Human sperm motility is essential for fertilization and among pathologies underlying male infertility is asthenozoospermia. Nevertheless, mechanisms regulating sperm motility are not completely unraveled. This work investigates phosphoproteins underlying human sperm motility by using differential phosphoproteomic in two human sperm subpopulations: high (HM) and low (LM) motility, obtained by centrifugation in a density gradient. Phosphoproteomics (HPLC-MS/MS triple TOF), comparing human LM and HM phosphoproteomes, identified 210 phosphopeptides with different abundance that correspond with 119 sperm proteins. Analysis showed that 40% of phosphoproteins in LM spermatozoa are involved in metabolism, (catabolism, protein transport, lipid biosynthesis), 25% in spermatogenesis and sperm function, 8% in immune system and 6% in DNA repair. In HM spermatozoa, 48% of phosphoproteins are related to spermatogenesis and sperm function (motility), whereas 8% are associated to metabolism. GSK3α resulted one of the most abundant phosphoproteins in HM spermatozoa. Western blot confirmed that GSK3α phosphorylation is higher in HM spermatozoa. Summarizing, this study i) identified phosphoproteins in two human spermatozoa populations, ii) supports that human spermatozoa rely in protein phosphorylation, such as GSK3 α, to regulate sperm motility, iv) raises the challenge of using some identified human sperm phosphorylated proteins (GSK3α) as targets to develop into clinically relevant biomarkers. Significance Human sperm phosphoproteome analyzed by nano HPLC-MS/MS triple TOF identifies the differential abundance of sperm phosphoproteins in two human sperm populations exhibiting high motility (HM) and/or low motility (LM) that were isolated from normozoospermic healthy donors. Majority of human phosphoproteins found in LM spermatozoa are involved in sperm metabolism (40%), whereas those in HM spermatozoa are associated to spermatogenesis and sperm function, as motility (48%), and only 8% are associated to metabolism. One of the most abundant phosphoproteins found in HM spermatozoa is GSK3α, kinase directly involved in the regulation of sperm motility that was also validated by western blot. The biological relevance of this study is based in the fact that supports that mature human sperm cells rely in protein phosphorylation to efficiently regulate sperm motility and allows identifying those regulatory human sperm phosphoproteins. This work will clearly impacts the human reproductive field as it raises the challenge of consider identified human sperm phosphoproteins, such as GSK3α, as potential biological targets to develop into relevant biomarkers for the human clinic or assisted reproductive technology.

A combined OMICS screening approach of human plasma and serum was used to characterize protein and metabolome signatures displaying association to severity of Community-acquired pneumonia (CAP). 240 serum and BD P100 EDTA plasma samples from patients diagnosed with CAP, collected during the day of enrolment to the hospital, were analyzed by a metabolomic and proteomic approach, respectively. Disease severity of CAP patients was stratified using the Sequential Organ Failure Assessment (SOFA) score. Quantitative proteome and metabolome data, derived by LC-MS/MS, were associated to SOFA and specific parameters of SOFA using linear regression models adjusted for age, BMI, sex, smoking and technical variables. Both proteome and metabolome profiling revealed remarkable strong changes in plasma and serum composition in relation to severity of CAP. Proteins and metabolites displaying SOFA associated levels are involved in immune response, particularly in processes of lipid metabolism. Proteins, which show an association to SOFA score, are involved in acute phase response, coagulation, complement activation and inflammation. Many of these metabolites and proteins displayed not only associations to SOFA, but also to parameters of SOFA score, which likely reflect the strong influence of lung-, liver-, kidney- and heart-dysfunction on the metabolome and proteome patterns. Significance Community-acquired pneumonia is the most frequent infection disease with high morbidity and mortality. So far, only few studies focused on the identification of proteins or metabolites associated to severity of CAP, often based on smaller sample sets. A screening for new diagnostic markers requires extensive sample collections in combination with high quality clinical data. To characterize the proteomic and metabolomics pattern associated to severity of CAP we performed a combined metabolomics and proteomic approach of serum and plasma sample from a multi-center clinical study focused on patients with CAP, requiring hospitalization. The results of this association study of omics data to the SOFA score enable not only an interpretation of changes in molecular patterns with severity of CAP but also an assignment of altered molecules to dysfunctions of respiratory, renal, coagulation, cardiovascular systems as well as liver.

