State-of-the-art MS technology applications in lung disease.
(2011) In Bioanalysis 3(23). p.2665-2677- Abstract
- Two frontline MS technologies, which have recently gained much attention, are discussed within the scope of this review. Besides a brief summary on the contemporary state of lung cancer and chronic obstructive pulmonary disease, the principles of multiple reaction monitoring and matrix assisted laser desorption ionization (MALDI) MS imaging are presented. A comprehensive overview of quantitative mass spectrometry applications is provided, covering multiple reaction monitoring assay developments for analysis of proteins (biomarkers) and low-molecular-weight compounds (drugs) with a special focus on the disease areas of lung cancer and chronic obstructive pulmonary disease. The MALDI-MS imaging applications are discussed similarly, providing... (More)
- Two frontline MS technologies, which have recently gained much attention, are discussed within the scope of this review. Besides a brief summary on the contemporary state of lung cancer and chronic obstructive pulmonary disease, the principles of multiple reaction monitoring and matrix assisted laser desorption ionization (MALDI) MS imaging are presented. A comprehensive overview of quantitative mass spectrometry applications is provided, covering multiple reaction monitoring assay developments for analysis of proteins (biomarkers) and low-molecular-weight compounds (drugs) with a special focus on the disease areas of lung cancer and chronic obstructive pulmonary disease. The MALDI-MS imaging applications are discussed similarly, providing references to studies conducted on lung tissues in order to localize drug compounds and protein biomarkers. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2173262
- author
- Végvári, Ákos LU and Döme, Balázs
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Lung cancer, Non-small cell lung cancer, Chronic obstructive pulmonary disease, Mass spectrometry, Multiple reaction monitoring, MALDI mass spectrometry imaging, Personalized medicine
- in
- Bioanalysis
- volume
- 3
- issue
- 23
- pages
- 2665 - 2677
- publisher
- Future Science
- external identifiers
-
- scopus:82955168436
- wos:000299018000014
- pmid:22136054
- pmid:22136054
- ISSN
- 1757-6180
- DOI
- 10.4155/bio.11.271
- language
- English
- LU publication?
- yes
- id
- 6fdde197-8721-48b1-8dab-e2323ee631e0 (old id 2173262)
- date added to LUP
- 2016-04-01 10:07:07
- date last changed
- 2022-01-25 19:57:14
@article{6fdde197-8721-48b1-8dab-e2323ee631e0, abstract = {{Two frontline MS technologies, which have recently gained much attention, are discussed within the scope of this review. Besides a brief summary on the contemporary state of lung cancer and chronic obstructive pulmonary disease, the principles of multiple reaction monitoring and matrix assisted laser desorption ionization (MALDI) MS imaging are presented. A comprehensive overview of quantitative mass spectrometry applications is provided, covering multiple reaction monitoring assay developments for analysis of proteins (biomarkers) and low-molecular-weight compounds (drugs) with a special focus on the disease areas of lung cancer and chronic obstructive pulmonary disease. The MALDI-MS imaging applications are discussed similarly, providing references to studies conducted on lung tissues in order to localize drug compounds and protein biomarkers.}}, author = {{Végvári, Ákos and Döme, Balázs}}, issn = {{1757-6180}}, keywords = {{Lung cancer; Non-small cell lung cancer; Chronic obstructive pulmonary disease; Mass spectrometry; Multiple reaction monitoring; MALDI mass spectrometry imaging; Personalized medicine}}, language = {{eng}}, number = {{23}}, pages = {{2665--2677}}, publisher = {{Future Science}}, series = {{Bioanalysis}}, title = {{State-of-the-art MS technology applications in lung disease.}}, url = {{http://dx.doi.org/10.4155/bio.11.271}}, doi = {{10.4155/bio.11.271}}, volume = {{3}}, year = {{2011}}, }