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Träfflista för sökning "WFRF:(Marko Varga Gyorgy) "

Sökning: WFRF:(Marko Varga Gyorgy)

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1.
  • Adhikari, Subash, et al. (författare)
  • A high-stringency blueprint of the human proteome
  • 2020
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1
  • Forskningsöversikt (refereegranskat)abstract
    • The Human Proteome Organization (HUPO) launched the Human Proteome Project (HPP) in 2010, creating an international framework for global collaboration, data sharing, quality assurance and enhancing accurate annotation of the genome-encoded proteome. During the subsequent decade, the HPP established collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposited community data, continuously increasing the coverage of the human proteome. On the occasion of the HPP’s tenth anniversary, we here report a 90.4% complete high-stringency human proteome blueprint. This knowledge is essential for discerning molecular processes in health and disease, as we demonstrate by highlighting potential roles the human proteome plays in our understanding, diagnosis and treatment of cancers, cardiovascular and infectious diseases.
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2.
  • Betancourt, Lázaro H., et al. (författare)
  • Targeting the hydrophilic regions of recombinant proteins by MS via in-solution buffer-free trypsin digestion
  • 2020
  • Ingår i: European Journal of Mass Spectrometry. - : SAGE Publications. - 1469-0667 .- 1751-6838. ; 26:3, s. 230-237
  • Tidskriftsartikel (refereegranskat)abstract
    • A desalting step using reversed phase chromatography is a common practice prior to mass spectrometry analysis of proteolytic digests in spite of the detrimental exclusion of the hydrophilic peptides. The detection of such peptides is also important for the complete coverage of protein sequences and the analysis of posttranslational modifications as inquired by regulatory agencies for the commercialization of biotechnological products. The procedure described here, named in-solution buffer-free digestion, simplifies the sample processing and circumvents the above-mentioned limitations by allowing the detection of tryptic hydrophilic peptides via direct ESI-MS analysis. Two DNA recombinant proteins such as HBcAg (hepatitis B core antigen) and fusion VEGF (vascular endothelial growth factor) were analyzed with the proposed in-solution buffer-free digestion allowing the detection of extremely hydrophilic di-, tri- and tetra-peptides, C-terminal His-tail peptide, as well as disulfide-containing peptides. All these molecular species are hardly seen in mass spectrometric analysis using a standard digestion that includes a C18-desalting step. The procedure was also successfully tried on hydrophilic tetra- and hexa-peptides of Ribonuclease B carrying an N-glycosylation site occupied with “high-mannose” N-glycan chains. The in-solution buffer-free digestion constitutes a simple and straightforward approach to analyse the hydrophilic proteolytic peptides which are commonly elusive to the detection by conventional mass spectrometric analysis.
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3.
  • Brandsma, Corry Anke, et al. (författare)
  • Integrated proteogenomic approach identifying a protein signature of COPD and a new splice variant of SORBS1
  • 2020
  • Ingår i: Thorax. - : BMJ. - 0040-6376 .- 1468-3296. ; 75:2, s. 180-183
  • Tidskriftsartikel (refereegranskat)abstract
    • Translation of genomic alterations to protein changes in chronic obstructive pulmonary disease (COPD) is largely unexplored. Using integrated proteomic and RNA sequencing analysis of COPD and control lung tissues, we identified a protein signature in COPD characterised by extracellular matrix changes and a potential regulatory role for SUMO2. Furthermore, we identified 61 differentially expressed novel, non-reference, peptides in COPD compared with control lungs. This included two peptides encoding for a new splice variant of SORBS1, of which the transcript usage was higher in COPD compared with control lungs. These explorative findings and integrative proteogenomic approach open new avenues to further unravel the pathology of COPD.
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4.
  • Cho, Sung Min, et al. (författare)
  • Development of Novel VEGFR2 Inhibitors Originating from Natural Product Analogues with Antiangiogenic Impact
  • 2021
  • Ingår i: Journal of Medicinal Chemistry. - : American Chemical Society (ACS). - 0022-2623 .- 1520-4804. ; 64:21, s. 15858-15867
  • Tidskriftsartikel (refereegranskat)abstract
    • A novel natural small molecule, voacangine (Voa), has been discovered as a potent antiangiogenic compound. Notably, Voa directly binds the kinase domain of the vascular endothelial growth factor receptor 2 (VEGFR2) and thereby inhibits downstream signaling. Herein, we developed synthetic small molecules based on the unique chemical structure of Voa that directly and specifically target and modulate the kinase activity of VEGFR2. Among these Voa structure analogues, Voa analogue 19 (V19) exhibited increased antiangiogenic potency against VEGF-induced VEGFR2 phosphorylation without cytotoxic effects. Moreover, treatment with V19 resulted in significant tumor cell death in a mouse xenograft model. In conclusion, this new VEGFR2 modulator, inspired from the rigid scaffold of a natural compound, Voa, is presented as a potent candidate in the development of new antiangiogenic agents.
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5.
