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1.
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Highlights
  • •Microvesicle proteomics of 187 utero-tubal lavage samples for early diagnosis of HGOC.
  • •Machine learning-based classification of a 9-protein signature with high predictive power.
  • •Signature has 70‥ sensitivity and 76.2‥ specificity, predicting stage I lesions.
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2.
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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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3.
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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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4.
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Highlights
  • •Construction of threespine stickleback gill assay library using DDA proteomics
  • •Population-specific gill proteome signatures of four ecotypes identified by DIA
  • •HSP47 and extracellular matrix proteins highly elevated in warm-adapted sticklebacks
  • •Inflammasome and proteolytic proteins highly elevated in freshwater sticklebacks
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5.
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Highlights
  • •Support for mass spectrometry-based proteomics in cBioPortal.
  • •User-friendly web interface, a web API, and an R client to query proteogenomic data.
  • •Integration of Clinical Proteomics Tumor Analysis Consortium data with cBioPortal.
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6.
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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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7.
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Highlights
  • •Changes to the proteome of skin fibroblasts subjected to reductive stress have been quantitated.
  • •Only a small set of proteins is selectively diminished upon exposure to reductants.
  • •Collagens (COL1A2 and COL6A2) emerge as sentinels of reductive stress.
  • •Reductive stress triggers receptor-independent Akt phosphorylation at Ser473.
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8.
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Highlights
  • •BioID and IP-MS were conducted to generate a global ZIKV-host protein interactome
  • •Interactome consists of >3000 high confidence ZIKV-host protein interactions
  • •Data mining indicates that ZIKV proteins interact with multiple host cell organelles
  • •An important role for peroxisomes in ZIKV infection is uncovered
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9.
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Highlights
  • •First global study on laryngeal cells cultured with cigarette smoke enriched medium.
  • •Vocal fold fibroblasts increased production of ECM component hyaluronan.
  • •Expression of several fibrillar collagens was reduced.
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10.
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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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11.
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Highlights
  • •Rigorous experimental design and data analysis for large-scale SRM studies.
  • •Plasma-based biomarker signature combined with CA125 for ovarian cancer detection.
  • •Broadly applicable strategy for the development of diagnostic biomarker assays.
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12.
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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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13.
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Highlights
  • •A global lysine succinylome was investigated in A. hydrophila.
  • •The lysine succinylation modifications play crucial role on various metabolic pathways.
  • •Reversible succinylation on Lys23 and Lys30 regulates the activity of S-ribosylhomocysteine lyase LuxS.
  • •Lysine succinylation modifications of LuxS affect quorum sensing and metabolism.
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14.
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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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15.
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Highlights
  • •Temporal proteome profiling of lipotoxicity and glucolipotoxicity in β-cells
  • •Palmitate induced cholesterol metabolism earlier than fatty acid metabolism
  • •Setd8 promotes palmitate + glucose-stimulated INS-1 cell proliferation
  • •PA induced apoptosis partially via upregulation of Rhob in INS-1 cells
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16.
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Highlights
  • •PTMiner software for intelligent post-processing of open-search results.
  • •Unrestrictive modification site localization based on a Bayesian model.
  • •Extended transfer FDR estimation for accurate grouped FDR estimation.
  • •Comprehensive PTM characterization in a draft map of human proteome.
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17.
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Highlights
  • •Proteomic analysis of cerebrospinal fluid and identification of synaptic component.
  • •Use of super resolution microscopy to verify synapse-specificity in human tissue.
  • •Selective reaction monitoring MS (SRM) of synaptic panel in 3 cohorts of Alzheimer's disease cerebrospinal fluid.
  • •Synaptic protein changes precede tau in preclinical Alzheimer's disease.
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18.
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Highlights
  • •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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19.
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Highlights
  • •Spatiotemporal microproteomics analysis of TBI.
  • •Injury site microproteomics reveal distinct phases in 10-day frame post TBI.
  • •Uninjured proteomic profile is restored in TBI at 10 days post injury.
  • Substantia nigra protein post 3 days suggest link to Parkinson's disease.
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20.
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Highlights
  • •Shotgun identification of neopeptides released from osteoarthritic cartilage.
  • •Specific endogenous peptides from the cartilage ECM are measured by MRM.
  • •Identification of neopeptides differentially generated from diseased tissue.
  • •The peptide DSNKIETIPN shows the best metrics as biomarker of OA cartilage.
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