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Rapid Proteome Analysis of Bronchoalveolar Lavage Samples of Lifelong Smokers and Never-Smokers by Micro-Scale Liquid Chromatography and Mass Spectrometry.

Plymoth, Amelie LU ; Yang, Ziping ; Löfdahl, Claes-Göran LU ; Ekberg-Jansson, Ann ; Dahlback, Magnus ; Fehniger, Thomas E ; Marko-Varga, György and Hancock, William S (2006) In Clinical Chemistry 52(4). p.671-679
Abstract
Background: The aim of this study was to determine whether relative qualitative and quantitative differences in protein expression could be related to smoke exposure or smoke-induced airway inflammation. We therefore explored and characterized the protein components found in bronchoalveolar lavage (BAL) fluid sampled from either lifelong smokers or never-smokers. Methods: BAL fluid samples obtained by bronchoscopy from 60-year-old healthy never-smokers (n = 18) and asymptomatic smokers (n = 30) were analyzed in either pooled or individual form. Initial global proteomic analysis used shotgun digestion approaches on unfractionated BAL fluid samples (after minimal sample preparation) and separation of peptides by gradient (90-min) liquid... (More)
Background: The aim of this study was to determine whether relative qualitative and quantitative differences in protein expression could be related to smoke exposure or smoke-induced airway inflammation. We therefore explored and characterized the protein components found in bronchoalveolar lavage (BAL) fluid sampled from either lifelong smokers or never-smokers. Methods: BAL fluid samples obtained by bronchoscopy from 60-year-old healthy never-smokers (n = 18) and asymptomatic smokers (n = 30) were analyzed in either pooled or individual form. Initial global proteomic analysis used shotgun digestion approaches on unfractionated BAL fluid samples (after minimal sample preparation) and separation of peptides by gradient (90-min) liquid chromatography (LC) coupled with on-line linear ion trap quadropole mass spectrometry (LTQ MS) for identification and analysis. Results: LTQ MS identified 481 high- to low-abundance proteins. Relative differences in patterns of BAL fluid proteins in smokers compared with never-smokers were observed in pooled and individual samples as well as by 2-dimensional gel analysis. Gene ontology categorization of all annotated proteins showed a wide spectrum of molecular functions and biological processes. Conclusions: The described method provides comprehensive qualitative proteomic analysis of BAL fluid protein expression from never-smokers and from smokers at risk of developing chronic obstructive pulmonary disease. Many of the proteins identified had not been detected in previous studies of BAL fluid; thus, the use of LC-tandem MS with LTQ may provide new information regarding potentially important patterns of protein expression associated with lifelong smoking. (c) 2006 American Association for Clinical Chemistry. (Less)
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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Clinical Chemistry
volume
52
issue
4
pages
671 - 679
publisher
American Association for Clinical Chemistry
external identifiers
  • wos:000236482700014
  • pmid:16497942
  • scopus:33645455604
  • pmid:16497942
ISSN
0009-9147
DOI
10.1373/clinchem.2005.060715
language
English
LU publication?
yes
id
182a5862-2528-4273-936a-ac24fe81e8fa (old id 153386)
alternative location
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16497942&dopt=Abstract
date added to LUP
2016-04-01 12:09:29
date last changed
2022-01-26 23:36:23
@article{182a5862-2528-4273-936a-ac24fe81e8fa,
  abstract     = {{Background: The aim of this study was to determine whether relative qualitative and quantitative differences in protein expression could be related to smoke exposure or smoke-induced airway inflammation. We therefore explored and characterized the protein components found in bronchoalveolar lavage (BAL) fluid sampled from either lifelong smokers or never-smokers. Methods: BAL fluid samples obtained by bronchoscopy from 60-year-old healthy never-smokers (n = 18) and asymptomatic smokers (n = 30) were analyzed in either pooled or individual form. Initial global proteomic analysis used shotgun digestion approaches on unfractionated BAL fluid samples (after minimal sample preparation) and separation of peptides by gradient (90-min) liquid chromatography (LC) coupled with on-line linear ion trap quadropole mass spectrometry (LTQ MS) for identification and analysis. Results: LTQ MS identified 481 high- to low-abundance proteins. Relative differences in patterns of BAL fluid proteins in smokers compared with never-smokers were observed in pooled and individual samples as well as by 2-dimensional gel analysis. Gene ontology categorization of all annotated proteins showed a wide spectrum of molecular functions and biological processes. Conclusions: The described method provides comprehensive qualitative proteomic analysis of BAL fluid protein expression from never-smokers and from smokers at risk of developing chronic obstructive pulmonary disease. Many of the proteins identified had not been detected in previous studies of BAL fluid; thus, the use of LC-tandem MS with LTQ may provide new information regarding potentially important patterns of protein expression associated with lifelong smoking. (c) 2006 American Association for Clinical Chemistry.}},
  author       = {{Plymoth, Amelie and Yang, Ziping and Löfdahl, Claes-Göran and Ekberg-Jansson, Ann and Dahlback, Magnus and Fehniger, Thomas E and Marko-Varga, György and Hancock, William S}},
  issn         = {{0009-9147}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{671--679}},
  publisher    = {{American Association for Clinical Chemistry}},
  series       = {{Clinical Chemistry}},
  title        = {{Rapid Proteome Analysis of Bronchoalveolar Lavage Samples of Lifelong Smokers and Never-Smokers by Micro-Scale Liquid Chromatography and Mass Spectrometry.}},
  url          = {{http://dx.doi.org/10.1373/clinchem.2005.060715}},
  doi          = {{10.1373/clinchem.2005.060715}},
  volume       = {{52}},
  year         = {{2006}},
}