  • Eriksson, Jonatan O., et al. (författare)
  • Clusterwise Peak Detection and Filtering Based on Spatial Distribution to Efficiently Mine Mass Spectrometry Imaging Data
  • 2019
  • Ingår i: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; , s. 11888-11896
  • Tidskriftsartikel (refereegranskat)abstract
    • Mass spectrometry imaging (MSI) has the potential to reveal the localization of thousands of biomolecules such as metabolites and lipids in tissue sections. The increase in both mass and spatial resolution of today's instruments brings on considerable challenges in terms of data processing; accurately extracting meaningful signals from the large data sets generated by MSI without losing information that could be clinically relevant is one of the most fundamental tasks of analysis software. Ion images of the biomolecules are generated by visualizing their intensities in 2-D space using mass spectra collected across the tissue section. The intensities are often calculated by summing each compound's signal between predefined sets of borders (bins) in the m/z dimension. This approach, however, can result in mixed signals from different compounds in the same bin or splitting the signal from one compound between two adjacent bins, leading to low quality ion images. To remedy this problem, we propose a novel data processing approach. Our approach consists of a sensitive peak detection method able to discover both faint and localized signals by utilizing clusterwise kernel density estimates (KDEs) of peak distributions. We show that our method can recall more ground-truth molecules, molecule fragments, and isotopes than existing methods based on binning. Furthermore, it automatically detects previously reported molecular ions of lipids, including those close in m/z, in an experimental data set.
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6.
  • Hwang, Hui Yun, et al. (författare)
  • Profiling the Protein Targets of Unmodified Bio-Active Molecules with Drug Affinity Responsive Target Stability and Liquid Chromatography/Tandem Mass Spectrometry
  • 2020
  • Ingår i: Proteomics. - : Wiley. - 1615-9853 .- 1615-9861. ; 20:9
  • Forskningsöversikt (refereegranskat)abstract
    • Identifying the target proteins of bioactive small molecules is a key step in understanding mode-of-action of the drug and addressing the underlying mechanisms responsible for a particular phenotype. Proteomics has been successfully used to elucidate the target protein profiles of unmodified and ligand-modified bioactive small molecules. In the latter approach, compounds can be modified via click chemistry and combined with activity-based protein profiling. Target proteins are then enriched by performing a pull-down with the modified ligand. Methods that utilize unmodified bioactive small molecules include the cellular thermal shift assay, thermal proteome profiling, stability of proteins from rates of oxidation, and the drug affinity responsive target stability (DARTS) determination (or read-out). This review highlights recent proteomic approaches utilizing data-dependent analysis and data-independent analysis to identify target proteins by DARTS. When combined with liquid chromatography/tandem mass spectrometry, DARTS enables the identification of proteins that bind to drug molecules that leads to a conformational change in the target protein(s). In addition, an effective strategy is proposed for selecting the target protein(s) from within the pool of analyzed candidates. With additional complementary methods, the biologically relevant target proteins that bind to the small bio-active molecules can be further validated.
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7.
  • Indira Chandran, Vineesh, et al. (författare)
  • Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics
  • 2019
  • Ingår i: Journal of Neuro-Oncology. - : SPRINGER. - 0167-594X .- 1573-7373. ; 144:3, s. 477-488
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose Glioblastoma multiforme (GBM) is the most common and lethal of primary malignant brain tumors. Hypoxia constitutes a major determining factor for the poor prognosis of high-grade glioma patients, and is known to contribute to the development of treatment resistance. Therefore, new strategies to comprehensively profile and monitor the hypoxic status of gliomas are of high clinical relevance. Here, we have explored how the proteome of secreted extracellular vesicles (EVs) at the global level may reflect hypoxic glioma cells. Methods We have employed shotgun proteomics and label free quantification to profile EVs isolated from human high-grade glioma U87-MG cells cultured at normoxia or hypoxia. Parallel reaction monitoring was used to quantify the identified, hypoxia-associated EV proteins. To determine the potential biological significance of hypoxia-associated proteins, the cumulative Z score of identified EV proteins was compared with GBM subtypes from HGCC and TCGA databases. Results In total, 2928 proteins were identified in EVs, out of which 1654 proteins overlapped with the ExoCarta EV-specific database. We found 1034 proteins in EVs that were unique to the hypoxic status of U87-MG cells. We subsequently identified an EV protein signature, "HYPSIGNATURE", encompassing nine proteins that strongly represented the hypoxic situation and exhibited close proximity to the mesenchymal GBM subtype. Conclusions We propose, for the first time, an EV protein signature that could comprehensively reflect the hypoxic status of high-grade glioma cells. The presented data provide proof-of-concept for targeted proteomic profiling of glioma derived EVs, which should motivate future studies exploring its utility in non-invasive diagnosis and monitoring of brain tumor patients.
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8.
