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PubMed2006

Proteomic analysis of neuroblastoma subtypes in response to mitogen-activated protein kinase inhibition: profiling multiple targets of cancer kinase signaling.

INTRODUCTION: Survival for high-risk neuroblastoma (NB) remains poor despite aggressive therapy. Novel therapies are vital for improving prognosis. We previously showed differential NB subtype sensitivity to p42/44 mitogen-activated protein kinase (ERK/MAPK) pathway inhibition. In this study, we investigated proteomic changes associated with resistance or sensitivity to MAPK kinase (MEK) inhibition in NB subtypes. MATERIALS AND METHODS: SH-SY5Y (N-type), BE(2)-C (I-type), and SK-N-AS (S-type) were treated with MEK inhibitor U0126 (10 microM) for 1 and 24 h. Proteins were extracted from untreated and treated cells and analyzed for differential expression by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Selected polypeptides were extracted from the gel and identified by liquid chromatography-linked tandem mass spectrometry (LC-MS/MS). RESULTS: We identified 15 proteins that were decreased by 2.5-fold between untreated and 1 h treated cells and subsequently up-regulated 5-fold after 24 h drug treatment. N-type NB (MEK-resistant) showed the least altered proteomic profile whereas the I-type (MEK-sensitive) and S-type NB (MEK-intermediate) generated significant protein changes. The majority of proteins identified were induced by stress. CONCLUSIONS: Protein differences exist between MEK inhibitor-treated NB subtypes. Identified polypeptides all have roles in mediating cellular stress. These data suggest that inhibition of the ERK/MAPK in NB subtypes leads to an intracellular stress response. The most resistant NB cell line to MEK inhibitor treatment generated the least protective protein profile, whereas the intermediate and most sensitive NB cells produced the most stress response. These findings suggest stress related protein expression may be targeted in assessing a response to ERK/MAPK therapeutics.

Butadienes↗
PubMed2006

Comparative proteome analysis of Staphylococcus aureus biofilm and planktonic cells and correlation with transcriptome profiling.

Pathogenic staphylococci can form biofilms in which they show a higher resistance to antibiotics and the immune defense system than their planktonic counterparts, which suggests that the cells in a biofilm have an altered metabolic activity. Here, 2-D PAGE was used to identify secreted, cell wall-associated and cytoplasmic proteins expressed in Staphylococcus aureus after 8 and 48 h of growth. The proteins were separated at pH ranges of 4-7 or 6-11. The protein patterns revealed significant differences in 427 protein spots; from these, 258 non-redundant proteins were identified using ESI-MS/MS. Biofilm cells expressed higher levels of proteins associated with cell attachment and peptidoglycan synthesis, and in particular fibrinogen-binding proteins. Enzymes involved in pyruvate and formate metabolism were upregulated. Furthermore, biofilm cells expressed more staphylococcal accessory regulator A protein (SarA), which corroborates the positive effect of SarA on the expression of the intercellular adhesion operon ica and biofilm growth. In contrast, proteins, such as proteases and particularly immunodominant antigen A (IsaA) and staphylococcal secretory antigen (SsaA), were found in lower amounts. The RNA expression profiling largely supports the proteomic data. The results were mapped onto KEGG pathways.

Bacterial Proteins↗
PubMed2006

PRIDE: a public repository of protein and peptide identifications for the proteomics community.

PRIDE, the 'PRoteomics IDEntifications database' (http://www.ebi.ac.uk/pride) is a database of protein and peptide identifications that have been described in the scientific literature. These identifications will typically be from specific species, tissues and sub-cellular locations, perhaps under specific disease conditions. Any post-translational modifications that have been identified on individual peptides can be described. These identifications may be annotated with supporting mass spectra. At the time of writing, PRIDE includes the full set of identifications as submitted by individual laboratories participating in the HUPO Plasma Proteome Project and a profile of the human platelet proteome submitted by the University of Ghent in Belgium. By late 2005 PRIDE is expected to contain the identifications and spectra generated by the HUPO Brain Proteome Project. Proteomics laboratories are encouraged to submit their identifications and spectra to PRIDE to support their manuscript submissions to proteomics journals. Data can be submitted in PRIDE XML format if identifications are included or mzData format if the submitter is depositing mass spectra without identifications. PRIDE is a web application, so submission, searching and data retrieval can all be performed using an internet browser. PRIDE can be searched by experiment accession number, protein accession number, literature reference and sample parameters including species, tissue, sub-cellular location and disease state. Data can be retrieved as machine-readable PRIDE or mzData XML (the latter for mass spectra without identifications), or as human-readable HTML.