Aspirin eugenol eater (AEE), a new drug compound, was synthesized through the combination of aspirin and eugenol. Antithrombotic effects of AEE have been confirmed in carrageenan-induced rat tail thrombosis model. However, its mechanism is unclear. With the application of integrated approach combining proteomics and metabolomics, the profilings of protein and metabolite in plasma were examined in thrombosis rat pretreated with AEE, aspirin and eugenol, respectively. A clear separation of the plasma metabolic profiles from different groups was found in score plots. 15 metabolites related with the metabolism of fatty acid, energy and amino acid were found. A total of 144, 38, 41 and 54 differentially abundant proteins (DAPs) were identified in control, AEE, aspirin and eugenol group, respectively. Proteomic results showed that aspirin modulated 7 proteins in amino acid metabolism and 4 proteins in complement system; eugenol regulated the 8 proteins related with coagulation cascades and fibrinogen; AEE improved 3 proteins in TCA cycle and 3 in lipid metabolism. Integrated analysis suggested that AEE improved fatty acid, energy and lipid metabolism to against thrombosis. Results of this study indicated AEE had different action mechanism on thrombosis from aspirin and eugenol, and contribute to understanding the mechanisms of AEE on thrombosis. Significance Thrombosis is a threat to human health, and there is an urgent need for new drug. In this study, compared with the model group, plasma metabolic profiles in AEE-treated rats were clearly separated; 15 metabolites and 38 proteins were picked out. These metabolites and proteins may assist in understanding the action mechanism of AEE on thrombosis. The results of plasma metabonomics and proteomics also revealed the different action mechanism among AEE, aspirin and eugenol on thrombosis. This study established the foundation to further evaluate the druggability of AEE on thrombosis treatment.

The aim of the present study was to evaluate the differences in salivary proteome at rest and in response to an acute exercise in men and women. For this, unstimulated whole saliva samples in rest and after a bout resistance exercise leading to failure (ELF) of both men and women (n = 5 for each sex) were subjected to isobaric Tandem Mass Tags (TMT) labelling followed by LC-MS/MS. A total of 274 proteins were identified and met the inclusion criteria. 16 proteins were modulated for the interaction sex*exercise, 6 were modulated because of the exercise, and 65 were differentially expressed between men and women at rest. In conclusion, these results indicate sex-related differences in the salivary proteome at rest and after an acute exercise, pointing out possible candidate biomarkers for sports performance and allowing further knowledge of the physiological processes occurring during ELF. Significance The present study describes for the first time the changes that occur in salivary proteome detected by TMT-based proteomics in response to an acute exercise and the differences in these changes depending on sex. Of the 274 protein identified, the 87 differentially expressed proteins and their related pathways were discussed, focusing on the sex- and exercise-related differences in the salivary proteome.

Changes in the oxidation state of protein Cys residues are involved in cell signalling and play a key role in a variety of pathophysiological states. We had previously developed GELSILOX, an in-gel method that enables the large-scale, parallel analysis of dynamic alterations to the redox state of Cys sites and protein abundance changes. Here we present FASILOX, a further development of the GELSILOX approach featuring: i) significantly increased peptide recovery, ii) enhanced sensitivity for the detection of Cys oxidative alterations, and iii) streamlined workflow that results in shortened assay duration. In mitochondria isolated from the adipose tissue of obese, diabetic patients, FASILOX revealed a sexually dimorphic trait of Cys oxidation involving mainly mitochondrial oxidative phosphorylation complexes. These results provide the first evidence for a decreased efficiency in the antioxidant response of men as compared to women.

