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Systems Biology Perspectives on Minimal and Simpler Cells

期刊

MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS
卷 78, 期 3, 页码 487-509

出版社

AMER SOC MICROBIOLOGY
DOI: 10.1128/MMBR.00050-13

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资金

  1. Fundacao para a Ciencia e Tecnologia, Portugal [SFRH/BD/81626/2011]
  2. Fundação para a Ciência e a Tecnologia [SFRH/BD/81626/2011] Funding Source: FCT

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The concept of the minimal cell has fascinated scientists for a long time, from both fundamental and applied points of view. This broad concept encompasses extreme reductions of genomes, the last universal common ancestor (LUCA), the creation of semiartificial cells, and the design of protocells and chassis cells. Here we review these different areas of research and identify common and complementary aspects of each one. We focus on systems biology, a discipline that is greatly facilitating the classical top-down and bottom-up approaches toward minimal cells. In addition, we also review the so-called middle-out approach and its contributions to the field with mathematical and computational models. Owing to the advances in genomics technologies, much of the work in this area has been centered on minimal genomes, or rather minimal gene sets, required to sustain life. Nevertheless, a fundamental expansion has been taking place in the last few years wherein the minimal gene set is viewed as a backbone of a more complex system. Complementing genomics, progress is being made in understanding the system-wide properties at the levels of the transcriptome, proteome, and metabolome. Network modeling approaches are enabling the integration of these different omics data sets toward an understanding of the complex molecular pathways connecting genotype to phenotype. We review key concepts central to the mapping and modeling of this complexity, which is at the heart of research on minimal cells. Finally, we discuss the distinction between minimizing the number of cellular components and minimizing cellular complexity, toward an improved understanding and utilization of minimal and simpler cells.

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