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1.
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Highlights
  • •TOP: robust, bio-friendly FFPE proteome extraction method with less fixation bias.
  • •Proteome of MSI-H colorectal cancer identifies immunobiology key elements.
  • •MSI-H tumor displays an “INFg-STAT1 centric signature”.
  • •Long-term IFNg induction In-vitro mimicks MSI-H signature.
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2.
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Highlights
  • •A broad-based interlaboratory study of the glycosylation of a reference antibody: NISTmAb.
  • •103 reports were received from 76 diverse laboratories worldwide.
  • •Analysis involved two samples, the NISTmAb and an enzymatically modified sample, enabling within-lab separation of random and systematic errors using the “Youden two-sample” method.
  • •Consensus values were derived and similar performance across all experimental methods was noted.
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3.
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Highlights
  • •Ectopic ATP synthase as a therapeutic target for gefitinib-resistant NSCLC.
  • •Multiomics uncovers the dynamic network in response to ecto-ATP synthase blockade.
  • •Ecto-ATP synthase blockade induces cytotoxicity by CK2/phospho-topo IIα/GAS5 axis.
  • •A positive feedforward circuit between phospho-topo IIα and lncRNA-GAS5.
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4.
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Highlights
  • •Global and targeted phosphoproteomics in RICTOR-deficient brown adipocytes.
  • •RICTOR loss leads to higher levels of many interferon response-associated proteins.
  • •RICTOR loss dampens the dynamic insulin-dependent phosphoproteome response.
  • •ACLY S455, VIM S39, and EIF4B S422 are among the most dampened phosphosites.
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5.
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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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6.
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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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7.
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Highlights
  • •MS-based clinical assay that accurately determines phospho Rab10 occupancy.
  • •Stable isotope labeled phosphopeptide injected as a standard with endogenous tryptic phospho Rab peptide for accurate ratio determination.
  • •Determination of pRab levels in neutrophils of Parkinson disease patients.
  • •Relevance of pRab levels as marker of PD.
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8.
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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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9.
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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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10.
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Highlights
  • •Mapping kinase-substrate relationships is vital in discovering new tuberculosis drug targets.
  • •LC-MS/MS-based phosphoproteomics expand mycobacterial STPK substrate catalogues.
  • •We review and integrate MS-generated datasets on novel candidate substrates.
  • •Validation studies are necessary to confirm true physiological substrates of STPKs.
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11.
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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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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
  • •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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14.
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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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15.
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Highlights
  • •In-depth proteomes of 4 SARS-CoV-2 cell line models (Vero E6, Calu-3, Caco-2, A549).
  • •Proteomic evidence for thousands of Chlorocebus sabaeus proteins.
  • •Proteomic response of Vero E6 cells to SARS-CoV-2 infection.
  • •Synthetic peptides, spectral libraries, and targeted assays for SARS-CoV-2 proteins.
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16.
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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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17.
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Highlights
  • •Flow cytometry analysis is used to isolate ASC speck(+) NPC cells.
  • •Proteome analysis of ASC speck(+) NPC cells reveals enriched mitochondrial OxPhos proteins.
  • •OxPhos proteins mediate NLRP3 inflammasome activation through mtROS.
  • •OxPhos proteins, NDUFB8 and ATP5B are correlated with NPC local recurrence.
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18.
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Highlights
  • •Liver Mallory-Denk-Body inducers elicited an IκBα-loss and NF-κB-activation.
  • •IκBα-loss was due to its sequestration into insoluble cytoplasmic aggregates.
  • •Four proteomic approaches identified 10 IκBα-interacting/aggregating proteins.
  • •Nup153/RanBP2-aggregation prevented IκBα nuclear entry for ending NF-κB-activation.
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19.
20.
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Highlights
  • •HuProt array-based identification of autoantigens in serum of early lung cancer.
  • •Independent validation of early lung cancer biomarker candidates with ELISA.
  • •Bioinformatics-aided identification of a biomarker panel.
  • •Independent verification of the panel with ELISA and immunohistochemistry.
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