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  • 1
    Publication Date: 2010-11-26
    Description: In bacteria, the rate of cell proliferation and the level of gene expression are intimately intertwined. Elucidating these relations is important both for understanding the physiological functions of endogenous genetic circuits and for designing robust synthetic systems. We describe a phenomenological study that reveals intrinsic constraints governing the allocation of resources toward protein synthesis and other aspects of cell growth. A theory incorporating these constraints can accurately predict how cell proliferation and gene expression affect one another, quantitatively accounting for the effect of translation-inhibiting antibiotics on gene expression and the effect of gratuitous protein expression on cell growth. The use of such empirical relations, analogous to phenomenological laws, may facilitate our understanding and manipulation of complex biological systems before underlying regulatory circuits are elucidated.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Scott, Matthew -- Gunderson, Carl W -- Mateescu, Eduard M -- Zhang, Zhongge -- Hwa, Terence -- R01GM77298/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2010 Nov 19;330(6007):1099-102. doi: 10.1126/science.1192588.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Theoretical Biological Physics, Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21097934" target="_blank"〉PubMed〈/a〉
    Keywords: *Cell Proliferation ; Escherichia coli K12/*genetics/*growth & development ; Escherichia coli Proteins/genetics ; Gene Expression/*physiology ; Models, Biological ; Protein Biosynthesis ; RNA, Bacterial/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2011-10-15
    Description: Periodic stripe patterns are ubiquitous in living organisms, yet the underlying developmental processes are complex and difficult to disentangle. We describe a synthetic genetic circuit that couples cell density and motility. This system enabled programmed Escherichia coli cells to form periodic stripes of high and low cell densities sequentially and autonomously. Theoretical and experimental analyses reveal that the spatial structure arises from a recurrent aggregation process at the front of the continuously expanding cell population. The number of stripes formed could be tuned by modulating the basal expression of a single gene. The results establish motility control as a simple route to establishing recurrent structures without requiring an extrinsic pacemaker.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Chenli -- Fu, Xiongfei -- Liu, Lizhong -- Ren, Xiaojing -- Chau, Carlos K L -- Li, Sihong -- Xiang, Lu -- Zeng, Hualing -- Chen, Guanhua -- Tang, Lei-Han -- Lenz, Peter -- Cui, Xiaodong -- Huang, Wei -- Hwa, Terence -- Huang, Jian-Dong -- New York, N.Y. -- Science. 2011 Oct 14;334(6053):238-41. doi: 10.1126/science.1209042.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, The University of Hong Kong, Pokfulam, Hong Kong, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21998392" target="_blank"〉PubMed〈/a〉
    Keywords: Acyl-Butyrolactones/metabolism ; Bacterial Load ; Cell Proliferation ; Culture Media ; Diffusion ; Escherichia coli K12/cytology/genetics/*growth & development/*physiology ; Gene Expression Regulation, Bacterial ; Gene Regulatory Networks ; Kinetics ; Models, Biological ; Movement ; Quorum Sensing ; Synthetic Biology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-12-04
    Description: Overflow metabolism refers to the seemingly wasteful strategy in which cells use fermentation instead of the more efficient respiration to generate energy, despite the availability of oxygen. Known as the Warburg effect in the context of cancer growth, this phenomenon occurs ubiquitously for fast-growing cells, including bacteria, fungi and mammalian cells, but its origin has remained unclear despite decades of research. Here we study metabolic overflow in Escherichia coli, and show that it is a global physiological response used to cope with changing proteomic demands of energy biogenesis and biomass synthesis under different growth conditions. A simple model of proteomic resource allocation can quantitatively account for all of the observed behaviours, and accurately predict responses to new perturbations. The key hypothesis of the model, that the proteome cost of energy biogenesis by respiration exceeds that by fermentation, is quantitatively confirmed by direct measurement of protein abundances via quantitative mass spectrometry.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Basan, Markus -- Hui, Sheng -- Okano, Hiroyuki -- Zhang, Zhongge -- Shen, Yang -- Williamson, James R -- Hwa, Terence -- R01-GM109069/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Dec 3;528(7580):99-104. doi: 10.1038/nature15765.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of California at San Diego, La Jolla, California 92093-0374, USA. ; Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland. ; Section of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, California 92093, USA. ; Department of Integrative Structural and Computational Biology, Department of Chemistry, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California 92037, USA. ; Institute for Theoretical Studies, ETH Zurich, 8092 Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26632588" target="_blank"〉PubMed〈/a〉