Unveiling the relationship between phylogeny and function of the microbiome is crucial to determine its contribution to ecosystem functioning. However, while there is a considerable amount of information on microbial phylogenetic diversity, our understanding of its relationship to functional diversity is still scarce. Here we predicted the total microbiome functions of bacteria and fungi on Earth using the total known functions from level 3 of KEGG Orthology by modelling the increase of functions with increasing diversity of bacteria or fungi. For bacteria and fungi, the unsaturated model described the data significantly better (for both P < 2.2e-16), suggesting the presence of two types of functions. Widespread functions ubiquitous in every living organism that make up two thirds of our current knowledge of microbiome functions are separated from rare functions from specialised enzymes present in only a few species. Given previous estimates on species richness, we predicted a global total of 35.5 million functions in bacteria and 3.2 million in fungi; of which only 0.02% and 0.14% are known today. Our approach highlights the necessity of novel and more sophisticated methods to unveil the entirety of rare functions to fully understand the involvement of the microbiome in ecosystem functioning. Significance The functionality of and within a microbial community is generally inferred based on the taxonomic annotation of the organism. However, our understanding of functional diversity and how it relates to taxonomy is still limited. Here we predict the total microbiome functionality in bacteria and fungi on Earth using known and annotated protein-coding sequences in species accumulation curves. Our estimates reveal that the majority of functionality (>99%) could be assigned to yet unknown and rare functions, highlighting that our current knowledge is incomplete and functional inference is thus lackluster.

In this study, we evaluated the potential use of MALDI-TOF MS Profiling for the differentiation of biological samples submitted to different treatments. We compared the bacterium Xanthomonas campestris pv. campestris (Xcc), grown in culture medium and in vivo (recovered from the plant). Plant samples were also analyzed and included explants at different somatic embryogenesis (SE) stages, as well as leaves from Brassica oleracea and Arabidopsis thaliana inoculated with Xcc, at different time points. The results showed that bacteria and highly divergent plant samples, such as those from embryogenic stages, can be unequivocally differentiated and the clustering was in accordance with proteomic analysis performed by 2-DE. These results show an important application of MALDI-TOF MS Profiling to select and prioritize samples to be analyzed prior to more complex approaches including transcriptomics and proteomics. We also show that in plant-pathogen interactions, when more subtle differences are obtained, the main contribution of MALDI-TOF MS Profiling is in the assessment of experimental variability. This is relevant since reproducibility is a challenging issue when dealing with complex experimental conditions such as plant-pathogen interactions. We propose the use of MALDI-TOF MS Profiling to aid researchers in minimizing experimental variability unrelated to the condition being analyzed. Significance MALDI-Profiling offers an inexpensive, rapid and reliable approach for investigating the protein profile to assess sample differentiation and experimental variability in microorganisms and plants and can be highly useful to analyze samples prior to more complex and expensive techniques such as proteomics and transcriptomics.

Currently, analyzing intact glycopeptides remains a challengeable task. Considerable progress has been achieved in the knowledge of immunoglobulin G (IgG) glycans in patients with colorectal cancer (CRC), whereas data on IgG Fc N-glycopeptides are scarce in the literature. To fill this gap in knowledge, we developed a rapid and effective method to obtain and analyze IgG Fc N-glycopeptides in the plasma from 46 CRC patients and 67 healthy individuals using [email protected] (glycidyl methacrylate) @iminodiacetic acid ([email protected]@IDA) nanomaterial in combination with matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS). A total of 29 N-glycopeptides were detected and analyzed. Compared with healthy individuals, CRC patients had increased levels of N-acteylglucosamine, yet decreased levels of galactosylation, fucosylation and sialylation. Further, a multivariate logistic regression model was developed using the levels of IgG Fc N-glycopeptides to distinguish CRC patients from healthy individuals, and the prediction performance was good, with an average AUC of the ROC curves of 0.893. Significance In this study, we proposed a strategy for obtaining and analyzing IgG glycopeptides using [email protected]@IDA nanomaterial in combination with MALDI-TOF-MS. Using this strategy, IgG Fc N-glycopeptides were analyzed in the plasma of CRC patients, and our findings indicated that glycosylation levels in the IgG Fc region were closely related to CRC. By using the IgG N-glycopeptide enrichment method and screening model designed in this study, early large-scale colorectal cancer screening can be implemented easily and fast.

