The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Dynamics of Gene Expression Revealed by Comparison of Serial Analysis of Gene Expression Transcript Profiles from Yeast Grown on Two Different Carbon Sources
Open accessAbstract
We describe a genome-wide characterization of mRNA transcript levels in yeast grown on the fatty acid oleate, determined using Serial Analysis of Gene Expression (SAGE). Comparison of this SAGE library with that reported for glucose grown cells revealed the dramatic adaptive response of yeast to a change in carbon source. A major fraction (>20%) of the 15,000 mRNA molecules in a yeast cell comprised differentially expressed transcripts, which were derived from only 2% of the total number of ∼6300 yeast genes. Most of the mRNAs that were differentially expressed code for enzymes or for other proteins participating in metabolism (e.g., metabolite transporters). In oleate-grown cells, this was exemplified by the huge increase of mRNAs encoding the peroxisomal β-oxidation enzymes required for degradation of fatty acids. The data provide evidence for the existence of redox shuttles across organellar membranes that involve peroxisomal, cytoplasmic, and mitochondrial enzymes. We also analyzed the mRNA profile of a mutant strain with deletions of the PIP2and OAF1 genes, encoding transcription factors required for induction of genes encoding peroxisomal proteins. Induction of genes under the immediate control of these factors was abolished; other genes were up-regulated, indicating an adaptive response to the changed metabolism imposed by the genetic impairment. We describe a statistical method for analysis of data obtained by SAGE.
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Cites
Practical Statistics for Medical Research.
Walter, S. D., & Altman, D. G. (1992) · Biometrics · doi:10.2307/2532320 · Cited by 11,668
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale
DeRisi, J. L., Iyer, V. R., & Brown, P. O. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,456
Serial Analysis of Gene Expression
Velculescu, V. E., Zhang, L., Vogelstein, B., & Kinzler, K. W. (1995) · Science · doi:10.1126/science.270.5235.484 · Cited by 3,711
The Significance of Digital Gene Expression Profiles
Audic, S., & Claverie, J.-M. (1997) · Genome Research · doi:10.1101/gr.7.10.986 · Cited by 2,786
A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle
Cho, R. J., Campbell, M. J., Winzeler, E. A., Steinmetz, L., Conway, A., Wodicka, L., Wolfsberg, T. G., Gabrielian, A. E., Landsman, D., Lockhart, D. J., et al. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80114-8 · Cited by 2,046
Dissecting the regulatory circuitry of a eukaryotic genome
Holstege, F. C. P., Jennings, E. G., Wyrick, J. J., Lee, T. I., Hengartner, C. J., Green, M. R., Golub, T. R., Lander, E. S., & Young, R. A. (1998) · Cell · doi:10.1016/s0092-8674(00)81641-4 · Cited by 1,670
Gene Expression Profiles in Normal and Cancer Cells
Zhang, L., Zhou, W., Velculescu, V. E., Kern, S. E., Hruban, R. H., Hamilton, S. R., Vogelstein, B., & Kinzler, K. W. (1997) · Science · doi:10.1126/science.276.5316.1268 · Cited by 1,184
Genome-wide expression monitoring in Saccharomyces cerevisiae
Wodicka, L., Dong, H., Mittmann, M., Ho, M.-H., & Lockhart, D. J. (1997) · Nature Biotechnology · doi:10.1038/nbt1297-1359 · Cited by 973
Characterization of the Yeast Transcriptome
Velculescu, V. E., Zhang, L., Zhou, W., Vogelstein, J., Basrai, M. A., Bassett, D. E., Hieter, P., Vogelstein, B., & Kinzler, K. W. (1997) · Cell · doi:10.1016/s0092-8674(00)81845-0 · Cited by 973
Cited by
Lu, P., Vogel, C., Wang, R., Yao, X., & Marcotte, E. M. (2007) · Nature Biotechnology · doi:10.1038/nbt1270 · Cited by 1,139
Small-sample estimation of negative binomial dispersion, with applications to SAGE data
Robinson, M. D., & Smyth, G. K. (2007) · Biostatistics · doi:10.1093/biostatistics/kxm030 · Cited by 1,073
The Transcriptome Profile of Human Embryonic Stem Cells as Defined by SAGE
Richards, M., Tan, S., Tan, J., Chan, W., & Bongso, A. (2004) · STEM CELLS · doi:10.1634/stemcells.22-1-51 · Cited by 435
Statistical Design and Analysis of RNA Sequencing Data
Auer, P. L., & Doerge, R. W. (2010) · Genetics · doi:10.1534/genetics.110.114983 · Cited by 393
Genome-wide responses to mitochondrial dysfunction
Epstein, C. B., Waddle, J. A., Hale, W., Davé, V., Thornton, J., Macatee, T. L., Garner, H. R., & Butow, R. A. (2001) · Molecular Biology of the Cell · doi:10.1091/mbc.12.2.297 · Cited by 389
Metadata
- Authors
- Kal, A. J., van Zonneveld, A. J., Benes, V., van den Berg, M., Koerkamp, M. G., Albermann, K., Strack, N., Ruijter, J. M., Richter, A., Dujon, B., Ansorge, W., & Tabak, H. F.
- Venue
- Molecular Biology of the Cell
- Published
- 1999-06
- Volume
- 10
- Issue
- 6
- Pages
- 1859-1872
- ISSN
- 1059-1524 (ISSN-L)
- 1939-4586
- OpenAlex
- W2141889578
- Cited by
- 346
- References
- 43
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- green
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- Kal, A. J., van Zonneveld, A. J., Benes, V., van den Berg, M., Koerkamp, M. G., Albermann, K., Strack, N., Ruijter, J. M., Richter, A., Dujon, B., Ansorge, W., & Tabak, H. F. (1999). Dynamics of Gene Expression Revealed by Comparison of Serial Analysis of Gene Expression Transcript Profiles from Yeast Grown on Two Different Carbon Sources. Molecular Biology of the Cell. https://doi.org/10.1091/mbc.10.6.1859
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