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1.
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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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2.
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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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3.
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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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4.
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Highlights
  • •SILAC-based protein quantification of OA hBMSCs undergoing chondrogenesis.
  • •Spatially-resolved metabolomics by MSI of hBMSCs in chondrogenic differentiation.
  • •Differential metabolic pathways involved in OA compared to control hBMSCs.
  • •UDP-glucuronic acid/UDP-GlcNAc synthesis is decreased in chondrogenic OA hBMSCs.
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5.
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Highlights
  • •In depth performance assessment of leading tools for differential protein abundance.
  • •Novel fast modular framework MSqRobSum for robust protein summarization and inference.
  • •MsqRobSum outperforms leading protein summarization-based tools.
  • •MSqRobSum is on par with top-performing peptide based tool MSqRob.
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6.
7.
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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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8.
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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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9.
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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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10.
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Highlights
  • •Laser microdissection of highly vulnerable hippocampal region.
  • •Proteomic analysis of postmortem human brain tissue of AD and control cases.
  • •Decreased levels of presynaptic proteins, but not postsynaptic proteins, in AD.
  • •Immunohistochemistry verifies decreased levels of selected presynaptic proteins.
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11.
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Highlights
  • •pY phosphoproteomes and dedicated ranking analyses for 16 AML cell lines.
  • •RTK drivers, 6 mutant cell lines confirmed, identification for 4 more cell lines.
  • •MAPK1/3 phosphorylation for cell lines without TK driver, indicating RAS mutation.
  • •Drug target space phosphorylation correlates with drug IC50s in specific cell lines.
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12.
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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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13.
14.
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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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15.
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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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16.
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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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17.
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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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18.
19.
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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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20.
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Highlights
  • •Each component of the AMPK trimeric complex was profiled by interaction proteomics.
  • •The subunit composition of the AMPK complex directs interactions to distinct proteins.
  • •AMPK interacts with Artemis and plays a role in Non-Homologous End Joining.
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