Transcriptome profiling to identify genes involved in peroxisome assembly and function

Smith, J. J., Marelli, M., Christmas, R. H., Vizeacoumar, F. J., Dilworth, D. J., Ideker, T., Galitski, T., Dimitrov, K., Rachubinski, R. A. and Aitchison, J. D. (2002) Transcriptome profiling to identify genes involved in peroxisome assembly and function. Journal of Cell Biology, 158 2: 259-271. doi:10.1083/jcb.200204059

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Author Smith, J. J.
Marelli, M.
Christmas, R. H.
Vizeacoumar, F. J.
Dilworth, D. J.
Ideker, T.
Galitski, T.
Dimitrov, K.
Rachubinski, R. A.
Aitchison, J. D.
Title Transcriptome profiling to identify genes involved in peroxisome assembly and function
Journal name Journal of Cell Biology   Check publisher's open access policy
ISSN 0021-9525
Publication date 2002
Sub-type Article (original research)
DOI 10.1083/jcb.200204059
Open Access Status File (Publisher version)
Volume 158
Issue 2
Start page 259
End page 271
Total pages 13
Place of publication New York, NY, United States
Publisher Rockefeller University Press
Language eng
Abstract Yeast cells were induced to proliferate peroxisomes, and microarray transcriptional profiling was used to identify PEX genes encoding peroxins involved in peroxisome assembly and genes involved in peroxisome function. Clustering algorithms identified 224 genes with expression profiles similar to those of genes encoding peroxisomal proteins and genes involved in peroxisome biogenesis. Several previously uncharacterized genes were identified, two of which, YPL112c and YOR084w, encode proteins of the peroxisomal membrane and matrix, respectively. Ypl112p, renamed Pex25p, is a novel peroxin required for the regulation of peroxisome size and maintenance. These studies demonstrate the utility of comparative gene profiling as an alternative to functional assays to identify genes with roles in peroxisome biogenesis.
Keyword Cell Biology
clustering algorithms
Nuclear-pore Complex
Targeting Signal
Pts1 Receptor
Cell Biology
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Australian Institute for Bioengineering and Nanotechnology Publications
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Citation counts: TR Web of Science Citation Count  Cited 131 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 19 Sep 2007, 15:30:38 EST