal interactome profiling, while also capturing additional—especially endosomally-located—protein complexes. In summary, we provide a generic approach for exploring the interactome of mobile cytosolic proteins in living cells at a temporal resolution of minutes.


2014 ◽  
Vol 10 (1) ◽  
pp. 169-187 ◽  
Author(s):  
Jelle Van Leene ◽  
Dominique Eeckhout ◽  
Bernard Cannoot ◽  
Nancy De Winne ◽  
Geert Persiau ◽  
...  

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