Databases, Protein↗
PubMed2004

Understanding human dendritic cell biology through gene profiling.

Dendritic cells are potent antigen presenting cells whose function has been associated with a variety of immunological disorders. Because of their relevance to human disease, extensive efforts have been made to gain a better understanding of their biology. One aspect of these efforts has been in the identification of pertinent molecules expressed in these cells through gene profiling experiments and proteomics. In this review, we summarize the results from the various profiling studies that have been done with human dendritic cells. We focus on molecules, which have been confirmed by other methods, such as quantitative PCR, or have been identified in multiple profiling studies to be expressed in the respective dendritic cell type. Through such profiling experiments and subsequent analysis, interesting molecules have been identified which can be further studied to determine their role in dendritic cell biology.

Dendritic Cells↗
PubMed2026

Antibody-Based Proximity Labeling Reveals Bait-Proximal Proteomes in Paraffin-Embedded and Snap-Frozen Tissue Samples.

Proximity-based labeling approaches have proven highly valuable for uncovering protein-protein interactions, yet their application to primary patient material remains challenging. Here, we present a workflow enabling the use of the antibody-based ProtA-Turbo proximity labeling system in both formalin-fixed paraffin-embedded (FFPE) and snap-frozen tissue specimens. Our method efficiently directs biotinylation to diverse antibody baits across tissues of different origins. Downstream mass spectrometry-based proteomics analyses demonstrate the specificity of the method by profiling the proximal proteome of H3K27ac-marked chromatin, the nuclear lamina-associated protein EMD, and the Ser2-phosphorylated POLR2A subunit of RNA polymerase II. Using this method, we identified cell-type-specific factors and transcriptional regulators in salivary gland carcinoma, healthy testis, and testicular cancer tissue sections. The ability to detect disease-associated complexes directly within their native, spatially resolved cellular context using ProtA-Turbo can provide new insights into the molecular basis of human disease and may reveal novel, potentially actionable factors with translational relevance.

Humans↗
PubMed2006

Optimizing UV laser focus profiles for improved MALDI performance.

Matrix assisted laser desorption/ionization (MALDI) applications, such as proteomics, genomics, clinical profiling and MALDI imaging, have created a growing demand for faster instrumentation. Since the commonly used nitrogen lasers have throughput and life span limitations, diode-pumped solid-state lasers are an alternative. Unfortunately this type of laser shows clear performance limitations in MALDI in terms of sensitivity, resolution and ease of use, for applications such as thin-layer sample preparations, acceptance of various matrices (e.g. DHB for glycopeptides) and MALDI imaging. While it is obvious that the MALDI process has some dependence on the characteristics of the laser used, it is unclear which features are the most critical in determining laser performance for MALDI. In this paper we show, for the first time, that a spatially structured laser beam profile in lieu of a Gaussian profile is of striking importance. This result enabled us to design diode-pumped Nd : YAG lasers that on various critical applications perform as well for MALDI as the nitrogen lasers and in some respects even better. The modulation of the beam profile appears to be a new parameter for optimizing the MALDI process. In addition, the results trigger new questions directing us to a better understanding of the MALDI process.

Algorithms↗
PubMed2004

Proteomics of Medicago sativa cell walls.

