Quantitative Proteomics of Extracellular Vesicles Released from Human Monocyte-Derived Macrophages upon β‑Glucan Stimulation

Fungal infections (mycoses) are common diseases of varying severity that cause problems, especially to immunologically compromised people. Fungi express a variety of pathogen-associated molecular patterns on their surface including β-glucans, which are important immunostimulatory components of fungal cell walls. During stimulatory conditions of infection and colonization, besides intensive intracellular response, human cells actively communicate on the intercellular level by secreting proteins and other biomolecules with several mechanisms. Vesicular secretion remains one of the most important paths for the proteins to exit the cell. Here, we have used high-throughput quantitative proteomics combined with bioinformatics to characterize and quantify vesicle-mediated protein release from β-glucan-stimulated human macrophages differentiated in vitro from primary blood monocytes. We show that β-glucan stimulation induces vesicle-mediated protein secretion. Proteomic study identified 540 distinct proteins from the vesicles, and the identified proteins show a proteomic signature characteristic for their cellular origin. Importantly, we identified several receptors, including cation-dependent mannose-6-phosphate receptor, macrophage scavenger receptor, and P2X7 receptor, that have not been identified from vesicles before. Proteomic data together with detailed pathway and network analysis showed that integrins and their cytoplasmic cargo proteins are highly abundant in extracellular vesicles released upon β-glucan stimulation. In conclusion, the present data provides a solid basis for further studies on the functional role of vesicular protein secretion upon fungal infection

Compid: A New Software Tool To Integrate and Compare MS/MS Based Protein Identification Results from Mascot and Paragon

Tandem mass spectrometry-based proteomics experiments produce large amounts of raw data, and different database search engines are needed to reliably identify all the proteins from this data. Here, we present Compid, an easy-to-use software tool that can be used to integrate and compare protein identification results from two search engines, Mascot and Paragon. Additionally, Compid enables extraction of information from large Mascot result files that cannot be opened via the Web interface and calculation of general statistical information about peptide and protein identifications in a data set. To demonstrate the usefulness of this tool, we used Compid to compare Mascot and Paragon database search results for mitochondrial proteome sample of human keratinocytes. The reports generated by Compid can be exported and opened as Excel documents or as text files using configurable delimiters, allowing the analysis and further processing of Compid output with a multitude of programs. Compid is freely available and can be downloaded from http://users.utu.fi/lanatr/compid. It is released under an open source license (GPL), enabling modification of the source code. Its modular architecture allows for creation of supplementary software components e.g. to enable support for additional input formats and report categories

Compid: A New Software Tool To Integrate and Compare MS/MS Based Protein Identification Results from Mascot and Paragon

Tandem mass spectrometry-based proteomics experiments produce large amounts of raw data, and different database search engines are needed to reliably identify all the proteins from this data. Here, we present Compid, an easy-to-use software tool that can be used to integrate and compare protein identification results from two search engines, Mascot and Paragon. Additionally, Compid enables extraction of information from large Mascot result files that cannot be opened via the Web interface and calculation of general statistical information about peptide and protein identifications in a data set. To demonstrate the usefulness of this tool, we used Compid to compare Mascot and Paragon database search results for mitochondrial proteome sample of human keratinocytes. The reports generated by Compid can be exported and opened as Excel documents or as text files using configurable delimiters, allowing the analysis and further processing of Compid output with a multitude of programs. Compid is freely available and can be downloaded from http://users.utu.fi/lanatr/compid. It is released under an open source license (GPL), enabling modification of the source code. Its modular architecture allows for creation of supplementary software components e.g. to enable support for additional input formats and report categories

Table2_Comparison between articular chondrocytes and mesenchymal stromal cells for the production of articular cartilage implants.XLSX

Focal lesions of articular cartilage give rise to pain and reduced joint function and may, if left untreated, lead to osteoarthritis. Implantation of in vitro generated, scaffold-free autologous cartilage discs may represent the best treatment option. Here we compare articular chondrocytes (ACs) and bone marrow-derived mesenchymal stromal cells (MSCs) for their ability to make scaffold-free cartilage discs. Articular chondrocytes produced more extracellular matrix per seeded cell than mesenchymal stromal cells. Quantitative proteomics analysis showed that articular chondrocyte discs contained more articular cartilage proteins, while mesenchymal stromal cell discs had more proteins associated with cartilage hypertrophy and bone formation. Sequencing analysis revealed more microRNAs associated with normal cartilage in articular chondrocyte discs, and large-scale target predictions, performed for the first time for in vitro chondrogenesis, suggested that differential expression of microRNAs in the two disc types were important mechanisms behind differential synthesis of proteins. We conclude that articular chondrocytes should be preferred over mesenchymal stromal cells for tissue engineering of articular cartilage.</p

