alexa Evaluation of a Novel Automated Machine, the Auto2D, for Two-Dimensional Gel Electrophoresis | OMICS International | Abstract
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
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Research Article

Evaluation of a Novel Automated Machine, the Auto2D, for Two-Dimensional Gel Electrophoresis

Yuki Tani1,2, Takashi Tajima1, Akira Kawai3, Yutaka Unuma4, Hideki Kinoshita4 and Tadashi Kondo1*

1Division of Pharmacoproteomics, National Cancer Center Research Institute, Tokyo, Japan

2Tokyo College of Biotechnology, Tokyo, Japan

3Division of Musculoskeletal Oncology, National Cancer Center Hospital, Tokyo, Japan

4Medical and Healthcare Business Development Center, New Business Development Division, Sharp Co., Chiba, Japan

*Corresponding Author:
Tadashi Kondo
Chief, Division of Pharmacoproteomics
National Cancer Center Research Institute, 5-1-1 Tsukiji
Chuo-ku, Tokyo 104-0045, Japan
Tel: +81-3-3542-2511 ext. 3004
Fax: +81-3-3547-5298
E-mail: [email protected]

Received Date: April 09, 2014; Accepted Date: May 12, 2014; Published Date: May 14, 2014

Citation: Tani Y, Tajima T, Kawai A, Unuma Y, Kinoshita H, et al. (2014) Evaluation of a Novel Automated Machine, the Auto2D, for Two-Dimensional Gel Electrophoresis. J Proteomics Bioinform 7:108-111. doi: 10.4172/jpb.1000310

Copyright: © 2014 Tani Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Two-dimensional gel electrophoresis (2D-PAGE) has been a commonly used technique for protein expression studies. Application of a fluorescent dye in 2D-PAGE, namely 2D-DIGE, has improved the performance of 2D-PAGE in terms of sensitivity, reproducibility and throughput. However, 2D-PAGE still requires a degree of skill, and is considerably time-consuming. Recently, a novel automated 2D-PAGE machine, the Auto2D, was developed for use in conventional protein expression studies. Here, we examined the performance of the Auto2D for 2D-DIGE from the viewpoint of proteome coverage, reproducibility, and throughput. We found that a single 2D image of osteosarcoma cells contained 521 protein spots. By running an identical sample, we found that the system reproducibility was high and the intensity of more than 409 protein spots was scattered within a 2-fold range of differences between experiments, with a correlation coefficient of at least 0.60. We also found that a single 2D-PAGE run took 140 min, and that 3 gels could be run per day. We conclude that the Auto2D can be used for conventional protein expression studies. On the other hand, as the number of observed proteins was quite limited, and only three gels can be run per day per device, the Auto2D may not be suitable for a large-scale proteomic study.

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