Literature DB >> 17327691

Optimization of an animal test protocol for toxicogenomics studies (I); requirement study of a protocol.

Kayo Sumida1, Koichi Saito, Kenji Oeda, Masanori Otsuka, Kazunari Tsujimura, Hideki Miyaura, Masaru Sekijima, Koji Nakayama, Yukiko Kawano, Yuki Kawakami, Makoto Asamoto, Tomoyuki Shirai.   

Abstract

Toxicogenomics is a promising new tool for prediction of chemical toxicities including carcinogenicity in a relatively short period. However, it is important to develop a reliable animal test protocol for toxicogenomics studies. The preparation of RNA and tissues is also crucial, since it greatly influences outcomes of gene expression analysis. In the present study, we examined an animal test protocol by comparing gene expression data from different conditions and proposed a reliable animal test protocol for toxicogenomic studies. With regard to the preparation of tissues and RNA, here we present evidence that quality of RNA and tissues is well-preserved even after freezer storage for up to 2.5 years. Gene expression levels were compared using a GeneChip System (RGU34A, Affymetrix, Santa Clara, CA, USA) between RNA samples that were freshly prepared, stored at -80 degrees C or re-prepared from tissue kept at -20 degrees C. None showed degradation and no significant differences in expression were evident among the three sets of samples. The data demonstrate that gene expression analysis by DNA microarray is suitable for RNA or tissues that have been stored at an appropriate temperature.

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Year:  2007        PMID: 17327691     DOI: 10.2131/jts.32.19

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  2 in total

1.  Discrimination of carcinogens by hepatic transcript profiling in rats following 28-day administration.

Authors:  Hiroshi Matsumoto; Yoshikuni Yakabe; Koichi Saito; Kayo Sumida; Masaru Sekijima; Koji Nakayama; Hideki Miyaura; Fumiyo Saito; Masanori Otsuka; Tomoyuki Shirai
Journal:  Cancer Inform       Date:  2009-11-13

2.  Coincidence between transcriptome analyses on different microarray platforms using a parametric framework.

Authors:  Tomokazu Konishi; Fumikazu Konishi; Shigeru Takasaki; Kohei Inoue; Koji Nakayama; Akihiko Konagaya
Journal:  PLoS One       Date:  2008-10-29       Impact factor: 3.240

  2 in total

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