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DTSTART;TZID=Europe/Paris:20190208T150000
DTEND;TZID=Europe/Paris:20190208T160000
DTSTAMP:20260419T003727
CREATED:20190118T140421Z
LAST-MODIFIED:20190128T094433Z
UID:864-1549638000-1549641600@ibsquare.be
SUMMARY:Seminar Karoline Faust (KUL) : Emergent behaviour in a synthetic gut community
DESCRIPTION:Due to its complexity and the impact of the human host\, it is hard to obtain a mechanistic understanding of the gut microbial community from sequencing data alone. Synthetic communities are an excellent tool to complement in vivo studies. Their dynamics can be accurately monitored while exerting a degree of control that is impossible to achieve in vivo.\nHere\, I will present an in vitro study of a synthetic microbial community consisting of three human gut bacterial strains. We monitored each community member growing in isolation and in co-culture and developed a kinetic model to describe their dynamics.\nThe experiments validate cross-feeding interactions and highlight the special role of Blautia hydrogenotrophica as an interaction partner. When parameterized on mono- and bi-culture data\, our model describes well the observed community dynamics\, but fails to predict community dynamics from mono-cultures alone. RNA-seq applied to mono- and tri-culture samples confirmed a change in behavior. In conclusion\, we showed that gut bacteria respond to their interaction partners\, giving rise to emergent behaviour.
URL:https://ibsquare.be/event/seminar-karoline-faust-kul/
LOCATION:Forum F\, ULB
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20181116
DTEND;VALUE=DATE:20181117
DTSTAMP:20260419T003727
CREATED:20181104T123949Z
LAST-MODIFIED:20190118T131417Z
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SUMMARY:(IB)2 Research Day 2018
DESCRIPTION:9.30 – 9.35 Welcome \n  \n9.35 – 10.35 Keynote 1 – Carl Herrmann\, University of Heidelberg \nMulti-omics data integration for single-cell genomics \n  \n10.35 – 11.05 Charlotte Nachtegael\, Unraveling the oligogenic potential \nof developmental disorders \nIB2\, ULB \n  \n11.05 – 11.30 Coffee Break \n  \n11.30 – 12.00 Youssef Bouysran\, Bioinformatic investigations of missense mutations \nin the FBN1 gene \nIB2\, ULB \n  \n12.00 – 12.30 Nathaniel Mon Père\, Quantitative Models for Cell Differentiation in Hematopoiesis \nIB2\, ULB \n  \n12.30 – 12.45 Flash presentations \n  \n12.45 – 14.00 Lunch break and poster session \n  \n14.00 – 15.00 Keynote 2 – Hervé Isambert\, Institut Curie Paris \nLearning causal and non-causal networks from large scale genomic and \nclinical data (Abstract below) \n  \n15.00 – 15.30 Gipsi Lima Mendez\, Ocean Eco-system biology through integration \nof heterogeneous data \nIB2\, ULB \n  \n15.30 – 16.00 Closing remarks / Future of the (IB)2 \n  \n16.00 17.00 Musical Coffee \n  \n(IB)² – Interuniversity Institute of Bioinformatics in Brussels http://ibsquare.be\nContact: Sophie de Buyl sophie.de.Buyl at vub.be\, Matthieu Defrance matthieu.dc.defrance at ulb.ac.be \nLearning causal and non-causal networks from large scale genomic and clinical data\, Hervé Issambert\, Curie Institute \nNetwork reconstruction aims at disentangling direct from indirect dependences in information-rich data and has become ubiquitous to analyze the rapidly expanding resources of genomic and clinical data. However\, most network inference methods are restricted to specific types of data and assume either causal or non-causal graphical models a priori. We have developed an information-based approach\, which reconstructs causal\, non-causal or mixed networks from large scale genomic or clinical data\, without the need for an a priori choice on the causal or non-causal nature of reconstructed networks. Starting from a fully connected graph\, it first removes dispensable edges by iteratively subtracting the most significant information contributions from indirect paths between each pair of nodes. The remaining edges are then filtered based on their confidence assessment or oriented based on the signature of causality in observational data. This computational approach outperforms or matches state-of-the-art methods for either causal (eg regulatory interaction) or non-causal (eg protein contact map) network reconstruction. In the talk\, I will present different applications on a broad range of biological and clinical data\, from single-cell transcriptomics and genomic alterations in tumor progression to long term evolution of vertebrates through whole genome duplication.
URL:https://ibsquare.be/event/ib2-research-day-2018/
LOCATION:Groene Zaal\, Congrescentrum U-Residence\, VUB Campus\, Generaal Jacqueslaan 271\, Brussel\, 1050\, Belgique
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180223
DTEND;VALUE=DATE:20180224
DTSTAMP:20260419T003727
CREATED:20181105T071601Z
LAST-MODIFIED:20190118T131425Z
UID:647-1519344000-1519430399@ibsquare.be
SUMMARY:Multiple mechanisms of cardiac arrhythmias studied using anatomically accurate modeling.
DESCRIPTION:Cardiac arrhythmias account for about 1 death in 10 in industrialized countries. Although cardiac arrhythmias has been studied for well over a century\, their underlying mechanisms remain largely unknown. Over the years\, several factors that favor arrhythmias initiation were established. Among them are ionic and dynamical heterogeneity\, remodeling and fibrosis of cardiac tissue. In addition a lot of attention was given to the arrhythmias which occur due to channelopathies which result in the long QT syndrome. In my talk I will present our recent studies on role of these arrhythmogenic factors performed using anatomically accurate model of ventricles of the human heart developed in our group.
URL:https://ibsquare.be/event/multiple-mechanisms-of-cardiac-arrhythmias-studied-using-anatomically-accurate-modeling/
LOCATION:UGent
CATEGORIES:Seminar
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