Literature DB >> 18512682

Implementation of a protein profiling platform developed as an academic-pharmaceutical industry collaborative effort.

Akos Végvári1, Mattias Magnusson, Lars Wallman, Simon Ekström, Gunnar Bolmsjö, Johan Nilsson, Tasso Miliotis, Jörgen Ostling, Sven Kjellström, Jan Ottervald, Bo Franzén, Hans Hultberg, György Marko-Varga, Thomas Laurell.   

Abstract

As much attention has devoted to the proteome research during the last few years, biomarker discovery has become an increasingly hot area, potentially enabling the development of new assays for diagnosis and prognosis of severe diseases. This is the field of research interest where efforts originating from both academic and industrial groups should jointly work on solutions. In this paper, we would like to demonstrate the fruitful combination of both research domains where the scientific crossroads sprout fresh ideas from the basic research domain and how these are refined and tethered to industrial standards. We will present an approach that is based on novel microfluidic devices, utilizing their benefits in processing small-volume samples. Our biomarker discovery strategy, built around this platform, involves optimized samples processing (based on SPE and sample enrichment) and fast MALDI-MS readout. The identification of novel biomarkers at low-abundance level has been achieved by the utilization of a miniaturized sample handling platform, which offers clean-up and enrichment of proteins in one step. Complete automation has been realized in the form of a unique robotic instrumentation that is able to extract and transfer 96 samples onto standard MALDI target plates with high throughput. The developed platform was operated with a 60 sample turnaround per hour allowing sensitivities in femtomol regions of medium- and low-abundant target proteins from clinical studies on samples of multiple sclerosis and gastroesophageal reflux disease. Several proteins have been identified as new biomarkers from cerebrospinal fluid and esophagus epithelial cells.

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Year:  2008        PMID: 18512682     DOI: 10.1002/elps.200700816

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  1 in total

1.  Clinical initiatives linking Japanese and Swedish healthcare resources on cancer studies utilizing Biobank Repositories.

Authors:  Toshihide Nishimura; Takeshi Kawamura; Yutaka Sugihara; Yasuhiko Bando; Shigeru Sakamoto; Masaharu Nomura; Norihiko Ikeda; Tatsuo Ohira; Junichiro Fujimoto; Hiromasa Tojo; Takao Hamakubo; Tatsuhiko Kodama; Roland Andersson; Thomas E Fehniger; Harubumi Kato; György Marko-Varga
Journal:  Clin Transl Med       Date:  2014-11-22
  1 in total

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