Intégration de données multi-échelles et extraction de connaissances en agronomie : exemples et perspectives
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Oral gallic acid improves metabolic profile by modulating SIRT1 expression in obese mice brown adipose tissue: A molecul...
...Published in Life sciences
The aim of the presente study was to examine the effects of oral gallic acid (GA) administration on the brown adipose tissue of obese mice fed with high-fat diet. New mechanisms and interactions pathways in thermogenesis were accessed through bioinformatics analyses. Swiss male mice were divided into four groups and fed during 60 days with: standar...
Exploration du rôle de l'épissage mineur dans le développement embryonnaire : modèle du syndrome de Taybi-Linder) (TALS)...
Le Syndrome de Taybi-Linder (TALS) est une maladie génétique rare affectant le développement embryonnaire, caractérisée par un nanisme microcéphalique sévère et un décès précoce des patients. Le gène muté dans ce syndrome est RNU4ATAC, qui encode un petit ARN nucléaire (snRNA) non-codant : U4atac. Ce snRNA est l’une des briques composant le spliceo...
Zlivanje bioloških podatkov z uporabo večmodalnih nevronskih mrež in razcepa matrik
Vsako leto se na področju bioinformatike izvede na stotine novih raziskav. Rezultati le teh so razdrobljeni po različnih podatkovnih bazah, ki so med seboj nepovezane, ali pa sploh niso dostopne preko spleta. Vse več znanstvenikov zanima, če bi lahko te podatke združili in izluščili odvisne medsebojne povezave med podatki. V magistrskem delu predla...
MicroRNAs expressed in depression and their associated pathways: A systematic review and a bioinformatics analysis.
Published in Journal of chemical neuroanatomy
Depression is a debilitating mental illness, one of the most prevalent worldwide. MicroRNAs have been studied to better understand the biological mechanisms that regulate this disease. This study review systematically the literature to identify which microRNAs are currently being associated with depression and their related pathways. The electronic...
Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
Published in BMC Cancer
BackgroundGastric cancer (GC) is one of the most commonly occuring gastrointestinal tumor types, and early diagnosis and operation have a notable effect on the prognosis of patients. Although certain markers, including HER2, VEGER-2, ERCC1 and Bcl-2, have been utilized in clinical practise to screen out new patients with GC, the results of using th...
In silico identification of novel Apolipoprotein E4 inhibitor for Alzheimer's disease therapy.
Published in Current computer-aided drug design
Apolipoprotein E4 (ApoE) is a major genetic risk factor due to its increase incidence of developing Alzheimer's disease (AD). ApoE plays a major role in the brain to maintain a constant supply of neuronal lipids for rapid and dynamic membrane synthesis. Aggregation of beta amyloid plaques (Aβ) and neurofibrillary tangles in the brain has responsibl...
Génomique des populations : étude comparative au sein du sous-phylum des Saccharomycotina
Les améliorations des technologies de séquençage offrent aujourd’hui la possibilité d’explorer la variabilité intraspécifique au sein d’une espèce à travers le séquençage complet du génome d’un grand nombre d’individus. Dans ce contexte, mes travaux de thèse se sont basés sur l’étude et la comparaison de la variabilité génomique à travers des étude...
A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection
Published in BMC Bioinformatics
BackgroundThe application of high-throughput sequencing in a broad range of quantitative genomic assays (e.g., DNA-seq, ChIP-seq) has created a high demand for the analysis of large-scale read-count data. Typically, the genome is divided into tiling windows and windowed read-count data is generated for the entire genome from which genomic signals a...
An integrative in silico approach to the structure of Omp33-36 in Acinetobacter baumannii.
Published in Computational biology and chemistry
Omp33-36 in A. baumannii, a bacterium causing serious nosocomial infections, is a virulence factor associated with the pathogen metabolic fitness as well as its adherence and invasion to human epithelial cells. This protein is also involved in interaction of the bacteria with host cells by binding to fibronectin. Moreover, Omp33-36 renders cytotoxi...
