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Cited by 476

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Fundamental patterns underlying gene expression profiles: Simplicity from complexity

Open access
Holter, Neal S., Mitra, Madhusmita, Maritan, Amos, Cieplak, Marek, Banavar, Jayanth R., Fedoroff, Nina V.·2000·Proceedings of the National Academy of Sciences

Abstract

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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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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CoChat. (2026). Citation check: Fundamental patterns underlying gene expression profiles: Simplicity from complexity. https://app.cochat.ai/papers/10.1073/pnas.150242097
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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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