Antonio del Sol Mesa
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| Faculté ou Centre | Luxembourg Centre for Systems Biomedicine | ||||||
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Université du Luxembourg 6, avenue du Swing L-4367 Belvaux |
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| Bureau sur le campus | BioTech II, 0.04C | ||||||
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| Téléphone | (+352) 46 66 44 6982 | ||||||
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Prof. Dr. Antonio del Sol
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Principal Investigator in the Computational Biology group (del Sol Lab)
Last updated on: lundi 24 juin 2019
2020
Synapse alterations precede neuronal damage and storage pathology in a human cerebral organoid model of CLN3-juvenile neuronal ceroid lipofuscinosis; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Acta Neuropathologica Communications (2020)
2019
Alzheimer’s disease-associated (hydroxy)methylomic changes in the brain and bloodin Clinical Epigenetics (2019)
Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networksin Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks (2019)
A general computational approach to predicting synergistic transcriptional cores that determine cellsubpopulation identitiesin Nucleic Acids Research (2019)
Computational Strategies for Niche-Dependent Cell Conversion to Assist Stem Cell Therapyin Trends in Biotechnology (2019)
Computational Strategies for Niche-Dependent Cell Conversion to Assist Stem Cell Therapy; ;
in Trends in Biotechnology (2019)
A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities;
in Nucleic Acids Research (2019)
An integrative method to predict signallingperturbations for cellular transitions; ; ;
in Nucleic Acids Research (2019)
2018
Modeling of Cellular Systems: Application in Stem Cell Research and Computational Disease Modeling;
Book published by Springer International Publishing (2018)
Transcriptional synergy as an emergent property defining cell subpopulation identity enables population shiftin Nature Communications (2018)
Integrative Computational Network Analysis Reveals Site-Specific Mediators of Inflammation in Alzheimer's Disease; ;
in Frontiers in Physiology (2018)
SeesawPred: A Web Application for Predicting Cell-fate Determinants in Cell Differentiation; ; ;
in Scientific Reports (2018)
Signaling-Dependent Control of Apical Membrane Size and Self-Renewal in Rosette-Stage Human Neuroepithelial Stem Cells; ; ; ; ; ;
in Stem Cell Reports (2018)
A complex of the ubiquitin ligase TRIM32 and the deubiquitinase USP7 balances the level of c-Myc ubiquitination and thereby determines neural stem cell fate specification; ; ; ; ; ; ;
in Cell Death & Differentiation (2018)
Transcriptional synergy as an emergent property defining cell subpopulation identity enables population shift; ; ; ; ; ;
in Nature Communications (2018)
2017
Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease; ; ; ; ; ;
in Neurobiology of Aging (2017), 58
Bioinformatics Tools for Genome-Wide Epigenetic Researchin Neuroepigenomics in Aging and Disease (2017)
Big-data-driven stem cell science and tissue engineering: vision and unique opportunitiesin Cell Stem Cell (2017)
RefBool: a reference-based algorithm for discretizing gene expression data; ;
in Bioinformatics (2017)
Prediction of Chromatin Accessibility in Gene-Regulatory Regions from Transcriptomics Data;
in Scientific Reports (2017)
Regulation of Fn14 Receptor and NF-κB Underlies Inflammation in Meniere’s Disease; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Frontiers in Immunology (2017)
2016
Exploring therapeutic viability of a non-dopaminergic target for Parkinson’s disease; ; ; ;
in Movement Disorders (2016), 31(2), 630
Prox1 is required for oligodendrocyte cell identity in adult neural stem cells of the subventricular zone; ; ; ; ; ; ; ; ; ; ; ;
in Stem Cells (2016)
Prediction of disease-gene-drug relationships following a differential network analysis; ;
in Cell Death & Disease (2016), 7
A generalized gene regulatory network model of stem cell differentiation for predicting lineage specifiers; ; ; ;
in Stem Cell Reports (2016)
A systems biology approach to identify niche determinants of cellular phenotypes; ; ;
in Stem Cell Research (2016)
2015
TRIM32 modulates pluripotency entry and exit by directly regulating Oct4 stability; ; ; ; ; ; ; ; ;
in Scientific Reports (2015)
The RNA helicase DDX6 regulates cell-fate specification in neural stem cells via miRNAsin Nucleic Acids Research (2015)
Transcriptome of human foetal heart compared with cardiomyocytes from pluripotent stem cells;
in Development (2015)
Stemness of the hybrid Epithelial/Mesenchymal State in Breast Cancer and Its Association with Poor Survival.; ; ; ; ; ; ; ;
in PLoS ONE (2015), 10(5), 0126522
Identification of large-scale genomic variation in cancer genomes using in silico reference models;
in Nucleic Acids Research (2015)
The RNA helicase DDX6 regulates cell-fate specification in neural stem cells via miRNAs; ; ; ; ;
in Nucleic Acids Research (2015)
A computational strategy for predicting lineage specifiers in stem cell subpopulations;
