1
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Increased expression of BDNF mRNA in the frontal cortex of autistic patients. Behav Brain Res 2019; 359:903-909. [DOI: 10.1016/j.bbr.2018.06.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 06/15/2018] [Accepted: 06/21/2018] [Indexed: 12/20/2022]
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2
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Maeder CI, Kim JI, Liang X, Kaganovsky K, Shen A, Li Q, Li Z, Wang S, Xu XZS, Li JB, Xiang YK, Ding JB, Shen K. The THO Complex Coordinates Transcripts for Synapse Development and Dopamine Neuron Survival. Cell 2018; 174:1436-1449.e20. [PMID: 30146163 DOI: 10.1016/j.cell.2018.07.046] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 05/11/2018] [Accepted: 07/26/2018] [Indexed: 01/07/2023]
Abstract
Synaptic vesicle and active zone proteins are required for synaptogenesis. The molecular mechanisms for coordinated synthesis of these proteins are not understood. Using forward genetic screens, we identified the conserved THO nuclear export complex (THOC) as an important regulator of presynapse development in C. elegans dopaminergic neurons. In THOC mutants, synaptic messenger RNAs are retained in the nucleus, resulting in dramatic decrease of synaptic protein expression, near complete loss of synapses, and compromised dopamine function. CRE binding protein (CREB) interacts with THOC to mark synaptic transcripts for efficient nuclear export. Deletion of Thoc5, a THOC subunit, in mouse dopaminergic neurons causes severe defects in synapse maintenance and subsequent neuronal death in the substantia nigra compacta. These cellular defects lead to abrogated dopamine release, ataxia, and animal death. Together, our results argue that nuclear export mechanisms can select specific mRNAs and be a rate-limiting step for neuronal differentiation and survival.
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Affiliation(s)
- Celine I Maeder
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Jae-Ick Kim
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xing Liang
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Konstantin Kaganovsky
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ao Shen
- Department of Pharmacology, University of California, Davis, Davis, CA 95616, USA
| | - Qin Li
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Zhaoyu Li
- Life Sciences Institute and Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sui Wang
- Department of Opthalmology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - X Z Shawn Xu
- Life Sciences Institute and Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jin Billy Li
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Yang Kevin Xiang
- Department of Pharmacology, University of California, Davis, Davis, CA 95616, USA
| | - Jun B Ding
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Kang Shen
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
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3
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Coordinate expression of pan-neuronal and functional signature genes in sympathetic neurons. Cell Tissue Res 2017; 370:227-241. [PMID: 28936781 DOI: 10.1007/s00441-017-2688-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 08/27/2017] [Indexed: 12/20/2022]
Abstract
Neuron subtypes of the mature nervous system differ in the expression of characteristic marker genes while they share the expression of generic neuronal genes. The regulatory logic that maintains subtype-specific and pan-neuronal genes is not well understood. To begin to address this issue, we analyze RNA sequencing results from whole sympathetic ganglia and single sympathetic neurons in the mouse. We focus on gene products involved in the neuronal cytoskeleton, neurotransmitter synthesis and storage, transmitter release and reception and electrical information processing. We find a particular high correlation in the expression of stathmin 2 and several members of the tubulin beta family, classical pan-neuronal markers. Noradrenergic transmitter-synthesizing enzymes and transporters are also well correlated in their cellular transcript levels. In addition, noradrenergic marker transcript levels correlate well with selected pan-neuronal markers. Such a correlation in transcript levels is also seen between a number of selected ion channel, receptor and synaptic protein genes. These results provide the foundation for the analyses of the coordinated expression of downstream target genes in nerve cells.
