On a fundamental structure of gene networks in living cells

Proceedings of the National Academy of Sciences of the United States of America - Tập 109 Số 12 - Trang 4702-4707 - 2012
Nataly Kravchenko‐Balasha1,2, Alexander Levitzki2, Andrew S. Goldstein3, Varda Rotter4, Axel Groß1, F. Remacle5,1, R. D. Levine6,7,1
1The Fritz Haber Research Center for Molecular Dynamics, Institute of Chemistry, Hebrew University of Jerusalem, Jerusalem 91904, Israel;
2Unit of Cellular Signaling, Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences and
3Molecular Biology Institute
4Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel; and
5Département de Chimie, B6c, Université de Liège, B-4000 Liège, Belgium
6Crump Institute for Molecular Imaging, and
7Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095;

Tóm tắt

Computers are organized into hardware and software. Using a theoretical approach to identify patterns in gene expression in a variety of species, organs, and cell types, we found that biological systems similarly are comprised of a relatively unchanging hardware-like gene pattern. Orthogonal patterns of software-like transcripts vary greatly, even among tumors of the same type from different individuals. Two distinguishable classes could be identified within the hardware-like component: those transcripts that are highly expressed and stable and an adaptable subset with lower expression that respond to external stimuli. Importantly, we demonstrate that this structure is conserved across organisms. Deletions of transcripts from the highly stable core are predicted to result in cell mortality. The approach provides a conceptual thermodynamic-like framework for the analysis of gene-expression levels and networks and their variations in diseased cells.

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Proceedings of the National Academy of Sciences of the United States of America

Tập 109 Số 12

4702-4707

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