Recent advances in robotic protein sample preparation for clinical analysis and other biomedical applications.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID:

Abstract

Discovery of new protein biomarker candidates has become a major research goal in the areas of clinical chemistry, analytical chemistry, and biomedicine. These important species constitute the molecular target when it comes to diagnosis, prognosis, and further monitoring of disease. However, their analysis requires powerful, selective and high-throughput sample preparation and product (analyte) characterisation approaches. In general, manual sample processing is tedious, complex and time-consuming, especially when large numbers of samples have to be processed (e.g., in clinical studies). Automation via microtiter-plate platforms involving robotics has brought improvements in high-throughput performance while comparable or even better precisions and repeatability (intra-day, inter-day) were achieved. At the same time, waste production and exposure of laboratory personnel to hazards were reduced. In comprehensive protein analysis workflows (e.g., liquid chromatography-tandem mass spectrometry analysis), sample preparation is an unavoidable step. This review surveys the recent achievements in automation of bottom-up and top-down protein and/or proteomics approaches. Emphasis is put on high-end multi-well plate robotic platforms developed for clinical analysis and other biomedical applications. The literature from 2013 to date has been covered.

Authors

  • Michal Alexovič
    Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, SK-04011 Košice, Slovakia. Electronic address: michal.alexovic@upjs.sk.
  • Pawel L Urban
    Department of Applied Chemistry, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan; Institute of Molecular Science, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan. Electronic address: plurban@nctu.edu.tw.
  • Hadi Tabani
    Department of Environmental Geology, Research Institute of Applied Sciences (ACECR), Shahid Beheshti University, Tehran, Iran.
  • Ján Sabo
    Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, SK-04011 Košice, Slovakia.