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Poon VY, Gu M, Ji F, VanDongen AM, Fivaz M. miR-27b shapes the presynaptic transcriptome and influences neurotransmission by silencing the polycomb group protein Bmi1. BMC Genomics 2016; 17:777. [PMID: 27716060 PMCID: PMC5050705 DOI: 10.1186/s12864-016-3139-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 09/28/2016] [Indexed: 12/02/2022] Open
Abstract
Background MicroRNAs (miRNAs) are short non-coding RNAs that are emerging as important post-transcriptional regulators of neuronal and synaptic development. The precise impact of miRNAs on presynaptic function and neurotransmission remains, however, poorly understood. Results Here, we identify miR-27b—an abundant neuronal miRNA implicated in neurological disorders—as a global regulator of the presynaptic transcriptome. miR-27b influences the expression of three quarters of genes associated with presynaptic function in cortical neurons. Contrary to expectation, a large majority of these genes are up-regulated by miR-27b. This stimulatory effect is mediated by miR-27b-directed silencing of several transcriptional repressors that cooperate to suppress the presynaptic transcriptome. The strongest repressive activity appears to be mediated by Bmi1, a component of the polycomb repressive complex implicated in self-renewal of neural stem cells. miR-27b knockdown leads to reduced synaptogenesis and to a marked decrease in neural network activity, which is fully restored by RNAi-mediated silencing of Bmi1. Conclusions We conclude that silencing of Bmi1 by miR-27b relieves repression of the presynaptic transcriptome and supports neurotransmission in cortical networks. These results expand the repressive activity of Bmi1 to genes involved in synaptic function and identify a unique post-transcriptional circuitry that stimulates expression of synaptic genes and promotes synapse differentiation. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3139-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Vivian Y Poon
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Minxia Gu
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Fang Ji
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Antonius M VanDongen
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Marc Fivaz
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore. .,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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5
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Stefanakis N, Carrera I, Hobert O. Regulatory Logic of Pan-Neuronal Gene Expression in C. elegans. Neuron 2015; 87:733-50. [PMID: 26291158 DOI: 10.1016/j.neuron.2015.07.031] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 07/01/2015] [Accepted: 07/20/2015] [Indexed: 01/03/2023]
Abstract
While neuronal cell types display an astounding degree of phenotypic diversity, most if not all neuron types share a core panel of terminal features. However, little is known about how pan-neuronal expression patterns are genetically programmed. Through an extensive analysis of the cis-regulatory control regions of a battery of pan-neuronal C. elegans genes, including genes involved in synaptic vesicle biology and neuropeptide signaling, we define a common organizational principle in the regulation of pan-neuronal genes in the form of a surprisingly complex array of seemingly redundant, parallel-acting cis-regulatory modules that direct expression to broad, overlapping domains throughout the nervous system. These parallel-acting cis-regulatory modules are responsive to a multitude of distinct trans-acting factors. Neuronal gene expression programs therefore fall into two fundamentally distinct classes. Neuron-type-specific genes are generally controlled by discrete and non-redundantly acting regulatory inputs, while pan-neuronal gene expression is controlled by diverse, coincident and seemingly redundant regulatory inputs.
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Affiliation(s)
- Nikolaos Stefanakis
- Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Columbia University Medical Center, New York, NY, USA
| | - Ines Carrera
- Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Columbia University Medical Center, New York, NY, USA
| | - Oliver Hobert
- Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Columbia University Medical Center, New York, NY, USA.
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6
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Dinai Y, Wolf L, Assaf Y. Combined neuroimaging and gene expression analysis of the genetic basis of brain plasticity indicates across species homology. Hum Brain Mapp 2014; 35:5888-902. [PMID: 25053200 DOI: 10.1002/hbm.22592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Revised: 05/22/2014] [Accepted: 07/14/2014] [Indexed: 12/29/2022] Open
Abstract
Brain plasticity and memory formation depend on the expression of a large number of genes. This relationship had been studied using several experimental approaches and researchers have identified genes regulating plasticity through a variety of mechanisms. Despite this effort, a great deal remains unknown regarding the role of different genes in brain plasticity. Previous studies usually focused on specific brain structures and many of the genes influencing plasticity have yet to be identified. In this work, we integrate results of in vivo neuroimaging studies of plasticity with whole-brain gene expression data for the study of neuroplasticity. Brain regions, found in the imaging study to be involved in plasticity, are first spatially mapped to the anatomical framework of the genetic database. Feature ranking methods are then applied to identify genes that are differentially expressed in these regions. We find that many of our highly ranked genes are involved in synaptic transmission and that some of these genes have been previously associated with learning and memory. We show these results to be consistent when applying our method to gene expression data from four human subjects. Finally, by performing similar experiments in mice, we reveal significant cross species correlation in the ranking of genes. In addition to the identification of plasticity related candidate genes, our results also demonstrate the potential of data integration approaches as a tool to link high level phenomena such as learning and memory to underlying molecular mechanisms.
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Affiliation(s)
- Yonatan Dinai
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
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Stubbusch J, Narasimhan P, Huber K, Unsicker K, Rohrer H, Ernsberger U. Synaptic protein and pan-neuronal gene expression and their regulation by Dicer-dependent mechanisms differ between neurons and neuroendocrine cells. Neural Dev 2013; 8:16. [PMID: 23961995 PMCID: PMC3766641 DOI: 10.1186/1749-8104-8-16] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2013] [Accepted: 07/19/2013] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Neurons in sympathetic ganglia and neuroendocrine cells in the adrenal medulla share not only their embryonic origin from sympathoadrenal precursors in the neural crest but also a range of functional features. These include the capacity for noradrenaline biosynthesis, vesicular storage and regulated release. Yet the regulation of neuronal properties in early neuroendocrine differentiation is a matter of debate and the developmental expression of the vesicle fusion machinery, which includes components found in both neurons and neuroendocrine cells, is not resolved. RESULTS Analysis of synaptic protein and pan-neuronal marker mRNA expression during mouse development uncovers profound differences between sympathetic neurons and adrenal chromaffin cells, which result in qualitatively similar but quantitatively divergent transcript profiles. In sympathetic neurons embryonic upregulation of synaptic protein mRNA follows early and persistent induction of pan-neuronal marker transcripts. In adrenal chromaffin cells pan-neuronal marker expression occurs only transiently and synaptic protein messages remain at distinctly low levels throughout embryogenesis. Embryonic induction of synaptotagmin I (Syt1) in sympathetic ganglia and postnatal upregulation of synaptotagmin VII (Syt7) in adrenal medulla results in a cell type-specific difference in isoform prevalence. Dicer 1 inactivation in catecholaminergic cells reduces high neuronal synaptic protein mRNA levels but not their neuroendocrine low level expression. Pan-neuronal marker mRNAs are induced in chromaffin cells to yield a more neuron-like transcript pattern, while ultrastructure is not altered. CONCLUSIONS Our study demonstrates that remarkably different gene regulatory programs govern the expression of synaptic proteins in the neuronal and neuroendocrine branch of the sympathoadrenal system. They result in overlapping but quantitatively divergent transcript profiles. Dicer 1-dependent regulation is required to establish high neuronal mRNA levels for synaptic proteins and to maintain repression of neurofilament messages in neuroendocrine cells.
