Featured Publications
Global and Site-Specific Effect of Phosphorylation on Protein Turnover
Wu C, Ba Q, Lu D, Li W, Salovska B, Hou P, Mueller T, Rosenberger G, Gao E, Di Y, Zhou H, Fornasiero EF, Liu Y. Global and Site-Specific Effect of Phosphorylation on Protein Turnover. Developmental Cell 2020, 56: 111-124.e6. PMID: 33238149, PMCID: PMC7855865, DOI: 10.1016/j.devcel.2020.10.025.Peer-Reviewed Original ResearchConceptsProtein turnoverProtein lifetimeCyclin-dependent kinase substrateStable isotope-labeled amino acidsSite-specific phosphorylationPulse-labeling approachIsotope-labeled amino acidsMass spectrometry-based methodCell fitnessKinase substratePhosphorylation sitesPhosphorylated sitesProteomic methodsCell signalingSpectrometry-based methodsLive cellsAmino acidsPhosphositesRich resourceDisease biologyLabeling approachPhosphorylationModification typesGlutamic acidTurnover
2023
The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics
Huang X, Gan Z, Cui H, Lan T, Liu Y, Caron E, Shao W. The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics. Nucleic Acids Research 2023, 52: d1062-d1071. PMID: 38000392, PMCID: PMC10767952, DOI: 10.1093/nar/gkad1068.Peer-Reviewed Original Research
2019
Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition
Li W, Chi H, Salovska B, Wu C, Sun L, Rosenberger G, Liu Y. Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition. Journal Of The American Society For Mass Spectrometry 2019, 30: 1396-1405. PMID: 31147889, DOI: 10.1007/s13361-019-02243-1.Peer-Reviewed Original Research
2017
Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS
Rosenberger G, Liu Y, Röst HL, Ludwig C, Buil A, Bensimon A, Soste M, Spector TD, Dermitzakis ET, Collins BC, Malmström L, Aebersold R. Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS. Nature Biotechnology 2017, 35: 781-788. PMID: 28604659, PMCID: PMC5593115, DOI: 10.1038/nbt.3908.Peer-Reviewed Original Research
2016
TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics
Röst HL, Liu Y, D'Agostino G, Zanella M, Navarro P, Rosenberger G, Collins BC, Gillet L, Testa G, Malmström L, Aebersold R. TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics. Nature Methods 2016, 13: 777-783. PMID: 27479329, PMCID: PMC5008461, DOI: 10.1038/nmeth.3954.Peer-Reviewed Original Research
2015
Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in Serum
Thomas SN, Harlan R, Chen J, Aiyetan P, Liu Y, Sokoll LJ, Aebersold R, Chan DW, Zhang H. Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in Serum. Analytical Chemistry 2015, 87: 10830-10838. PMID: 26451657, PMCID: PMC4708883, DOI: 10.1021/acs.analchem.5b02063.Peer-Reviewed Original ResearchConceptsGlycosite-containing peptidesClinical Proteomic Tumor Analysis ConsortiumParallel reaction monitoringNational Cancer Institute's Clinical Proteomic Tumor Analysis ConsortiumCommon protein modificationsProtein glycosylationProtein modificationBiological functionsAnalysis ConsortiumRelative abundanceTargeted Mass SpectrometryPRM assaysRobust assayPeak area ratioRelative peak area ratiosGlycoproteinReaction monitoringAssaysHuman serumMass spectrometryDisease statesPeptidesProstate cancer patient seraMS assayGlycosylation
2013
Quantitative measurements of N‐linked glycoproteins in human plasma by SWATH‐MS
Liu Y, Hüttenhain R, Surinova S, Gillet L, Mouritsen J, Brunner R, Navarro P, Aebersold R. Quantitative measurements of N‐linked glycoproteins in human plasma by SWATH‐MS. Proteomics 2013, 13: 1247-1256. PMID: 23322582, DOI: 10.1002/pmic.201200417.Peer-Reviewed Original Research