TY - JOUR
T1 - Partitioning Variability of a Compartmentalized in Vitro Transcriptional Thresholding Circuit
AU - Kapsner, Korbinian
AU - Simmel, Friedrich C.
N1 - Publisher Copyright:
© 2015 American Chemical Society.
PY - 2015/10/16
Y1 - 2015/10/16
N2 - Encapsulation of in vitro biochemical reaction circuits into small, cell-sized compartments can result in considerable variations in the dynamical properties of the circuits. As a model system, we here investigate a simple in vitro transcriptional reaction circuit, which generates an ultrasensitive fluorescence response when the concentration of an RNA transcript reaches a preset threshold. The reaction circuit is compartmentalized into spherical water-in-oil microemulsion droplets, and the reaction progress is monitored by fluorescence microscopy. A quantitative statistical analysis of thousands of individual droplets ranging in size from a few up to 20 Μm reveals a strong variability in effective RNA production rates, which by computational modeling is traced back to a larger-than-Poisson variability in RNAP activities in the droplets. The noise level in terms of the noise strength (the Fano factor) is strongly dependent on the ratio between transcription templates and polymerases, and increases for higher template concentrations.
AB - Encapsulation of in vitro biochemical reaction circuits into small, cell-sized compartments can result in considerable variations in the dynamical properties of the circuits. As a model system, we here investigate a simple in vitro transcriptional reaction circuit, which generates an ultrasensitive fluorescence response when the concentration of an RNA transcript reaches a preset threshold. The reaction circuit is compartmentalized into spherical water-in-oil microemulsion droplets, and the reaction progress is monitored by fluorescence microscopy. A quantitative statistical analysis of thousands of individual droplets ranging in size from a few up to 20 Μm reveals a strong variability in effective RNA production rates, which by computational modeling is traced back to a larger-than-Poisson variability in RNAP activities in the droplets. The noise level in terms of the noise strength (the Fano factor) is strongly dependent on the ratio between transcription templates and polymerases, and increases for higher template concentrations.
KW - emulsion droplets
KW - genelet circuits
KW - in vitro transcription
KW - stochasticity
UR - http://www.scopus.com/inward/record.url?scp=84944727753&partnerID=8YFLogxK
U2 - 10.1021/acssynbio.5b00051
DO - 10.1021/acssynbio.5b00051
M3 - Article
C2 - 25974035
AN - SCOPUS:84944727753
SN - 2161-5063
VL - 4
SP - 1136
EP - 1143
JO - ACS Synthetic Biology
JF - ACS Synthetic Biology
IS - 10
ER -