Differential Chloroplast Proteomics of Temperature Adaptation in Apple (Malus x domestica Borkh.) Microshoots

Temperature stress is one of the most common external factors that plants have to adapt to. Accordingly, plants have developed several adaptation mechanisms to deal with temperature stress. Chloroplasts are one of the organelles that are responsible for the sensing of the temperature signal and triggering a response. Here, chloroplasts are purified from low temperature (4° C), control (22° C) and high temperature (30° C) grown Malus x domestica microshoots. The purity of the chloroplast fractions is evaluated by marker proteins, as well as by using in silico subcellular localization predictions. The proteins are digested using filter‐aided sample processing and analyzed using nano‐LC MS/MS. 733 proteins are observed corresponding to published Malus x domestica gene models and 16 chloroplast genome ‐encoded proteins in the chloroplast preparates. In ANOVA, 56 proteins are found to be significantly differentially abundant (p < 0.01) between chloroplasts isolated from plants grown in different conditions. The differentially abundant proteins are involved in protein digestion, cytoskeleton structure, cellular redox state and photosynthesis, or have protective functions. Additionally, a putative chloroplastic aquaporin is observed. Data are available via ProteomeXchange with identifier PXD014212.     

Growth condition‐dependent cell surface proteome analysis of Enterococcus faecium

The last 30 years Enterococcus faecium has become an important nosocomial pathogen in hospitals worldwide. The aim of this study was to obtain insight in the cell surface proteome of E. faecium when grown in laboratory and clinically relevant conditions. Enterococcus faecium E1162, a clinical blood stream isolate, was grown until mid‐log phase in brain heart infusion medium (BHI) with, or without 0.02% bile salts, Tryptic Soy Broth with 1% glucose (TSBg) and urine, and its cell surface was “shaved” using immobilized trypsin. Peptides were identified using MS/MS. Mapping against the translated E1162 whole genome sequence identified 67 proteins that were differentially detected in different conditions. In urine, 14 proteins were significantly more and nine proteins less abundant relative to the other conditions. Growth in BHI‐bile and TSBg, revealed four and six proteins, respectively, which were uniquely present in these conditions while two proteins were uniquely present in both conditions. Thus, proteolytic shaving of E. faecium cells identified differentially surface exposed proteins in different growth conditions. These proteins are of special interest as they provide more insight in the adaptive mechanisms and may serve as targets for the development of novel therapeutics against this multi‐resistant emerging pathogen. All MS data have been deposited in the ProteomeXchange with identifier PXD002497 ( http://proteomecentral.proteomexchange.org/dataset/PXD002497 ).     

Protein 2DE reference map of the anterior midgut of the blood‐sucking bug Rhodnius prolixus

Rhodnius prolixus is an important vector of Trypanosoma cruzi, the causative agent of Chagas’ disease, an illness that affects 20% of Latin America population. The obligatory course of the parasite in the vector digestive tract has made it an important target for investigation in order to control the parasite transmission and thus interrupt its biological cycle in the insect vector. Therefore, an insight into the vector midgut physiology is valuable for insect control as well as to provide potential novel targets for drugs and vaccines development and thus disease treatment. In this study, the first 2DE map of R. prolixus anterior midgut is described. Proteins were separated by 2DE and analyzed by nano‐LC MS/MS. The results yielded 489 proteins from 475 spots. These proteins were classified into 28 functional groups and their physiological roles in the insect midgut are discussed. All MS data have been deposited in the ProteomeXchange with identifiers PXD001488 and PXD001489 ( http://proteomecentral.proteomexchange.org/dataset/PXD001488 , http://proteomecentral.proteomexchange.org/dataset/PXD001489 ).     

