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Kane, S.

Publications and source records attributed to Kane, S..

2 recordsLinked to original sources

Mathematical modelling of serine integrase - mediated gene assembly

Site-specific recombination promoted by serine integrases can be used for ordered assembly of DNA fragments into larger arrays. When a plasmid vector is included in the assembly, the circular product DNA molecules can transform E. coli cells. A convenient \"one-pot\" method using a single integrase involves recombination between pairs of matched orthogonal attachment sites, allowing assembly of up to six DNA fragments. However, the efficiency of assembly decreases as the number of fragments increases, due to accumulation of incorrect products in which recombination has occurred between mismatched sites. Here we use mathematical modelling to analyse published experimental data for the assembly reactions and suggest potential ways to improve assembly efficiency. We assume that unproductive synaptic complexes between pairs of mismatched sites become predominant as the number and diversity of sites increase. Our modelling predicts that the proportion of correct products can be improved by raising fragment DNA concentrations and lowering plasmid vector concentration. The assembly kinetics is affected by the inactivation of integrase in vitro. The model also predicts that the precision might be improved by redesigning the location of attachment sites on fragments to reduce the formation of the wrong circular products. Our preliminary experimental explorations of assembly with {phi}C31 integrase confirmed that assembly efficiency might be improved. However, optimization of efficiency would require more experimental work on the mechanisms of wrong product formation. The use of a more efficient integrase (such as Bxb1) might be a more promising approach to assembly optimization. The model might be easily extended for different integrases or/and different assembly strategies, such as those using multiple integrases or multiple substrate structures.

synthetic biology

RNAtor: an Android-based application for biologists to plan RNA sequencing experiments.

RNA sequencing (RNA-seq) is a powerful technology for identification of novel transcripts (coding, non-coding and splice variants), understanding of transcript structures and estimation of gene and/or allelic expression. There are specific challenges that biologists face in determining the number of replicates to use, total number of sequencing reads to generate for detecting marginally differentially expressed transcripts and the number of lanes in a sequencing flow cell to use for the production of right amount of information. Although past studies attempted answering some of these questions, there is a lack of accessible and biologist-friendly mobile applications to answer these questions. Keeping this in mind, we have developed RNAtor, a mobile application for Android platforms, to aid biologists in correctly designing their RNA-seq experiments. The recommendations from RNAtor are based on simulations and real data.\n\nAvailability and ImplementationThe Android version of RNAtor is available on Google Play Store and the code from GitHub (https://github.com/binaypanda/RNAtor).

bioinformatics