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Milk is newborn’s food and an emulsion full of all necessary components for neonatal growth. Its consumption is worldwide and is the base for all dairy products. Because of the latter, many new technologies are growing, among them proteomics; in order to give new insights in milk’s compounds and to maximize the beneficial potential for consumers’ health. In this review, we aimed to gather data of proteomics studies for the majority of dairy animals and elucidate the role of milk bioactive compounds. Furthermore, special reference was made to milk fat globule membrane (MFGM) peptides and the result of thermal treatment in milk proteins. Finally, the proteomic approach regarding adulterations was included in the review.

Embryonic stem cells, ESCs, retain the capacity to self-renew, yet, the protein machinery essential in maintaining this undifferentiated status remains largely undefined. Signalling interactions are initiated and enhanced at the plasma membrane lipid rafts, within constraints and regulations applied by the actin and tubulin cytoskeleton systems. First, we undertook a comprehensive approach using two-dimensional gel electrophoresis and mass spectrometry analysis combined with Western blotting and immunofluorescence analyses at the single cell level to compile the proteome profile of detergent-free preparations of lipid rafts of E14 mouse embryonic stem cells. In comparison with the proteomic profiles of other membrane fractions, recovery of actin and tubulin network proteins, including folding chaperones, was impressively high. At equally high frequency, we detected annexins, pleiotropic proteins that may bind membrane lipids and actin filaments to regulate important membrane processes, and we validated their expression in lipid rafts. Next, we tested whether lipid raft integrity is required for completion of mitogenic signalling pathways. Disruption of the rafts with the cholesterol sequestering methyl-β-cyclodextrin (MCD) greatly downregulated the mitotic index of ESCs, in a dose- and time of exposure-dependent manner. Moreover, MCD greatly reduced the mitogenic actions of prolactin, a hormone known to stimulate proliferation in a great variety of stem and progenitor cells. Taken together, our data postulate that lipid rafts in ESCs act in close association with the actin and tubulin cytoskeletons to support signal compartmentalization, especially for signalling pathways pertinent to symmetric divisions for self-renewal.

Peptides, either as protein fragments or as naturally occurring entities are characterized by their sequence and function features. Many times the researchers need to massively manage peptide lists concerning protein identification, biomarker discovery, bioactivity, immune response or other functionalities. We present a web server that manages peptide lists in terms of feature analysis as well as interactive clustering and visualization of the given peptides. PepServe is a useful tool in the understanding of the peptide feature distribution among a group of peptides. The PepServe web application is freely available at http://bioserver-1 .bioacademy.gr/Bioserver/PepServe/.

Summary: The uniqueness of a measured molecular mass or peptide sequence plays a very important role in the fields of protein identification and peptide/protein-biomarker investigation. We present a publicly available web application that offers information concerning the uniqueness of one or more molecular masses and one or more peptide sequences in the human proteome. When a sequence is found to be unique in humans, the application is able to search across all species querying whether this sequence is unique, not only in humans but also in other species found in the Swiss-Prot Database. The application is also able to search for unique protein fragments derived computationally from enzymatic digestion driven by certain enzymes. Furthermore, the application can list all the unique masses and peptides of a given protein. Through this application, researchers are able to find unique tags, either on a molecular mass level or on a sequence level. These unique tags are remarkably important in research related to protein identification or biomarker discovery and measurements. Availability: UniMaP web-application is available at http://bioserver -1.bioacademy.gr/Bioserver/UniMaP/ Contact: gspyrou@bioacademy.gr Supplementary information: Supplementary data are available at Bioinformatics online. The precise identification of peptide sequences and proteins is of great significance in proteomics. Specifically, in mass spectrometry, isolated proteins or protein mixtures are digested by enzymes into peptides. These peptides are then ionized by different techniques (TOF, ESI) and detected producing mass spectra that are computationally analyzed. The peptides identified with statistical significance are used for protein identification (Liebler, 2002; Marcotte, 2007). In proteomics technology of selected reaction monitoring (SRM) or multiple reaction monitoring (MRM), a predefined precursor ion and one of its fragments are selected by a filtering device and monitored over time for precise quantification (Lange et al., 2008). The determination of unique characteristics for a protein is profoundly interesting in the application of the new concepts of

