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1.
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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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2.
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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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3.
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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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4.
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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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5.
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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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6.
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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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7.
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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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8.
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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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9.
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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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10.
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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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11.
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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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12.
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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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13.
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Highlights
  • •Rapid identification of bacteria by LC-MS1 and in silico databases.
  • •Pattern analysis-based strategy for identifying bacteria by experimental LC-MS1 data.
  • •Compilation of an in silico database of taxon-specific tryptic peptide mass profiles.
  • •Tests of the identification pipeline with LC-MS1 data from bacteria.
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14.
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Highlights
  • •Detection of low-abundance phosphotyrosine-containing peptides is challenging.
  • •Multiplexed TMT allows inclusion of modification(pTyr)-saturated boost channels.
  • •Boost channels facilitate selection of pTyr precursor ions for fragmentation.
  • •Quantitation depth is increased while maintaining accuracy and precision.
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15.
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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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16.
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Highlights
  • •Activity based serine hydrolase profiles in 11 fractions along the murine small intestine.
  • •AADAC and Ces2e activity profiles correlate with chylomicron secretion.
  • •Ces2e shows the highest activity based enrichment in the entire small intestine.
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17.
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Highlights
  • •MSFragger now supports raw timsTOF PASEF data.
  • •IonQuant performs fast and accurate feature detection and quantification.
  • •MSFragger and IonQuant provide excellent performance for timsTOF PASEF data.
  • •Flexibility allows for complex analyses, such as semi-enzymatic and open search.
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18.
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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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19.
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Highlights
  • •Quantitative mass spectrometric method to monitor PTM stability.
  • •Pulse labeling reveals dehydroxylation of several asparagine hydroxylation sites.
  • •Reversal of TNKS2, TRPV3 and HIF1a asparagine hydroxylation sites.
  • •Protein dehydroxylation is an additional level of control for cellular signaling networks.
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20.
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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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