Dataset Information

Mandlik2015 - Tristable genetic circuit of Leishmania

ABSTRACT: Vineetha Mandlik, Mayuri Gurav & Shailza Singh. Regulatory dynamics of network architecture and function in tristable genetic circuit of Leishmania: a mathematical biology approach. Journal of Biomolecular Structure and Dynamics 33, 12 (2015). The emerging field of synthetic biology has led to the design of tailor-made synthetic circuits for several therapeutic applications. Biological networks can be reprogramed by designing synthetic circuits that modulate the expression of target proteins. IPCS (inositol phosphorylceramide synthase) has been an attractive target in the sphingolipid metabolism of the parasite Leishmania. In this study, we have constructed a tristable circuit for the IPCS protein. The circuit has been validated and its long-term behavior has been assessed. The robustness and evolvability of the circuit has been estimated using evolutionary algorithms. The tristable synthetic circuit has been specifically designed to improve the rate of production of phosphatidylcholine: ceramide cholinephosphotransferase 4 (SLS4 protein). Site-specific delivery of the circuit into the parasite-infected macrophages could serve as a possible therapeutic intervention of the infectious disease 'Leishmaniasis'.

DISEASE(S): Leishmaniasis

SUBMITTER: Shailza Singh

PROVIDER: BIOMD0000000584 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Source:

			Action	DRS
	BIOMD0000000584?filename=BIOMD0000000584-biopax2.owl	Owl
	BIOMD0000000584?filename=BIOMD0000000584-biopax3.owl	Owl
	BIOMD0000000584?filename=BIOMD0000000584-matlab.m	Other
	BIOMD0000000584?filename=BIOMD0000000584.m	Other
	BIOMD0000000584?filename=BIOMD0000000584.ode	Other

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Publications

Regulatory dynamics of network architecture and function in tristable genetic circuit of Leishmania: a mathematical biology approach.

Mandlik Vineetha V Gurav Mayuri M Singh Shailza S

Journal of biomolecular structure & dynamics 20150902 12

The emerging field of synthetic biology has led to the design of tailor-made synthetic circuits for several therapeutic applications. Biological networks can be reprogramed by designing synthetic circuits that modulate the expression of target proteins. IPCS (inositol phosphorylceramide synthase) has been an attractive target in the sphingolipid metabolism of the parasite Leishmania. In this study, we have constructed a tristable circuit for the IPCS protein. The circuit has been validated and i ...[more]

PMID: 26264745

Similar Datasets

Project description:Mandlik2012 - Synthetic circuit of IPC synthase in Leishmania A genetic circuit for the targeted enzyme inositol phosphorylceramide (IPC) synthase belonging to the protozoan parasite Leishmania is constructed by Mandlik et al. (2013). This model is described in the article: Synthetic circuit of inositol phosphorylceramide synthase in Leishmania: a chemical biology approach Mandlik V., Limbachiya D., Shinde S., Mol M, S., Singh, S. J Chem Biol. January 2013 Abstract: Building circuits and studying their behavior in cells is a major goal of systems and synthetic biology. Synthetic biology enables the precise control of cellular states for systems studies, the discovery of novel parts, control strategies, and interactions for the design of robust synthetic systems. To the best of our knowledge, there are no literature reports for the synthetic circuit construction for protozoan parasites. This paper describes the construction of genetic circuit for the targeted enzyme inositol phosphorylceramide synthase belonging to the protozoan parasite Leishmania. To explore the dynamic nature of the circuit designed, simulation was done followed by circuit validation by qualitative and quantitative approaches. The genetic circuit designed for inositol phosphorylceramide synthase (Biomodels Database—MODEL1208030000) shows responsiveness, oscillatory and bistable behavior, together with intrinsic robustness. This model is hosted on BioModels Database and identified by: MODEL1208030000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.