A method for the sequential extraction and profiling by two-dimensional gel electrophoresis (2-DE) of Medicago sativa (alfalfa) stem cell wall proteins is described. Protein extraction included freezing, grinding in a sodium acetate buffer, separation by filtration of cell walls from cytosolic contents, and extensive washing. Cell wall proteins were then extracted sequentially with a solution containing 200 mM CaCl2 and 50 mM sodium acetate, followed by extraction with 3.0 M LiCl and 50 mM sodium acetate. Cell wall proteins from both the CaCl2 and LiCl fractions were profiled by 2-DE. Approximately 150 protein spots were extracted from these two gels, digested with trypsin, and analyzed using nanoscale HPLC coupled to a hybrid quadrupole time-of-flight (Q-tof) tandem mass spectrometer (LC/MS/MS). More than 100 proteins were identified and used in conjunction with the 2-DE profiles to generate proteomic reference maps for cell walls of this important legume. Identified proteins include classical cell wall proteins as well as proteins traditionally considered as non-secreted. Two unique extracellular proteins were also identified.

Cell Wall↗
PubMedDate not supplied

Proteomics for the identification of new prostate cancer biomarkers.

Molecular profiling studies of human prostate cancer provide great opportunities to identify new prostate cancer biomarkers to improve prostate cancer detection and treatment. Proteomics has distinct advantages over genomic and ribonucleic acid expression studies because it is the proteins that are ultimately responsible for the malignant phenotype. The goal of traditional proteomic studies is to identify disease-specific biomarkers. Two-dimensional (2-D) gel electrophoresis (polyacrylamide gel electrophoresis; PAGE) coupled with mass spectrometry is the most widely used experimental strategy and, to date, has yielded several potentially relevant prostate cancer biomarkers. A promising prostate cancer biomarker identified by 2-D PAGE and mass spectrometry is annexin I. Studies have already confirmed that annexin I is underexpressed in a majority of early stage prostate cancers. Other non-gel-based proteomic technologies that may have improved sensitivity as compared to 2-D PAGE have recently been developed. An example of this is the ProteomeLab PF 2-D (Beckman Coulter, Inc., Fullerton, CA). The goal of most proteomic studies is to identify biomarkers that can be measured by enzyme-linked immunosorbent assay or immunohistochemistry. Improvements in proteomic technology may be changing this paradigm because there are now efforts to develop proteomic technologies directly into clinical diagnostic tests. An example of this technology is surface-enhanced laser desorption ionization time-of-flight mass spectrometry. Using this technology combined with a pattern recognition based bioinformatics tool, discriminatory spectrum proteomic profiles were generated that could help discriminate men with prostate cancer from those with benign prostates. If several technologic hurdles can be overcome, it is possible that methodology will improve the specificity and sensitivity of prostate cancer detection.

Biomarkers, Tumor↗
PubMed2005

Discovery metabolite profiling--forging functional connections between the proteome and metabolome.

Of primary interest for every enzyme is the identification of its physiological substrates. However, the vast structural diversity of endogenous metabolites, coupled with the overlapping activities of numerous enzymes, makes it difficult to deduce the identity of natural substrates for a given enzyme based on in vitro experiments. To address this challenge, we recently introduced an LC-MS based analytical method termed discovery metabolite profiling (DMP) to evaluate the global metabolic effects of enzyme inactivation in vivo. We have applied DMP to study mice lacking the enzyme fatty acid amide hydrolase (FAAH), which degrades the endocannabinoid family of signaling lipids. DMP identified several previously uncharacterized FAAH substrates, including a structurally novel class of brain lipids that represent conjugates of very long chain fatty acids with the amino acid derivative taurine [N-acyl taurines (NATs)]. These findings show that DMP can establish direct connections between the proteome and metabolome and thus offers a powerful strategy to assign physiological functions to enzymes in the post-genomic era.

Amidohydrolases↗
PubMed2005

Differential expression profiling of membrane proteins by quantitative proteomics in a human mesenchymal stem cell line undergoing osteoblast differentiation.