in Stem Cell Research (2015)
A differential network analysis approach for lineage specifier prediction in stem cell subpopulations; ; ; ;
in Systems Biology and Applications (2015)
Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET; ; ;
in PLoS ONE (2015), 10(6), 0127216
2014
Global DNA methylation and transcriptional analyses of human ESC-derived cardiomyocytesin Protein & Cell (2014)
Gene regulatory network analysis reveals differences in site-specific cell fate determination in mammalian brain; ; ;
in Frontiers in Cellular Neuroscience (2014)
Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Molecular Neurobiology (2014)
FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses.;
in BMC Bioinformatics (2014), 15(1),
Modelling Fanconi anemia pathogenesis and therapeutics using integration-free patient-derived iPSCs.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Nature communications (2014), 5
Hippocampal extracellular matrix levels and stochasticity in synaptic protein expression increase with age and are associated with age-dependent cognitive decline.; ; ; ; ; ; ; ; ; ; ;
in Molecular & cellular proteomics : MCP (2014)
2013
Predicting missing expression values in gene regulatory networks using a discrete logic modeling optimization guided by network stable states; ; ; ;
in Nucleic Acids Research (2013), 41(1), 8
Detecting cellular reprogramming determinants by differential stability analysis of gene regulatory networksin BMC Systems Biology (2013)
The Parkinson's Disease Map: A Framework for Integration, Curation and Exploration of Disease-related Pathways; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Poster (2013, March 09)
2012
Gene regulatory network analysis supports inflammation as a key neurodegeneration process in prion disease.; ; ; ;
in BMC Systems Biology (2012), 6(132),
PLAU inferred from a correlation network is critical for suppressor function of regulatory T cellsin Molecular Systems Biology (2012)
A Novel Network Integrating a miRNA-203/SNAI1 Feedback Loop which Regulates Epithelial to Mesenchymal Transition.; ; ; ; ; ; ;
in PLoS ONE (2012), 7(4), 35440
Evolutionary conservation and network structure characterize genes of phenotypic relevance for mitosis in human; ;
in PLoS ONE (2012), 7(5), 36488
Constructing a comprehensive map of Parkinson’s disease to elucidate underlying mechanisms of its multifaceted molecular pathology; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Poster (2012, August)
2011
PPARγ population shift produces disease-related changes in molecular networks associated with metabolic syndrome; ; ; ;
in Cell Death & Disease (2011), 2(8), 192
2010
2009
Methyl side-chain dynamics prediction based on protein structure;
in Bioinformatics (2009), 25(19), 2552-8
Energetic determinants of protein binding specificity: insights into protein interaction networks; ;
in Proteomics (2009), 9(7), 1744-53
Residues crucial for maintaining short paths in network communication mediate signaling in proteins; ; ;
in Molecular Systems Biology (2009), 2
The origin of Allosteric Modulation: Multiple Pre-existing Pathways Selection; ; ;
in Structure (2009), 17(8), 1042-1050
Protein allostery, signal transmission and dynamics: a classification scheme of allosteric mechanisms; ;
in Molecular Biosystems (2009), 5(3), 207-16
2008
Allostery: absence of a change in shape does not imply that allostery is not at play.; ;
in Journal of molecular biology (2008), 378(1), 1-11
2007
Modular architecture of protein structures and allosteric communications: potential implications for signaling proteins and regulatory linkages.; ; ;
in Genome biology (2007), 8(5), 92
The modular organization of domain structures: insights into protein-protein binding.;
in PLoS computational biology (2007), 3(12), 239
Ligand binding and circular permutation modify residue interaction network in DHFR.; ; ; ; ; ;
in PLoS computational biology (2007), 3(6), 117
2006
TreeDet: a web server to explore sequence space.; ; ; ; ; ; ;
in Nucleic acids research (2006), 34(Web Server issue), 110-5
Residue centrality, functionally important residues, and active site shape: analysis of enzyme and non-enzyme families.; ; ;
in Protein science : a publication of the Protein Society (2006), 15(9), 2120-8
Residues crucial for maintaining short paths in network communication mediate signaling in proteins.; ; ;
in Molecular systems biology (2006), 2
2005
A framework for computational and experimental methods: identifying dimerization residues in CCR chemokine receptors.; ; ; ; ; ; ; ;
in Bioinformatics (Oxford, England) (2005), 21 Suppl 2
Topology of small-world networks of protein-protein complex structures.; ;
in Bioinformatics (Oxford, England) (2005), 21(8), 1311-5
Small-world network approach to identify key residues in protein-protein interaction.;
in Proteins (2005), 58(3), 672-82
2004
Identification of amino acid residues crucial for chemokine receptor dimerization.; ; ; ; ; ; ; ; ; ;
in Nature immunology (2004), 5(2), 216-23
2003
Automatic methods for predicting functionally important residues.; ;
in Journal of molecular biology (2003), 326(4), 1289-302
