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Histological and Histochemical Microscopy Used to Verify 2D-DIGE Pathoproteomics
2022Comparative gel electrophoretic analyses of normal versus pathological specimens can swiftly identify proteome-wide changes in the concentration of specific protein isoforms. The application of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) can be employed for the characterization of complex protein populations in health and ...
Margit Zweyer +2 more
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2D-DIGE: Comparative Proteomics of Cellular Signalling Pathways
2009Two-dimensional (2-D) gel electrophoresis concerted with protein identification by mass spectrometry (MS) is an extremely powerful method for comparative expression profiling of complex protein samples such as cell lysates. The highly resolutive 2-D electrophoresis allows the separation of heterogeneous protein samples on the basis of isoelectric point
Nadia Ben, Larbi, Caroline, Jefferies
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Top-Down Proteomics and Comparative 2D-DIGE Analysis
2022The combination of large-scale protein separation techniques, sophisticated mass spectrometry, and systems bioinformatics has led to the establishment of proteomics as a distinct discipline within the wider field of protein biochemistry. Both discovery proteomics and targeted proteomics are widely used in biological and biomedical research, whereby the
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Application of 2D DIGE in Animal Proteomics
2012Two-dimensional electrophoresis (2 DE) is one of the most important proteomic tools and allows studying the complexity of proteomes of different origin. This chapter describes a setup for 2D DIGE with minimal labeling for qualitative and quantitative applications.
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Spotting targets with 2D-DIGE proteomics
Two-dimensional difference gel electrophoresis (2D-DIGE) has been a staple of protein studies for almost three decades since first described in 1997. Although the advent of omic technologies has greatly expanded protein research and discovery, 2D-DIGE has consistently been the mainstay in biomedical applications.Kent, Marshall +3 more
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2D DIGE Saturation Labeling for Minute Sample Amounts
2012The 2D DIGE technique, based on fluorophores covalently linked to amino acid side chain residues and the concept of an internal standard, has significantly improved reproducibility, sensitivity, and the dynamic range of protein quantification. In saturation DIGE, sulfhydryl groups of cysteines are labeled with cyanine dyes to completion, providing a so
Georg J, Arnold, Thomas, Fröhlich
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The use of 2D‐DIGE to understand the regeneration of somatic embryos in avocado
PROTEOMICS, 2013Avocado embryogenic cell cultures can be classified into two groups based on their morphology when cultured on a medium containing auxin: somatic embryo (SE) and proembryonic masses (PEM) type cultures. The calli of SE‐type cell lines are able to go through the maturation process, whereas the calli of PEM cell lines rarely mature.
Eva, Guzmán-García +3 more
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2D-DIGE as a Tool in Neuroproteomics
2019Neuroproteomics encompasses the study of all protein-related dynamics of the nervous system, not only on a morphological level in development and disease but also functional aspects of the process of learning as well as changes in clinical conditions like depression and addiction. Detection of these changes in protein abundance under defined conditions
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Rapid 2D DIGE Proteomic Analysis of Mouse Liver
2017Several years have passed since LC-MS(/MS) became the mainstream for proteomic analysis; however, conventional 2D DIGE (two-dimensional difference gel electrophoresis) continues to be an important technology that enables rapid and direct visualization of hundreds to thousands of proteins and their quantitative analyses.
Shotaro, Kamata, Isao, Ishii
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Comparative Analysis of Phosphoprotein Expression Using 2D-DIGE
2011Two-dimensional gel electrophoresis (2-DE) has often been used to compare protein expression pattern between different samples. This method is also useful to compare protein expression between wild-type and RNAi plants. 2D-DIGE (difference gel electrophoresis) was developed to perform quantitative proteomics of two or more samples.
Tomoya, Asano, Takumi, Nishiuchi
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