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Clinical and Biomedical Mass Spectrometry - New Frontiers in Drug Developments and Diagnosis

Végvári, Ákos LU ; Rezeli, Melinda LU ; Erlinge, David LU and Marko-Varga, György LU (2013) In Bioinformatics of Human Proteomics Translational Bioinformatics 3. p.169-186
Abstract
Healthcare systems today are undergoing major restructuring. From the patient’s perspective, expectations focusing on high quality treatments for most common diseases – such as cancer, cardiovascular diseases, neurodegenerative diseases, diabetes, and others – have gone unmet in most countries throughout the world. Today, a number of protein expression and analysis platforms is available, which can generate large-scale maps of proteins related to healthy and diseased states. These mass spectrometry-based technologies are used on a daily basis by thousands of research laboratories around the world. The major interest is focused on discovery and validation of novel biomarkers in various diseases, as well as on targeted proteomics where... (More)
Healthcare systems today are undergoing major restructuring. From the patient’s perspective, expectations focusing on high quality treatments for most common diseases – such as cancer, cardiovascular diseases, neurodegenerative diseases, diabetes, and others – have gone unmet in most countries throughout the world. Today, a number of protein expression and analysis platforms is available, which can generate large-scale maps of proteins related to healthy and diseased states. These mass spectrometry-based technologies are used on a daily basis by thousands of research laboratories around the world. The major interest is focused on discovery and validation of novel biomarkers in various diseases, as well as on targeted proteomics where quantification of multiple protein biomarkers is achieved. We present these technological developments in relation to disease diagnosis and treatment and provide two examples where significant progress has been made. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Bioinformatics of Human Proteomics
editor
Wang, Xiangdong
volume
Translational Bioinformatics 3
pages
169 - 186
publisher
Springer
ISBN
978-94-007-5811-7
DOI
10.1007/978-94-007-5811-7_7
language
English
LU publication?
yes
id
14336fd6-3da3-45cf-ae62-058ce3d7ada5 (old id 2863126)
date added to LUP
2013-01-29 09:08:23
date last changed
2016-04-16 09:20:51
@inbook{14336fd6-3da3-45cf-ae62-058ce3d7ada5,
  abstract     = {Healthcare systems today are undergoing major restructuring. From the patient’s perspective, expectations focusing on high quality treatments for most common diseases – such as cancer, cardiovascular diseases, neurodegenerative diseases, diabetes, and others – have gone unmet in most countries throughout the world. Today, a number of protein expression and analysis platforms is available, which can generate large-scale maps of proteins related to healthy and diseased states. These mass spectrometry-based technologies are used on a daily basis by thousands of research laboratories around the world. The major interest is focused on discovery and validation of novel biomarkers in various diseases, as well as on targeted proteomics where quantification of multiple protein biomarkers is achieved. We present these technological developments in relation to disease diagnosis and treatment and provide two examples where significant progress has been made.},
  author       = {Végvári, Ákos and Rezeli, Melinda and Erlinge, David and Marko-Varga, György},
  editor       = {Wang, Xiangdong},
  isbn         = {978-94-007-5811-7},
  language     = {eng},
  pages        = {169--186},
  publisher    = {Springer},
  series       = {Bioinformatics of Human Proteomics},
  title        = {Clinical and Biomedical Mass Spectrometry - New Frontiers in Drug Developments and Diagnosis},
  url          = {http://dx.doi.org/10.1007/978-94-007-5811-7_7},
  volume       = {Translational Bioinformatics 3},
  year         = {2013},
}