Cytosolic RNA Recognition Pathway Activates 14-3-3 Protein Mediated Signaling and Caspase-Dependent Disruption of Cytokeratin Network in Human Keratinocytes

The skin is the primary boundary between the body and the environment. In addition to its properties as a physical barrier, skin keratinocytes actively participate in many defense mechanisms. Viral double-stranded RNA (dsRNA) is the most important viral structure involved in activation of immune response. Intracellular detection of dsRNA by cytoplasmic receptors activates well-characterized antiviral response, as well as pro-inflammatory response and apoptosis of virus-infected cells. Here, we have used quantitative subcellular proteomics to characterize the signaling pathways activated by cytosolic dsRNA recognition pathway in human keratinocytes. Cytoplasmic and mitochondrial proteomes were analyzed using 2-DE in combination with MS, immunoblotting and confocal microscopy. We have identified 239 reproducibly differentially expressed proteins upon dsRNA stimulation. The identified proteins include several key proteins involved in cytoskeletal dynamics, cell signaling, cell death, and stress response. Our analysis provides novel information how the cytokeratin network is disrupted in a caspase-dependent manner upon dsRNA stimulation as well as Encephalomyocarditis virus or Vesicular stomatitis virus infection. We show that this caspase-dependent disruption of cytokeratin is activated by cytoplasmic RNA recognition pathway. In addition, we show that viral infection activates 14-3-3 protein mediated signaling pathways in human keratinocytes which suggest an important role of 14-3-3 proteins in antiviral innate immune response

Table3_Comparison between articular chondrocytes and mesenchymal stromal cells for the production of articular cartilage implants.XLSX

Focal lesions of articular cartilage give rise to pain and reduced joint function and may, if left untreated, lead to osteoarthritis. Implantation of in vitro generated, scaffold-free autologous cartilage discs may represent the best treatment option. Here we compare articular chondrocytes (ACs) and bone marrow-derived mesenchymal stromal cells (MSCs) for their ability to make scaffold-free cartilage discs. Articular chondrocytes produced more extracellular matrix per seeded cell than mesenchymal stromal cells. Quantitative proteomics analysis showed that articular chondrocyte discs contained more articular cartilage proteins, while mesenchymal stromal cell discs had more proteins associated with cartilage hypertrophy and bone formation. Sequencing analysis revealed more microRNAs associated with normal cartilage in articular chondrocyte discs, and large-scale target predictions, performed for the first time for in vitro chondrogenesis, suggested that differential expression of microRNAs in the two disc types were important mechanisms behind differential synthesis of proteins. We conclude that articular chondrocytes should be preferred over mesenchymal stromal cells for tissue engineering of articular cartilage.</p

Comparative Exoprotein Profiling of Different <i>Staphylococcus epidermidis</i> Strains Reveals Potential Link between Nonclassical Protein Export and Virulence

Staphylococcus epidermidis (SE) includes commensal and pathogenic strains capable of infecting humans and animals. This study reports global exoproteome profiling of bovine mastitis strain PM221 and two human strains, commensal-type ATCC12228 and sepsis-associated RP62A. We identified 451, 395, and 518 proteins from culture supernatants of PM221, ATCC12228, and RP62A, respectively. Comparison of the identified exoproteomes revealed several strain-specific differences related to secreted antigens and adhesins, higher virulence capability for RP62A, and similarities between the PM221 and RP62A exoproteomes. The majority of the identified proteins (∼80%) were predicted to be cytoplasmic, including proteins known to be associated in membrane vesicles (MVs) in Staphylococcus aureus and immunogenic/adhesive moonlighting proteins. Enrichment of MV fractions from culture supernatants and analysis of their protein composition indicated that this nonclassical protein secretion pathway was being exploited under the conditions used and that there are strain-specific differences in nonclassical protein export. In addition, several predicted cell-surface proteins were identified in the culture media. In summary, the present study is the first in-depth exoproteome analysis of SE highlighting strain-specific factors able to contribute to virulence and adaptation

