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Fundamental patterns underlying gene expression profiles: Simplicity from complexity
Open accessAbstract
Analysis of previously published sets of DNA microarray gene expression data by singular value decomposition has uncovered underlying patterns or “characteristic modes” in their temporal profiles. These patterns contribute unequally to the structure of the expression profiles. Moreover, the essential features of a given set of expression profiles are captured using just a small number of characteristic modes. This leads to the striking conclusion that the transcriptional response of a genome is orchestrated in a few fundamental patterns of gene expression change. These patterns are both simple and robust, dominating the alterations in expression of genes throughout the genome. Moreover, the characteristic modes of gene expression change in response to environmental perturbations are similar in such distant organisms as yeast and human cells. This analysis reveals simple regularities in the seemingly complex transcriptional transitions of diverse cells to new states, and these provide insights into the operation of the underlying genetic networks.
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Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Cited by
What is principal component analysis?
Ringnér, M. (2008) · Nature Biotechnology · doi:10.1038/nbt0308-303 · Cited by 2,407
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030161 · Cited by 1,930
Cluster analysis for gene expression data: a survey
Jiang, D., Tang, C., & Zhang, A. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.68 · Cited by 1,235
Geometric Interpretation of Gene Coexpression Network Analysis
Horvath, S., & Dong, J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000117 · Cited by 851
Shen, R., Olshen, A. B., & Ladanyi, M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp543 · Cited by 849
Metadata
- Authors
- Holter, N. S., Mitra, M., Maritan, A., Cieplak, M., Banavar, J. R., & Fedoroff, N. V.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-07-11
- Volume
- 97
- Issue
- 15
- Pages
- 8409-8414
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2113387206
- Cited by
- 476
- References
- 1
- FWCI
- 13.41
- Type
- journal article
- Language
- en
- Open access
- green
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- Holter, N. S., Mitra, M., Maritan, A., Cieplak, M., Banavar, J. R., & Fedoroff, N. V. (2000). Fundamental patterns underlying gene expression profiles: Simplicity from complexity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.150242097
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