161 related articles for article (PubMed ID: 25407311)
1. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis.
Chawade A; Sandin M; Teleman J; Malmström J; Levander F
J Proteome Res; 2015 Feb; 14(2):676-87. PubMed ID: 25407311
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of data-dependent and -independent mass spectrometric workflows for sensitive quantification of proteins and phosphorylation sites.
Bauer M; Ahrné E; Baron AP; Glatter T; Fava LL; Santamaria A; Nigg EA; Schmidt A
J Proteome Res; 2014 Dec; 13(12):5973-88. PubMed ID: 25330945
[TBL] [Abstract][Full Text] [Related]
3. Data processing methods and quality control strategies for label-free LC-MS protein quantification.
Sandin M; Teleman J; Malmström J; Levander F
Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):29-41. PubMed ID: 23567904
[TBL] [Abstract][Full Text] [Related]
4. i-RUBY: a novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins.
Wada K; Ogiwara A; Nagasaka K; Tanaka N; Komatsu Y
Rapid Commun Mass Spectrom; 2011 Apr; 25(7):960-8. PubMed ID: 21416533
[TBL] [Abstract][Full Text] [Related]
5. An automated pipeline for high-throughput label-free quantitative proteomics.
Weisser H; Nahnsen S; Grossmann J; Nilse L; Quandt A; Brauer H; Sturm M; Kenar E; Kohlbacher O; Aebersold R; Malmström L
J Proteome Res; 2013 Apr; 12(4):1628-44. PubMed ID: 23391308
[TBL] [Abstract][Full Text] [Related]
6. Processing strategies and software solutions for data-independent acquisition in mass spectrometry.
Bilbao A; Varesio E; Luban J; Strambio-De-Castillia C; Hopfgartner G; Müller M; Lisacek F
Proteomics; 2015 Mar; 15(5-6):964-80. PubMed ID: 25430050
[TBL] [Abstract][Full Text] [Related]
7. Is label-free LC-MS/MS ready for biomarker discovery?
Sandin M; Chawade A; Levander F
Proteomics Clin Appl; 2015 Apr; 9(3-4):289-94. PubMed ID: 25656266
[TBL] [Abstract][Full Text] [Related]
8. An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data.
Mueller LN; Brusniak MY; Mani DR; Aebersold R
J Proteome Res; 2008 Jan; 7(1):51-61. PubMed ID: 18173218
[TBL] [Abstract][Full Text] [Related]
9. Information-dependent LC-MS/MS acquisition with exclusion lists potentially generated on-the-fly: case study using a whole cell digest of Clostridium thermocellum.
McQueen P; Spicer V; Rydzak T; Sparling R; Levin D; Wilkins JA; Krokhin O
Proteomics; 2012 Apr; 12(8):1160-9. PubMed ID: 22577018
[TBL] [Abstract][Full Text] [Related]
10. Benchmarking quantitative label-free LC-MS data processing workflows using a complex spiked proteomic standard dataset.
Ramus C; Hovasse A; Marcellin M; Hesse AM; Mouton-Barbosa E; Bouyssié D; Vaca S; Carapito C; Chaoui K; Bruley C; Garin J; Cianférani S; Ferro M; Van Dorssaeler A; Burlet-Schiltz O; Schaeffer C; Couté Y; Gonzalez de Peredo A
J Proteomics; 2016 Jan; 132():51-62. PubMed ID: 26585461
[TBL] [Abstract][Full Text] [Related]
11. Shotgun protein analysis by liquid chromatography-tandem mass spectrometry.
Kubota K; Kosaka T; Ichikawa K
Methods Mol Biol; 2009; 519():483-94. PubMed ID: 19381604
[TBL] [Abstract][Full Text] [Related]
12. Peptides quantification by liquid chromatography with matrix-assisted laser desorption/ionization and selected reaction monitoring detection.
Lesur A; Varesio E; Domon B; Hopfgartner G
J Proteome Res; 2012 Oct; 11(10):4972-82. PubMed ID: 22897511
[TBL] [Abstract][Full Text] [Related]
13. MassUntangler: a novel alignment tool for label-free liquid chromatography-mass spectrometry proteomic data.
Ballardini R; Benevento M; Arrigoni G; Pattini L; Roda A
J Chromatogr A; 2011 Dec; 1218(49):8859-68. PubMed ID: 21783198
[TBL] [Abstract][Full Text] [Related]
14. Combining Targeted and Untargeted Data Acquisition to Enhance Quantitative Plant Proteomics Experiments.
Hart-Smith G
Methods Mol Biol; 2020; 2139():169-178. PubMed ID: 32462586
[TBL] [Abstract][Full Text] [Related]
15. Quantification of proteins by label-free LC-MS(E.).
Savidor A; Levin Y
Methods Mol Biol; 2014; 1156():223-36. PubMed ID: 24791992
[TBL] [Abstract][Full Text] [Related]
16. Generic workflow for quality assessment of quantitative label-free LC-MS analysis.
Sandin M; Krogh M; Hansson K; Levander F
Proteomics; 2011 Mar; 11(6):1114-24. PubMed ID: 21298787
[TBL] [Abstract][Full Text] [Related]
17. Multispecies Benchmark Analysis for LC-MS/MS Validation and Performance Evaluation in Bottom-Up Proteomics.
Jumel T; Shevchenko A
J Proteome Res; 2024 Feb; 23(2):684-691. PubMed ID: 38243904
[TBL] [Abstract][Full Text] [Related]
18. LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.
Zhang W; Zhang J; Xu C; Li N; Liu H; Ma J; Zhu Y; Xie H
Proteomics; 2012 Dec; 12(23-24):3475-84. PubMed ID: 23081734
[TBL] [Abstract][Full Text] [Related]
19. RIBAR and xRIBAR: Methods for reproducible relative MS/MS-based label-free protein quantification.
Colaert N; Gevaert K; Martens L
J Proteome Res; 2011 Jul; 10(7):3183-9. PubMed ID: 21604685
[TBL] [Abstract][Full Text] [Related]
20. An off-line high pH reversed-phase fractionation and nano-liquid chromatography-mass spectrometry method for global proteomic profiling of cell lines.
Wang H; Sun S; Zhang Y; Chen S; Liu P; Liu B
J Chromatogr B Analyt Technol Biomed Life Sci; 2015 Jan; 974():90-5. PubMed ID: 25463202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
