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ABSTRACT: Leishmania infantum isolates

PROVIDER: PRJNA1141353 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR30017370_1.fastq.gz	Fastqsanger.gz
	SRR30017370_2.fastq.gz	Fastqsanger.gz
	SRR30017371_1.fastq.gz	Fastqsanger.gz
	SRR30017371_2.fastq.gz	Fastqsanger.gz
	SRR30017372_1.fastq.gz	Fastqsanger.gz

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Effect of Leishmania infantum infection on the gene expression of murine bone marrow-derived dendritic cells

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Project description:This SuperSeries is composed of the following subset Series: GSE9947: Transcriptional analysis of Leishmania infantum methotrexate resistant strains using full-genome DNA microarrays GSE9948: Transcriptional analysis of Leishmania major methotrexate resistant strains using full-genome DNA microarrays Keywords: SuperSeries Refer to individual Series

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Project description:To ascertain which genes are involved in the outcome of Leishmania infantum infection and immunopathology of human visceral leishmaniasis (VL), we investigated the transcriptional profile of whole blood samples from patients diagnosed with active VL compared to asymptomatic individuals (positive serology for Leishmania, but without clinical signs of disease) and healthy control samples.

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Subramanian2017 - Metabolic adaptations of Leishmania parasite, Genome-scale constraint-based model of Leishmania infantum

Project description:The uploaded model is linked to the Scientific Reports article: Subramanian, A., Sarkar, R.R. Revealing the mystery of metabolic adaptations using a genome scale model of Leishmania infantum . Sci Rep 7, 10262 (2017). https://doi.org/10.1038/s41598-017-10743-x. Human macrophage phagolysosome and sandfly midgut provide antagonistic ecological niches for Leishmania parasites to survive and proliferate. Parasites optimize their metabolism to utilize the available inadequate resources by adapting to those environments. No genome-scale metabolic reconstruction was available for Leishmania infantum previously. Hence, we proposed a reconstructed genome-scale metabolic model for Leishmania infantum JPCM5, the analyses of which not only captures observations reported by metabolomics studies in other Leishmania species but also divulges novel features of the L. infantum metabolome. This manually reconstructed genome-scale metabolic network model (iAS556) contains 1260 reactions and 1160 metabolites. Our results indicate that Leishmania metabolism is organized in such a way that the parasite can select appropriate alternatives to compensate for limited external substrates. A dynamic non-essential amino acid motif exists within the network that promotes a restricted redistribution of resources to yield required essential metabolites. Further, subcellular compartments regulate this metabolic re-routing by reinforcing the physiological coupling of specific reactions. This unique metabolic organization is robust against accidental errors and provides a wide array of choices for the parasite to achieve optimal survival.

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