One of the major limitations for understanding the biology of human mesenchymal stem cells (hMSCs) is the absence of prospective markers needed for distinguishing them from other cells and for monitoring lineage-specific differentiation. Mass spectrometry (MS)-based proteomics has proven extremely useful for analyzing complex protein expression patterns and, when applied quantitatively, can be used to resolve subtle differences between samples. Thus, we used MS to characterize changes in expression of membrane protein markers before and after short-term induction of osteoblast (OB) differentiation in a cell model of hMSCs established by overexpression of human telomerase reverse-transcriptase gene. We identified 463 unique proteins with extremely high confidence, including all known markers of hMSCs (e.g., SH3 [CD71], SH2 [CD105], CD166, CD44, Thy1, CD29, and HOP26 [CD63]) among 148 integral membrane or membrane-anchored proteins and 159 membrane-associated proteins. Twenty-nine integrins and cell adhesion molecules, 20 receptors, and 18 Ras-related small GTPases were also identified. Upon OB differentiation, the expression levels of 83 proteins increased by at least twofold whereas the levels of another 21 decreased by at least twofold. For example, alkaline phosphatase (ALP), versican core protein, and tenascin increased 27-, 12-, and 4-fold, respectively, and fatty acid synthase decreased sixfold. The observed increases in veriscan and ALP were confirmed using immunocytochemistry and cytochemistry. Quantitative real-time reverse transcription-polymerase chain reaction confirmed the presence of mRNA of these membrane proteins. However, with the exception of ALP, no concordance was detected between the changes in levels of gene and protein expression during OB differentiation. In conclusion, MS-based proteomics can reveal novel markers for MSCs that can be used for their isolation and for monitoring OB differentiation.

Bone Marrow Cells↗
PubMed2005

Characterization of proteins in the human serum proteome.

This paper presents a multidimensional profile of the human serum proteome, produced by a two-dimensional protein fractionation system based on liquid chromatography followed by characterization with capillary electrophoresis (CE). The first-dimension separation was done by chromatofocusing over a pH range from 8.5 to 4.0, where proteins were separated by their isoelectric points (pI). In this dimension, fractions were collected based on pH. The first-dimension pI fractions were then resolved in the second dimension by high-resolution, reversed-phase chromatography with a gradient of trifluoroacetic acid (TFA) in acetonitrile and TFA in water. A selected protein fraction collected from the second dimension by time was characterized by CE for molecular-weight estimation and for presence of isoforms. Molecular-weight estimation was done by sodium dodecyl sulfate capillary gel electrophoresis, where proteins were separated in the range of 10,000-225,000 Da. Detection of isoforms was done by capillary isoelectric focusing over a pH range of 3-10. A selected second-dimension fraction that contained the putative serum iron-binding protein transferrin was analyzed by these two CE techniques for molecular-weight determination and the presence of isoforms. The combination of two-dimensional protein fractionation and CE characterization represents an advanced tool for proteomics.

Adult↗
PubMed2004

Proteome analysis reveals a distinct molecular profile of cellular stress following incubation of DDT1-MF2 smooth muscle cells in the presence of a high concentration of hyperforin.

The acylphloroglucinol derivative hyperforin is a major constituent of St. John's wort extracts ( Hypericum perforatum L.), which has been demonstrated to contribute to the antidepressant action of this herbal drug. In previous investigations we observed that hyperforin causes a rapid stimulation of intracellular calcium mobilization and enhances extracellular acidification in the hamster vas deferens smooth muscle cell line DDT (1)-MF2. To obtain further insight into its mode of action, we have now examined if these effects are accompanied by changes in protein expression. Cells were incubated with hyperforin for 15 min at a concentration of 1 microg/mL. Proteome analysis in cell lysates was accomplished by two-dimensional gel electrophoresis (2D-PAGE) and proteins were visualized by silver staining. Differences in the expression pattern between hyperforin- and vehicle-treated cells were displayed by computer-assisted differential display and identification of selected protein spots was performed by peptide mass fingerprinting after digestion with trypsin. Following incubation with hyperforin marked changes in the expression of several proteins were evident. A particularly strong change was observed for 6 proteins, which were identified as tubulin-beta, enolase 3, SYNCRIP, endoplasmin, elongation factor 2 and HSP84. As these proteins are known to be involved in cellular responses to stress by regulating energy metabolism as well as synthesis, intracellular transport and folding of proteins, our results suggest that the effects observed are not components of the normal pharmacological activity profile of hyperforin but are rather indicative of cellular stress promoting activity at higher concentrations.

