The two-dimensional difference gel electrophoresis method is a valuable approach for proteomics. The method, using cyanine fluorescent dyes, allows the co-migration of multiple protein samples in the same gel and their simultaneous detection, thus reducing experimental and analytical time. 2D-DIGE, compared to traditional post-staining 2D-PAGE protocols (e.g., colloidal Coomassie or silver nitrate), provides faster and more reliable gel matching, limiting the impact of gel to gel variation, and allows also a good dynamic range for quantitative comparisons. By the use of internal standards, it is possible to normalize for experimental variations in spot intensities and gel patterns. Here we describe the experimental steps we follow in our routine 2D-DIGE procedure that we then apply to multiple biological questions.

2D-DIGE in proteomics / M. Pasquali, T. Serchi, S. Planchon, J. Renaut (METHODS IN MOLECULAR BIOLOGY). - In: Functional Genomics : Methods and Protocols / [a cura di] M. Kaufmann, C. Klinger, A. Savelsbergh. - [s.l] : Humana Press Inc., 2017. - ISBN 9781493972302. - pp. 245-254

2D-DIGE in proteomics

M. Pasquali;
2017

Abstract

The two-dimensional difference gel electrophoresis method is a valuable approach for proteomics. The method, using cyanine fluorescent dyes, allows the co-migration of multiple protein samples in the same gel and their simultaneous detection, thus reducing experimental and analytical time. 2D-DIGE, compared to traditional post-staining 2D-PAGE protocols (e.g., colloidal Coomassie or silver nitrate), provides faster and more reliable gel matching, limiting the impact of gel to gel variation, and allows also a good dynamic range for quantitative comparisons. By the use of internal standards, it is possible to normalize for experimental variations in spot intensities and gel patterns. Here we describe the experimental steps we follow in our routine 2D-DIGE procedure that we then apply to multiple biological questions.
2D-DIGE; Animals; Electrophoresis; Fungi; Isoelectrofocusing; Plants; Proteomics; SDS-PAGE; Molecular Biology; Genetics
Settore AGR/12 - Patologia Vegetale
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/548972
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