| 1. |
- Abdelrazak Morsy, Mohammad Hamdy, et al.
(författare)
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SOX11 is a novel binding partner and endogenous inhibitor of SAMHD1 ara-CTPase activity in mantle cell lymphoma
- 2024
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Ingår i: Blood. - : American Society of Hematology. - 0006-4971 .- 1528-0020. ; 143:19, s. 1953-1964
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Tidskriftsartikel (refereegranskat)abstract
- Sterile alpha motif and histidine-aspartate (HD) domain-containing protein 1 (SAMHD1) is a deoxynucleoside triphosphate triphosphohydrolase with ara-CTPase activity that confers cytarabine (ara -C) resistance in several hematological malignancies. Targeting SAMHD1's ara-CTPase activity has recently been demonstrated to enhance ara -C ef fi cacy in acute myeloid leukemia. Here, we identify the transcription factor SRY-related HMGbox containing protein 11 (SOX11) as a novel direct binding partner and fi rst known endogenous inhibitor of SAMHD1. SOX11 is aberrantly expressed not only in mantle cell lymphoma (MCL), but also in some Burkitt lymphomas. Coimmunoprecipitation of SOX11 followed by mass spectrometry in MCL cell lines identi fi ed SAMHD1 as the top SOX11 interaction partner, which was validated by proximity ligation assay. In vitro, SAMHD1 bound to the HMG box of SOX11 with low-micromolar af fi nity. In situ crosslinking studies further indicated that SOX11-SAMHD1 binding resulted in a reduced tetramerization of SAMHD1. Functionally, expression of SOX11 inhibited SAMHD1 ara-CTPase activity in a dose-dependent manner resulting in ara -C sensitization in cell lines and in a SOX11-inducible mouse model of MCL. In SOX11-negative MCL, SOX11-mediated ara-CTPase inhibition could be mimicked by adding the recently identi fi ed SAMHD1 inhibitor hydroxyurea. Taken together, our results identify SOX11 as a novel SAMHD1 interaction partner and its fi rst known endogenous inhibitor with potentially important implications for clinical therapy strati fi cation.
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| 2. |
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| 3. |
- Babacic, Haris, et al.
(författare)
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Glioblastoma stem cells express non-canonical proteins and exclusive mesenchymal-like or non-mesenchymal-like protein signatures
- 2023
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Ingår i: Molecular Oncology. - : John Wiley & Sons. - 1574-7891 .- 1878-0261. ; 17:2, s. 238-260
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Tidskriftsartikel (refereegranskat)abstract
- Glioblastoma (GBM) cancer stem cells (GSCs) contribute to GBM's origin, recurrence, and resistance to treatment. However, the understanding of how mRNA expression patterns of GBM subtypes are reflected at global proteome level in GSCs is limited. To characterize protein expression in GSCs, we performed in-depth proteogenomic analysis of patient-derived GSCs by RNA-sequencing and mass-spectrometry. We quantified > 10 000 proteins in two independent GSC panels and propose a GSC-associated proteomic signature characterizing two distinct phenotypic conditions; one defined by proteins upregulated in proneural and classical GSCs (GPC-like), and another by proteins upregulated in mesenchymal GSCs (GM-like). The GM-like protein set in GBM tissue was associated with necrosis, recurrence, and worse overall survival. Through proteogenomics, we discovered 252 non-canonical peptides in the GSCs, i.e., protein sequences that are variant or derive from genome regions previously considered non-protein-coding, including variants of the heterogeneous ribonucleoproteins implicated in RNA splicing. In summary, GSCs express two protein sets that have an inverse association with clinical outcomes in GBM. The discovery of non-canonical protein sequences questions existing gene models and pinpoints new protein targets for research in GBM.
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| 4. |
- Boekel, Jorrit, et al.
(författare)
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Multi-omic data analysis using Galaxy
- 2015
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Ingår i: Nature Biotechnology. - : Springer Science and Business Media LLC. - 1087-0156 .- 1546-1696. ; 33:2, s. 137-9
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Tidskriftsartikel (refereegranskat)
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| 5. |
- Boström, Tove, et al.
