The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Microarray Analysis of Developing Arabidopsis Seeds
Open accessAbstract
To provide a broad analysis of gene expression in developing Arabidopsis seeds, microarrays have been produced that display approximately 2,600 seed-expressed genes. DNA for genes spotted on the arrays were selected from >10,000 clones partially sequenced from a cDNA library of developing seeds. Based on a series of controls, sensitivity of the arrays was estimated at one to two copies of mRNA per cell and cross hybridization was estimated to occur if closely related genes have >70% to 80% sequence identity. These arrays have been hybridized in a series of experiments with probes derived from seeds, leaves, and roots of Arabidopsis. Analysis of expression ratios between the different tissues has allowed the tissue-specific expression patterns of many hundreds of genes to be described for the first time. Approximately 25% of the 2,600 genes were expressed at ratios ≥ 2-fold higher in seeds than leaves or roots and 10% at ratios ≥ 10. Included in this list are a large number of proteins of unknown function, and potential regulatory factors such as protein kinases, phosphatases, and transcription factors. The Arabidopsis arrays were also found to be useful for transcriptional profiling of mRNA isolated from developing oilseed rape (Brassica napus) seeds and expression patterns correlated well between the two species.
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Cites
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
Systematic determination of genetic network architecture
Tavazoie, S., Hughes, J. D., Campbell, M. J., Cho, R. J., & Church, G. M. (1999) · Nature Genetics · doi:10.1038/10343 · Cited by 2,507
High density synthetic oligonucleotide arrays
Lipshutz, R. J., Fodor, S. P. A., Gingeras, T. R., & Lockhart, D. J. (1999) · Nature Genetics · doi:10.1038/4447 · Cited by 2,205
Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.
Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P. O., & Davis, R. W. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.20.10614 · Cited by 1,599
Hughes, J. D., Estep, P. W., Tavazoie, S., & Church, G. M. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.3519 · Cited by 1,010
REGULATION OF FATTY ACID SYNTHESIS
Ohlrogge, J. B., & Jaworski, J. G. (1997) · Annual Review of Plant Physiology and Plant Molecular Biology · doi:10.1146/annurev.arplant.48.1.109 · Cited by 739
Self-citationArabidopsis FAD2 gene encodes the enzyme that is essential for polyunsaturated lipid synthesis.
Okuley, J., Lightner, J., Feldmann, K., Yadav, N., Lark, E., & Browse, J. (1994) · The Plant Cell · doi:10.1105/tpc.6.1.147 · Cited by 704
Gene expression profiles of laser-captured adjacent neuronal subtypes
Luo, L., Salunga, R. C., Guo, H., Bittner, A., Joy, K. C., Galindo, J. E., Xiao, H., Rogers, K. E., Wan, J. S., Jackson, M. R., et al. (1999) · Nature Medicine · doi:10.1038/4806 · Cited by 692
Focks, N., & Benning, C. (1998) · Plant Physiology · doi:10.1104/pp.118.1.91 · Cited by 594
Self-citationDure, L., Greenway, S. C., & Galau, G. A. (1981) · Biochemistry · doi:10.1021/bi00517a033 · Cited by 515
Cited by
Chiang, H.-C., Lo, J.-C., & Yeh, K.-C. (2006) · Environmental Science & Technology · doi:10.1021/es061432y · Cited by 182
Focus Issue on Metabolism: Metabolites, Metabolites Everywhere
Fernie, A. R., & Pichersky, E. (2015) · Plant Physiology · doi:10.1104/pp.15.01499 · Cited by 61
Metadata
- Authors
- Girke, T., Todd, J., Ruuska, S., White, J., Benning, C., & Ohlrogge, J.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-12-01
- Volume
- 124
- Issue
- 4
- Pages
- 1570-1581
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2031761299
- Cited by
- 351
- References
- 26
- FWCI
- 57.21
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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