Enrico Glaab
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| Faculté ou Centre | Luxembourg Centre for Systems Biomedicine | ||||
| Adresse postale |
Université du Luxembourg 6, avenue du Swing L-4367 Belvaux |
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| Bureau sur le campus | BioTech II Ketterthill, 4.17 | ||||
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| Téléphone | (+352) 46 66 44 6186 | ||||
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Dr Enrico Glaab
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Enrico Glaab is Deputy Course Director for the Master in Integrated Systems Biology and Principal Investigator of the Biomedical Data Science group (Glaab Lab). As a member of the Research Team in the National Centre of Excellence in Research on Parkinson’s Disease (NCER-PD) he works on the sub-projects Data & Analytics and Biomarkers & Mechanisms.
His research is centered around the development and application of software tools for the analysis of molecular, clinical and neuroimaging data for complex diseases, in particular for the neurodegenerative disorders Parkinson’s and Alzheimer’s disease. Key focus areas cover the design of graph-based algorithms to identify disease-associated perturbations in cellular processes and molecular sub-networks (software tools EnrichNet and GenePEN), machine learning methods to discover robust discriminative features for diagnostic biospecimen classification (software tools ArrayMining , PathVar , RepExplore, and approaches for network-guided candidate disease gene prioritization (software tools PathExpand and TopoGSA).
Dr. Glaab is pleased to consider applications from prospective PostDocs or PhD students in bioinformatics. Students interested in pursuing a master's degree at the interface of computational and experimental biology may want to consider our programme Master in Integrated Systems Biology.
Last updated on: lundi 08 juillet 2019
- 2017: Assistant Professor, Deputy Course Director and Principal Investigator
Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg - 2015: Research Scientist and Principal Investigator
Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg - 2011: Research Associate and Principal Investigator
Bioinformatics Core Group (group leader: Dr. Reinhard Schneider), Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- 2011: PhD in Computer Science / Bioinformatics
University of Nottingham, United Kingdom
Including the following doctoral fellowship periods:
2007 - 2009 Marie Curie Research Fellow
2009 - 2010 EPSRC Research Fellow
Doctoral thesis: “Analysing functional genomics data using novel ensemble, consensus and data fusion techniques”
- 2007: MSc. in Computational Molecular Biology (Honours Degree)
Saarland University, Saarbrücken, Germany
- 2006: BSc. in Computational Molecular Biology
Saarland University, Saarbrücken, Germany
Last updated on: 02 juil 2019
Currently taught courses at Bachelor and Master level:
Course: Top-down systems biology (ISB704, 30 hours lectures, 30 hours practicals)
Study programme: Master in Integrated Systems Biology
Semester: 2
Teacher(s): Enrico Glaab
Course: Master thesis (ISB901, 20 hours)
Study programme: Master in Integrated Systems Biology
Semester: 2
Teacher(s): Thomas Sauter, Enrico Glaab
Currently taught courses at PhD level:
Course: Statistical tests and statistical learning for omics data” (1 ECTS = 25 hours workload)
Study programme: part of the ELIXIR programme for life science training in Europe
Teachers: First day: Enrico Glaab; Second day: Muhammad Ali, Diana Hendrickx, Armin Rauschenberger, Léon-Charles Tranchevent
Previously taught courses at Bachelor and Master level:
Course: Bioinformatics I (BASV94)
Study programme: Bachelor en sciences de la vie - biologie
Semester: 4
Teacher(s): Antonio del Sol, Nikos Vlassis, Venkata Satagopam, Gokhan Ertaylan, Enrico Glaab
Year taught: 2013
Course: Genomics & Databases (ISB101)
Study programme: Master in Integrated Systems Biology
Semester: 2
Teacher(s): Reinhard Schneider, Venkata Satagopam, Janos Binder, Maria Secrier, Maria Biryukov, Enrico Glaab
Year taught: 2012
Course: Bioinformatics (G53BIO, University of Nottingham)
Study programme: Bachelor in Computer Science