Summary: The identification of unknown amino acid sequences of peptides as well as protein identification is of great significance in proteomics. Here, we present a publicly available web application that facilitates a high resolution mapping of measured molecular masses to peptides and proteins, irrespectively of the enzyme/digestion method used. Furthermore, multi-filtering may be applied in terms of measured mass tolerance, molecular mass and isoelectric point range as well as pattern matching to refine the results. This approach serves complementary to the existing solutions for protein identification and gives insights in novel peptides discovery and protein identification at the cases where the identification scores from the other approaches may be below significance threshold. Peptide Finder has been proven useful in proteomics procedures with experimental data from MALDI-TOF. Availability: Peptide Finder web-application is available at http://bioserver-1.bioacademy.gr/Bioserver/PeptideFinder/. Contact: gspyrou@bioacademy.gr

Coiled-coil domain containing 6 (CCDC6) is frequently rearranged in papillary thyroid carcinomas participating in the formation of RET/PTC1 oncogene. Other rearrangements involving CCDC6 have also been identified demonstrating its high susceptibility to chromosomal recombination. Malignancies bearing CCDC6 fusion genes are developed in a background where CCDC6 is either lost or deregulated. Our aim was to identify interacting proteins which are affected by the silencing of CCDC6 expression and could possibly link CCDC6 deregulation to cancer causality. Therefore, a proteomic approach was adopted using a human cancer cell-line (HCT116) where CCDC6 expression was silenced by lentiviral shRNA constructs. 14-3-3σ down-regulation in the absence of CCDC6 was revealed and verified by western blot analysis and confocal microscopy. Only the levels and not the topology of CCDC6 were altered. The down-regulation of 14-3-3σ in the absence of CCDC6 demonstrated their direct association and supports the notion that CCDC6 contributes to cancer development, possibly through malignant pathways involving 14-3-3σ.

To design a protocol for non-invasive prenatal diagnosis of fetal Rhesus D (RhD) status.A total of 112 single lymphocytes were used to test the efficiency of the assay. The protocol was validated using blood samples from 84 RhD-negative pregnant women at 7-24 weeks of gestation. Cell-free DNA (cfDNA) was enzymatically digested using AciI and analyzed by a polymerase chain reaction (PCR) that allowed simultaneous amplification of RHD exons 7 and 10, SRY, RASFF1A and ACTB.On the one genome-equivalent level, the efficiency of the protocol was ≥ 94.6% for each locus amplified. Conclusive results from the first set of PCRs were obtained for 79 cases with one false-positive. In five cases the analysis was repeated and, subsequently, all cases were accurately diagnosed.The proposed protocol is rapid, applicable in most molecular diagnostic laboratories and provides the basis for non-invasive examination of fetal RhD with 96.7% specificity and 100% sensitivity.

We report the establishment of two novel clear cell sarcoma (CCS) cell lines (soft tissue melanoma) from a patient and the production of the corresponding xenografts after xenotransplantation of those cells to NOD/SCID mice. As no comprehensive study on the relevant proteomes of this type of cancer has been reported to date, proteomics technologies were applied in a first attempt to analyze the proteins of the two cell lines and their corresponding primary xenografts. Total protein extracts were separated by two dimensional gel electrophoresis (2-DE) and analysed by MALDI-MS and MALDI-MS-MS following in-gel digestion with trypsin. Protein identification was carried out by peptide mass fingerprint (PMF) and post source decay (PSD), respectively. Comparative analysis revealed that 124 proteins were common between the cell lines and the xenografts; 249 proteins were found to be expressed only in the proteome of the cell lines, while 178 proteins were expressed only in the proteome of xenografts. Our results demonstrated that both cell lines and xenografts were positive for vimentin and S100 reported as markers for CCS. After functional analysis, 27 different protein groups were identified in the analysed proteomes, including apoptosis-related proteins, oncogenes and several proteins closely related to TP-53 and NF-kappa B pathways. Furthermore, the proteins nestin, stem cell growth factor CLC11 and mdr-1, closely related to malignant-melanoma-initiating cells, were found to be expressed in both the cell lines and their corresponding xenografts. Since there are no data concerning protein expression in CCS, this study may contribute to the understanding of the molecular basis of the disease, while the cell lines as well as the developed xenografts may be used as tools for the development of new therapeutic strategies to tackle this rare but fatal malignancy.