Proteomic analysis of the thermophilic methylotroph Bacillus methanolicus MGA3

Bacillus methanolicus MGA3 is a facultative methylotroph of industrial relevance that is able to grow on methanol as its sole source of carbon and energy. The Gram‐positive bacterium possesses a soluble NAD⁺‐dependent methanol dehydrogenase and assimilates formaldehyde via the ribulose monophosphate (RuMP) cycle. We used label‐free quantitative proteomics to generate reference proteome data for this bacterium and compared the proteome of B. methanolicus MGA3 on two different carbon sources (methanol and mannitol) as well as two different growth temperatures (50°C and 37°C). From a total of approximately 1200 different detected proteins, approximately 1000 of these were used for quantification. While the levels of 213 proteins were significantly different at the two growth temperatures tested, the levels of 109 proteins changed significantly when cells were grown on different carbon sources. The carbon source strongly affected the synthesis of enzymes related to carbon metabolism, and in particular, both dissimilatory and assimilatory RuMP cycle enzyme levels were elevated during growth on methanol compared to mannitol. Our data also indicate that B. methanolicus has a functional tricarboxylic acid cycle, the proteins of which are differentially regulated on mannitol and methanol. Other proteins presumed to be involved in growth on methanol were constitutively expressed under the different growth conditions. All MS data have been deposited in the ProteomeXchange with the identifiers PXD000637 and PXD000638 ( http://proteomecentral.proteomexchange.org/dataset/PXD000637 , http://proteomecentral.proteomexchange.org/dataset/PXD000638 ).     

Proteomics analysis of adult testis from Bombyx mori

The development of the testis involves a large number of tissue‐specific proteins, possibly because the sperms in it are the most divergent of all cell types. In this study, LC‐MS/MS was employed to investigate the protein compositions of the adult testis of silkworm. A total of 14 431 peptides were identified in the adult testis of Bombyx mori, which were matched to 2292 proteins. Thirty‐two HSPs constitute a group of most abundant proteins in the adult testis, suggesting that they are critical for the development, differentiation, and survival of germ cells. Other proteins in this analysis were also involved in testis‐specific processes mainly including sperm motility, meiosis, germ cell development, and spermatogenesis. The data have been deposited to the ProteomeXchange with identifier PXD000909 ( http://proteomecentral.proteomexchange.org/dataset/PXD000909 ).     

The advantage of laser‐capture microdissection over whole tissue analysis in proteomic profiling studies

Laser‐capture microdissection (LCM) offers a reliable cell population enrichment tool and has been successfully coupled to MS analysis. Despite this, most proteomic studies employ whole tissue lysate (WTL) analysis in the discovery of disease biomarkers and in profiling analyses. Furthermore, the influence of tissue heterogeneity in WTL analysis, nor its impact in biomarker discovery studies have been completely elucidated. In order to address this, we compared previously obtained high resolution MS data from a cohort of 38 breast cancer tissues, of which both LCM enriched tumor epithelial cells and WTL samples were analyzed. Label‐free quantification (LFQ) analysis through MaxQuant software showed a significantly higher number of identified and quantified proteins in LCM enriched samples (3404) compared to WTLs (2837). Furthermore, WTL samples displayed a higher amount of missing data compared to LCM both at peptide and protein levels (p‐value < 0.001). 2D analysis on co‐expressed proteins revealed discrepant expression of immune system and lipid metabolisms related proteins between LCM and WTL samples. We hereby show that LCM better dissected the biology of breast tumor epithelial cells, possibly due to lower interference from surrounding tissues and highly abundant proteins. All data have been deposited in the ProteomeXchange with the dataset identifier PXD002381 ( http://proteomecentral.proteomexchange.org/dataset/PXD002381 ).     

An iTRAQ characterisation of the role of TolC during electron transfer from Shewanella oneidensis MR‐1

Anodophilic bacteria have the ability to generate electricity in microbial fuel cells (MFCs) by extracellular electron transfer to the anode. We investigated the anode‐specific responses of Shewanella oneidensis MR‐1, an exoelectroactive Gammaproteobacterium, using for the first time iTRAQ and 2D‐LC MS/MS driven membrane proteomics to compare protein abundances in S. oneidensis when generating power in MFCs, and growing in a continuous culture. The regulated dataset produced was enriched in membrane proteins. Proteins shown to be more abundant in anaerobic electroactive anodic cells included efflux pump TolC and an uncharacterised tetratricopeptide repeat (TPR) protein, whilst the TonB2 system and associated uncharacterised proteins such as TtpC2 and DUF3450 were more abundant in microaerobic planktonic cells. In order to validate the iTRAQ data, the functional role for TolC was examined using a δTolC knockout mutant of S. oneidensis. Possible roles for the uncharacterised proteins were identified using comparative bioinformatics. We demonstrate that employing an insoluble extracellular electron acceptor requires multiple proteins involved in cell surface properties. All MS and processed data are available via ProteomeXchange with identifier PXD004090.     