(författare)
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Investigating the Applicability of Antibodies Generated within the Human Protein Atlas as Capture Agents in Immunoenrichment Coupled to Mass Spectrometry
- 2014
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Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 13:10, s. 4424-4435
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Tidskriftsartikel (refereegranskat)abstract
- For identification and characterization of proteins in complex samples, immunoenrichment coupled to mass spectrometry is a good alternative due to the sensitivity of the affinity enrichment and the specificity of mass spectrometry analysis. Antibodies are commonly used affinity agents; however, for high-throughput analysis, antibody availability is usually a bottleneck. Here we present a protocol for immunoenrichment coupled to mass spectrometry in a high-throughput setup, where all steps from bead coupling to mass spectrometry sample preparation are performed in parallel in a 96-well format. Antibodies generated within the Human Protein Atlas project were tested for applicability as capture agents. The antibodies were covalently attached to protein A beads, making it possible to reuse the coupled beads at least three times without destroying the antibody binding efficiency. Target proteins were captured from a U251 MG cell lysate, eluted, digested, and analyzed using mass spectrometry. Of 30 investigated antibodies, around 50% could successfully capture the corresponding native target protein, making the available library of more than 21 000 antibodies a valuable resource for immunoenrichment assays. Due to the diversity of different antibodies regarding affinity and specificity, analyzing antibodies in a high-throughput format is challenging. Even though protocol optimization for individual antibodies can be advantageous for future studies, our method enables a fast screening strategy to determine the usefulness of antibodies in immunoenrichment setups. In addition, we show that the specificity of the antibodies can be investigated by using label-free quantification.
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| 6. |
- Boström, Tove, et al.
(författare)
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Investigating the correlation of protein and mRNA levels in human cell lines using quantitative proteomics and transcriptomics
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- An important topic of discussion in proteomics is the degree of correlation of RNA and protein levels in cells, tissues and organs. In this study, the difference in protein and mRNA levels for a number of selected gene targets were investigated across six human cell lines using quantitative proteomics and next generation sequencing-based transcriptomics. The copy numbers of 32 proteins were determined using an absolute quantitative proteomics approach (PrEST-SILAC), where heavy isotope-labeled protein fragments were used as internal standards. A cross evaluation of protein copy numbers determined by mass spectrometry and staining profiles using immunohistochemistry showed good correlation. The mRNA levels were determined using RNA sequencing based on digital counting of sequencing reads and the levels determined as FPKM values. Comparison of the relative variations in mRNA and protein levels for individual genes across the six cell lines showed correlation between protein and mRNA levels, including six genes with high variability in expression levels in the six cell lines resulting in an average correlation of 0.9 (Spearman's rank coefficient). In summary, the analysis of the selected protein targets supports the conclusion that the translation rate across cell lines correlates for a particular gene, suggesting that individual protein levels can be predicted from the respective mRNA levels by defining the relation between protein and mRNA, specific for each human gene.
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| 7. |
- Branca, Rui M. M., et al.
(författare)
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HiRIEF LC-MSMS enables deep proteome coverage and unbiased proteogenomics
- 2014
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Ingår i: Nature Methods. - 1548-7091 .- 1548-7105. ; 11:1, s. 59-
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Tidskriftsartikel (refereegranskat)abstract
- We present a liquid chromatography-mass spectrometry (LC-MSMS)-based method permitting unbiased (gene prediction-independent) genome-wide discovery of protein-coding loci in higher eukaryotes. Using high-resolution isoelectric focusing (HiRIEF) at the peptide level in the 3.7-5.0 pH range and accurate peptide isoelectric point (pI) prediction, we probed the six-reading-frame translation of the human and mouse genomes and identified 98 and 52 previously undiscovered protein-coding loci, respectively. The method also enabled deep proteome coverage, identifying 13,078 human and 10,637 mouse proteins.
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| 8. |
- de Oliveira, Felipe Marques Souza
(författare)
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Development and Application of Proximity Assays for Proteome Analysis in Medicine
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Along with proteins, a myriad of different molecular biomarkers, such as post-translational modifications and autoantibodies, could be used in an attempt to improve disease detection and progression. In this thesis, I build on several iterations of the proximity ligation assay to develop and apply new adaptable methods to facilitate detection of proteins, autoantibodies and post-translational modifications.In paper I, we present an adaptation of the solid-phase proximity ligation assay (SP-PLA) for the detection of post-translational modification of proteins (PTMs). The assay was adapted for the detection of two of the most commons PTMs present in proteins, glycosylation and phosphorylation, offering the encouraging prospect of using detection of PTMs in a diagnostic or prognostic capacity. In paper II, we developed a variant of the proximity ligation assay using micro titer plate for detection and quantification of protein using optical density as readout in the fluorometer, termed PLARCA. With a detection limit considerably lower than ELISA, PLARCA detected femtomolar levels of these proteins in patient samples.In paper III, we aim to compare detection values of samples collected from earlobe capillary, venous plasma, as well as capillary plasma stored in dried plasma spots (DPS) assessed with a 92-plex inflammation panel using multiplex proximity extension assay (PEA). Despite the high variability in protein measurements between the three sample sources, we were able to conclude that earlobe capillary sampling is a suitable less invasive alternative, to venipuncture.In paper IV, we describe the application of PLARCA and proximity extension assay (PEA) for the detection of GAD65 autoantibodies (GADA). Thus, offering highly sensitive and specific autoimmunity detection.
