Fundamental patterns underlying gene expression profiles: Simplicity from complexity
- Neal S. Holter*,
- Madhusmita Mitra†,
- Amos Maritan‡,
- Marek Cieplak*,§,
- Jayanth R. Banavar*, and
- Nina V. Fedoroff†,¶
- *Department of Physics and Center for Materials Physics, 104 Davey Laboratory, and †Department of Biology and the Life Sciences Consortium, 519 Wartik Laboratory, The Pennsylvania State University, University Park, Pennsylvania 16802; ‡International School for Advanced Studies (S.I.S.S.A.), Via Beirut 2-4, 34014 Trieste, INFM and the Abdus Salam International Center for Theoretical Physics, Trieste, Italy; and §Institute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland
-
Contributed by Nina Fedoroff
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.
Footnotes
-
↵ ¶ To whom reprint requests should be addressed. E-mail: nvf1{at}psu.edu.
-
Article published online before print: Proc. Natl. Acad. Sci. USA, 10.1073/pnas.150242097.
-
Article and publication date are at www.pnas.org/cgi/doi/10.1073/pnas.150242097
- Abbreviation:
- SVD,
- singular value decomposition
- Copyright © The National Academy of Sciences








