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Systems Analysis of Plant Functional, Transcriptional, Physical Interaction, and Metabolic Networks

期刊

PLANT CELL
卷 24, 期 10, 页码 3859-3875

出版社

OXFORD UNIV PRESS INC
DOI: 10.1105/tpc.112.100776

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资金

  1. Biotechnology and Biological Science Research Council David Phillips Fellowship [BB_BB/H022457/1]
  2. Marie Curie European Reintegration grant [PERG06-GA-2009-256354]
  3. Biotechnology and Biological Science Research Council-funded U.S. Partnering Award [BB/J020117/1]
  4. Birmingham Fellowship
  5. Marie Curie International Incoming Fellowship
  6. National Science Foundation- Integrative Organismal Systems [1052395]
  7. National Science Foundation [IOS-1026003, MCB-1052348, MCB-820823, DBI-640769]
  8. Swiss National Science Foundation
  9. Swedish Research Council
  10. Direct For Biological Sciences
  11. Div Of Biological Infrastructure [0640769] Funding Source: National Science Foundation
  12. Division Of Integrative Organismal Systems
  13. Direct For Biological Sciences [1052395, 1026003] Funding Source: National Science Foundation
  14. Div Of Molecular and Cellular Bioscience
  15. Direct For Biological Sciences [1052348] Funding Source: National Science Foundation
  16. Div Of Molecular and Cellular Bioscience
  17. Direct For Biological Sciences [0820823] Funding Source: National Science Foundation

向作者/读者索取更多资源

Physiological responses, developmental programs, and cellular functions rely on complex networks of interactions at different levels and scales. Systems biology brings together high-throughput biochemical, genetic, and molecular approaches to generate omics data that can be analyzed and used in mathematical and computational models toward uncovering these networks on a global scale. Various approaches, including transcriptomics, proteomics, interactomics, and metabolomics, have been employed to obtain these data on the cellular, tissue, organ, and whole-plant level. We summarize progress on gene regulatory, cofunction, protein interaction, and metabolic networks. We also illustrate the main approaches that have been used to obtain these networks, with specific examples from Arabidopsis thaliana, and describe the pros and cons of each approach.

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