Search Results - "Hendrickx, Diana M."

Comparative transcriptome analysis of Parkinson's disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes by Hendrickx, Diana M, Glaab, Enrico

“…Parkinson's Disease (PD) and Hutchinson-Gilford Progeria Syndrome (HGPS) are two heterogeneous disorders, which both display molecular and clinical alterations…”
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Assessment of infant outgrowth of cow’s milk allergy in relation to the faecal microbiome and metaproteome by Hendrickx, Diana M., An, Ran, Boeren, Sjef, Mutte, Sumanth K., Lambert, Jolanda M., Belzer, Clara

“…Previous studies provide evidence for an association between modifications of the gut microbiota in early life and the development of food allergies. We…”
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Influence of sexual risk behaviour and STI co-infection dynamics on the evolution of HIV set point viral load in MSM by Hendrickx, Diana M., Delva, Wim, Hens, Niel

“…HIV viral load (VL) is an important predictor of HIV progression and transmission. Anti-retroviral therapy (ART) has been reported to reduce HIV transmission…”
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Comparison of two simulators for individual based models in HIV epidemiology in a population with HSV 2 in Yaoundé (Cameroon) by Hendrickx, Diana M., Sousa, João Dinis, Libin, Pieter J. K., Delva, Wim, Liesenborgs, Jori, Hens, Niel, Müller, Viktor, Vandamme, Anne-Mieke

“…Model comparisons have been widely used to guide intervention strategies to control infectious diseases. Agreement between different models is crucial for…”
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The impact of behavioral interventions on co-infection dynamics: An exploration of the effects of home isolation by Hendrickx, Diana M, Abrams, Steven, Hens, Niel

“…•Home isolation impacts the dynamics of infection spread via close contacts.•For multiple infections, the dynamic behaviour is interdependent.•The…”
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SimpactCyan 1.0: An Open-source Simulator for Individual-Based Models in HIV Epidemiology with R and Python Interfaces by Liesenborgs, Jori, Hendrickx, Diana M., Kuylen, Elise, Niyukuri, David, Hens, Niel, Delva, Wim

“…SimpactCyan is an open-source simulator for individual-based models in HIV epidemiology. Its core algorithm is written in C++ for computational efficiency,…”
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Current insights into cow's milk allergy in children: Microbiome, metabolome, and immune response—A systematic review by Savova, Mariyana V., Zhu, Pingping, Harms, Amy C., Molen, Renate G., Belzer, Clara, Hendrickx, Diana M.

“…The increasing prevalence of IgE‐mediated cow's milk allergy (CMA) in childhood is a worldwide health concern. There is a growing awareness that the gut…”
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Screening for hepatitis C at the emergency department: Should babyboomers also be screened in Belgium? by Bielen, Rob, Kremer, Cécile, Koc, Özgür M., Busschots, Dana, Hendrickx, Diana M., Vanelderen, Pascal, Hens, Niel, Nevens, Frederik, Robaeys, Geert

“…Background & Aims Patients are not screened adequately for hepatitis C virus infection in Belgium. In the USA, the Center for Disease Control recommends…”
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A New Synuclein-Transgenic Mouse Model for Early Parkinson’s Reveals Molecular Features of Preclinical Disease by Hendrickx, Diana M., Garcia, Pierre, Ashrafi, Amer, Sciortino, Alessia, Schmit, Kristopher J., Kollmus, Heike, Nicot, Nathalie, Kaoma, Tony, Vallar, Laurent, Buttini, Manuel, Glaab, Enrico

“…Understanding Parkinson’s disease (PD), in particular in its earliest phases, is important for diagnosis and treatment. However, human brain samples are…”
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DTNI: a novel toxicogenomics data analysis tool for identifying the molecular mechanisms underlying the adverse effects of toxic compounds by Hendrickx, Diana M., Souza, Terezinha, Jennen, Danyel G. J., Kleinjans, Jos C. S.