    Keywords: Acetic Acid/metabolism ; Biomass ; Cell Respiration ; Energy Metabolism ; Escherichia coli/growth & development/*metabolism ; Escherichia coli Proteins/*metabolism ; Fermentation ; Mass Spectrometry ; Models, Biological ; Neoplasms/metabolism/pathology ; Oxygen/metabolism ; Proteome/*metabolism ; Proteomics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2013-08-09
    Description: The cyclic AMP (cAMP)-dependent catabolite repression effect in Escherichia coli is among the most intensely studied regulatory processes in biology. However, the physiological function(s) of cAMP signalling and its molecular triggers remain elusive. Here we use a quantitative physiological approach to show that cAMP signalling tightly coordinates the expression of catabolic proteins with biosynthetic and ribosomal proteins, in accordance with the cellular metabolic needs during exponential growth. The expression of carbon catabolic genes increased linearly with decreasing growth rates upon limitation of carbon influx, but decreased linearly with decreasing growth rate upon limitation of nitrogen or sulphur influx. In contrast, the expression of biosynthetic genes showed the opposite linear growth-rate dependence as the catabolic genes. A coarse-grained mathematical model provides a quantitative framework for understanding and predicting gene expression responses to catabolic and anabolic limitations. A scheme of integral feedback control featuring the inhibition of cAMP signalling by metabolic precursors is proposed and validated. These results reveal a key physiological role of cAMP-dependent catabolite repression: to ensure that proteomic resources are spent on distinct metabolic sectors as needed in different nutrient environments. Our findings underscore the power of quantitative physiology in unravelling the underlying functions of complex molecular signalling networks.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038431/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038431/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉You, Conghui -- Okano, Hiroyuki -- Hui, Sheng -- Zhang, Zhongge -- Kim, Minsu -- Gunderson, Carl W -- Wang, Yi-Ping -- Lenz, Peter -- Yan, Dalai -- Hwa, Terence -- R01 GM095903/GM/NIGMS NIH HHS/ -- England -- Nature. 2013 Aug 15;500(7462):301-6. doi: 10.1038/nature12446. Epub 2013 Aug 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of California at San Diego, La Jolla, California 92093-0374, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23925119" target="_blank"〉PubMed〈/a〉
    Keywords: Cyclic AMP/*metabolism ; Escherichia coli/*genetics/*metabolism ; Escherichia coli Proteins/*genetics/*metabolism ; *Gene Expression Regulation, Bacterial ; Models, Biological ; *Proteome ; *Signal Transduction
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-11-30
    Description: To predict the emergence of antibiotic resistance, quantitative relations must be established between the fitness of drug-resistant organisms and the molecular mechanisms conferring resistance. These relations are often unknown and may depend on the state of bacterial growth. To bridge this gap, we have investigated Escherichia coli strains expressing resistance to translation-inhibiting antibiotics. We show that resistance expression and drug inhibition are linked in a positive feedback loop arising from an innate, global effect of drug-inhibited growth on gene expression. A quantitative model of bacterial growth based on this innate feedback accurately predicts the rich phenomena observed: a plateau-shaped fitness landscape, with an abrupt drop in the growth rates of cultures at a threshold drug concentration, and the coexistence of growing and nongrowing populations, that is, growth bistability, below the threshold.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059556/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059556/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Deris, J Barrett -- Kim, Minsu -- Zhang, Zhongge -- Okano, Hiroyuki -- Hermsen, Rutger -- Groisman, Alexander -- Hwa, Terence -- 1 U54 CA143803/CA/NCI NIH HHS/ -- R01 GM095903/GM/NIGMS NIH HHS/ -- R01-GM095903/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2013 Nov 29;342(6162):1237435. doi: 10.1126/science.1237435.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of California at San Diego, La Jolla, CA 92093-0374, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24288338" target="_blank"〉PubMed〈/a〉
    Keywords: *Adaptation, Physiological ; Chloramphenicol/metabolism/pharmacology ; Chloramphenicol O-Acetyltransferase/biosynthesis ; *Drug Resistance, Bacterial ; Escherichia coli/*drug effects/genetics/*growth & development ; Gene Expression Regulation, Bacterial/drug effects ; *Genetic Fitness ; Models, Biological ; Protein Biosynthesis/drug effects ; Protein Synthesis Inhibitors/metabolism/*pharmacology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Physica C: Superconductivity and its applications 235-240 (1994), S. 2967-2968 
    ISSN: 0921-4534
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Steroid Biochemistry 27 (1987), S. 343-350 
    ISSN: 0022-4731
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Physica D: Nonlinear Phenomena 38 (1989), S. 198-202 
    ISSN: 0167-2789
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 2012-06-18
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
    Publication Date: 2009-05-22
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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