Abstract
Pattern formation has been studied for more than a century in biology. In recent years there are increasing interests in studying it using bacteria and synthetic biology tools to program intercellular communication and cellular response to environment. Quantitative measurement is critical to dissect the interplay between the synthetic gene circuits with underline cellular processes and verify the mechanism determining the pattern formation. Here, we describe simple optical setups for quantitative measurements of the cell density and growth and spatial–temporal dynamic characterization of E. coli pattern formation in soft agar plates.
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References
Wolpert L (2007) Principles of development, 3rd edn. Oxford University Press, Oxford
Chuong CM, Richardson MK (2009) Pattern formation today. Int J Dev Biol 53(5–6):653–658, doi: 082594 cc [pii] 10.1387/ijdb.082594cc
Davidson EH, Erwin DH (2006) Gene regulatory networks and the evolution of animal body plans. Science 311(5762):796–800, doi:311/5762/796 [pii] 10.1126/science.1113832
Held LI (1992) Models for embryonic periodicity. Monographs in developmental biology, vol 24. Karger, Basel
Kondo S, Miura T (2010) Reaction-diffusion model as a framework for understanding biological pattern formation. Science 329(5999):1616–1620, doi:329/5999/1616 [pii] 10.1126/science.1179047
Turing AM (1990) The chemical basis of morphogenesis. 1953. Bull Math Biol 52(1–2):153–197, discussion 119–152
Muller P, Rogers KW, Jordan BM, Lee JS, Robson D, Ramanathan S, Schier AF (2012) Differential diffusivity of Nodal and Lefty underlies a reaction-diffusion patterning system. Science 336(6082):721–724, doi:science.1221920 [pii] 10.1126/science.1221920
Elowitz M, Lim WA (2010) Build life to understand it. Nature 468(7326):889–890, doi:468889a [pii] 10.1038/468889a
Liu C, Fu X, Liu L, Ren X, Chau CK, Li S, Xiang L, Zeng H, Chen G, Tang LH, Lenz P, Cui X, Huang W, Hwa T, Huang JD (2011) Sequential establishment of stripe patterns in an expanding cell population. Science 334(6053):238–241, doi:334/6053/238 [pii] 10.1126/science.1209042
Acknowledgement
This work is supported by a Research Grants Council of Hong Kong General Research Fund (No. 767711) and a University of Hong Kong Faculty of Medicine Development Fund.
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Fu, X., Huang, W. (2014). Quantitative Measurement and Analysis in a Synthetic Pattern Formation Multicellular System. In: Sun, L., Shou, W. (eds) Engineering and Analyzing Multicellular Systems. Methods in Molecular Biology, vol 1151. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0554-6_10
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DOI: https://doi.org/10.1007/978-1-4939-0554-6_10
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Publisher Name: Humana Press, New York, NY
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Online ISBN: 978-1-4939-0554-6
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