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Helicobacter pylori (H. pylori) is a ε-proteobacterium that colonizes the stomach of about half of the world's population. Persistent infections have been associated with several gastric diseases. Mainly rod- or spiral shaped but also coccoid H. pylori forms have been isolated from mucus layer biopsies of patients. It is still being debated whether the coccoid form can be transformed back into the spiral form or whether this morphology is a result of bacterial cell death or persistence. We established stable isotope labeling by amino acids in cell culture (SILAC) for quantitative proteomics of H. pylori and applied it to investigate differences between the spiral and the coccoid morphology. We detected 72% and were able to relatively quantify 47% of the H. pylori proteome. Proteins involved in cell division and transcriptional and translational processes showed a lower abundance in coccoid cells. Additionally, proteins related to host colonization, including CagA, the arginase RocF, and the TNF-α inducing protein were down-regulated. The fact that outer membrane proteins were observed at higher abundances might represent a mechanism for immune evasion but also preserves adherence to host cells. The established protocol for relative protein quantification of H. pylori samples offers new possibilities for research on H. pylori., Biological Significance: Our study shows that SILAC can be employed to study protein abundance changes in H. pylori. We have chosen to establish SILAC for H. pylori because it facilitates fractionation on both, protein and peptide level and thus enables deep proteome coverage. Furthermore, SILAC allows robust and highly accurate protein quantification. The manuscript includes a detailed description of the applied method, suggestions for further improvement as well as a practical application. The investigation of differences between the coccoid and infectious spiral morphology of H. pylori with SILAC revealed the regulation of proteins that are involved in host colonization, motility, cell division as well as transcriptional and translational processes. The data will help molecular biologist to focus on relevant pathways that were found to be regulated in response to morphological changes. Furthermore, the application of SILAC offers new possibilities to study the biology of H. pylori. It enables to monitor protein abundance changes in response to certain stimuli such as oxygen stress or antibiotics. Moreover, SILAC raises the possibility to study co-cultures of host cells and H. pylori on protein level. Additionally, pulsed SILAC experiments enable the quantification of protein turnover., (Copyright © 2015. Published by Elsevier B.V.)

Signal transducer and activator of transcription 3 (STAT3) is activated by a variety of cytokines and growth factors. To generate a comprehensive data set of proteins interacting specifically with STAT3, we applied stable isotope labeling with amino acids in cell culture (SILAC). For high-affinity pull-down using streptavidin, we fused STAT3 with a short peptide tag allowing biotinylation in situ (bio-tag), which did not affect STAT3 functions. By this approach, 3642 coprecipitated proteins were detected in human embryonic kidney-293 cells. Filtering using statistical and functional criteria finally extracted 136 proteins as putative interaction partners of STAT3. Both, a physical interaction network analysis and the enrichment of known and predicted interaction partners suggested that our filtering criteria successfully enriched true STAT3 interactors. Our approach identified numerous novel interactors, including ones previously predicted to associate with STAT3. By reciprocal coprecipitation, we were able to verify the physical association between STAT3 and selected interactors, including the novel interaction with TOX4, a member of the TOX high mobility group box family. Applying the same method, we next investigated the activation-dependency of the STAT3 interactome. Again, we identified both known and novel interactions. Thus, our approach allows to study protein-protein interaction effectively and comprehensively., Biological Significance: The location, activity, function, degradation, and synthesis of proteins are significantly regulated by interactions of proteins with other proteins, biopolymers and small molecules. Thus, the comprehensive characterization of interactions of proteins in a given proteome is the next milestone on the path to understanding the biochemistry of the cell. In order to generate a comprehensive interactome dataset of proteins specifically interacting with a selected bait protein, we fused our bait protein STAT3 with a short peptide tag allowing biotinylation in situ (bio-tag). This bio-tag allows an affinity pull-down using streptavidin but affected neither the activation of STAT3 by tyrosine phosphorylation nor its transactivating potential. We combined SILAC for accurate relative protein quantification, subcellular fractionation to increase the coverage of interacting proteins, high-affinity pull-down and a stringent filtering method to successfully analyze the interactome of STAT3. With our approach we confirmed several already known and identified numerous novel STAT3 interactors. The approach applied provides a rapid and effective method, which is broadly applicable for studying protein-protein interactions and their dependency on post-translational modifications., (© 2013. Published by Elsevier B.V. All rights reserved.)

Correct annotation of protein coding genes is the basis of conventional data analysis in proteomic studies. Nevertheless, most protein sequence databases almost exclusively rely on gene finding software and inevitably also miss protein annotations or possess errors. Proteogenomics tries to overcome these issues by matching MS data directly against a genome sequence database. Here we report an in-depth proteogenomics study of Helicobacter pylori strain 26695. MS data was searched against a combined database of the NCBI annotations and a six-frame translation of the genome. Database searches with Mascot and X! Tandem revealed 1115 proteins identified by at least two peptides with a peptide false discovery rate below 1%. This represents 71% of the predicted proteome. So far this is the most extensive proteome study of Helicobacter pylori. Our proteogenomic approach unambiguously identified four previously missed annotations and furthermore allowed us to correct sequences of six annotated proteins. Since secreted proteins are often involved in pathogenic processes we further investigated signal peptidase cleavage sites. By applying a database search that accommodates the identification of semi-specific cleaved peptides, 63 previously unknown signal peptides were detected. The motif LXA showed to be the predominant recognition sequence for signal peptidases., Biological Significance: The results of MS-based proteomic studies highly rely on correct annotation of protein coding genes which is the basis of conventional data analysis. However, the annotation of protein coding sequences in genomic data is usually based on gene finding software. These tools are limited in their prediction accuracy such as the problematic determination of exact gene boundaries. Thus, protein databases own partly erroneous or incomplete sequences. Additionally, some protein sequences might also be missing in the databases. Proteogenomics, a combination of proteomic and genomic data analyses, is well suited to detect previously not annotated proteins and to correct erroneous sequences. For this purpose, the existing database of the investigated species is typically supplemented with a six-frame translation of the genome. Here, we studied the proteome of the major human pathogen Helicobacter pylori that is responsible for many gastric diseases such as duodenal ulcers and gastric cancer. Our in-depth proteomic study highly reliably identified 1115 proteins (FDR<0.01%) by at least two peptides (FDR<1%) which represent 71% of the predicted proteome deposited at NCBI. The proteogenomic data analysis of our data set resulted in the unambiguous identification of four previously missed annotations, the correction of six annotated proteins as well as the detection of 63 previously unknown signal peptides. We have annotated proteins of particular biological interest like the ferrous iron transport protein A, the coiled-coil-rich protein HP0058 and the lipopolysaccharide biosynthesis protein HP0619. For instance, the protein HP0619 could be a drug target for the inhibition of the LPS synthesis pathway. Furthermore it has been proven that the motif "LXA" is the predominant recognition sequence for the signal peptidase I of H. pylori. Signal peptidases are essential enzymes for the viability of bacterial cells and are involved in pathogenesis. Therefore signal peptidases could be novel targets for antibiotics. The inclusion of the corrected and new annotated proteins as well as the information of signal peptide cleavage sites will help in the study of biological pathways involved in pathogenesis or drug response of H. pylori., (Copyright © 2013 Elsevier B.V. All rights reserved.)