| | |  | | | | Record from Web of Science® | | | | | | |
| Identifying regulatory networks by combinatorial analysis of promoter elements |
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| Author(s): Pilpel Y, Sudarsanam P, Church GM |
| Source: NATURE GENETICS Volume: 29 Issue: 2 Pages: 153-159 Published: OCT 2001 |
| Times Cited: 332 References: 39 |
| Abstract: Several computational methods based on microarray data are currently used to study genome-wide transcriptional regulation. Few studies, however, address the combinatorial nature of transcription, a well-established phenomenon in eukaryotes. Here we describe a new approach using microarray data to uncover novel functional motif combinations in the promoters of Saccharomyces cerevisiae. In addition to identifying novel motif combinations that affect expression patterns during the cell cycle, sporulation and various stress responses, we observed regulatory cross-talk among several of these processes. We have also generated motif-association maps that provide a global view of transcription networks. The maps are highly connected, suggesting that a small number of transcription factors are responsible for a complex set of expression patterns in diverse conditions. This approach may be useful for modeling transcriptional regulatory networks in more complex eukaryotes. |
| Document Type: Article |
| Language: English |
| Reprint Address: Church, GM (reprint author), Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA |
Addresses:
1. Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
2. Harvard Univ, Sch Med, Lipper Ctr Computat Genet, Boston, MA 02115 USA |
| Publisher: NATURE AMERICA INC, 345 PARK AVE SOUTH, NEW YORK, NY 10010-1707 USA |
| Subject Category: Genetics & Heredity |
| IDS Number: 478XP |
| ISSN: 1061-4036 |
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| | | | | | | | | Record from Web of Science® | | | | | | | | | |