2003•SEIBUTSU BUTSURI KAGAKUOpen access

Multiple Large Gel Two-dimensional Electrophoresis for Proteomics.

Kazuhiro Katsuta, Eiko Nomura, Naoyuki Inagaki

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Abstract

A fundamental concern about proteomics is improving the coverage of detection of a cellular proteome using our technology. In the case of two-dimensional gel electrophoresis (2-DE), a core technology of proteomics, enlargement of the gel size appears a straightforward and effective strategy for increasing the number of detected proteins. We utilized fourteen large 2-DE gels (twelve 24cm×7cm gels) which were assembled into a 93cm×103cm cybergel. Our data suggested that the cyber gel can display more than 11, 000 protein spots expressed in a 1-105 dynamic range in cells.

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A fundamental concern about proteomics is improving the coverage of detection of a cellular proteome using our technology. In the case of two-dimensional gel electrophoresis (2-DE), a core technology of proteomics, enlargement of the gel size appears a straightforward and effective strategy for increasing the number of detected proteins. We utilized fourteen large 2-DE gels (twelve 24cm×7cm gels) which were assembled into a 93cm×103cm cybergel. Our data suggested that the cyber gel can display more than 11, 000 protein spots expressed in a 1-105 dynamic range in cells.

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Available abstract

A fundamental concern about proteomics is improving the coverage of detection of a cellular proteome using our technology. In the case of two-dimensional gel electrophoresis (2-DE), a core technology of proteomics, enlargement of the gel size appears a straightforward and effective strategy for increasing the number of detected proteins. We utilized fourteen large 2-DE gels (twelve 24cm×7cm gels) which were assembled into a 93cm×103cm cybergel. Our data suggested that the cyber gel can display more than 11, 000 protein spots expressed in a 1-105 dynamic range in cells.

Key concepts: Proteome, Proteomics, Two-dimensional gel electrophoresis, Gel electrophoresis, Electrophoresis, Chemistry, Chromatography, Computational biology

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