Animals↗
PubMed2026

Metaproteomic profiling reveals viral proteins and associated host proteomic alterations in glioblastoma.

Glioblastoma (GB) is a WHO grade 4 brain cancer with dismal prognosis, yet its aetiology remains poorly defined. Although viral involvement has been proposed, findings across studies remain inconsistent, reflecting inherent limitations of individual technologies and cohort size. Here we applied metaproteomic profiling to a publicly available GB proteome dataset (12 control, 21 adjacent, 159 tumour) and an independent cohort of 81 samples (37 control, 44 tumour) to detect viral proteins in tumour and controls tissues. Across cohorts, we detected viral proteins from diverse species, with human herpesviruses (HHV-1, 2, and 8) more frequently detected in GB tumours compared with control tissues. Analysis of the host tumour proteome revealed differential abundance of proteins related to transcriptional regulation, RNA processing, protein translation, immune responses, and mitochondrial-associated metabolism. Correlation analysis identified associations between viral and human proteins, with several linked to biological processes previously implicated in DNA virus-host interactions. Further stratification of tumour by HHV-1 status showed consistent alterations in proteins associated with mitochondrial-associated metabolism, protein turnover, and cell adhesion/signalling.In summary, this study demonstrates the feasibility of metaproteomics for detecting viral components in archival GB tissues. Using this approach, we observed differences in viral protein landscape across cohorts and identified associations between viral presence and host proteomic features, providing a protein-level framework for future studies of virus-host interactions in GB.

Humans↗
PubMed2005

Proteomic analysis of cadmium-induced protein profile alterations from marine alga Nannochloropsis oculata.

Protein profile alterations following exposure to cadmium were examined in marine alga Nannochloropsis oculata through proteomic analysis. Alterations of the protein expression patterns following 10 muM cadmium treatment were analyzed on 2-dimensional gels. Out of 380 protein spots detected on 2-D gel using Coomassie staining, 11 spots were changed significantly following cadmium treatment. Because of the non-availability of molecular background information on this non-sequenced algal species, cross-species protein identification through ESI-Q-TOF MS/MS was used to identify altered proteins. Two newly induced proteins were identified as malate dehydrogenase orthologue and NADH dehydrogenase orthologue. One suppressed protein was identified to be glyceraldehydes 3-phosphate dehydrogenase A. Protein spot showing a 3-fold increase was identified as mitochondrial NADH: ubiquinone oxidoreductase orthologue. However, we could not find any matches in the database from ESI-Q-TOF MS/MS for the remaining seven proteins, thus only partial peptide sequences of these proteins were found.

Amino Acid Sequence↗
PubMed2003

Targeted cellular process profiling approach for uterine leiomyoma using cDNA microarray, proteomics and gene ontology analysis.

This study utilized both cDNA microarray and two-dimensional protein gel electrophoresis technology to investigate the multiple interactions of genes and proteins involved in uterine leiomyoma pathophysiology. Also, the gene ontology analysis was used to systematically characterize the global expression profiles at cellular process levels. We profiled differentially expressed transcriptome and proteome in six-paired leiomyoma and normal myometrium. Screening up to 17 000 genes identified 21 upregulated and 50 downregulated genes. The gene-expression profiles were classified into mutually dependent 420 functional sets, resulting in 611 cellular processes according to the gene ontology. Also, protein analysis using two-dimensional gel electrophoresis identified 33 proteins (17 upregulated and 16 downregulated) of more than 500 total spots, which was classified into 302 cellular processes. Of these functional profilings, downregulations of transcriptomes and proteoms were shown in cell adhesion, cell motility, organogenesis, enzyme regulator, structural molecule activity and response to external stimulus functional activities that are supposed to play important roles in pathophysiology. In contrast, the upregulation was only shown in nucleic acid-binding activity. Taken together, potentially significant pathogenetic cellular processes were identified and showed that the downregulated functional profiling has a significant impact on the discovery of pathogenic pathway in leiomyoma. Also, the gene ontology analysis can overcome the complexity of expression profiles of cDNA microarray and two-dimensional protein analysis via its cellular process-level approach. Therefore, a valuable prognostic candidate gene with relevance to disease-specific pathogenesis can be found at cellular process levels.

