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Fluorogenic DNA sequencing in PDMS microreactors.

ABSTRACT: We developed a multiplex sequencing-by-synthesis method combining terminal phosphate-labeled fluorogenic nucleotides (TPLFNs) and resealable polydimethylsiloxane (PDMS) microreactors. In the presence of phosphatase, primer extension by DNA polymerase using nonfluorescent TPLFNs generates fluorophores, which are confined in the microreactors and detected. We immobilized primed DNA templates in the microreactors, then sequentially introduced one of the four identically labeled TPLFNs, sealed the microreactors and recorded a fluorescence image after template-directed primer extension. With cycle times of <10 min, we demonstrate 30 base reads with ?99% raw accuracy. Our 'fluorogenic pyrosequencing' offers benefits of pyrosequencing, such as rapid turnaround, one-color detection and generation of native DNA, along with high detection sensitivity and simplicity of parallelization because simultaneous real-time monitoring of all microreactors is not required.

SUBMITTER: Sims PA

PROVIDER: S-EPMC3414871 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Fluorogenic DNA sequencing in PDMS microreactors.

Sims Peter A PA Greenleaf William J WJ Duan Haifeng H Xie X Sunney XS

Nature methods 20110612 7

We developed a multiplex sequencing-by-synthesis method combining terminal phosphate-labeled fluorogenic nucleotides (TPLFNs) and resealable polydimethylsiloxane (PDMS) microreactors. In the presence of phosphatase, primer extension by DNA polymerase using nonfluorescent TPLFNs generates fluorophores, which are confined in the microreactors and detected. We immobilized primed DNA templates in the microreactors, then sequentially introduced one of the four identically labeled TPLFNs, sealed the m ...[more]

PMID: 21666670

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Project description:Mathematical modeling of biochemical pathways is an important resource in Synthetic Biology, as the predictive power of simulating synthetic pathways represents an important step in the design of synthetic metabolons. In this paper, we are concerned with the mathematical modeling, simulation, and optimization of metabolic processes in biochemical microreactors able to carry out enzymatic reactions and to exchange metabolites with their surrounding medium. The results of the reported modeling approach are incorporated in the design of the first microreactor prototypes that are under construction. These microreactors consist of compartments separated by membranes carrying specific transporters for the input of substrates and export of products. Inside the compartments of the reactor multienzyme complexes assembled on nano-beads by peptide adapters are used to carry out metabolic reactions. The spatially resolved mathematical model describing the ongoing processes consists of a system of diffusion equations together with boundary and initial conditions. The boundary conditions model the exchange of metabolites with the neighboring compartments and the reactions at the surface of the nano-beads carrying the multienzyme complexes. Efficient and accurate approaches for numerical simulation of the mathematical model and for optimal design of the microreactor are developed. As a proof-of-concept scenario, a synthetic pathway for the conversion of sucrose to glucose-6-phosphate (G6P) was chosen. In this context, the mathematical model is employed to compute the spatio-temporal distributions of the metabolite concentrations, as well as application relevant quantities like the outflow rate of G6P. These computations are performed for different scenarios, where the number of beads as well as their loading capacity are varied. The computed metabolite distributions show spatial patterns, which differ for different experimental arrangements. Furthermore, the total output of G6P increases for scenarios where microcompartimentation of enzymes occurs. These results show that spatially resolved models are needed in the description of the conversion processes. Finally, the enzyme stoichiometry on the nano-beads is determined, which maximizes the production of glucose-6-phosphate.

Dataset Information

Fluorogenic DNA sequencing in PDMS microreactors.

Publications

Fluorogenic DNA sequencing in PDMS microreactors.

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