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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
  • •Used affinity-enrichable, isotopically coded, and MS-cleavable crosslinker.
  • •Targeted acquisition strategy based on isotopic-coding described and evaluated.
  • •Novel data analysis pipeline developed provides improved crosslink identification.
  • •Large dataset reveals hundreds of mitochondrial protein-protein interactions.
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3.
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Highlights
  • •During sperm capacitation, 6 proteins become de-silyated, whilst one becomes silyated.
  • •Loss of sialylated from Endothelial lipase results in reduction of activity.
  • •Silyation of N612 on Aconitase causes loss of activity.
  • •Silyation of Aconitase may explain the switch from oxidative phosphorylation to glycolysis during capacitation.
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4.
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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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5.
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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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6.
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Highlights
  • •In-depth profiling of the serum proteome in early-stage COVID-19 patients.
  • •A landscape of inflammation and immune signaling related to the SARS-CoV-2 infection.
  • •CCL2 and CXCL10 medicated cytokine signaling pathways may correlate with neutrophil and lymphocyte respectively.
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7.
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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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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
  • •Several proteins were found to be unique to each male type.
  • •Expression levels of seven proteins trended downward in teratospermic males.
  • •Several proteins were related to sperm motility and subsequent oocyte binding.
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10.
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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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11.
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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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12.
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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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13.
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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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14.
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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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15.
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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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16.
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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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17.
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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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18.
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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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19.
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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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20.
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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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