  • Indira Chandran, Vineesh, et al. (författare)
  • Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma
  • 2019
  • Ingår i: Clinical Cancer Research. - 1078-0432 .- 1557-3265. ; 25:10, s. 3115-3127
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: Liquid biopsy has great potential to improve the management of brain tumor patients at high risk of surgery-associated complications. Here, the aim was to explore plasma extracellular vesicle (plEV) immunoprofiling as a tool for noninvasive diagnosis of glioma.Experimental Design: PlEV isolation and analysis were optimized using advanced mass spectrometry, nanoparticle tracking analysis, and electron microscopy. We then established a new procedure that combines size exclusion chromatography isolation and proximity extension assay-based ultrasensitive immunoprofiling of plEV proteins that was applied on a well-defined glioma study cohort (n = 82).Results: Among potential candidates, we for the first time identify syndecan-1 (SDC1) as a plEV constituent that can discriminate between high-grade glioblastoma multiforme (GBM, WHO grade IV) and low-grade glioma [LGG, WHO grade II; area under the ROC curve (AUC): 0.81; sensitivity: 71%; specificity: 91%]. These findings were independently validated by ELISA. Tumor SDC1 mRNA expression similarly discriminated between GBM and LGG in an independent glioma patient population from The Cancer Genome Atlas cohort (AUC: 0.91; sensitivity: 79%; specificity: 91%). In experimental studies with GBM cells, we show that SDC1 is efficiently sorted to secreted EVs. Importantly, we found strong support of plEVSDC1 originating from GBM tumors, as plEVSDC1 correlated with SDC1 protein expression in matched patient tumors, and plEVSDC1 was decreased postoperatively depending on the extent of surgery.Conclusions: Our studies support the concept of circulating plEVs as a tool for noninvasive diagnosis and monitoring of gliomas and should move this field closer to the goal of improving the management of cancer patients.
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9.
  • Kelemen, Olga, et al. (författare)
  • Proteomic analysis enables distinction of early- versus advanced-stage lung adenocarcinomas
  • 2020
  • Ingår i: Clinical and Translational Medicine. - : Wiley. - 2001-1326. ; 10:2, s. 106-106
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: A gel-free proteomic approach was utilized to perform in-depth tissue protein profiling of lung adenocarcinoma (ADC) and normal lung tissues from early and advanced stages of the disease. The long-term goal of this study is to generate a large-scale, label-free proteomics dataset from histologically well-classified lung ADC that can be used to increase further our understanding of disease progression and aid in identifying novel biomarkers.METHODS AND RESULTS: Cases of early-stage (I-II) and advanced-stage (III-IV) lung ADCs were selected and paired with normal lung tissues from 22 patients. The histologically and clinically stratified human primary lung ADCs were analyzed by liquid chromatography-tandem mass spectrometry. From the analysis of ADC and normal specimens, 4863 protein groups were identified. To examine the protein expression profile of ADC, a peak area-based quantitation method was used. In early- and advanced-stage ADC, 365 and 366 proteins were differentially expressed, respectively, between normal and tumor tissues (adjusted P-value < .01, fold change ≥ 4). A total of 155 proteins were dysregulated between early- and advanced-stage ADCs and 18 were suggested as early-specific stage ADC. In silico functional analysis of the upregulated proteins in both tumor groups revealed that most of the enriched pathways are involved in mRNA metabolism. Furthermore, the most overrepresented pathways in the proteins that were unique to ADC are related to mRNA metabolic processes.CONCLUSIONS: Further analysis of these data may provide an insight into the molecular pathways involved in disease etiology and may lead to the identification of biomarker candidates and potential targets for therapy. Our study provides potential diagnostic biomarkers for lung ADC and novel stage-specific drug targets for rational intervention.
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10.
  • Kim, Tae Young, et al. (författare)
  • Dna polymerase alpha subunit b is a binding protein for erlotinib resistance in non-small cell lung cancer
  • 2020
  • Ingår i: Cancers. - : MDPI AG. - 2072-6694. ; 12:9, s. 1-14
  • Tidskriftsartikel (refereegranskat)abstract
    • Erlotinib inhibits epithelial growth factor receptor (EGFR) kinase activity and is used to treat non-small cell lung cancer (NSCLC). Despite its high efficacy, recurrence can occur in patients who become resistant to the drug. To address the underlying mechanism of Erlotinib resistance, we investigated additional mechanisms related to mode-of-drug-action, by multiple protein-binding interactions, besides EGFR by using drug affinity responsive target stability (DARTS) and liquid chromatography-mass spectrometry (LC-MS/MS) methods with non-labeled Erlotinib. DNA polymerase alpha subunit B (POLA2) was identified as a new Erlotinib binding protein that was validated by the DARTS platform, complemented with cellular thermal shift assays. Genetic knock-down of POLA2 promoted the anti-proliferative effect of the drug in the Erlotinib-resistant cell line H1299 with high POLA2 expression, whereas the overexpression of POLA2 restored anti-proliferative effects in the Erlotinib-sensitive cell line HCC827 with low POLA2 expression. Importantly, POLA2 expression levels in four NSCLC cell lines were positively correlated with anti-proliferative Erlotinib efficacy (Pearson correlation coefficient, R = 0.9886). These results suggest that POLA2 is a novel complementary target protein of Erlotinib, and could clinically provide validity as a surrogate marker for drug resistance in patients with NSCLC.
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