Cytosolic RNA Recognition Pathway Activates 14-3-3 Protein Mediated Signaling and Caspase-Dependent Disruption of Cytokeratin Network in Human Keratinocytes

The skin is the primary boundary between the body and the environment. In addition to its properties as a physical barrier, skin keratinocytes actively participate in many defense mechanisms. Viral double-stranded RNA (dsRNA) is the most important viral structure involved in activation of immune response. Intracellular detection of dsRNA by cytoplasmic receptors activates well-characterized antiviral response, as well as pro-inflammatory response and apoptosis of virus-infected cells. Here, we have used quantitative subcellular proteomics to characterize the signaling pathways activated by cytosolic dsRNA recognition pathway in human keratinocytes. Cytoplasmic and mitochondrial proteomes were analyzed using 2-DE in combination with MS, immunoblotting and confocal microscopy. We have identified 239 reproducibly differentially expressed proteins upon dsRNA stimulation. The identified proteins include several key proteins involved in cytoskeletal dynamics, cell signaling, cell death, and stress response. Our analysis provides novel information how the cytokeratin network is disrupted in a caspase-dependent manner upon dsRNA stimulation as well as Encephalomyocarditis virus or Vesicular stomatitis virus infection. We show that this caspase-dependent disruption of cytokeratin is activated by cytoplasmic RNA recognition pathway. In addition, we show that viral infection activates 14-3-3 protein mediated signaling pathways in human keratinocytes which suggest an important role of 14-3-3 proteins in antiviral innate immune response

Comparative Exoprotein Profiling of Different <i>Staphylococcus epidermidis</i> Strains Reveals Potential Link between Nonclassical Protein Export and Virulence

Staphylococcus epidermidis (SE) includes commensal and pathogenic strains capable of infecting humans and animals. This study reports global exoproteome profiling of bovine mastitis strain PM221 and two human strains, commensal-type ATCC12228 and sepsis-associated RP62A. We identified 451, 395, and 518 proteins from culture supernatants of PM221, ATCC12228, and RP62A, respectively. Comparison of the identified exoproteomes revealed several strain-specific differences related to secreted antigens and adhesins, higher virulence capability for RP62A, and similarities between the PM221 and RP62A exoproteomes. The majority of the identified proteins (∼80%) were predicted to be cytoplasmic, including proteins known to be associated in membrane vesicles (MVs) in Staphylococcus aureus and immunogenic/adhesive moonlighting proteins. Enrichment of MV fractions from culture supernatants and analysis of their protein composition indicated that this nonclassical protein secretion pathway was being exploited under the conditions used and that there are strain-specific differences in nonclassical protein export. In addition, several predicted cell-surface proteins were identified in the culture media. In summary, the present study is the first in-depth exoproteome analysis of SE highlighting strain-specific factors able to contribute to virulence and adaptation

Comparative Proteome Cataloging of Lactobacillus rhamnosus Strains GG and Lc705

The present study reports an in-depth proteome analysis of two Lactobacillus rhamnosus strains, the well-known probiotic strain GG and the dairy strain Lc705. We used GeLC–MS/MS, in which proteins are separated using 1-DE and identified using nanoLC–MS/MS, to generate high-quality protein catalogs. To maximize the number of identifications, all data sets were searched against the target databases using two search engines, Mascot and Paragon. As a result, over 1600 high-confidence protein identifications, covering nearly 60% of the predicted proteomes, were obtained from each strain. This approach enabled identification of more than 40% of all predicted surfome proteins, including a high number of lipoproteins, integral membrane proteins, peptidoglycan associated proteins, and proteins predicted to be released into the extracellular environment. A comparison of both data sets revealed the expression of more than 90 proteins in GG and 150 in Lc705, which lack evolutionary counterparts in the other strain. Differences were noted in proteins with a likely role in biofilm formation, phage-related functions, reshaping the bacterial cell wall, and immunomodulation. The present study provides the most comprehensive catalog of the Lactobacillus proteins to date and holds great promise for the discovery of novel probiotic effector molecules