Proteomic identification of Listeria monocytogenes surface‐associated proteins

This study aimed to identify proteins exposed on the surface of Listeria monocytogenes cells for diagnostic reagent development. Brief trypsin treatment of L. monocytogenes cells followed by peptide separation and identification by nano‐LC and online‐MS/MS was performed. In parallel, as a negative control, proteins secreted into the digest buffer as well as proteins from cell lysis were identified. One hundred and seventy‐four proteins were identified in at least two of three trials in either the negative control or during cell digest. Nineteen surface, 21 extracellularly secreted, 132 cytoplasmic, and two phage proteins were identified. Immunofluorescence microscopy of L. monocytogenes cells revealed the surface localization of two potential candidates for L. monocytogenes isolation and detection: lipoprotein LMOf2365_0546 and PBPD1 (LMOf2365_2742). In this report, we present the first data set of surface‐exposed L. monocytogenes proteins currently available. The data have been deposited to the ProteomeXchange Consortium with identifier PXD000035.     

Identification of Neospora caninum proteins regulated during the differentiation process from tachyzoite to bradyzoite stage by DIGE

Identification of differentially expressed proteins during Neospora caninum tachyzoite–bradyzoite conversion processes may lead to a better knowledge of the pathogenic mechanisms developed by this important parasite of cattle. In the present work, a differential expression proteomic study of tachyzoite and bradyzoite stages was accomplished for the first time by applying DIGE technology coupled with MS analysis. Up to 72 differentially expressed spots were visualized (1.5‐fold in relative abundance, p<0.05, t‐test). A total of 53 spots were more abundant in bradyzoites and 19 spots in tachyzoites. MS analysis identified 26 proteins; 20 of them overexpressed in the bradyzoite stage and 6 in the tachyzoite stage. Among the novel proteins, enolase and glyceraldehyde‐3‐phosphate dehydrogenase (involved in glycolysis), HSP70 and HSP90 (related to stress response) as well as the dense granule protein GRA9, which showed higher abundance in the bradyzoite stage, might be highlighted. On the other hand, isocitrate dehydrogenase 2, involved in the Krebs cycle, was found to be more abundant in tachyzoites extract. Biological functions from most novel proteins were correlated with previously reported processes during the differentiation process in Toxoplasma gondii. Thus, DIGE technology arises as a suitable tool to study mechanisms involved in the N. caninum tachyzoite to bradyzoite conversion.     

Proteomic analysis of N‐glycosylation of human seminal plasma

Seminal plasma is a mixture of secretions from several male accessory glands. The seminal plasma contains many secreted proteins which are important for sperm function and male fertility. In this study, we employed N‐linked glycosylated peptide enrichment, combined with LC–MS/MS analysis, and establish the first large scale N‐linked glycoproteome of human seminal plasma. Combined with the results of five biological replicates, a total of 720 N‐glycosylated sites on 372 proteins were identified. Analysis of variations among five individuals revealed similar compositions of N‐glycosylated proteins in seminal plasma. The N‐linked glycoproteome could help us understanding the biological functions of human seminal plasma. The data set could also be a resource for further screening of biomarkers for male diseases including cancer and infertility at the level of N‐glycosylation. For example, N‐glycosylated prostate‐specific antigen is known to be an efficient biomarker that can distinguish benign prostate hyperplasia from prostate cancer. All MS data have been deposited in the ProteomeXchange with identifier PXD000959 ( http://proteomecentral.proteomexchange.org/dataset/PXD000959 ).     

Proteome and carbon flux analysis of Pseudomonas aeruginosa clinical isolates from different infection sites

Pseudomonas aeruginosa is known as opportunistic pathogen frequently isolated from different infection sites. To investigate the expression rates of P. aeruginosa proteins commonly expressed by different clinical isolates, absolute protein quantities were determined employing a gel‐free and data‐independent LC‐IMS^E approach. Moreover, the metabolic diversity of these isolates was investigated by ¹³C‐metabolic flux analyses. 812 proteins were reproducibly identified and absolutely quantified for the reference strain P. aeruginosa PAO1, 363 of which were also identified and relatively quantified in all isolates. Whilst the majority of these proteins were expressed in constant amounts, expression rates of 42 proteins were highly variable between the isolates. Notably, the outer membrane protein OprH and the response regulator PhoP were strongly expressed in burned wounds isolates compared to lung/urinary tract isolates. Moreover, proteins involved in iron/amino acids uptake were found to be highly abundant in urinary tract isolates. The fluxome data revealed a conserved glycolysis, and a niche‐specific divergence in fluxes through the glyoxylate shunt and the TCA cycle among the isolates. The integrated proteome/fluxome analysis did not indicate straightforward correlation between the protein amount and flux, but rather points to additional layers of regulation that mediate metabolic adaption of P. aeruginosa to different host environments. All MS data have been deposited in the ProteomeXchange with identifier PXD002373 ( http://proteomecentral.proteomexchange.org/dataset/PXD002373 ).     