“…Unravelling gene regulatory networks (GRNs) influenced by chemicals is a major challenge in systems toxicology. Because toxicant-induced GRNs evolve over time…”
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diXa: a data infrastructure for chemical safety assessment by Hendrickx, Diana M, Aerts, Hugo J W L, Caiment, Florian, Clark, Dominic, Ebbels, Timothy M D, Evelo, Chris T, Gmuender, Hans, Hebels, Dennie G A J, Herwig, Ralf, Hescheler, Jürgen, Jennen, Danyel G J, Jetten, Marlon J A, Kanterakis, Stathis, Keun, Hector C, Matser, Vera, Overington, John P, Pilicheva, Ekaterina, Sarkans, Ugis, Segura-Lepe, Marcelo P, Sotiriadou, Isaia, Wittenberger, Timo, Wittwehr, Clemens, Zanzi, Antonella, Kleinjans, Jos C S

“…The field of toxicogenomics (the application of '-omics' technologies to risk assessment of compound toxicities) has expanded in the last decade, partly driven…”
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MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis by Willemsen, A Marcel, Hendrickx, Diana M, Hoefsloot, Huub C J, Hendriks, Margriet M W B, Wahl, S Aljoscha, Teusink, Bas, Smilde, Age K, van Kampen, Antoine H C

“…Understanding cellular adaptation to environmental changes is one of the major challenges in systems biology. To understand how cellular systems react towards…”
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Distinct genotype-dependent differences in transcriptome responses in humans exposed to environmental carcinogens by Espín-Pérez, Almudena, de Kok, Theo M C M, Jennen, Danyel G J, Hendrickx, Diana M, De Coster, Sam, Schoeters, Greet, Baeyens, Willy, van Larebeke, Nicolas, Kleinjans, Jos C S

“…Considering genetic variability in population studies focusing on the health risk assessment of exposure to environmental carcinogens may provide improved…”
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Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative study by Hendrickx, Diana M, Jennen, Danyel G J, Briedé, Jacob J, Cavill, Rachel, de Kok, Theo M, Kleinjans, Jos C S

“…Comparing time courses of gene expression with time courses of phenotypic data may provide new insights in cellular mechanisms. In this study, we compared the…”
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Workshop report: Identifying opportunities for global integration of toxicogenomics databases, 26–27 June 2013, Research Triangle Park, NC, USA by Hendrickx, Diana M., Boyles, Rebecca R., Kleinjans, Jos C. S., Dearry, Allen

“…A joint US-EU workshop on enhancing data sharing and exchange in toxicogenomics was held at the National Institute for Environmental Health Sciences…”
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Bayesian Network Inference Enables Unbiased Phenotypic Anchoring of Transcriptomic Responses to Cigarette Smoke in Humans by Jennen, Danyel G. J, van Leeuwen, Danitsja M, Hendrickx, Diana M, Gottschalk, Ralph W. H, van Delft, Joost H. M, Kleinjans, Jos C. S

“…Microarray-based transcriptomic analysis has been demonstrated to hold the opportunity to study the effects of human exposure to, e.g., chemical carcinogens at…”
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Global test for metabolic pathway differences between conditions by Hendrickx, Diana M., Hoefsloot, Huub C.J., Hendriks, Margriet M.W.B., Canelas, André B., Smilde, Age K.

“…[Display omitted] ► Goeman's global test is a group statistic for micro array data. ► This study examines if this test can be generalized for metabolomics…”
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Reverse engineering of metabolic networks, a critical assessment by Hendrickx, Diana M, Hendriks, Margriet M W B, Eilers, Paul H C, Smilde, Age K, Hoefsloot, Huub C J

“…Inferring metabolic networks from metabolite concentration data is a central topic in systems biology. Mathematical techniques to extract information about the…”
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Workshop report: Identifying opportunities for global integration of toxicogenomics databases, 26–27 June 2013, Research Triangle Park, NC, USA by Hendrickx, Diana M., Boyles, Rebecca R., Kleinjans, Jos C. S., Dearry, Allen

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Inferring differences in the distribution of reaction rates across conditions by Hendrickx, Diana M, Hoefsloot, Huub C J, Hendriks, Margriet M W B, Vis, Daniël J, Canelas, André B, Teusink, Bas, Smilde, Age K

“…Elucidating changes in the distribution of reaction rates in metabolic pathways under different conditions is a central challenge in systems biology. Here we…”
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