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Journal Abstract Search

563 related items for PubMed ID: 33845167

  • 1. Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction.
    Pak H, Michaux J, Huber F, Chong C, Stevenson BJ, Müller M, Coukos G, Bassani-Sternberg M.
    Mol Cell Proteomics; 2021; 20():100080. PubMed ID: 33845167
    [Abstract] [Full Text] [Related]

  • 2. Benchmarking Bioinformatics Pipelines in Data-Independent Acquisition Mass Spectrometry for Immunopeptidomics.
    Shahbazy M, Ramarathinam SH, Illing PT, Jappe EC, Faridi P, Croft NP, Purcell AW.
    Mol Cell Proteomics; 2023 Apr; 22(4):100515. PubMed ID: 36796644
    [Abstract] [Full Text] [Related]

  • 3. Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition.
    Barkovits K, Pacharra S, Pfeiffer K, Steinbach S, Eisenacher M, Marcus K, Uszkoreit J.
    Mol Cell Proteomics; 2020 Jan; 19(1):181-197. PubMed ID: 31699904
    [Abstract] [Full Text] [Related]

  • 4. Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows.
    Staes A, Mendes Maia T, Dufour S, Bouwmeester R, Gabriels R, Martens L, Gevaert K, Impens F, Devos S.
    J Proteome Res; 2024 Jun 07; 23(6):2078-2089. PubMed ID: 38666436
    [Abstract] [Full Text] [Related]

  • 5. DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation.
    Lou R, Liu W, Li R, Li S, He X, Shui W.
    Nat Commun; 2021 Nov 18; 12(1):6685. PubMed ID: 34795227
    [Abstract] [Full Text] [Related]

  • 6. Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine.
    Ha A, Khoo A, Ignatchenko V, Khan S, Waas M, Vesprini D, Liu SK, Nyalwidhe JO, Semmes OJ, Boutros PC, Kislinger T.
    J Proteome Res; 2024 May 03; 23(5):1768-1778. PubMed ID: 38580319
    [Abstract] [Full Text] [Related]

  • 7. In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics.
    Yang Y, Liu X, Shen C, Lin Y, Yang P, Qiao L.
    Nat Commun; 2020 Jan 09; 11(1):146. PubMed ID: 31919359
    [Abstract] [Full Text] [Related]

  • 8. A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics.
    Xin L, Qiao R, Chen X, Tran H, Pan S, Rabinoviz S, Bian H, He X, Morse B, Shan B, Li M.
    Nat Commun; 2022 Jun 07; 13(1):3108. PubMed ID: 35672356
    [Abstract] [Full Text] [Related]

  • 9. Data-Independent Acquisition of HLA Class I Peptidomes on the Q Exactive Mass Spectrometer Platform.
    Ritz D, Kinzi J, Neri D, Fugmann T.
    Proteomics; 2017 Oct 07; 17(19):. PubMed ID: 28834231
    [Abstract] [Full Text] [Related]

  • 10. Sensitive, High-Throughput HLA-I and HLA-II Immunopeptidomics Using Parallel Accumulation-Serial Fragmentation Mass Spectrometry.
    Phulphagar KM, Ctortecka C, Jacome ASV, Klaeger S, Verzani EK, Hernandez GM, Udeshi ND, Clauser KR, Abelin JG, Carr SA.
    Mol Cell Proteomics; 2023 Jun 07; 22(6):100563. PubMed ID: 37142057
    [Abstract] [Full Text] [Related]

  • 11. PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies.
    Mun DG, Renuse S, Saraswat M, Madugundu A, Udainiya S, Kim H, Park SR, Zhao H, Nirujogi RS, Na CH, Kannan N, Yates JR, Lee SW, Pandey A.
    Anal Chem; 2020 Nov 03; 92(21):14466-14475. PubMed ID: 33079518
    [Abstract] [Full Text] [Related]

  • 12. [Research progress and application of retention time prediction method based on deep learning].
    DU Z, Shao W, Qin W.
    Se Pu; 2021 Mar 03; 39(3):211-218. PubMed ID: 34227303
    [Abstract] [Full Text] [Related]

  • 13. Characterization of Cerebrospinal Fluid via Data-Independent Acquisition Mass Spectrometry.
    Barkovits K, Linden A, Galozzi S, Schilde L, Pacharra S, Mollenhauer B, Stoepel N, Steinbach S, May C, Uszkoreit J, Eisenacher M, Marcus K.
    J Proteome Res; 2018 Oct 05; 17(10):3418-3430. PubMed ID: 30207155
    [Abstract] [Full Text] [Related]

  • 14. Customized Consensus Spectral Library Building for Untargeted Quantitative Metabolomics Analysis with Data Independent Acquisition Mass Spectrometry and MetaboDIA Workflow.
    Chen G, Walmsley S, Cheung GCM, Chen L, Cheng CY, Beuerman RW, Wong TY, Zhou L, Choi H.
    Anal Chem; 2017 May 02; 89(9):4897-4906. PubMed ID: 28391692
    [Abstract] [Full Text] [Related]

  • 15. Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.
    Pino LK, Just SC, MacCoss MJ, Searle BC.
    Mol Cell Proteomics; 2020 Jul 02; 19(7):1088-1103. PubMed ID: 32312845
    [Abstract] [Full Text] [Related]

  • 16. Technical advances in proteomics: new developments in data-independent acquisition.
    Hu A, Noble WS, Wolf-Yadlin A.
    F1000Res; 2016 Jul 02; 5():. PubMed ID: 27092249
    [Abstract] [Full Text] [Related]

  • 17. Sample Fractionation Techniques for CSF Peptide Spectral Library Generation.
    Pacharra S, Marcus K, May C.
    Methods Mol Biol; 2019 Jul 02; 2044():69-77. PubMed ID: 31432407
    [Abstract] [Full Text] [Related]

  • 18. A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.
    Li X, Pak HS, Huber F, Michaux J, Taillandier-Coindard M, Altimiras ER, Bassani-Sternberg M.
    Cell Rep Methods; 2023 Jun 26; 3(6):100479. PubMed ID: 37426762
    [Abstract] [Full Text] [Related]

  • 19. Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS.
    Kovalchik K, Hamelin D, Caron E.
    Methods Mol Biol; 2022 Jun 26; 2420():137-147. PubMed ID: 34905171
    [Abstract] [Full Text] [Related]

  • 20. Evaluation of DDA Library-Free Strategies for Phosphoproteomics and Ubiquitinomics Data-Independent Acquisition Data.
    Wen C, Wu X, Lin G, Yan W, Gan G, Xu X, Chen XY, Chen X, Liu X, Fu G, Zhong CQ.
    J Proteome Res; 2023 Jul 07; 22(7):2232-2245. PubMed ID: 37256709
    [Abstract] [Full Text] [Related]

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