Relationship Between Network Topology and Dynamics: Concepts from Genome-Wide Regulation of Cell States

Abstract

Despite accumulating data about the topology ("wiring diagram") of genome-wide gene regulatory networks little is known about the system behavior of such complex networks which produce the genome-wide molecular profiles that now can be measured with new genomic technologies. Using gene expression profiling to monitor multiple trajectories in genome-wise expression state space it was shown experimentally for the first time that a cell fate, in this case, neutrophil differentiation in a human cell line, represents a high-dimensional attractor state in gene expression state space - as predicted by theory. The use gene expression profiling for measuring trajectories necessitated the development of a computer program, GEDI to handle the new data structure. GEDI proved to be a powerful and versatile tool which allows intuitive and efficient inspection and analysis of large stacks of molecular profile data. Together with the insight in the constrained collective behavior of genes to attractors, this novel bioinformatics research tool will pave the way to applying molecular profiling methods for the high-throughput analysis of tissue response to unknown noxious agents. This in turn can be of great utility in the toxicological evaluation of new chemical and bioactive entities, incltding those relevant in chemical and biological warfare.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA436212

Entities

People

  • Sui Huang

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biological Warfare
  • Cell Line
  • Cells
  • Computational Biology
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Data Analysis
  • Dynamics
  • Gene Expression
  • Network Architecture
  • Network Topology
  • Regulations
  • Scientists
  • Systems Biology
  • Topology

Fields of Study

  • Biology

Readers

  • Control Systems Engineering.
  • Molecular and genetic basis of cancer.
  • Nanocomposite Materials Science

Technology Areas

  • Space