315 related articles for article (PubMed ID: 32312845)
1. Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.
Pino LK; Just SC; MacCoss MJ; Searle BC
Mol Cell Proteomics; 2020 Jul; 19(7):1088-1103. PubMed ID: 32312845
[TBL] [Abstract][Full Text] [Related]
2. 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
[TBL] [Abstract][Full Text] [Related]
3. Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries.
Van Puyvelde B; Willems S; Gabriels R; Daled S; De Clerck L; Vande Casteele S; Staes A; Impens F; Deforce D; Martens L; Degroeve S; Dhaenens M
Proteomics; 2020 Feb; 20(3-4):e1900306. PubMed ID: 31981311
[TBL] [Abstract][Full Text] [Related]
4. Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry.
Searle BC; Pino LK; Egertson JD; Ting YS; Lawrence RT; MacLean BX; Villén J; MacCoss MJ
Nat Commun; 2018 Dec; 9(1):5128. PubMed ID: 30510204
[TBL] [Abstract][Full Text] [Related]
5. 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; 11(1):146. PubMed ID: 31919359
[TBL] [Abstract][Full Text] [Related]
6. Generating high quality libraries for DIA MS with empirically corrected peptide predictions.
Searle BC; Swearingen KE; Barnes CA; Schmidt T; Gessulat S; Küster B; Wilhelm M
Nat Commun; 2020 Mar; 11(1):1548. PubMed ID: 32214105
[TBL] [Abstract][Full Text] [Related]
7. 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
[TBL] [Abstract][Full Text] [Related]
8. A data-independent acquisition (DIA)-based quantification workflow for proteome analysis of 5000 cells.
Jiang N; Gao Y; Xu J; Luo F; Zhang X; Chen R
J Pharm Biomed Anal; 2022 Jul; 216():114795. PubMed ID: 35489320
[TBL] [Abstract][Full Text] [Related]
9. Discovering Protein Biomarkers from Clinical Peripheral Blood Mononuclear Cells Using Data-Independent Acquisition Mass Spectrometry.
Ku X; Yan W
Methods Mol Biol; 2019; 1959():151-161. PubMed ID: 30852821
[TBL] [Abstract][Full Text] [Related]
10. 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; 17(10):3418-3430. PubMed ID: 30207155
[TBL] [Abstract][Full Text] [Related]
11. Low Resolution Data-Independent Acquisition in an LTQ-Orbitrap Allows for Simplified and Fully Untargeted Analysis of Histone Modifications.
Sidoli S; Simithy J; Karch KR; Kulej K; Garcia BA
Anal Chem; 2015 Nov; 87(22):11448-54. PubMed ID: 26505526
[TBL] [Abstract][Full Text] [Related]
12. Optimizing data-independent acquisition (DIA) spectral library workflows for plasma proteomics studies.
Rice SJ; Belani CP
Proteomics; 2022 Sep; 22(17):e2200125. PubMed ID: 35708973
[TBL] [Abstract][Full Text] [Related]
13. A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients.
Bekker-Jensen DB; Martínez-Val A; Steigerwald S; Rüther P; Fort KL; Arrey TN; Harder A; Makarov A; Olsen JV
Mol Cell Proteomics; 2020 Apr; 19(4):716-729. PubMed ID: 32051234
[TBL] [Abstract][Full Text] [Related]
14. New targeted approaches for the quantification of data-independent acquisition mass spectrometry.
Bruderer R; Sondermann J; Tsou CC; Barrantes-Freer A; Stadelmann C; Nesvizhskii AI; Schmidt M; Reiter L; Gomez-Varela D
Proteomics; 2017 May; 17(9):. PubMed ID: 28319648
[TBL] [Abstract][Full Text] [Related]
15. nf-encyclopedia: A Cloud-Ready Pipeline for Chromatogram Library Data-Independent Acquisition Proteomics Workflows.
Allen C; Meinl R; Paez JS; Searle BC; Just S; Pino LK; Fondrie WE
J Proteome Res; 2023 Aug; 22(8):2743-2749. PubMed ID: 37417926
[TBL] [Abstract][Full Text] [Related]
16. Hybrid data acquisition and processing strategies with increased throughput and selectivity: pSMART analysis for global qualitative and quantitative analysis.
Prakash A; Peterman S; Ahmad S; Sarracino D; Frewen B; Vogelsang M; Byram G; Krastins B; Vadali G; Lopez M
J Proteome Res; 2014 Dec; 13(12):5415-30. PubMed ID: 25244318
[TBL] [Abstract][Full Text] [Related]
17. 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; 12(1):6685. PubMed ID: 34795227
[TBL] [Abstract][Full Text] [Related]
18. MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics.
Isaksson M; Karlsson C; Laurell T; Kirkeby A; Heusel M
J Proteome Res; 2022 Feb; 21(2):535-546. PubMed ID: 35042333
[TBL] [Abstract][Full Text] [Related]
19. Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics.
Frankenfield AM; Ni J; Ahmed M; Hao L
J Proteome Res; 2022 Sep; 21(9):2104-2113. PubMed ID: 35793413
[TBL] [Abstract][Full Text] [Related]
20. DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics.
Midha MK; Campbell DS; Kapil C; Kusebauch U; Hoopmann MR; Bader SL; Moritz RL
Nat Commun; 2020 Oct; 11(1):5251. PubMed ID: 33067471
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]