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Systems biology /
Systems biology is a relatively new biological study field that focuses on the systematic study of complex interactions in biological systems, thus using a new perspective (integration instead of reduction) to study them. Particularly from year 2000 onwards, the term is used widely in the bioscience...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Weinheim :
Wiley-VCH,
2012.
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| Colección: | Current topics from the encyclopedia of molecular cell biology and molecular medicine
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Systems Biology; Contents; Preface and Commentary; List of Contributors; Part I Biological Basis of Systems Biology; 1 Systems Biology; 1 Introduction; 2 What Is Systems Understanding?; 3 Why Are Biological Systems Different?; 3.1 Biological Complexity; 3.2 Global Properties of Biological Systems; 4 Systems Biology Modeling; 4.1 Network Biology; 4.2 Dynamic Network Models; 4.3 Reaction-Diffusion Models; 4.4 Holism versus Reductionism: The Global Dynamics of Networks; 4.5 Modeling Resources and Standards; 5 Future Prospects of Systems Biology; 5.1 Synthetic Biology
- 5.2 Conclusions: Where Are We?References; 2 Developmental Cell Biology; 1 Historical Perspective; 1.1 Origins of Cell Biology; 1.2 Origins of Developmental Biology; 1.3 Relationship between Cell and Developmental Biology; 2 Cell Activities Underlying Development; 2.1 Intracellular Signal Transduction; 2.2 Cell Signaling; 2.3 Cell-Cell Interactions; 2.4 Cell-Matrix Interaction; 2.3 Cell-Cell Interactions; 2.4 Cell-Matrix Interaction; 3 Cell Differentiation; 3 Cell Differentiation; 4 The Cell Cycle and Development; 4 The Cell Cycle and Development; 5 Organogenesis; 6 Stem Cells; 5 Organogenesis
- 6 Stem Cells7 Chimeras; 7 Chimeras; 8 microRNAs (miRNAs); 9 In vitro Fertilization; References; 8 microRNAs (miRNAs); 9 In vitro Fertilization; References; 3 Principles and Applications of Embryogenomics; 3 Principles and Applications of Embryogenomics; 1 Introduction; 1 Introduction; 2 Approaches; 2.1 Overview; 2 Approaches; 2.1 Overview; 2.2 Large-Scale Analysis of Gene Expression at the Transcriptome Level; 2.2 Large-Scale Analysis of Gene Expression at the Transcriptome Level; 2.3 Large-Scale Analysis of Gene Expression at the Proteome Level
- 2.4 Development and Evolution: Comparative Genomics2.5 Functional Genomics/Large-Scale Manipulation of Expression; 2.6 Computational Approaches; 3 Model Organisms for Embryogenomics; 3.1 Non-Mammalian Animals; 3.2 Mammalian; 3.3 Plants; 3.4 Suitability of Approaches for Particular Model Organisms Applied to the Study of Development; 4 Conclusions; References; 4 Interactome; 1 Introduction; 2 Experimental Techniques for DetectingProtein Interactions; 3 Computational Prediction of Protein Interactions; 3.1 Interaction Prediction from the Gene Patterns Across Genomes
- 3.2 Predicting Interaction from Sequence Coevolution3.3 Domain Interactions; 3.4 Coexpression Networks; 4 Exploring the Topology of the Interactome; 4.1 Global Properties; 4.2 Network Centrality and Protein Essentiality; 4.3 Network Modules; 4.4 Network Motifs and Related Concepts; 5 Comparing Protein-Protein Interaction Networks; 6 Databases of Protein and Domain Interactions; 7 Applications; 7.1 Predicting Protein Function; 7.2 Application to Human Diseases; 8 Looking Ahead: Towards the Dynamic Interactome; Acknowledgments; References; 5 Protein Abundance Variation; 1 Introduction