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Review
. 2008 Mar;1(2):137-48.
doi: 10.1111/j.1751-7915.2007.00021.x.

Microbial whole-cell arrays

Affiliations
Review

Microbial whole-cell arrays

Tal Elad et al. Microb Biotechnol. 2008 Mar.

Abstract

The coming of age of whole-cell biosensors, combined with the continuing advances in array technologies, has prepared the ground for the next step in the evolution of both disciplines - the whole-cell array. In the present review, we highlight the state-of-the-art in the different disciplines essential for a functional bacterial array. These include the genetic engineering of the biological components, their immobilization in different polymers, technologies for live cell deposition and patterning on different types of solid surfaces, and cellular viability maintenance. Also reviewed are the types of signals emitted by the reporter cell arrays, some of the transduction methodologies for reading these signals and the mathematical approaches proposed for their analysis. Finally, we review some of the potential applications for bacterial cell arrays, and list the future needs for their maturation: a richer arsenal of high-performance reporter strains, better methodologies for their incorporation into hardware platforms, design of appropriate detection circuits, the continuing development of dedicated algorithms for multiplex signal analysis and - most importantly - enhanced long-term maintenance of viability and activity on the fabricated biochips.

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Figures

Figure 1
Figure 1
Generalized concept of cell array biochip technology.
Figure 2
Figure 2
Bayesian decision boundary for potassium cyanide (red, ▪) and nitrogen mustard (blue, ▴) based on the luminescent response of two reporter strains: one harbouring a grpE1::lux fusion (x‐axis) and the other a nhoA1::lux fusion (y‐axis).
A. Raw data (40 repeats).
B. Estimated state‐conditional probability density functions assuming normal distribution and identical covariance matrices.
C. Decision boundary assuming equal a priori probabilities.
D. Estimated densities, a look from above.
RLU, bioluminescence intensity, expressed in arbitrary Relative Light Units.

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