Discovery of novel transcription control relationships with gene regulatory networks generated from multiple-disruption full genome expression libraries

Sachiyo Aburatani, Kosuke Tashiro, Christopher J. Savoie, Mayumi Nishizawa, Kaori Hayashi, Yuzuru Ito, Shigeru Muta, Kiyoshi Yamamoto, Miki Ogawa, Akiko Enomoto, Momoka Masaki, Shouji Watanabe, Yukihiro Maki, Yoriko Takahashi, Yukihiro Eguchi, Yoshiyuki Sakaki, Satoru Kuhara

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Gene regulatory networks elucidated from strategic, genome-wide experimental data can aid in the discovery of novel gene function information and expression regulation events from observation of transcriptional regulation among genes of known and unknown biological function. To create a reliable and comprehensive data set for the elucidation of transcription regulation networks, we conducted systematic genome-wide disruption expression experiments of yeast on 118 genes with known involvement in transcription regulation. We report several novel regulatory relationships between known transcription factors and other genes with previously unknown biological function discovered with this expression library. Here we report the downstream regulatory subnetworks for UME6 and MET28. The elucidated network topology among these genes demonstrates MET28's role as a nodal point between genes involved in cell division and those involved in DNA repair mechanisms.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalDNA Research
Volume10
Issue number1
DOIs
Publication statusPublished - 2003

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

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    Aburatani, S., Tashiro, K., Savoie, C. J., Nishizawa, M., Hayashi, K., Ito, Y., Muta, S., Yamamoto, K., Ogawa, M., Enomoto, A., Masaki, M., Watanabe, S., Maki, Y., Takahashi, Y., Eguchi, Y., Sakaki, Y., & Kuhara, S. (2003). Discovery of novel transcription control relationships with gene regulatory networks generated from multiple-disruption full genome expression libraries. DNA Research, 10(1), 1-8. https://doi.org/10.1093/dnares/10.1.1