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  2D-ToGo workflow: increasing feasibility and reproducibility of 2-dimensional gel electrophoresis

Posch, A., Franz, T., Hartwig, S., Knebel, B., Al-Hasani, H., Passlack, W., et al. (2013). 2D-ToGo workflow: increasing feasibility and reproducibility of 2-dimensional gel electrophoresis. Arch Physiol Biochem, 119(3), 108-13. doi:10.3109/13813455.2013.791699.

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Posch, A., Author
Franz, T., Author
Hartwig, S., Author
Knebel, B., Author
Al-Hasani, H., Author
Passlack, W., Author
Kunz, N., Author
Hinze, Y.1, Author           
Li, X.1, Author           
Kotzka, J., Author
Lehr, S., Author
Affiliations:
1Proteomics, Core Facilities, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942305              

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Free keywords: Electrophoresis, Gel, Two-Dimensional/methods/*standards Electrophoresis, Polyacrylamide Gel Escherichia coli/chemistry Escherichia coli Proteins/*analysis Freeze Drying Image Processing, Computer-Assisted Isoelectric Focusing Observer Variation Reproducibility of Results Workflow
 Abstract: Two-dimensional gel electrophoresis (2-DE) is one of the most powerful methods for studying global protein profiles. However, due to the multiple manual steps involved in gel based processing it is challenging to achieve the necessary overall reproducibility for a reliable comparative analysis, especially between different laboratories. To improve the 2-DE technique for quantitative analyses we have set up a robust 2-DE workflow, called 2D-ToGo, which utilizes latest innovations concerning instrumentation, consumables and protocols. Quantitative data analyses indicate the high reproducibility between replicate gels processed at a single site (intra-laboratory variation: CV 20%). The data-sets of the inter-laboratory comparison revealed similar results displaying a variation of CV 23%. The technical improvements given by our 2-DE workflow have a positive impact on process robustness and most importantly, reproducibility. Accordingly, many of the well-known challenges for resolving and quantitating up to thousands of different protein components in a given biological sample are minimized.

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 Dates: 2013-072013
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: Other: 23679042
DOI: 10.3109/13813455.2013.791699
ISSN: 1744-4160 (Electronic)1381-3455 (Linking)
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Title: Arch Physiol Biochem
Source Genre: Journal
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Pages: - Volume / Issue: 119 (3) Sequence Number: - Start / End Page: 108 - 13 Identifier: -