Functional genomics of Plasmodium falciparum using metabolic modelling and analysis

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Publications associées (31)

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Cancer is a leading cause of death in the world, and the mechanisms that underlie this disease are still not completely understood. As cancer develops and progresses, cells undergo a diversity of mutations that sustain their rapid proliferation and the eva ...

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redLips: a comprehensive mechanistic model of the lipid metabolic network of yeast

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Over the last decades, yeast has become a key model organism for the study of lipid biochemistry. Because the regulation of lipids has been closely linked to various physiopathologies, the study of these biomolecules could lead to new diagnostics and treat ...

2020

Mapping and Analysis of the Complexity of Lipid Metabolism for Applications in Health and Sustainability

Vassily Hatzimanikatis, Sofia Tsouka

Metabolism is a network of biotransformations that sustain life in cells. Over the past decades, metabolism has been studied in multiple contexts, ranging from medicine to industrial manufacturing. In particular, lipid metabolism has been linked to various ...

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The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models

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Systems biology has long been interested in models capturing both metabolism and expression in a cell. We propose here an implementation of the metabolism and expression model formalism (ME-models), which we call ETFL, for Expression and Thermodynamics Flu ...

Nature Research2020

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On January 22-24, 2020, scientific luminaries across the far-flung corners of chemical biology gathered in Geneva, Switzerland, to deliver their latest and greatest discoveries in the field. Generously supported by the Swiss National Science Foundation (SN ...

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MPGM: Scalable and Accurate Multiple Network Alignment

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Protein-protein interaction (PPI) network alignment is a canonical operation to transfer biological knowledge among species. The alignment of PPI-networks has many applications, such as the prediction of protein function, detection of conserved network mot ...

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Targeting liver stage malaria with metformin

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Despite an unprecedented 2 decades of success, the combat against malaria - the mosquito-transmitted disease caused by Plasmodium parasites - is no longer progressing. Efforts toward eradication are threatened by the lack of an effective vaccine and a rise ...

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Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage

Vassily Hatzimanikatis, Dominique Soldati-Favre, Anush Chiappino-Pepe, Vikash Kumar Pandey

Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to limitations in the throughput of phenotyping at these stages. To fill this gap, we followed more than 1,300 barcoded P. berghei mutants through the life cycle. We dis ...

2019

Phosphorylation of the VAR2CSA extracellular region is associated with enhanced adhesive properties to the placental receptor CSA

Marc Moniatte, Florence Armand, Romain Hamelin

Plasmodium falciparum is the main cause of disease and death from malaria. P. falciparum virulence resides in the ability of infected erythrocytes (IEs) to sequester in various tissues through the interaction between members of the polymorphic P. falciparu ...

2019

Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations

Ljubisa Miskovic, Vassily Hatzimanikatis, Meriç Ataman, Georgios Fengos, Tuure Eelis Hameri

Large-scale kinetic models are used for designing, predicting, and understanding the metabolic responses of living cells. Kinetic models are particularly attractive for the biosynthesis of target molecules in cells as they are typically better than other t ...

2019

Rapid identification and interpretation of gene‐environment associations using the new R.SamBada landscape genomics pipeline

Stéphane Joost, Sylvie Stucki, Estelle Rochat, Solange Catherine Gaillard, Oliver Michele Selmoni, Kevin Leempoel, Elia Vajana

Samβada is a genome‐environment association (GEA) software, designed to search for signatures of local adaptation. However, pre‐ and post‐processing of data can be labour‐intensive, preventing wider uptake of the method. We have now developed R.SamBada, an ...

2019

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