Semester: 5
Teacher(s): Jaume Bacardit, Natalio Krasnogor, Enrico Glaab
Year taught: 2010
Last updated on: 06 déc 2019
- Winner of the international Active Motif Epigenetics Competition for the research project “EpiND: Network-based machine learning analysis of chromatin changes in Parkinson's disease and Progressive Supranuclear Palsy”, 2019
- Bayer Lindau Fellowship 2015 - chosen by the Lindau selection committee for participation in the Lindau Nobel Laureate Meeting 2015, Germany (sponsored by the Bayer Foundation), 2015
- Winner of the international Geoffrey Beene Alzheimer’s Global NeuroDiscovery Challenge on data mining for Alzheimer’s disease, by the Geoffrey Beene Foundation Alzheimer’s Initiative, the 21st Century BrainTrust, and the New York Academy of Sciences, 2013 (see: http://21cbt.org/21cbt-award
- Poster Prize Award at the Benelux Bioinformatics Conference, Nijmegen, Netherlands, 2012
- Short-term fellowship by the German Academic Exchange Service (DAAD), EMBL, Heidelberg, Germany, 2011
- ECCB 2010 Travel Fellowship Award to attend the European Conference on Computational Biology 2010, Ghent, Belgium, 2010
- EPSRC Research Fellowship (funded by the Engineering and Physical Sciences Research Council), 2009
- Peer Review Poster Award at Nottingham University Poster Prize event, Nottingham, UK, 2009
- Marie Curie Early Stage Training Research Fellowship (as part of the EU “Marie Curie Actions” programme), 2007
- Member of the German National Merit Foundation (Studienstiftung des Deutschen Volkes) during undergraduate and graduate education in Germany, 2004 – 2007 (now member of the Alumni Association)
- Member of the Honours Program for Graduate Students in Computer Science and Bioinformatics at Saarland University, Germany, 2006 - 2007
- Scholarship from the Chair of Bioinformatics at Saarland University, Germany (1000 € stipend for the students with the three best results in the Bioinformatics I exam), 2005
- Winner of the national competition "Jugend forscht" ("Youth Researches") in the category Mathematics/Computer Science (2001, while attending high school)
- Winner of the "Konrad Zuse Youth Prize" for Computer Science awarded by the Eduard-Rhein Trust (2001, while attending high school)
Last updated on: 02 juil 2019
- Lëtzebuerger Journal: "La statistique est partout", 21.10.2019
- Revue - De Magazin fir Lëtzebuerg: "Mind the Brain", 25.09.2019
- Science.lu: "Wege zur frühzeitigen Diagnose von Alzheimer-Erkrankungen mithilfe eines Videospiels", 21.09.2019
- Le Quotidien: “Maladie d’Alzheimer : une piste prometteuse trouvée à Belval“, 03/2017
- Letzebuerger Journal: “Den Proteinen auf der Spur [pdf]
- Drug Target Review: “Researchers find a potential target for anti-Alzheimer treatments”, 01/2017
- DDN News: “Understanding USP9 ”, 03/2017
- Associazione Alzheimer onlus: “Trovati due nuovi obiettivi potenziali per una cura dell'Alzheimer”, 01/2017
- MedIndia.net: “New Gene Could Be A Potential Target For Alzheimer’s Disease”, 01/2017
- NutecSciences.com: “Araştırmacılar Anti-Alzheimer Tedavileri Için Potansiyel Bir Hedef Buluyor ”, 01/2017
- NeuroScienceNews.com: “Potential Target For Alzheimer’s Treatment”, 01/2017
- Bionity.com: “Möglicher Angriffspunkt für Wirkstoffe gegen Alzheimer gefunden”, 01/2017
- ScienceDaily.com: “What hundreds of biomolecules tell us about our nerve cells”, 05/2015
- Science.lu: “LCSB-Wissenschaftler gewinnt weltweiten Forschungswettbewerb”, 11/2013
- Luxemburger Wort: “Kopf an Kopf mit Harvard”, 11/2013
- L’Essentiel: “Un chercheur de l'Uni fait mieux qu'Harvard”, 11/2013
- ScienceDaily.com: “Genetic 'wiring' of seeds revealed”, 11/2013
Last updated on: 06 déc 2019
2019
Computational analysis of molecular network perturbations in complex diseasesPresentation (2019, November 01)
Machine learning analysis of metabolomics and neuro-imaging data for Parkinson’s diseasePresentation (2019, January)
Transcriptome profiling data reveals Ubiquitin-Specific Peptidase 9 knockdown effects; ; ; ; ; ; ;
in Data in Brief (2019), 25(1), 104130
Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease; ; ; ; ; ; ; ; ;
in Neurobiology of Disease (2019), 124(1), 555-562