Cell Communication↗
PubMedDate not supplied

Organelle proteomics of rat synaptic proteins: correlation-profiling by isotope-coded affinity tagging in conjunction with liquid chromatography-tandem mass spectrometry to reveal post-synaptic density specific proteins.

Organelle proteomics is the method of choice for global analysis of cellular proteins. However, it is difficult to isolate organelles to homogeneity. Recently, correlation-profiling has been used to filter off the contaminants ad hoc and to disclose the genuine organelle-specific proteins. In the present study, we further extend the method to include subcellular compartments that contain proteins shared by multiple distinct subcellular domains. We performed correlation profiling of proteins contained in synaptic membrane and postsynaptic density (PSD) fractions isolated from rat brain. Proteins were labeled with isotope-coded affinity-tag reagents, digested with trypsin, and resulting peptides were resolved by cation exchange chromatography followed by reversed phase chromatography. Peptides were then subjected to mass spectrometry for quantification and identification. We confirm that the core PSD proteins were enriched in the PSD preparation. Other functional protein groups such as cytoskeleton-associated proteins, protein kinases and phosphatases, signaling components and regulators, as well as proteins involved in energy production partitioned to multiple organelles. When analyzed as groups, they were shown to accumulate to a lesser extent. Mitochondrial proteins and transporters were generally strongly depleted from the PSD fraction confirming that they were contaminants of the PSD preparation. Finally, immunoelectron microscopy was performed on selected proteins to validate the proteomics results, and confirm that synaptophysin that was highly depleted in the PSD preparation is localized in the presynaptic compartment, whereas LASP-1 that was slightly enriched in the PSD preparation is present in the PSD as well as other subdomains within the synapse.

Affinity Labels↗
PubMed2026

Integrative proteomics and bioinformatics pipelines for PTM profiling.

Post-translational modifications (PTMs) regulate protein function across all life forms and allow plants to respond rapidly to biotic and abiotic stress. Over 450 PTM types have been described across organisms, of which 23-33 have been experimentally confirmed in plants, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and sumoylation. These modifications are highly dynamic and often reversible, and frequently act in combination, or "crosstalk," to fine-tune cellular processes. Advances in high-resolution mass spectrometry and large-scale genome sequencing continue to expand the catalogue of known PTM sites, while machine learning and deep learning approaches increasingly support prediction of PTM site localization and function. Unlike broader surveys of plant PTMs, this review focuses specifically on O-phosphorylation and Lys-N(ε)-acetylation, the two best-characterized and most extensively crosstalking PTMs in plants, and integrates four perspectives: the historical development of proteomic and bioinformatics approaches to these modifications; current mass spectrometry-based workflows and enrichment strategies; the bioinformatics tools and databases available for their analysis; and the technical and species-related challenges, particularly in non-model plants, that currently limit their study. We close by outlining priority directions for future research, including multi-omics integration, AI-based prediction, and the translation of PTM knowledge into crop stress resilience and breeding applications.

Protein Processing, Post-Translational↗
PubMed2006

Analytical platforms for activity-based protein profiling--exploiting the versatility of chemistry for functional proteomics.

The field of proteomics aims to develop and apply technologies for the characterization of protein function on a global scale. Toward this end, synthetic chemistry has played a major role by providing new reagents to profile segments of the proteome based on activity rather than abundance. Small molecule probes for activity-based protein profiling have been created for more than a dozen enzyme classes and used to discover several enzyme activities elevated in disease states. These innovations have inspired complementary advancements in analytical chemistry, where new platforms have been introduced to augment the information content achievable in chemical proteomics experiments. Here, we will review these analytical platforms and discuss how they have exploited the versatility of chemical probes to gain unprecedented insights into the function of proteins in biological samples of high complexity.

Animals↗