Proteomics in pulmonary medicine

Chest

Volumn 130, Issue 2, 2006, Pages 567-574

  Bowler, Russell P ^a   Ellison, Misoo C ^a   Reisdorph, Nichole ^b  

^a NATIONAL JEWISH MEDICAL AND RESEARCH CENTER   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Bioinformatics; Electrophoresis; Mass spectrometry

Indexed keywords

ACUTE LUNG INJURY; ARTICLE; AUTOMATION; BIOINFORMATICS; BLOOD SAMPLING; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER PROGRAM; ELECTRONICS; EXPIRED AIR; GEL ELECTROPHORESIS; GENE SEQUENCE; GENOME; HIGH THROUGHPUT SCREENING; LUNG DISEASE; LUNG LAVAGE; LUNG PARENCHYMA; MASS SPECTROMETRY; MATHEMATICAL COMPUTING; METHODOLOGY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN PROCESSING; PROTEOMICS;

EID: 33747619654     PISSN: 00123692     EISSN: None     Source Type: Journal    
DOI: 10.1378/chest.130.2.567     Document Type: Article

References (28)

1. Lader EW, Cannon CP, Ohman EM, et al. The clinician as investigator: participating in clinical trials in the practice setting; appendix 1: fundamentals of study design. Circulation 2004; 109:e302-e304
2. Baggerly KA, Morris JS, Coombes KR. Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments. Bioinformatics 2004; 20:777-785
3. Patton WF. Detection technologies in proteome analysis. J Chromatogr B Analyt Technol Biomed Life Sci 2002; 771:3-31
4. Jin M, Drwal G, Bourgeois T, et al. Distinct proteome features of plasma microparticles. Proteomics 2005; 5:1940-1952
5. Aebersold R, Mann M. MS-based proteomics. Nature 2003; 422:198-207
6. Pusch W, Flocco MT, Leung SM, et al. MS-based clinical proteomics. Pharmacogenomics 2003; 4:463-476
7. Aldred S, Grant MM, Griffiths HR. The use of proteomics for the assessment of clinical samples in research. Clin Biochem 2004; 37:943-952
8. Smith D, Collins BD, Heil J, et al. Sensitivity and specificity of photoaptamer probes. Mol Cell Proteomics 2003; 2:11-18
9. Orengo C, Jones D, Thornton JM. Bioinformatics: genes, proteins and computers. Oxford, UK: BIOS Scientific, 2003
10. Hawkins DM. The problem of overfitting. J Chem Inf Comput Sci 2004; 44:1-12
11. Hirsch J, Hansen KC, Burlingame AL, et al. Proteomics: current techniques and potential applications to lung disease. Am J Physiol Lung Cell Mol Physiol 2004; 287:L1-L23
12. Wattiez R, Falmagne P. Proteomics of bronchoalveolar lavage fluid. J Chromatogr B Analyt Technol Biomed Life Sci 2005; 815:169-178
13. Ishizaka A, Watanabe M, Yamashita T, et al. New bronchoscopic microsample probe to measure the biochemical constituents in epithelial lining fluid of patients with acute respiratory distress syndrome. Crit Care Med 2001; 29:896-898
14. Bell DY, Hook GE. Pulmonary alveolar proteinosis: analysis of airway and alveolar proteins. Am Rev Respir Dis 1979; 119:979-990
15. Guo Y, Ma SF, Grigoryev D, et al. 1-DE MS and 2-D LC-MS analysis of the mouse bronchoalveolar lavage proteome. Proteomics 2005; 5:4608-4624
16. Bowler RP, Duda B, Chan ED, et al. Proteomic analysis of pulmonary edema fluid and plasma in patients with acute lung injury. Am J Physiol Lung Cell Mol Physiol 2004; 286:L1095-L1104
17. Sabounchi-Schutt F, Astrom J, Eklund A, et al. Detection and identification of human bronchoalveolar lavage proteins using narrow-range immobilized pH gradient DryStrip and the paper bridge sample application method. Electrophoresis 2001; 22:1851-1860
18. Jin M, Opalek JM, Marsh CB, et al. Proteome comparison of alveolar macrophages with monocytes reveals distinct protein characteristics. Am J Respir Cell Mol Biol 2004; 31:322-329
19. Wu HM, Jin M, Marsh CB. Toward functional proteomics of alveolar macrophages. Am J Physiol Lung Cell Mol Physiol 2005; 288:L585-L595
20. Yanagisawa K, Shyr Y, Xu BJ, et al. Proteomic patterns of tumour subsets in non-small-cell lung cancer. Lancet 2003; 362:433-439
21. Rahman SM, Shyr Y, Yildiz PB, et al. Proteomic patterns of preinvasive bronchial lesions. Am J Respir Crit Care Med 2005
22. Ahram M, Best CJ, Flaig MJ, et al. Proteomic analysis of human prostate cancer. Mol Carcinog 2002; 33:9-15
23. Xiao X, Liu D, Tang Y, et al. Development of proteomic patterns for detecting lung cancer. Dis Markers 2003; 19:33-39
24. Bowler RP, Canham ME, Ellison MC. Surface enhanced laser desorption/ionization (SELDI) time-of-flight MS to identify patients with chronic obstructive pulmonary disease. COPD: J Chron Obst Pulm Dis 2006; 3:41-50
25. Hood BL, Lucas DA, Kim G, et al. Quantitative analysis of the low molecular weight serum proteome using 18O stable isotope labeling in a lung tumor xenograft mouse model. J Am Soc Mass Spectrom 2005; 16:1221-1230
26. Lim YP. Mining the tumor phosphoproteome for cancer markers. Clin Cancer Res 2005; 11:3163-3169
27. Aulak KS, Miyagi M, Yan L, et al. Proteomic method identifies proteins nitrated in vivo during inflammatory challenge. Proc Natl Acad Sci U S A 2001; 98:12056-12061
28. Qiu R, Regnier FE. Comparative glycoproteomics of N-linked complex-type glycoforms containing sialic acid in human serum. Anal Chem 2005; 77:7225-7231