Large-scale 2-D DIGE studies - guidelines to overcome pitfalls and challenges along the experimental procedure

DOI: 10.5584/jiomics.v1i1.50

Authors

  • Franziska Dautel Department of Proteomics, UFZ, Helmholtz-Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig
  • Stefan Kalkhof Department of Proteomics, UFZ, Helmholtz-Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig https://orcid.org/0000-0001-6121-7105
  • Saskia Trump Department of Environmental Immunology, UFZ, Helmholtz-Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig https://orcid.org/0000-0002-9894-1807
  • Irina Lehmann Department of Environmental Immunology, UFZ, Helmholtz-Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig https://orcid.org/0000-0001-8875-5587
  • Andreas Beyer Biotechnology Center, Technische Universität Dresden, Tatzberg 47/49, 01307 Dresden
  • Martin von Bergen Department of Metabolomics, UFZ, Helmholtz-Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig https://orcid.org/0000-0003-2732-2977

Abstract

In large 2-D DIGE proteomic studies with a large number of samples, it is essential to design the experimental setup to detect statistically significant protein changes under consideration of experimental variances. Here we present some guidelines and general remarks on how to extract protein expression data by following protein spots on their way from first spot synchronization, detection, quantification and statistical analysis until excision and identification. Furthermore, common difficulties and potential pitfalls are discussed which might not be obvious to novices and even more experienced users of DIGE technology.

Published

2011-04-14