[go: up one dir, main page]

Skip to main content

Analysis of Fluctuation in Gene Expression Based on Continuous Culture System

  • Conference paper
Biologically Inspired Approaches to Advanced Information Technology (BioADIT 2006)

Abstract

The emergence of heterogeneous cellular state in uniform environment was studied. Using a continuous culture system which provides homogeneous culture environment, we investigated the fluctuation in expression level of glnA gene in a cell population. As results, we found that the expression level of glnA gene in the cells exhibit a large fluctuation (with two orders of magnitude of protein number), even though expression of the gene is essential for cellular growth and the environment is homogeneous. Furthermore, among several steady states, the transient processes of such heterogeneous cell population were investigated, by changing environmental conditions. The results showed that cells can respond to environmental changes even when their intra-cellular state is accompanied by fluctuations. These results may provide a clue to understand why biological systems can maintain and reproduce themselves robustly.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Natarajan, A., Srienc, F.: Glucose uptake rates of single E. coli cells grown in glucose-limited chemostat cultures. J. Microbiol Methods 42(1), 87–96 (2000)

    Article  Google Scholar 

  2. Natarajan, A., Srienc, F.: Dynamics of glucose uptake by single Escherichia coli cells. Metab Eng. 1(4), 320–333 (1999)

    Article  Google Scholar 

  3. Xu, W.-Z., Kashiwagi, A., Yomo, T., Urabe, I.: Fate of a mutant emerging at the initial stage of evolution. Researches on Population Ecology 38, 231–237 (1996)

    Article  Google Scholar 

  4. Zhang, G., Gurtu, V., Kain, S.R.: An enhanced green fluorescent protein allows sensitive detection of gene transfer in mammalian cells. Biochem. Biophys. Res. Commun. 227(3), 707–711 (1996)

    Article  Google Scholar 

  5. Atkinson, M.R., Blauwkamp, T.A., Bondarenko, V., Studitsky, V., Ninfa, A.J.: Activation of glnA,glnK, and nac Promoters as Escherihia coli Nitrogen Starvation. Journal of Bacteriology 184(19), 5358–5363 (2002)

    Article  Google Scholar 

  6. Ueno-Nishio, S., Backman, K.C., Magasanik, B.: Regulation at the glnL-Operator-Promoter of the Complex glnALG Operon of Escherichi coli. Journal of Bacterioloty, 1247–1251 (March 1983)

    Google Scholar 

  7. De Boar, H.A., Comstock, L.L., Vaser, M.: The tac promoter: A functional hybrid derived from the trp and lac promoters. PNAS 80(1), 21–25 (1983)

    Article  Google Scholar 

  8. Butler, G.J., Wolkowicz, G.S.K.: A mathematical model of the chemostat with a general class of functions describing nutrient uptake. SIAM Journal of Applied Mathematics 45, 138–151 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  9. Bailey, J.E., Ollis, D.F.: Biochemical Engineering Fundamentals. McGraw-Hill, New York (1986)

    Google Scholar 

  10. Rosenfeld, N., Young, J.W., Alon, U., Swain, R.S., Elowitz, M.B.: Gene Regulation at the Single-Cell Level. Science 307, 1962–1965 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yamada, T. et al. (2006). Analysis of Fluctuation in Gene Expression Based on Continuous Culture System. In: Ijspeert, A.J., Masuzawa, T., Kusumoto, S. (eds) Biologically Inspired Approaches to Advanced Information Technology. BioADIT 2006. Lecture Notes in Computer Science, vol 3853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613022_12

Download citation

  • DOI: https://doi.org/10.1007/11613022_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31253-6

  • Online ISBN: 978-3-540-32438-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics