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1.
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Highlights
  • •HLA-B*51 and ERAP1, but not ERAP2, are risk factors for Behçet's disease.
  • •The HLA-B*51 peptidome and the effects of ERAP1 and ERAP2 on it are analyzed.
  • •ERAP1 and ERAP2 alter multiple features of the HLA-B*51 peptidome in distinct ways.
  • •Both enzymes act independently with complementary and partially redundant functions.
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2.
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Highlights
  • •HLA-B*27:05 and ERAP2 are risk factors for ankylosing spondylitis.
  • •The effects of ERAP2 on the B*27:05 ligandome are defined.
  • •P1, P2, P3, P7, and PΩ peptide positions are influenced by ERAP2.
  • •These effects provide a basis for the association of ERAP2 with the autoimmune disease.
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3.
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Highlights
  • •Open source software for comprehensive HDX-MS data analysis.
  • •Automatic back-exchange correction options.
  • •Rigorous statistical analysis of the significance of uptake differences.
  • •High quality visualization tools.
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4.
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Highlights
  • •In-depth proteome profiling of primary human myeloma cells
  • •Characteristics of myeloma cells are related to hypoxic bone marrow conditions
  • •Myeloma cells show specific immune evasion strategies
  • •Metabolic adaptations involve tumor and stroma cells
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5.
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Highlights
  • •Fast and simple capillary column packing protocol.
  • •Low-pressure packing at <100 bars from ultrahigh sorbent suspension concentration.
  • •Sorbent particle aggregation leading to blocking of the column entrance is avoided.
  • •Effective for long capillary UHPLC column packing with a wide range of sorbents.
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6.
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Highlights
  • •A novel HLA-ABC-triple knockout cell model to study the HLA-B*51 peptidome.
  • •Enrichment of the unconventional non-Pro/Ala2 HLA-B*51 peptides following ERAP1 silencing.
  • •Knockdown of ERAP1 increases the length of non-Pro/Ala2 and Ala2 peptides, not that of Pro2.
  • •ERAP1 regulation of HLA-B*51 cell surface expression is cell type dependent.
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7.
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Highlights
  • •Characterization of the phagosomal proteome comparing resting and LPS-treated BMDCs.
  • •Label-free quantification determined 2843 phagosomal proteins.
  • •Reduced recruitment of hydrolases and V-ATPase to phagosomes of LPS-treated cells.
  • •Increased recruitment of antigen cross-presentation molecules to these phagosomes.
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8.
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Highlights
  • •Efficient sample preparation workflow for deep N-glycomics analysis from serum.
  • •Temperature gradient denaturing protocol to prevent protein precipitation.
  • •Decrease of free sugar content in serum enhanced PNGase F digestion efficiency.
  • •Modified evaporative labeling method increased fluorophore labeling yield.
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9.
10.
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Highlights
  • •Comparing proteolytic digestions and precursor fragmentation methods for MS of ADPr
  • •Identification of 11,265 unique ADPr-modified peptides
  • •Mapping of hundreds of peptides co-modified by phosphorylation and ADPr
  • •ADPr modification of specific residue types displays spatial preferences
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11.
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Highlights
  • •Three novel Conodipines P1-3 in the injected venom of Conus purpurascens.
  • •Conodipines P1-3 have consensus catalytic characteristics of sPLA2.
  • •We determined multiple modification sites in Conodipines P1-3.
  • •Evaluated the activity of Conohyal-P1 by a MS-based method.
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12.
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Highlights
  • •Interplay of epithelial cells and internalized S. aureus was dissected over 96 h.
  • •Surviving host cells contain nonreplicating bacteria that persists in the cytoplasm.
  • •Competition over resources triggers temporal metabolic changes.
  • •Metabolic adaptation of host and bacteria determines the outcome of infection.
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13.
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Highlights
  • •MS-based method to detect native arginine-GlcNAcylation during Salmonella infection.
  • •Demonstration that SseK1 targets TRADD, whereas SseK3 targets the death receptors, TNFR1 and TRAILR.
  • •Evidence that effector overexpression results in misleading identification of host targets.
  • •Crystal structure of SseK3.
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14.
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Highlights
  • •Insoluble protein aggregates preferentially precipitate on microparticles.
  • •The protein aggregation capture (PAC) occurs irrespective of microparticle surface chemistry.
  • •This process can be exploited for multi-purpose proteomics sample preparation.
  • •Facilitates potential for low cost, efficient and high-sensitivity proteomics workflows.
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15.
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Highlights
  • •Method for the analysis of response curves from thermal proteome profiling (TPP).
  • •NPARC uses nonparametric statistics and provides false discovery-rate (FDR) control.
  • •Increased proteome coverage and sensitivity to identify drug-binding proteins.
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16.
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Highlights
  • •Fast and culture-free method for the identification of the 15 bacterial species causing UTIs.
  • •Combination of DIA analysis and machine learning algorithms to define a peptide signature.
  • •High accuracy, good linearity and reproducibility, sensitivity below standard threshold.
  • •Transferability to other laboratories and other mass spectrometers.
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17.
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Highlights
  • •Reported proteasomal spliced HLA peptides do not fit the consensus binding motifs.
  • •Their MS/MS spectrum matches suggest that many of them are ambiguous.
  • •Our workflow is based on de novo sequencing, alignment, and multiple search tools.
  • •The upper bound proportion of cis-spliced peptides is 2–6% and likely much smaller.
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18.
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Highlights
  • •Characterized the peptides involved in migraine and opioid-induced hyperalgesia (OIH).
  • •Identified more than 1500 peptides in seven nervous system regions.
  • •Discovered seven peptides significantly changed with migraine and nine with OIH.
  • •Validated PACAP involvement in both conditions via pharmacological studies.
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19.
20.
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Highlights
  • •Insulin Affects the Phosphorylation of G2L1, MARK2, CLIP2, EB1, AGAP3, and CKAP5.
  • •Insulin Increases CLASP2 +TIP Density and Decreases CLASP2 +TIP Velocity.
  • •Insulin Stimulates CLASP2 and G2L1 Trailing Along Microtubules.
  • •Insulin Stimulates α-Tubulin Acetylation at Lysine 40 and Microtubule Stabilization.
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