A peptide resource for the analysis of Staphylococcus aureus in host–pathogen interaction studies

Staphylococcus aureus is an opportunistic human pathogen, which can cause life‐threatening disease. Proteome analyses of the bacterium can provide new insights into its pathophysiology and important facets of metabolic adaptation and, thus, aid the recognition of targets for intervention. However, the value of such proteome studies increases with their comprehensiveness. We present an MS–driven, proteome‐wide characterization of the strain S. aureus HG001. Combining 144 high precision proteomic data sets, we identified 19 109 peptides from 2088 distinct S. aureus HG001 proteins, which account for 72% of the predicted ORFs. Peptides were further characterized concerning pI, GRAVY, and detectability scores in order to understand the low peptide coverage of 8.7% (19 109 out of 220 245 theoretical peptides). The high quality peptide‐centric spectra have been organized into a comprehensive peptide fragmentation library (SpectraST) and used for identification of S. aureus‐typic peptides in highly complex host–pathogen interaction experiments, which significantly improved the number of identified S. aureus proteins compared to a MASCOT search. This effort now allows the elucidation of crucial pathophysiological questions in S. aureus‐specific host–pathogen interaction studies through comprehensive proteome analysis. The S. aureus‐specific spectra resource developed here also represents an important spectral repository for SRM or for data‐independent acquisition MS approaches. All MS data have been deposited in the ProteomeXchange with identifier PXD000702 ( http://proteomecentral.proteomexchange.org/dataset/PXD000702 ).     

Distinct serum proteome profiles associated with collagen‐induced arthritis and complete Freund's adjuvant‐induced inflammation in CD38−/− mice: The discriminative power of protein species or proteoforms

Collagen‐type‐II‐induced arthritis (CIA) is an autoimmune disease, which involves a complex host systemic response including inflammatory and autoimmune reactions. CIA is milder in CD38^?/? than in wild‐type (WT) mice. ProteoMiner‐equalized serum samples were subjected to 2D‐DiGE and MS‐MALDI‐TOF/TOF analyses to identify proteins that changed in their relative abundances in CD38^?/? versus WT mice either with arthritis (CIA⁺), with no arthritis (CIA^?), or with inflammation (complete Freund's adjuvant (CFA)‐treated mice). Multivariate analyses revealed that a multiprotein signature (n = 28) was able to discriminate CIA⁺ from CIA^? mice, and WT from CD38^?/? mice within each condition. Likewise, a distinct multiprotein signature (n = 16) was identified which differentiated CIA⁺ CD38^?/? mice from CIA⁺ WT mice, and lastly, a third multiprotein signature (n = 18) indicated that CD38^?/? and WT mice could be segregated in response to CFA treatment. Further analyses showed that the discriminative power to distinguish these groups was reached at protein species level and not at the protein level. Hence, the need to identify and quantify proteins at protein species level to better correlate proteome changes with disease processes. It is crucial for plasma proteomics at the low‐abundance protein species level to apply the ProteoMiner enrichment. All MS data have been deposited in the ProteomeXchange with identifiers PXD001788, PXD001799 and PXD002071 ( http://proteomecentral.proteomexchange.org/dataset/PXD001788 , http://proteomecentral.proteomexchange.org/dataset/PXD001799 and http://proteomecentral.proteomexchange.org/dataset/PXD002071 ).     

