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《Molecular & cellular proteomics : MCP》2019,18(2):231-244
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- •OMICS distinguish cancer cells from resistant or cancer stem cells.
- •Bactericidal antibiotics and mitochondria.
- •Linezolid and anticancer therapy.
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《Molecular & cellular proteomics : MCP》2019,18(2):372-382
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- •Surface loops play an essential role in SH2 domain specificity.
- •Diverse specificities may be obtained from a single SH2 domain by combinatorial mutations in the EF and BG loops.
- •The specificity of a loop mutant correlates with the sequence characteristics of the bait peptide used in its isolation.
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《Molecular & cellular proteomics : MCP》2018,17(12):2387-2401
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- •Novel PTMs detected in native yeast exosome, RNA polymerase II and proteasome.
- •MD based approach outperforms published tools in predicting PTMs stability effect.
- •Dynamical approach reveals long range effects of PTMs on subunits binding.
- •Acetylations may have a role in local stabilization of protein complex formation.
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《Molecular & cellular proteomics : MCP》2019,18(6):1157-1170
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- •Auxin responsive proteins in Arabidopsis roots were identified from 3,514 detected proteins.
- •All six auxin receptors are stable in response to hormone via novel MRM assays.
- •The >100 differentially expressed proteins exhibit dynamic and transient responses to auxin.
- •Phenotypic screening of the top responsive proteins uncovered several novel root mutants.
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《Molecular & cellular proteomics : MCP》2019,18(5):936-953
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- •In-depth proteome profiling of primary human myeloma cells
- •Characteristics of myeloma cells are related to hypoxic bone marrow conditions
- •Myeloma cells show specific immune evasion strategies
- •Metabolic adaptations involve tumor and stroma cells
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《Molecular & cellular proteomics : MCP》2019,18(12):2516-2523
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- •Open source software for comprehensive HDX-MS data analysis.
- •Automatic back-exchange correction options.
- •Rigorous statistical analysis of the significance of uptake differences.
- •High quality visualization tools.
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《Molecular & cellular proteomics : MCP》2019,18(5):892-908
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- •Interplay of epithelial cells and internalized S. aureus was dissected over 96 h.
- •Surviving host cells contain nonreplicating bacteria that persists in the cytoplasm.
- •Competition over resources triggers temporal metabolic changes.
- •Metabolic adaptation of host and bacteria determines the outcome of infection.
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《Molecular & cellular proteomics : MCP》2018,17(12):2508-2517
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- •Selective release of IgG Fc glycans in crude serum by endoglycosidase S.
- •CE-LIF-based measurements of IgG undergalactosylation levels (UGS).
- •UGS as a biomarker: Stratification of non-alcoholic steatohepatitis patients and controls.
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《Molecular & cellular proteomics : MCP》2019,18(8):1479-1490
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- •Frequent genetic polymorphism affects the glycosylation pattern of fetuin.
- •Personalized in-depth proteoform profiling of fetuin purified from 20 donors.
- •Classification of serum donors into three different genotypes.
- •Septic patients show increased level of fucosylation at N-glycolation site N176.
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《Molecular & cellular proteomics : MCP》2019,18(10):1981-2002
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- •R-10G is a mono-sulfated glycan antigen of human iPS and ES cells on podocalyxin.
- •R-10G and nonsulfated i are reciprocal antigens on type 2 glycan backbones.
- •TRA-1–60 and -81 and FC10.2 are antigens expressed on unsulfated type 1 backbones.
- •These assignments open the way to probing their roles in podocalyxin-signaling.
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《Molecular & cellular proteomics : MCP》2019,18(4):796-805
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- •To correctly estimate FDR, search context should be considered.
- •FDR is computed at the molecular level reported; e.g., proteoform or protein.
- •Failure to correctly estimate FDR results in >20-fold errors for the data we studied.
- •TDCD_FDR_Calculator is a free tool providing accurate, conservative FDR estimation.
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《Molecular & cellular proteomics : MCP》2019,18(7):1410-1427
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- •Quantitative (phoshpo)proteome of primary cell cultures of patient-matched prostate CAF and NPF.
- •Key CAF-associated proteins validated using orthogonal methodologies.
- •LOXL2 inhibitors D-penicillamine and PXS-S2A impaired CAF migration and ECM alignment.
- •Pre-treatment with LOXL2 inhibitors impaired migratory capacity of RWPE-2 cells in co-culture.
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《Molecular & cellular proteomics : MCP》2019,18(4):669-685
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- •quantitative phosphoproteome analysis of TDM-activated macrophages.
- •distinct Mincle-dependent and independent phosphorylation and gene regulations.
- •Mincle-dependent activation of PI3K/AKT signaling by TDM.
- •Mincle-independent macrophage response is linked to cell cycle regulation.
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《Molecular & cellular proteomics : MCP》2018,17(12):2412-2433
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- •Proteogenomics and secretome comparison of human and zoonotic Staphylococcus aureus lineages.
- •869 secreted proteins identified in eight S. aureus isolates of CC8, CC22 and CC398.
- •CC398 lower secretion of surface proteins and higher secretion of hemolysins and exoenzymes.
- •Regulatory differences in the secretomes could be linked to lower SigB activity in CC398.
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《Molecular & cellular proteomics : MCP》2019,18(5):982-994
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- •MaxQuant.Live controls Orbitrap mass analyzers in real-time.
- •Freely available apps enable advanced data acquisition strategies.
- •On-the-fly mass, retention time and intensity recalibration.
- •Global targeting unifies shotgun and targeted proteomics.
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《Molecular & cellular proteomics : MCP》2018,17(12):2518-2533
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- •Chromobodies are stabilized by antigen binding in live cells.
- •Monitoring changes of endogenous protein levels in living cells with chromobodies.
- •Broadly applicable system to generate turnover-accelerated chromobodies.
- •Quantification of time- and dose-dependent compound effects.
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《Molecular & cellular proteomics : MCP》2019,18(5):954-967
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- •Two-step cross-linking coupled with affinity purification to facilitate structural analysis of protein complexes.
- •Integrated QXL-MS workflow for studying condition-dependent structural changes of protein complexes.
- •Mechanistic insights on in vivo H2O2-induced conformational dynamics of proteasome complexes.
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《Molecular & cellular proteomics : MCP》2019,18(9):1796-1806
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- •iTRAQ-based analysis of saliva samples from oral cancer patients.
- •Proteome profiling of saliva samples from patients with oral premalignant lesions.
- •Verification of salivary biomarker candidates with MRM-MS and immunoassays.
- •Identification of salivary proteins as potential biomarkers of oral cancer.