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1.
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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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2.
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Highlights
  • •Provision of data generated on the basis of a gold standard spike-in sample set.
  • •Choice of spectral library has great impact on identification and quantification.
  • •DIA is superior to DDA in quantification reproducibility, specificity and accuracy.
  • •DIA outperforms DDA in the quantification of low protein amounts.
  • •Quantification on peptide level is generally preferable.
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3.
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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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4.
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Highlights
  • •Mechanistic insights into ionic liquids and proteins at molecular level.
  • •Extractants prescreen for proteome analysis with MD simulation system.
  • •A loss-less sample preparation method developed for in-depth proteome profiling.
  • •Over 3,300 proteins were confidently identified from 1,000 HeLa cells in a 1 h run.
  • •Label-free quantitative proteome analysis of human liver cancer tissues.
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5.
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Highlights
  • •Immunopeptidomics bears the potential to link diseases to antigen representation.
  • •We suggest to achieve this by analyzing the immunopeptidomes of cohorts of patients.
  • •Current mass spectrometry-based techniques to analyze immunopeptidomes are described.
  • •We term the proposed approach “Immunopeptidome-wide association studies” (IWAS).
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6.
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Highlights
  • •Label-free and dimethyl labeling MS analysis of 6 RBPs from Drosophila ovaries.
  • •Functionally related RBPs show overlapping proteomes.
  • •Selective co-purification of splicing factors and translational regulators.
  • •Validation of 26 novel interactions by co-immunoprecipitation.
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7.
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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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8.
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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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9.
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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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10.
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Highlights
  • •Quantitative proteomics and machine learning to study plasma biomarkers in HCM.
  • •Six peptides are increased in plasma of LVH+ HCM compared to controls.
  • •Peptide biomarkers correlate with imaging markers of phenotype severity.
  • •Peptide biomarkers correlate with the estimated sudden cardiac death risk.
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11.
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Highlights
  • •Integrated phosphoproteomics and analyses of newly synthesized proteins in neurons.
  • •Resource of temporal mGluR-induced signaling pathways upon DHPG stimulation.
  • •Validation of PKC, MAPK1, CAMKIIa, and CDK2 in mGluR-activation and signaling.
  • •Validation of Intersectin-1 in DHPG-induced AMPAR internalization.
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12.
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Highlights
  • •Comprehensive molecular profiling of cutaneous and cerebellar metastasis variants.
  • •Identification of differentially regulated metastasis-associated molecules.
  • •Evidence for individually distinct patterns of metastasis-associated molecules.
  • •Highlighting the evident need for establishing meta-analyses strategies.
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13.
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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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14.
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Highlights
  • •Cecal Ligation Puncture (CLP) mouse model to study sepsis-induced kidney disease.
  • •Quantitative global proteome and phosphoproteome profiling of mouse kidneys.
  • •Highly significant candidate markers for onset and progression of AKI to CKD.
  • •Mechanistic insights into sepsis-associated kidney injuries.
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15.
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Highlights
  • •Mitochondrial heart N terminome shows aminopeptidase processing after MTS cleavage.
  • •CLPP-deficiency alters protein processing patterns in mouse heart mitochondria.
  • •Candidate substrates identified by N termini accumulation and interaction with inactive ClpXP.
  • •UQCRC1, HSPA9 and OAT validated biochemically as high confidence ClpXP substrates.
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16.
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Highlights
  • •Signaling networks can be highly heterogeneous across cells in a tissue.
  • •Various technologies allow analyzing signaling networks at single-cell resolution.
  • •The advantages and limitations of each single-cell approach are summarized.
  • •Confounding factors in single-cell signaling network analysis are discussed.
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17.
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Highlights
  • •PRMT5 glutathionylation is increased in aged mice or under oxidative stress.
  • •Deglutathionylation of PRMT5 is catalyzed by glutaredoxin-1.
  • •PRMT5 glutathionylation decreases its methyltransferase activity.
  • •PRMT5 glutathionylation results in G2/M arrest and inhibits cell proliferation.
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18.
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Highlights
  • •Novel statistical test combining missingness and quantitative profiles.
  • •Unification of different statistical tests into a PolySTest FDR provides higher robustness and confidence.
  • •PolySTest provides higher coverage of relevant biological pathways.
  • •User-friendly interactive web service for statistical analysis and visualization.
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19.
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Highlights
  • •Sufficient tumor tissues are often unavailable large HLA peptidome discovery.
  • •Using patient derived xenograft (PDX) tumors can overcome this limitation.
  • •The large PDX HLA peptidomes expand significantly those of the original biopsies.
  • •The HLA peptidomes of the PDX tumors included many tumor antigens.
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20.
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Highlights
  • •N-glycan patterns are distinct in pediatric and adult urine.
  • •Sex differences of N-glycans are much larger in adults.
  • •Pediatric urine has almost no sex differences in N-glycan levels.
  • •In adults, the majority of N-glycans were more abundant in males.
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