UniprotR is a software package designed to easily retrieve, cluster and visualize protein data from UniProt knowledgebase (UniProtKB) using R language. The package is implemented mainly to process, parse and illustrate proteomics data in a handy and time-saving approach allowing researchers to summarize all required protein information available at UniProtKB in a readable data frame, Excel CSV file, and/or graphical output. UniprotR generates a set of graphics including gene ontology, chromosomal location, protein scoring and status, protein networking, sequence phylogenetic tree, and physicochemical properties. In addition, the package supports clustering of proteins based on primary gene name or chromosomal location, facilitating additional downstream analysis. Significance In this work, we implemented a robust package for retrieving and visualizing information from multiple sources such UniProtKB, SWISS-MODEL, and STRING. UniprotR Contains functions that able to retrieve and cluster data in a handy way and visualize data in publishable graphs to facilitate researcher's work and fulfill their needs. UniprotR will aid in saving time for downstream data analysis instead of manual time consuming data analysis. Availability and implementation UniprotR released as free open source code under the license of GPLv3, and available in CRAN (The Comprehensive R Archive Network) and GitHub. (https://cran.r-project.org/web/packages/UniprotR/index.html). (https://github.com/Proteomicslab57357/UniprotR).

Small proteins (sProteins) with a size of 100 amino acids and less are involved in major biological processes and play an important role in different bacteria. Despite the increasing interest in them, the data on sProteins in bacterial communities, like the human gut microbiome is sparse. In this study, we are using the extended simplified human intestinal microbiota (SIHUMIx) as model system of the human gut microbiome to detect sProteins and to compare different sProtein enrichment methods. We observed that with our tested methods, the C8-cartridge enrichment resulted in the highest number of detected sProteins (n = 295) with high reproducibility among replication analysis. However, in order to further increase the total number of sProteins, the combination of C8 cartridge enrichment with GelFree enrichment is favored because the latter complemented n = 48 more sProteins compared to the C8 cartridge approach resulting in n = 343 sProteins. Among all detected sProteins we were able to identify 79 so far uncharacterized sProteins, with no described protein evidence in the current released database. In total, 34 of those uncharacterized sProteins are localized in gene clusters conserved between different bacteria species allowing functional predictions. This study improves the assessment of sProtein detection and enables their functional characterization in future experiments. Significance Small proteins have great potential and are therefore obtaining high interest. Especially in human microbiota, many undiscovered and uncharacterized small proteins promote the understanding of complex host-microbiome and bacteria-bacteria interactions. However, a major challenge lies in the detection of small proteins using bottom-up proteomics. Our study leads to an improved identification of small proteins in bacterial communities. It further describes properties and potential functions of identified, previously uncharacterized small proteins. Altogether it improves the assessment of sProtein detection and enables their functional characterization in future experiments.

Aim Intraoperative electron Radiotherapy, herein referred to, as IOeRT is a novel approach in breast cancer (BC) treatment. This study designed to investigate short-term molecular effects of 12Gy as Boost versus 21Gy as Radical dose of IOeRT using high throughput approaches. Materials and methods Six BC patients as a pilot study were treated with IOeRT following two separate strategies, including Boost and Radical doses. Approximately 100 mg of tumor bed tissue retrieved from each patient (before IOeRT,immediately, 24 h post-treatment). mRNA sequencing also Isobaric tag for relative and absolute quantitation (iTRAQ) were performed to study the transcriptome and proteome profile of IOeRT-treated tumor bed. Results Using NGS, ~6 Giga base (GB) clean data per individual samples were generated. Moreover, by iTRAQ for proteome quantification, in total, 1,045,410 spectrums were generated, likewise 5860 proteins were identified (FDR <0.01). Conclusion Functional annotation and gene ontology (GO) indicated that significant enrichment in molecular pathways on BC treatment is somehow single high dose-independent. This means that, key molecular pathways in radiotherapy (RT) are equally enriched by both Boost and Radical doses. Generally, by modification of the Radical dose, with the same effectiveness, it is possible to reduce single high dose irradiation in BC.

