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1.
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Highlights
  • •Curation of 2066 phosphorylated HLA class I peptides from immunopeptidomics data.
  • •Determination of 22 HLA class I binding motifs for phosphorylated peptides.
  • •Observation of a higher frequency of phosphorylated ligands binding HLA-C molecules.
  • •Development of a predictor of phosphorylated peptide interactions with HLA class I.
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2.
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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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3.
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Highlights
  • •Higher AGC significantly improves quantitation quality in single-cell analysis.
  • •The boosting-to-sample ratio should be carefully evaluated and optimized.
  • •iBASIL allows for precise quantitation of 1,500 proteins from 104 AML single cells.
  • •iBASIL recapitulates major biological differences in different AML single cells.
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4.
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Highlights
  • •Repeatable quantification of 200 proteins in dried blood spots.
  • •Determined lower limit of quantification, repeatability, parallelism and stability.
  • •Protein stability in DBS stored at ambient temperatures for up to 2 months.
  • •Concentration ranges for 200 proteins in 20 healthy individuals.
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5.
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Highlights
  • •Urinary proteomes of patients with recurrent UTI, renal scarring, and VUR.
  • •80 proteins differentially expressed, compared to healthy controls.
  • •62 proteins may be indicative of susceptibility for UTI.
  • •Altered acute phase response, extracellular matrix and carbohydrate metabolism.
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6.
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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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7.
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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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8.
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Highlights
  • •Rapid DIA-only library building with gas-phase fractionation.
  • •Recommended DIA acquisition strategies with staggered windows and forbidden zones.
  • •Optimized DIA instrument settings for several Thermo Orbitrap instruments.
  • •Data analysis tutorial using open source DIA software.
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9.
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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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10.
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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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11.
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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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12.
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Highlights
  • •Quantitative proteomics of isolated lysosomes, autophagosomes and proteasomes.
  • •Pharmacological inhibition of proteasomes leads to their accumulation within lysosomes.
  • •Inhibition of classical autophagy pathways cannot completely block this process.
  • •Known autophagy adaptor proteins are not involved.
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13.
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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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14.
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Highlights
  • •cGAS acetylations and phosphorylations under basal and immune-stimulated states.
  • •K384 and K414 acetylations and S305 phosphorylation inhibit cGAS-mediated apoptosis.
  • •Acetylation at K198 stimulates cGAS-dependent interferon signaling.
  • •K198 acetylation is decreased upon herpesvirus infection.
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15.
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Highlights
  • P. aeruginosa grown with exosiderophores and analyzed by proteomic and RT-qPCR.
  • •Catechol-type exosiderophores strongly induce the expression of their transporters.
  • •Repression of the endogenous iron uptake pathways.
  • •Complex phenotypic plasticity in the expression of the various iron-uptake pathways.
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16.
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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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17.
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Highlights
  • •Acute inhibition of growth-regulatory AGC-kinases Sch9, PKA and Ypk1.
  • •Phospho-proteomic profiling of 6373 phsopho-sites.
  • •Ypk1 regulates phospho-sites in RRxS/T-context and functionally overlaps with PKA.
  • •Ypk1 and PKA activate trehalase activity of Nth1.
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18.
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Highlights
  • •BioID reveals the proximity partners of RSK family members.
  • •All RSK isoforms associate with and phosphorylate p120ctn on Ser320.
  • •RSK negatively regulates adherens junctions and reduces cell-cell adhesion.
  • •p120ctn phosphorylation plays a role in the reorganization of proximity partners.
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19.
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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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20.
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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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