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1.
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Highlights
  • •Cross-linked peptides are physically separated from mono-linked peptides in the gas-phase by TIMS ion mobility.
  • •Development of a novel data acquisition routine that a-priori distinguishes cross-linked from mono-linked peptides called caps-PASEF.
  • •First application of PhoX-driven cross-linking mass spectrometry on the timsTOF Pro.
  • •Application of cross-linking mass spectrometry to medium to high complexity samples.
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2.
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Highlights
  • •New quality assessment metrics to evaluate proteome-wide cross-linking mass spectrometry (XL-MS) data sets.
  • •New “MS3-centric” cross-link search engine named MaXLinker with high sensitivity and specificity.
  • •More than 9300 cross-links from our human proteome-wide XL-MS study.
  • •Orthogonal experimental validation of novel interactions identified in our study.
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3.
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Highlights
  • •Label-free and isobaric labeling approaches for in-depth profiling of single cells.
  • •Miniaturization and simplification of sample processing reduce surface losses.
  • •Nanoflow separations enhance ionization efficiency and reduced chemical noise.
  • •Ultrasensitive mass spectrometry and gas-phase separation add selectivity.
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4.
5.
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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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6.
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Highlights
  • •ProAlanase is a powerful protease for efficient low pH disulfide bond mapping.
  • •High suitability for analysis of histone family members and their PTMs.
  • •Accurate phosphorylation profiling in proline-rich proteins.
  • •Sequence coverage increase and full de novo sequencing in combination with trypsin.
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7.
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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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8.
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Highlights
  • •Salivary secretion was increased by mouth rinsing with TRP channel agonists.
  • •The salivary proteome varied over time and was changed by TRP channel stimulation.
  • •Immunoreactive Cystatin S was increased in saliva after TRPV1 stimulation.
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9.
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Highlights
  • •Organelle profiling maps capture localizations of 1000s of proteins in one experiment.
  • •Comparing maps +/− perturbation reveals disease mechanisms & cellular responses.
  • •A conceptual guide to planning and interpreting organellar profiling experiments.
  • •A cross-study consensus set of human organellar marker proteins.
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10.
11.
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Highlights
  • •XL-MS reveals new PPIs in yeast mitochondria under glycerol and glucose condition.
  • •Significant but limited results from quantitative XL-MS experiments.
  • •Ndi1 participates in a CIII2CIV2 respiratory supercomplex.
  • •Min8 promotes assembly of Cox12 into an intermediate complex IV.
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12.
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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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13.
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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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14.
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Highlights
  • •All six binding sites in PANWT are occupied by ADP- or ATP-type nucleotides.
  • •PANKA Walker A mutant substoichiometrically binds ATP- but not ADP-type nucleotides.
  • •PAN hexamer dissociation of the solution origin characteristics was observed in MS.
  • •We posit that the PAN hexamer dissociation proceeds within the ESI droplets.
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15.
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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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16.
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Highlights
  • •Future proteomic analyses for longitudinal studies and P4 medicine arguably require ≥1M samples/day.
  • •Proteome depth/coverage is commonly the focus whereas analytical speed is typically neglected.
  • •A compromise between analytical depth and speed is needed for future large-scale studies.
  • •Ultrahigh-speed ‘omic’ analyses require tools that are intrinsically fast such as laser-based MS.
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17.
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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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18.
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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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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
  • •Generation using BioID of a map of the Kir2.1 interactome with 218 interactions.
  • •Identification of Kir2.1WT- versus Kir2.1Δ314-315-preferred interactors.
  • •Identification of the desmosome protein PKP4 as a new modulator of IKir2.1 currents.
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