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Updated: Aug 7, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
From components to regulatory motifs in signalling networks
1Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA. Avi.Maayan@mssm.edu
Biochemistry and molecular biology now focus on cellular systems, not just components. Computational models integrating experimental data and literature will enhance understanding of mammalian cell workings.
Area of Science:
- Biochemistry
- Molecular Biology
- Systems Biology
- Computational Biology
Background:
- Decades of research have identified numerous cellular components.
- A shift towards understanding how these components form functional systems is emerging.
- Cell signaling research exemplifies this systems-level approach.
Purpose of the Study:
- To explore the holistic perspective in cell signaling research.
- To highlight the integration of multiple cellular components in information processing and phenotypic changes.
- To address the challenges posed by multivariate data in computational biology.
Main Methods:
- Adopting a holistic perspective in cell signaling research.
- Utilizing advancements in experimental techniques for multi-component measurement and visualization.
- Developing computational models for cellular systems.
Main Results:
- A growing emphasis on viewing cellular systems holistically.
- Increased diversity and accuracy in experimental techniques for simultaneous component analysis.
- Emergence of computational biology challenges and opportunities from high-throughput data.
Conclusions:
- Understanding cellular systems requires a holistic approach beyond individual components.
- Advanced experimental techniques generate complex data necessitating sophisticated computational models.
- Integrating high-throughput data with literature knowledge will accelerate the understanding of mammalian cell functions.
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