212 related articles for article (PubMed ID: 32109675)
21. 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]
22. Protein Biomarker Discovery in Non-depleted Serum by Spectral Library-Based Data-Independent Acquisition Mass Spectrometry.
Kraut A; Louwagie M; Bruley C; Masselon C; Couté Y; Brun V; Hesse AM
Methods Mol Biol; 2019; 1959():129-150. PubMed ID: 30852820
[TBL] [Abstract][Full Text] [Related]
23. Deep learning approaches for data-independent acquisition proteomics.
Yang Y; Lin L; Qiao L
Expert Rev Proteomics; 2021 Dec; 18(12):1031-1043. PubMed ID: 34918987
[TBL] [Abstract][Full Text] [Related]
24. High-throughput, in-depth and estimated absolute quantification of plasma proteome using data-independent acquisition/mass spectrometry ("HIAP-DIA").
Zhou Y; Tan Z; Xue P; Wang Y; Li X; Guan F
Proteomics; 2021 Mar; 21(5):e2000264. PubMed ID: 33460299
[TBL] [Abstract][Full Text] [Related]
25. 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
J Am Soc Mass Spectrom; 2019 Aug; 30(8):1396-1405. PubMed ID: 31147889
[TBL] [Abstract][Full Text] [Related]
26. Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling.
Willems P; Fels U; Staes A; Gevaert K; Van Damme P
J Proteome Res; 2021 Feb; 20(2):1165-1177. PubMed ID: 33467856
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. PIONEER: Pipeline for Generating High-Quality Spectral Libraries for DIA-MS Data.
Manda SS; Noor Z; Hains PG; Zhong Q
Curr Protoc; 2021 Mar; 1(3):e69. PubMed ID: 33656278
[TBL] [Abstract][Full Text] [Related]
29. Optimization of Data-Independent Acquisition Mass Spectrometry for Deep and Highly Sensitive Proteomic Analysis.
Kawashima Y; Watanabe E; Umeyama T; Nakajima D; Hattori M; Honda K; Ohara O
Int J Mol Sci; 2019 Nov; 20(23):. PubMed ID: 31779068
[TBL] [Abstract][Full Text] [Related]
30. 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
[TBL] [Abstract][Full Text] [Related]
31. Data-independent acquisition proteomics methods for analyzing post-translational modifications.
Yang Y; Qiao L
Proteomics; 2023 Apr; 23(7-8):e2200046. PubMed ID: 36036492
[TBL] [Abstract][Full Text] [Related]
32. Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling.
George AL; Sidgwick FR; Watt JE; Martin MP; Trost M; Marín-Rubio JL; Dueñas ME
J Proteome Res; 2023 Aug; 22(8):2629-2640. PubMed ID: 37439223
[TBL] [Abstract][Full Text] [Related]
33. High throughput and accurate serum proteome profiling by integrated sample preparation technology and single-run data independent mass spectrometry analysis.
Lin L; Zheng J; Yu Q; Chen W; Xing J; Chen C; Tian R
J Proteomics; 2018 Mar; 174():9-16. PubMed ID: 29278786
[TBL] [Abstract][Full Text] [Related]
34. Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard.
Gotti C; Roux-Dalvai F; Joly-Beauparlant C; Mangnier L; Leclercq M; Droit A
J Proteome Res; 2021 Oct; 20(10):4801-4814. PubMed ID: 34472865
[TBL] [Abstract][Full Text] [Related]
35. Arabidopsis proteome and the mass spectral assay library.
Zhang H; Liu P; Guo T; Zhao H; Bensaddek D; Aebersold R; Xiong L
Sci Data; 2019 Nov; 6(1):278. PubMed ID: 31757973
[TBL] [Abstract][Full Text] [Related]
36. Impact of the Identification Strategy on the Reproducibility of the DDA and DIA Results.
Fernández-Costa C; Martínez-Bartolomé S; McClatchy DB; Saviola AJ; Yu NK; Yates JR
J Proteome Res; 2020 Aug; 19(8):3153-3161. PubMed ID: 32510229
[TBL] [Abstract][Full Text] [Related]
37. Investigation of Effects of the Spectral Library on Analysis of diaPASEF Data.
Wen C; Gan G; Xu X; Lin G; Chen X; Wu Y; Xu Z; Wang J; Xie C; Wang HR; Zhong CQ
J Proteome Res; 2022 Feb; 21(2):507-518. PubMed ID: 34969243
[TBL] [Abstract][Full Text] [Related]
38. Optimization of Acquisition and Data-Processing Parameters for Improved Proteomic Quantification by Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectrometry.
Li S; Cao Q; Xiao W; Guo Y; Yang Y; Duan X; Shui W
J Proteome Res; 2017 Feb; 16(2):738-747. PubMed ID: 27995803
[TBL] [Abstract][Full Text] [Related]
39. Improvements in Mass Spectrometry Assay Library Generation for Targeted Proteomics.
Teleman J; Hauri S; Malmström J
J Proteome Res; 2017 Jul; 16(7):2384-2392. PubMed ID: 28516777
[TBL] [Abstract][Full Text] [Related]
40. Data Dependent-Independent Acquisition (DDIA) Proteomics.
Guan S; Taylor PP; Han Z; Moran MF; Ma B
J Proteome Res; 2020 Aug; 19(8):3230-3237. PubMed ID: 32539411
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]