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| 9. |
- De Petris, Luigi, et al.
(författare)
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Diagnostic and prognostic role of plasma levels of two forms of cytokeratin 18 in patients with non-small-cell lung cancer
- 2011
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Ingår i: European Journal of Cancer. - : Elsevier BV. - 0959-8049 .- 1879-0852. ; 47:1, s. 131-137
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE:Cytokeratin 18 (CK18) can be used as a serum biomarker for carcinoma cell death, whereas caspase-cleaved (ccCK18) fragments reflect tumour apoptosis. We explored the potential diagnostic and prognostic role of circulating CK18 and ccCK18 in patients with non-small-cell lung cancer (NSCLC) in comparison with Cyfra 21.1, a fragment of cytokeratin 19.METHODS:Subject cohorts consisted of 200 healthy blood donors (HBD), 113 patients with benign lung diseases (BLD) and 179 NSCLC cases. Plasma levels of ccCK18, total CK18 and Cyfra 21.1 were determined with ELISA assays.RESULTS:Plasma levels of ccCK18 and total CK18 were higher in the NSCLC group compared to the HBD and BLD cohorts (p<0.0001). Using a cut-off of 104 U/L for ccCK18 and 302 U/L for total CK18 (95% specificity in the HBD group) the diagnostic accuracy of both CK18 forms to distinguish between NSCLC and BLD cases was 56%, whereas it was 94% for Cyfra 21.1. Multivariate survival analysis showed that total CK18 was a stronger prognostic factor than both ccCK18 and Cyfra 21.1 (HR 0.64 for low versus high total CK18 levels, 95% confidence interval (CI) 0.50-0.82; p=0.0004) in the entire NSCLC cohort and in 78 patients with locally advanced or metastatic disease treated with chemoradiotherapy or first-line chemotherapy (HR 0.70 95% CI 0.52-0.94; p=0.018).CONCLUSIONS:Cyfra 21.1 is a useful diagnostic biomarker for NSCLC. Total CK18 shows a promising potential as prognostic marker in NSCLC patients, independently of the therapeutical intervention. In contrast, ccCK18 was not of prognostic value in NSCLC, suggesting that tumour necrosis is of particular importance in this disease.
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| 10. |
- Edfors, Fredrik, et al.
(författare)
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Immunoproteomics using polyclonal antibodies and stable isotope-labeled affinity-purified recombinant proteins
- 2014
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Ingår i: Molecular & Cellular Proteomics. - 1535-9476 .- 1535-9484. ; 13:6, s. 1611-1624
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Tidskriftsartikel (refereegranskat)abstract
- AThe combination of immuno-based methods and mass spectrometry detection has great potential in the field of quantitative proteomics. Here, we describe a new method (immuno-SILAC) for the absolute quantification of proteins in complex samples based on polyclonal antibodies and stable isotope-labeled recombinant protein fragments to allow affinity enrichment prior to mass spectrometry analysis and accurate quantification. We took advantage of the antibody resources publicly available from the Human Protein Atlas project covering more than 80% of all human protein-coding genes. Epitope mapping revealed that a majority of the polyclonal antibodies recognized multiple linear epitopes, and based on these results, a semi-automated method was developed for peptide enrichment using polyclonal antibodies immobilized on protein A-coated magnetic beads. A protocol based on the simultaneous multiplex capture of more than 40 protein targets showed that approximately half of the antibodies enriched at least one functional peptide detected in the subsequent mass spectrometry analysis. The approach was further developed to also generate quantitative data via the addition of heavy isotope-labeled recombinant protein fragment standards prior to trypsin digestion. Here, we show that we were able to use small amounts of antibodies (50 ng per target) in this manner for efficient multiplex analysis of quantitative levels of proteins in a human HeLa cell lysate. The results suggest that polyclonal antibodies generated via immunization of recombinant protein fragments could be used for the enrichment of target peptides to allow for rapid mass spectrometry analysis taking advantage of a substantial reduction in sample complexity. The possibility of building up a proteome-wide resource for immuno-SILAC assays based on publicly available antibody resources is discussed.
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