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Publications associées (30)

pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis

Vassily Hatzimanikatis, Meriç Ataman, Georgios Fengos, Keng Cher Soh, Pierre Guy Rémy Salvy

Summary: pyTFA and matTFA are the first published implementations of the original TFA paper. Specifically, they include explicit formulation of Gibbs energies and metabolite concentrations, which enables straightforward integration of metabolite concentrat ...

2018

Separation of blood microsamples by exploiting sedimentation at the microscale

Philippe Renaud, David Forchelet

Microsample analysis is highly bene cial in blood-based testing where cutting-edge bioanalytical technologies enable the analysis of volumes down to a few tens of microliters. Despite the availability of analytical methods, the di culty in obtaining high-q ...

Nature Research2018

Analysis of cellular and drug action mechanisms in the malaria parasites using systems biology approaches

Anush Chiappino-Pepe

Malaria puts at risk of infection half of the world population and still kills around half a million people every year. The rapid and worrisome rise of drug-resistant malaria parasites hinders the treatment of malaria and calls for a global collaboration t ...

EPFL2018

Monitoring Membrane Lipidome Turnover by Metabolic N-15 Labeling and Shotgun Ultra-High-Resolution Orbitrap Fourier Transform Mass Spectrometry

Yury Tsybin, Konstantin Nagornov, Kristina Srzentic

Lipidomes undergo permanent extensive remodeling, but how the turnover rate differs between lipid classes and molecular species is poorly understood. We employed metabolic N-15 labeling and shotgun ultra-high-resolution mass spectrometry (sUHR) to quantify ...

Amer Chemical Soc2017

Validation of the Mass-Extraction-Window for Quantitative Methods Using Liquid Chromatography High Resolution Mass Spectrometry

Laure Menin, Anne-Laure Gassner, Bertrand Rochat

A paradigm shift is underway in the field of quantitative liquid chromatography-mass spectrometry (LC-MS) analysis thanks to the arrival of recent high-resolution mass spectrometers (HRMS). The capability of HRMS to perform sensitive and reliable quantific ...

Amer Chemical Soc2016

(1)H and (31)P magnetic resonance spectroscopy in a rat model of chronic hepatic encephalopathy: in vivo longitudinal measurements of brain energy metabolism

Cristina Ramona Cudalbu, Bernard Lanz, Veronika Rackayová, Corina Mihaela Berset

Chronic liver disease (CLD) leads to a spectrum of neuropsychiatric disorders named hepatic encephalopathy (HE). Even though brain energy metabolism is believed to be altered in chronic HE, few studies have explored energy metabolism in CLD-induced HE, and ...

Springer Verlag2016

iSCHRUNK – In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

Vassily Hatzimanikatis, Ljubisa Miskovic, Stefano Andreozzi

Accurate determination of physiological states of cellular metabolism requires detailed information about metabolic fluxes, metabolite concentrations and distribution of enzyme states. Integration of fluxomics and metabolomics data, and thermodynamics-base ...

Academic Press Inc Elsevier Science2016

Synthesis and Applications of Silyl 2-Methylprop-2-ene-1-sulfinates in Preparative Silylation and GC-Derivatization Reactions of Polyols and Carbohydrates

Pierre Vogel, Maris Turks, Dean Markovic, Sylvain Claude Laclef

Trimethylsilyl, triethylsilyl, tert-butyldimethylsilyl, and triisopropylsilyl 2-methylprop-2-ene-1-sulfinates were prepared through (CuOTf)(2)C6H6-catalyzed sila-ene reactions of the corresponding methallylsilanes with SO2 at 50 degrees C. Sterically hinde ...

Wiley-V C H Verlag Gmbh2016

Implantable Multi-panel Platform for Continuous Monitoring of Exogenous and Endogenous Metabolites for Applications in Personalized Medicine

Camilla Baj-Rossi

Nowadays, scientific advances are leading to the discovery of newer, better, more targeted treatments that will improve the human health. However, despite the promising results and the major advantages in treatments offered to patients, these personalized ...

EPFL2015

A simple model-based approach to variable selection in classification and clustering

Anthony Christopher Davison, Vahid Partovi Nia

Clustering and classification of replicated data is often performed using classical techniques that inappropriately treat the data as unreplicated, or by complex modern ones that are computationally demanding. In this paper, we introduce a simple approach ...

Wiley-Blackwell2015

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