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1.
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Highlights
  • •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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2.
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Highlights
  • •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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3.
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Highlights
  • •Atlantic salmon O-glycome expanded to 169 structures in three epithelia.
  • •Low interindividual variation amongst all populations and geographical regions.
  • •Small variations in glycosylation between geographical locations and fish size.
  • •Prominent fucosylation in gastrointestinal mucins from Tasmanian fish.
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4.
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Highlights
  • •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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5.
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Highlights
  • •Glycosylation is not currently considered in flu vaccine design.
  • •Glycosylation influences on immunodominance are not well understood.
  • •Identification of site-specific glycosylation using mass spectrometry has matured.
  • •New methods are needed to quantify site-specific glycosylation for vaccine design.
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6.
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Highlights
  • •Endogenous plasma/serum QC marker that quantifies cumulative sample thawed time.
  • •Mechanism of marker change known, and rate law established.
  • •Data interpretation based on documented population averages and rate law.
  • •Blind-challenge verified; utility proven via exposure of undisclosed freezer outage.
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7.
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Highlights
  • •HPV is being introduced as the primary test in cervical cancer screening programs.
  • •New biomarkers are needed for co-testing of women HPV positive in screening.
  • •Analysis of plasma from women with invasive cervical cancer identified a 11-marker panel.
  • •This signature shows high sensitivity and specificity to identify women with cancer.
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8.
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Highlights
  • •Quantitative changes in global proteome and ubiquitinome in Huntington's disease.
  • •Differential ubiquitination of wild-type and mutant Htt in mice brain.
  • •Enriched pathways include vesicle transport and mRNA processing.
  • •Correlation between protein and diGly site fold changes.
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9.
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Highlights
  • •Retention time shift can lead to inversion of elution order of peptides.
  • •Global alignment methods are suboptimal for alignment of distant runs.
  • •DIAlignR employs hybrid (global + local) RT alignment approach.
  • •DIAlignR can align swapped peaks accurately across distant runs.
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10.
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Highlights
  • •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.
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11.
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Highlights
  • •HLA-B*40:02 and ERAP2 are risk factors for ankylosing spondylitis.
  • •The effects of ERAP2 on the B*40:02 peptidome are defined.
  • •ERAP2 has a major influence mainly due to alterations of N-terminal residues.
  • •These effects provide a basis for the association of ERAP2 with disease.
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12.
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Highlights
  • •Over 1700 Arabidopsis proteins with thermal models in multiple replicates.
  • •Melting temperature correlates with 1°, 2°, and 3° protein characteristics.
  • •Ligand-induced thermal shifts are evident in complex protein extracts.
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13.
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Highlights
  • •Developed a data processing pipeline to format phosphopeptide identifications.
  • •Identified the preferred substrate motif for FLT3 and mutant kinases.
  • •Designed and validated a panel of pan-FTL3 artificial substrates.
  • •Monitored FLT3 and mutant kinase activity through FAStide phosphorylation.
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14.
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Highlights
  • •Quantitative (phospho)proteome analysis of antibiotic treatment in E. coli.
  • •Largest bacterial phosphorylation catalogue.
  • •Specific phosphorylation motifs changes during resistance development.
  • •Phosphorylation mediated signaling could be a potential target for drug design.
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15.
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Highlights
  • •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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16.
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Highlights
  • •HLA-B*51 and ERAP1, but not ERAP2, are risk factors for Behçet's disease.
  • •The HLA-B*51 peptidome and the effects of ERAP1 and ERAP2 on it are analyzed.
  • •ERAP1 and ERAP2 alter multiple features of the HLA-B*51 peptidome in distinct ways.
  • •Both enzymes act independently with complementary and partially redundant functions.
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17.
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Highlights
  • •Rapamycin and zinc induce moderate but significant mitochondrial proteome changes.
  • •The mitochondrial proteins processing system is robust under subtoxic conditions.
  • •Rapamycin and zinc perturb the mitochondrial proteins processing system.
  • •Rapamycin and zinc perturb the mitochondrial proteins homeostasis.
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18.
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Highlights
  • •BioID with Golgi fractions identified C10orf76 as proximal to GBF1.
  • •Tagged C10orf76 overlaps with Golgi markers.
  • •C10orf76 binds GBF1 and exchanges rapidly between free and bound forms.
  • •C10orf76 is essential for maintenance of the Golgi and for secretion.
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19.
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Highlights
  • •Efficient sample preparation workflow for deep N-glycomics analysis from serum.
  • •Temperature gradient denaturing protocol to prevent protein precipitation.
  • •Decrease of free sugar content in serum enhanced PNGase F digestion efficiency.
  • •Modified evaporative labeling method increased fluorophore labeling yield.
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20.
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Highlights
  • •Enrichment of methyl peptides using two orthogonal techniques.
  • •Knockdown of PRMT1 leads to substantial changes in protein arginine “methylome”.
  • •Discrimination of ADMA and SDMA using characteristic neutral losses.
  • •Identification of PRMT1 targets and substrate scavenged by other PRMTs in the absence of PRMT1 activity.
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