Glycosylation is a common protein PTM, and its aberrant regulation has been widely linked to various pathological conditions including cancers. Our recent development of intact N-glycopeptide search engine GPSeeker has enabled relatively quantitative structure-specific characterization of differentially expressed intact N-glycopeptides (DEGPs) with isotopic labeling of the peptide backbones and structure-specific fragment ions of the N-glycan moieties. Here we report our site- and structure-specific relatively quantitative N-glycoproteomics study of breast MCF-7 cancer cells (relative to epithelial MCF-10A cells) using RPLC-nanoESI-MS/MS and GPSeeker. With spectrum-level FDR ≤ 1%, 581 intact N-glycopeptides with comprehensive structural information of both the peptide backbones (amino acid sequences, N-glycosites) and the N-glycan moieties (monosaccharide composition, sequence and linkages) were identified from five technical replicates (TR1, TR2, TR3, TR4 and TR5). With the criteria of quantified at least thrice out of the five technical replicates with no <1.5-fold change, p ≤ .05 and RSD ≤ 20%, 56 DEGPs were quantified from 23 N-glycosites on 19 intact N-glycoproteins. For the 19 intact N-glycoproteins observed with differential N-glycosylation expression, 14 (each with one or more DEGPs) were observed with uniform down regulation; 6 (each with one or more DEGPs) were observed with uniform up regulation; whereas one was observed with both up and down regulation. Significance Differential N-glycosylation in breast MCF-7 cancer cells (relative to MCF-10A epithelial cells) were qualitatively and quantitatively characterized with site- and structure-specific N-glycoproteomics using RPLC-nanoESI-MS/MS (HCD with stepped NCEs) and intact N-glycopeptide search engine GPSeeker. With spectrum-level FDR ≤ 1%, 1612 intact N-glycopeptides with comprehensive structural information of both the peptide backbones and the N-glycan moieties were identified; For the 392 putative N-glycosites, 275 were confirmed where 23 have not been annotated in UniProt as of July 25, 2019. For the 216 N-glycan putative linkage structures, 51 were confirmed with no less than one structure-diagnostic fragment ions. With the criteria of quantified at least thrice out of the five technical replicates with no < 1.5-fold change and p ≤ .05, 122 DEGPs were quantified from 29 intact N-glycoproteins; 19 and 8 intact N-glycoproteins (each with one or more DEGPs) were observed with uniform down and up regulation; whereas two were observed with simultaneous up and down regulation.

The diagnostic and therapeutic application of nanoparticles requires comprehensive knowledge of their interaction with the biomolecular surroundings. The formation of the protein corona on nanoparticles that were internalized by living cells is yet to be understood. In this study, we present a robust approach for the electrophoretic and mass spectrometric analysis of the hard protein corona composition formed in living cells on ~30 nm citrate-stabilized gold nanoparticles, i.e., the proteins with the highest affinity towards the gold nanoparticle surface. The gold nanoparticles were internalized by MCF-7 cells for 24 h followed by the extraction of the hard protein corona‑gold nanoparticle bioconjugates from living cell cultures. The extracted proteins were then separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and analyzed by ESI-Q-TOF-MS, which allowed to identify 108 hard corona proteins. The experiments were repeated with J774 macrophage cells with incubation times of 1.5 h, 3 h, 6 h, and 24 h, and the results showed that the hard protein corona remained unchanged over time. Therefore, the proposed experimental approach proved to be a valuable tool for identifying hard corona proteins of nanoparticles internalized by living cells.