Mutations in RHOT1 disrupt ER-mitochondria contact sites interfering with calcium homeostasis and mitochondrial dynamics in Parkinson's disease.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Antioxidants & redox signaling (2019)
Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Cell Reports (2019), 29(7), 1767-1777
Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Parkinsonism and Related Disorders (2019)
Web-based QTL linkage analysis and bulk segregant analysis of yeast sequencing data; ; ; ; ;
in GigaScience (2019), 8(6), 060
2018
3D Cultures of Parkinson's Disease‐Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Advanced Science (2018)
Computational systems biology approaches for Parkinson's diseasein Cell and Tissue Research (2018), 373(1), 91109
Combined analysis of neuroimaging and metabolomics data for Parkinson’s diseasePresentation (2018, June 28)
Combining PET imaging and blood metabolomics data to improve machine learning models for Parkinson’s disease diagnosis; ; ; ; ; ; ; ;
Poster (2018, October 08)
FDG-PET and metabolomics in PD-associated GBA variants; ; ; ; ; ; ; ; ; ; ;
in Movement Disorders (2018), 33(2), 599
A rare loss-of function variant of ADAM17 is associated with late-onset familial Alzheimer disease; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Molecular Psychiatry (2018)
A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Archives of Toxicology (2018), 92(3), 12251247
Combining Metabolomics and Neuroimaging in mid-stage Parkinson’s Disease. A Proof of Concept for Cross-Fertilization.; ; ; ; ; ; ;
in Neurology (2018), 90(15), 3066
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
NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Neurobiology of Aging (2017)
Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson's disease; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Brain : A Journal of Neurology (2017), 140(9), 2444-2459
IDENTIFICATION OF A RARE GENE VARIANT THAT IS ASSOCIATED WITH FAMILIAL ALZHEIMER DISEASE AND REGULATES APP EXPRESSION; ; ; ; ; ; ; ; ; ; ; ; ;
in Alzheimer's & Dementia : The Journal of the Alzheimer's Association (2017), 13(7, Supplement), 648
Gender-specific expression of ubiquitin-specific peptidase 9 modulates tau expression and phosphorylation: possible implications for tauopathies; ; ; ; ; ; ;
in Molecular Neurobiology (2017), 54(10), 79797993
Molecular Identification of D-Ribulokinase in Budding Yeast and Mammals; ;
in Journal of Biological Chemistry (2017), 292(3), 1005-1028
2016
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Alzheimer's & Dementia : The Journal of the Alzheimer's Association (2016), 12(6), 645-653
Exploring therapeutic viability of a non-dopaminergic target for Parkinson’s disease; ; ; ;
in Movement Disorders (2016), 31(2), 630
Mitochondrial Defects and Neurodegeneration in Mice Overexpressing Wild Type or G399S Mutant HtrA2; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Human Molecular Genetics (2016), 25(3), 459-71
Analysis of protein druggability in the alpha-synuclein regulatory networkPresentation (2016, October 07)
A study of the molecular mechanisms underlying the response of human colorectal adenomacarcinoma enterocytes to prebiotics and probiotics; ; ; ; ; ; ; ; ; ;
Poster (2016, June)
Conversion of non-proliferating astrocytes into neurogenic neural stem cells: control by FGF2 and IFN-gamma; ; ; ; ; ; ; ; ; ;
in Stem Cells (2016), 34(12), 28612874
Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells; ; ; ; ; ; ; ; ; ; ; ;
in Glia (2016), 64(5), 695-715
Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research; ; ; ; ; ; ; ; ; ; ;
in Molecular Neurobiology (2016), 53(5), 2927-2935
A microfluidics-based in vitro model of the gastrointestinal human-microbe interface.; ; ; ; ; ; ; ; ; ; ;
in Nature communications (2016), 7
2015
Transcriptomic analyses of primary astrocytes under TNFα treatment; ; ; ; ; ;
in Genomics Data (2015), 7
Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation; ; ; ; ; ; ; ;
in Molecular Neurobiology (2015), 53(8), 5041-5055
Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classificationin Briefings in Bioinformatics (2015)
Building a virtual ligand screening pipeline using free software: a surveyin Briefings in Bioinformatics (2015)
Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease;
in Neurobiology of Disease (2015), 74
RepExplore: Addressing technical replicate variance in proteomics and metabolomics data analysis;
in Bioinformatics (2015), 31(13), 2235
The Mouse Brain Metabolome: Region-Specific Signatures and Response to Excitotoxic Neuronal Injury; ; ; ; ; ; ; ; ;
in American Journal of Pathology (2015), 185(6), 1699-1712
Inference of longevity-related genes from a robust co-expression network of seed maturation identifies new regulators linking seed storability to biotic defense-related pathways; ; ; ; ; ; ; ; ; ;
in Plant Cell (2015), 27(10), 2692-2708
GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net;
in Statistical Applications in Genetics and Molecular Biology (2015), 14(2), 221-224
2014
Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Molecular Neurobiology (2014)
Integrated bioinformatics analysis of functional omics and GWAS data for neurodegenerative disordersPresentation (2014, October 01)
2013
Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology; ; ; ; ; ; ; ; ; ; ; ;
in Prokop, Ales; Csukás, Bela (Eds.) Systems Biology: Integrative Biology and Simulation Tools (2013)
Network analysis for systems biology; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Prokop, Aleš; Csukás (Eds.) Springer book in Systems Biology, Vol.1: Systems Biology:, Integrative Biology and Simulation Tools (2013)
On different aspects of network analysis in systems biology; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Systems Biology (2013), 1
Meta-omic Analyses of the Microbiome in a Family Study of Diabetes Mellitus; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Poster (2013, October)
Condensing the omics fog of microbial communities; ; ; ;
in Trends in Microbiology (2013), 21(7), 325333
The Parkinson's Disease Map: A Framework for Integration, Curation and Exploration of Disease-related Pathways; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Poster (2013, March 09)
Network deregulation analysis in complex diseases via the pairwise elastic net;
in Proc 8th BeNeLux Bioinformatics Conference (2013)
2012
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data; ; ;
in PLoS ONE (2012), 7(7), 39932-39932
EnrichNet: network-based gene set enrichment analysis; ; ; ;
in Bioinformatics (2012), 28(18), 451-457
PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data;
in Bioinformatics (2012)
Constructing a comprehensive map of Parkinson’s disease to elucidate underlying mechanisms of its multifaceted molecular pathology; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Poster (2012, August)
2011
Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets; ; ; ;
in Plant Cell (2011)
A genome-wide network model capturing seed germination reveals co-ordinated regulation of plant cellular phase transitions; ; ; ; ; ; ; ;
in Proceedings of the National Academy of Sciences of the United States of America (2011), 108(23), 9709-9714
A low protein diet during early gestation in sheep detrimentally impacts hepatic glucose metabolism in the adult offspring; ; ; ;
in Proceedings of the Nutrition Society 2011 (2011)
RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype; ; ; ; ; ; ; ; ; ;
in Breast Cancer Research and Treatment (2011), 128(2), 315-326
2010
Extending pathways and processes using molecular interaction networks to analyse cancer genome data; ; ;
in BMC Bioinformatics (2010), 11(1), 597-597
Combining chondrocyte gene expression, literature mining and pathway/network analysis to extract biological insights from small-scale microarray data; ; ; ;
in Osteoarthritis and Cartilage (2010), 18(2), 169
Learning pathway-based decision rules to classify microarray cancer samples; ;
in German Conference on Bioinformatics 2010, Lecture Notes in Informatics (LNI) (2010)
VRMLGen: An R package for 3D Data Visualization on the Web; ;
in Journal of Statistical Software (2010), 36(8), 1-18
Luminal-like oestrogen receptor-positive breast cancer: identification of prognostic biological subclasses; ; ; ; ; ; ; ; ;
in European Journal of Cancer Supplements (2010), 8(3), 91
2009
ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization; ;
in BMC Bioinformatics (2009), 10(1), 358-358