Proteomic investigation of the secretome of Cellvibrio japonicus during growth on chitin

Studies of the secretomes of microbes grown on insoluble substrates are important for the discovery of novel proteins involved in biomass conversion. However, data in literature and this study indicate that secretome samples tend to be contaminated with cytoplasmic proteins. We have examined the secretome of the Gram‐negative soil bacterium Cellvibrio japonicus using a simple plate‐based culturing technique that yields samples with high fractions (60–75%) of proteins that are predicted to be secreted. By combining this approach with label‐free quantification using the MaxLFQ algorithm, we have mapped and quantified proteins secreted by C. japonicus during growth on α‐ and β‐chitin. Hierarchical clustering of the detected protein quantities revealed groups of up‐regulated proteins that include all five putative C. japonicus chitinases as well as a chitin‐specific lytic polysaccharide monooxygenase (CjLPMO10A). A small set of secreted proteins were co‐regulated with known chitin‐specific enzymes, including several with unknown catalytic functions. These proteins provide interesting targets for further studies aimed at unraveling the enzymatic machineries used by C. japonicus for recalcitrant polysaccharide degradation. Studies of chitin degradation indicated that C. japonicus indeed produces an efficient chitinolytic enzyme cocktail. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD002843 ( http://proteomecentral.proteomexchange.org/dataset/PXD002843 ).     

Spectral Libraries for SWATH‐MS Assays for Drosophila melanogaster and Solanum lycopersicum

Quantitative proteomics methods have emerged as powerful tools for measuring protein expression changes at the proteome level. Using MS‐based approaches, it is now possible to routinely quantify thousands of proteins. However, prefractionation of the samples at the protein or peptide level is usually necessary to go deep into the proteome, increasing both MS analysis time and technical variability. Recently, a new MS acquisition method named SWATH is introduced with the potential to provide good coverage of the proteome as well as a good measurement precision without prior sample fractionation. In contrast to shotgun‐based MS however, a library containing experimental acquired spectra is necessary for the bioinformatics analysis of SWATH data. In this study, spectral libraries for two widely used models are built to study crop ripening or animal embryogenesis, Solanum lycopersicum (tomato) and Drosophila melanogaster, respectively. The spectral libraries comprise fragments for 5197 and 6040 proteins for S. lycopersicum and D. melanogaster, respectively, and allow reproducible quantification for thousands of peptides per MS analysis. The spectral libraries and all MS data are available in the MassIVE repository with the dataset identifiers MSV000081074 and MSV000081075 and the PRIDE repository with the dataset identifiers PXD006493 and PXD006495.     

Proteomic analysis of extracellular vesicles derived from Mycobacterium tuberculosis

The release of extracellular vesicles, also known as outer membrane vesicles, membrane vesicles, exosomes, and microvesicles, is an evolutionarily conserved phenomenon from bacteria to eukaryotes. It has been reported that Mycobacterium tuberculosis releases extracellular vesicles harboring immunologically active molecules, and these extracellular vesicles have been suggested to be applicable in vaccine development and biomarker discovery. However, the comprehensive proteomic analysis has not been performed for M. tuberculosis extracellular vesicles. In this study, we identified a total of 287 vesicular proteins by four LC‐MS/MS analyses with high confidence. In addition, we identified several vesicular proteins associated with the virulence of M. tuberculosis. This comprehensive proteome profile will help elucidate the pathogenic mechanism of M. tuberculosis. The data have been deposited to the ProteomeXchange with identifier PXD001160 ( http://proteomecentral.proteomexchange.org/dataset/PXD001160 ).     

Proteomic identification of rainbow trout blood plasma proteins and their relationship to seminal plasma proteins

The characterisation of fish blood proteomes is important for comparative studies of seminal and blood proteins as well as for the analysis of fish immune mechanisms and pathways. In this study, LC‐MS/MS and 2D‐DIGE were applied to compare rainbow trout seminal (SP) and blood plasma (BP) proteomes. The 54 differentially abundant proteins identified in SP are involved in a variety of signalling pathways, including protein ubiquitination, liver X receptor/retinoid X receptor (LXR/RXR) and farnesoid X receptor activation, cell cycle and acute phase signalling. These findings may indicate the prevalence of acute phase signalling pathways in trout SP, and its essential role in protecting spermatozoa and reproductive tissues. Our study provides the first in‐depth analysis of the trout BP proteome, with a total of 119 proteins identified. The major proteins of rainbow trout BP were recognised as acute phase proteins. Analysis of BP proteins indicated that acute phase response signalling, the complement system, liver X receptor/retinoid X receptor and farnesoid X receptor activation and the coagulation system are the top canonical pathways. This study enhances knowledge of the blood origin of trout SP proteins and understanding of fish reproductive biology. Our results provide new insight into blood proteins specifically important for fish physiology and innate immunity. The mass spectrometry data are available via ProteomeXchange with the identifier PXD005988 and https://doi.org/10.6019/PXD005988 .