These authors contributed equally to this work
An integrated workflow for charting the human interaction proteome: insights into the PP2A system
Article first published online: 20 JAN 2009
Copyright © 2009 EMBO and Nature Publishing Group
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Molecular Systems Biology
Volume 5, Issue 1, 2009
How to Cite
Glatter, T., Wepf, A., Aebersold, R. and Gstaiger, M. (2009), An integrated workflow for charting the human interaction proteome: insights into the PP2A system. Molecular Systems Biology, 5: n/a. doi: 10.1038/msb.2008.75
- Issue published online: 20 JAN 2009
- Article first published online: 20 JAN 2009
- Manuscript Accepted: 4 DEC 2008
- Manuscript Received: 26 JUN 2008
- human interactome;
- mass spectrometry;
- protein complexes
Protein complexes represent major functional units for the execution of biological processes. Systematic affinity purification coupled with mass spectrometry (AP-MS) yielded a wealth of information on the compendium of protein complexes expressed in Saccharomyces cerevisiae. However, global AP-MS analysis of human protein complexes is hampered by the low throughput, sensitivity and data robustness of existing procedures, which limit its application for systems biology research. Here, we address these limitations by a novel integrated method, which we applied and benchmarked for the human protein phosphatase 2A system. We identified a total of 197 protein interactions with high reproducibility, showing the coexistence of distinct classes of phosphatase complexes that are linked to proteins implicated in mitosis, cell signalling, DNA damage control and more. These results show that the presented analytical process will substantially advance throughput and reproducibility in future systematic AP-MS studies on human protein complexes.
The majority of proteins function in the context of larger protein complexes. Affinity purification coupled with mass spectrometry (AP-MS) became the method of choice for systematic and direct experimental analysis of protein complexes under near-physiological conditions. Although a lot of progress has been made on the systematic AP-MS analysis of the yeast compendium of protein complexes (Gavin et al, 2006; Krogan et al, 2006), relatively little advance has been reported on the corresponding organization of the human interaction proteome. Despite recent improvements in mass spectrometry instrumentation, the size of the human proteome and the number of 225 000 estimated protein interactions (Hart et al, 2006) challenge existing experimental AP-MS workflows with respect to throughput, sensitivity and data robustness. In this study, we have developed and evaluated an integrated experimental workflow to facilitate system-wide analysis of human protein complexes. We benchmarked the overall performance of the presented workflow using the human PP2A phosphatase system and show how it can be used to increase data robustness and throughput in future AP-MS studies on the human interaction proteome.
The presented workflow builds on the increasing availability of gateway-compatible orfeome resources and FRT-mediated recombination for high-throughput generation of isogenic bait-expressing cell lines within 2 weeks. Expression in these cell lines can be controlled by a tetracycline-inducible promoter to maintain homogenous expression at close to physiological levels throughout the cell population. We have replaced the widely used classical 21 kDa TAP tag by a novel small double-affinity tag to increase sample processing speed and enhance purification yields up to 40%. Samples purified by this procedure can be analysed readily by a direct liquid chromatography tandem mass spectrometry (LC-MS/MS) approach without the need for further SDS–PAGE fractionation commonly used in previous workflows. Direct LC-MS/MS analysis reduces the number of experimental steps and contributes to the obtained overall reproducibility of the approach, which we benchmarked for the human PP2A phosphatase system.
The evolutionary conserved serine/threonine phosphatase PP2A has been linked to a wide range of cellular processes including transcription, apoptosis, cell growth and cellular transformation (Virshup, 2000; Janssens et al, 2005; Westermarck and Hahn, 2008). The human genome encodes two catalytic subunits (PPP2CA, PPP2CB), two scaffolding subunits (PPP2R1A, PPP2R1B) and at least 15 known regulatory B subunits, which, by combinatorial assembly, can potentially form a multitude of different trimeric PP2A complexes (Janssens and Goris, 2001; Lechward et al, 2001). It is believed that the versatile nature of this combinatorial subunit arrangement provides substrate specificity as well as temporal and spatial control of phosphatase activity. So far no systematic study has yet been performed to characterize the set of PP2A complexes that coexist in human cells and to understand how these complexes are connected to specific cellular processes at the level of protein–protein interactions. We have analysed 11 bait proteins selected from the human protein phosphatase 2A (PP2A) system and identified 197 protein interaction with a reproducibility rate of 85% between two biological replicate experiments (Figure 4A). This is among the highest rates reported so far for systematic AP-MS/MS workflows. For further validation, we compared the data to information from the literature and public databases. About two-thirds of the 197 interactions either have been reported previously in the literature or were related to interactions known between human paralogous or yeast orthologous proteins. On the basis of interaction information alone, it is difficult to infer the presence and composition of protein complexes. However, in the case of human PP2A, significant amount of published structural and biochemical data provide valuable information on the composition of several distinct groups of phosphatase complexes (Lechward et al, 2001; Chao et al, 2006; Leulliot et al, 2006; Xu et al, 2006; Xing et al, 2008). We used this information to assign the 150 paralogous interactions identified in our network to five groups of known phosphatase complexes, here referred to as modules (Figure 6). These include the group of trimeric PP2A complexes described above, which represent the majority of PP2A complexes we found, as well as PP2A complexes containing the proteins IGBP1/TAP42 or the protein phosphatase methylesterase (PPME1) in addition to PPP4C containing phosphatase complexes. We estimate that, overall, more than 30 distinct phosphatase complexes coexist in human embryonic kidney cells. On the basis of their interactions with other cellular proteins, these complexes may have specific functions in transcription, cell signalling, DNA damage control and the regulation of mitosis. The presented results thus confirmed and significantly extended our knowledge on combinatorial complex assembly as a molecular principle for the functional diversification within the human PP2A phosphatase system.
When we compared our interaction data with interaction data available for the corresponding yeast orthologous proteins, we found that the interactions particularly within the modules mentioned above are highly conserved. Furthermore, the comparison suggested that functional diversification within the human phosphatase system primarily involved an expansion of regulatory phosphatase subunits and their protein interactions, as the number of PP2A catalytic subunits are the same between humans and yeast.
Large-scale AP-MS represents the method of choice to retrieve high-quality information on the global organization of the human proteome into protein complexes, which in most cases represent the actual functional units of biochemical systems. A comprehensive representation of the human interaction proteome will require a collective effort by the research community using improved analytical workflows with increased throughput, sensitivity and reliability. We believe that the advances collectively achieved by the integrated workflow presented here mark a significant step forward towards these goals.