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Sample-Independent Expression Stability Analysis of Human Housekeeping Genes Using the GeNORM Algorithm

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Frontier and Future Development of Information Technology in Medicine and Education

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

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Abstract

The quantification of mRNAs has been used with great success in many medical research techniques. All of them can use housekeeping genes as internal standards. While most of the commonly used housekeeping genes may have varied expression stability in different human tissue samples or experimental conditions. In this study, 566 housekeeping genes were investigated by conducting a statistical analysis on a large human genome microarray database. The sample-independent expression stability value of every gene was calculated and ranked by using the GeNORM algorithm. Furthermore, microarray expression data of another mammalian model were used to evaluate the variation coefficient of the candidate genes expressed in the mouse models. Most of the candidate housekeeping genes exhibited similar expression stabilities in the two models. This analysis presents the sample-independent expression stability of a set of housekeeping genes.

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Acknowledgments

This research was supported by the Sciences and Technologies Projects of Science and Information Technology Bureau of GuangZhou. China (Grant No. 2005Z12E4023).

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Authors and Affiliations

  1. Department of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China

    Li Li, Xiaofang Mao, Qiang Gao & Yicheng Cao

Authors
  1. Li Li
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  2. Xiaofang Mao
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  3. Qiang Gao
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  4. Yicheng Cao
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Corresponding author

Correspondence to Yicheng Cao .

Editor information

Editors and Affiliations

  1. Cognitive Science, Xiamen University, Xiamen, People's Republic of China

    Shaozi Li

  2. Human Informatics and Cognitive Sciences, Waseda University Networked Information Systems Lab, Waseda, Japan

    Qun Jin

  3. School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan

    Xiaohong Jiang

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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Li, L., Mao, X., Gao, Q., Cao, Y. (2014). Sample-Independent Expression Stability Analysis of Human Housekeeping Genes Using the GeNORM Algorithm. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_8

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_8

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

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