The human osteosarcoma U2OS cell line is one of the first generated cell lines and is used in various areas of biomedical research. Knowledge of its protein expression is limited and no comprehensive study on the proteome of this cell line has been reported to date. Proteomics technology was used in order to analyse the proteins of the U2OS cell line. Total protein extracts were separated by two-dimensional gel electrophoresis (2-DE) and analysed by matrix-assisted laser desorption ionisation-mass spectrometry (MALDI-MS) and MALDI--MS-MS following in-gel digestion with trypsin and, finally, protein identification was carried out by peptide mass fingerprint (PMF) and post source decay (PSD), respectively. Approximately 3,000 spots were excised from two 2-DE gels and were analysed, resulting in the identification of 237 different gene products. The majority of the identified proteins were enzymes, regulatory proteins and RNA-associated proteins, while leukocyte markers and oncogenes were also present. Our findings include 11 protooncogenes (FKBP4, SRC8, PSD10, FUBP1, PARK7, NPM, PDIA1, OXRP, SET, TCTP and GRP75) related to the cancerous state of the U2OS cell line. The U2OS 2-DE database provides the basis for future protein studies.

Proteomic analysis combining two-dimentional electrophoresis (2DE) and mass spectrometry (MS) has the potential for a wide range of applications in biological and medical sciences, as protein screening in tissues obtained from healthy and diseased conditions can determine drug targets and diagnostic markers. Conventionally, amniotic fluid (AF) samples are routinely used for prenatal diagnosis of a wide range of fetal abnormalities. Proteomics have already been applied in the analysis of tissues from fetuses with Down's syndrome, in order to detect differences in their protein profile as compared to the normal profiles and to determine possible diagnostic tools. A detailed protein 2DE for the normal human AF has not been reported. In the present study, the 2D protein database of the normal human AF supernatant (AFS) was constructed. Ten AFS samples from women carrying normal fetuses were analysed by 2DE. A mean of 412 spots per gel were analyzed and protein identification was carried out by MALDI-MS and MALDI-MS-MS. A 2D protein map comprising of 136 different gene products was constructed. The majority of the identified proteins are regulatory proteins, enzymes, secreted proteins, carriers and immunoglobulins. Twelve hypothetical proteins were also included. The normal AFS proteome map is a valuable tool for the study of aberrant protein expression and the search for proteins as possible markers for the prediction of abnormal fetuses.

The human immature T-cell line CCRF-CEM is widely used for all kinds of in vitro studies in biochemistry, biology, toxicology and medicine. Knowledge about protein expression is limited and no comprehensive study on the proteome of this cell type has been reported to date. Proteomics technologies were applied in order to analyse the proteins of the CEM cell line. The proteins were separated by two-dimensional (2-D) gel electrophoresis and analysed by MALDI-MS and MALDI-MS-MS following in-gel digestion with trypsin and, finally, protein identification was carried out by peptide mass fingerprint (PMF) and post source decay (PSD), respectively. Approximately 4,500 spots, excised from four 2-D gels, were analysed. The analysis resulted in the identification of about 1,150 proteins, the products of 451 different genes. The majority of the identified proteins were enzymes, regulatory proteins and transporters, while leukocyte markers and oncogenes were also included. The CCRF-CEM cell database today represents one of the largest 2-D databases for eukaryotic proteomes, forming the basis for future expressional studies at the protein level.