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1.
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Highlights
  • •Lectins and glycan-binding antibodies are valuable as probe of glycans.
  • •Advanced bioinformatics tools enable the mining of glycan-array data.
  • •New insights into protein-glycan interactions have value in biological research.
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2.
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Highlights
  • •Statistical approach for differential abundance analysis for proteomic experiments with TMT labeling.
  • •Applicable to large-scale experiments with complex or unbalanced design.
  • •An open-source R/Bioconductor package compatible with popular data processing tools.
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3.
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Highlights
  • •Highly parallelizable 4D feature detection in ion mobility enhanced shotgun proteomics.
  • •Multidimensional non-linear mass, retention time and ion mobility recalibration.
  • •Collision cross section aware matching between runs.
  • •Label-free quantification of ion mobility MS data.
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4.
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Highlights
  • •Co-elution stands out as a global interactome mapping method.
  • •Benefits include all-to-all protein analysis and measurement of interactome perturbations.
  • •Different separation, quantification and bioinformatic strategies are available.
  • •Design considerations depend largely on system under study.
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5.
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Highlights
  • •Automated statistical approach for detecting uninformative features and outliers.
  • •Improved performance on relative protein quantification.
  • •An option in the open-source R-based software MSstats.
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6.
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Highlights
  • •New comparative tool to assess the relevance of a glycan composition file to be used in a glycoproteomic study.
  • •User-friendly and web-based interface to explore glycoproteomics data.
  • •Detection of glycan compositional trends within and across protein(s) or tissues.
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7.
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Highlights
  • •Urinary peptide profiling of youths with type 1 diabetes before clinical injury.
  • •Internal validation of uromodulin peptides by parallel reaction monitoring.
  • •Discovery of novel bioactivity of uromodulin peptides in vitro.
  • In silico prediction of proteases involved in uromodulin processing.
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8.
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Highlights
  • •Acetylation sites on MERS-CoV protein pp1ab were reported for the first time.
  • •Sirt1 was predicted as upstream factor of identified acetylation events.
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9.
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Highlights
  • •Two molecular groups in anal squamous carcinoma according proteomic profile.
  • •Differences in possible targeted processes such as metabolism or immune response.
  • •Different percentage of tumor lymphocyte infiltration.
  • •Difference in the frequency of ATM variants, related to PPAR inhibitors.
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10.
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Highlights
  • •EGFR-TKI molecular response profiling covering 10138 proteins and 13486 mRNAs.
  • •EGFR-TKI combination therapy screen using a library of 528 compounds.
  • •Several new candidate EGFR-TKI escape mechanisms and combination therapy targets.
  • •Combined targeting of the oncogene BCL6 and EGFR results in synergy in NSCLC cells.
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11.
12.
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Highlights
  • •Brain membrane protein extraction.
  • •Protein prenylation.
  • •Prenyl peptide capture and characterization by LC-MS/MS.
  • •HCD and EThcD peptide fragmentation.
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13.
14.
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Highlights
  • •Changes in N-linked glycosylation in influenza A virus affect antigenicity of the virus.
  • •Glycosylation similarity can be quantified, even in heterogeneously glycosylated proteins.
  • •Glycosylation is measurably and site-specifically distinct in influenza from related strains.
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15.
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Highlights
  • •We demonstrate the use of open searching for the detection of atypical glycosylation in bacterial glycoproteomes.
  • •We show that although open searching is able to detect unique glycoforms it is less sensitive for the detection of multiply glycosylated peptides than focused searches.
  • •Using open search delta mass profiles, we demonstrate glycan use across bacterial glycoproteomes can be easily compared.
  • •For the Burkholderia genus we confirm the use of similar glycans for protein glycosylation yet also highlight that species specific glycans do exist.
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16.
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Highlights
  • •Guidelines for studying protein complexes via co-fractionation mass spectrometry.
  • •A novel procedure for profiling gold standard protein complexes in CF-MS data.
  • •Recommendations for efficient CF-MS fractionation collection.
  • •Scoring metric recommendations for precise and sensitive CF-MS data analysis.
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17.
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Highlights
  • •Summarize the development of functional protein microarray.
  • •Application of functional proteome microarray in basic research.
  • •Application of functional proteome microarray in translational research.
  • •Fabrication of functional membrane protein array using virion display method.
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18.
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Highlights
  • •DEqMS is a method for statistical analysis of quantitative MS-data.
  • •Variance estimates based on the actual MS-data structure.
  • •Improved statistical power and accuracy in protein differential analysis.
  • •DEqMS is available as a user-friendly R package in Bioconductor.
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19.
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Highlights
  • •Human spermatozoa possess cells of poor morphology that lack nuclear integrity.
  • •These cells can be isolated by density separation.
  • •Mass spectrometry reveals their nuclei contain excess protein.
  • •TOP2A is a promising marker of this poor nuclear development.
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20.
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Highlights
  • •Quantitative proteomes of chicken seminal plasma associated with sperm motility.
  • •High abundant acrosome and mitochondrial proteins were noted in LSM seminal plasma.
  • •Decreased total antioxidant capacity was highlighted in seminal plasma of LSM.
  • •Lack of membrane, acrosome and mitochondrial integrity and high ROS may induce LSM.
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