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Affiliation(s)
- Jutta Stubbusch
- Max Planck Institute for Brain Research, Deutschordenstrasse 46 D-60528, Frankfurt, Germany.
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8
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Malin J, Aniba MR, Hannenhalli S. Enhancer networks revealed by correlated DNAse hypersensitivity states of enhancers. Nucleic Acids Res 2013; 41:6828-38. [PMID: 23700312 PMCID: PMC3737527 DOI: 10.1093/nar/gkt374] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Revised: 03/23/2013] [Accepted: 04/15/2013] [Indexed: 12/14/2022] Open
Abstract
Mammalian gene expression is often regulated by distal enhancers. However, little is known about higher order functional organization of enhancers. Using ∼100 K P300-bound regions as candidate enhancers, we investigated their correlated activity across 72 cell types based on DNAse hypersensitivity. We found widespread correlated activity between enhancers, which decreases with increasing inter-enhancer genomic distance. We found that correlated enhancers tend to share common transcription factor (TF) binding motifs, and several chromatin modification enzymes preferentially interact with these TFs. Presence of shared motifs in enhancer pairs can predict correlated activity with 73% accuracy. Also, genes near correlated enhancers exhibit correlated expression and share common function. Correlated enhancers tend to be spatially proximal. Interestingly, weak enhancers tend to correlate with significantly greater numbers of other enhancers relative to strong enhancers. Furthermore, strong/weak enhancers preferentially correlate with strong/weak enhancers, respectively. We constructed enhancer networks based on shared motif and correlated activity and show significant functional enrichment in their putative target gene clusters. Overall, our analyses show extensive correlated activity among enhancers and reveal clusters of enhancers whose activities are coordinately regulated by multiple potential mechanisms involving shared TF binding, chromatin modifying enzymes and 3D chromatin structure, which ultimately co-regulate functionally linked genes.
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Affiliation(s)
- Justin Malin
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20740, USA, Computational Biology, Bioinformatics, and Genomics Program, University of Maryland, College Park, MD, 20740, USA and Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20740, USA
| | - Mohamed Radhouane Aniba
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20740, USA, Computational Biology, Bioinformatics, and Genomics Program, University of Maryland, College Park, MD, 20740, USA and Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20740, USA
| | - Sridhar Hannenhalli
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20740, USA, Computational Biology, Bioinformatics, and Genomics Program, University of Maryland, College Park, MD, 20740, USA and Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20740, USA
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9
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Regulation of gene expression during early neuronal differentiation: evidence for patterns conserved across neuron populations and vertebrate classes. Cell Tissue Res 2012; 348:1-27. [PMID: 22437873 DOI: 10.1007/s00441-012-1367-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2011] [Accepted: 02/08/2012] [Indexed: 12/19/2022]
Abstract
Analysis of transcription factor function during neurogenesis has provided a huge amount of data on the generation and specification of diverse neuron populations in the central and peripheral nervous systems of vertebrates. However, an understanding of the induction of key neuron functions including electrical information processing and synaptic transmission lags seriously behind. Whereas pan-neuronal markers such as neurofilaments, neuron-specific tubulin and RNA-binding proteins have often been included in developmental analysis, the molecular players underlying electrical activity and transmitter release have been neglected in studies addressing gene expression during neuronal induction. Here, I summarize the evidence for a distinct accumulation pattern of mRNAs for synaptic proteins, a pattern that is delayed compared with pan-neuronal gene expression during neurogenesis. The conservation of this pattern across diverse avian and mammalian neuron populations suggests a common mechanism for the regulation of various sets of neuronal genes during initial neuronal differentiation. The co-regulation of genes coding for synaptic proteins from embryonic to postnatal development indicates that the expression of the players required for synaptic transmission shares common regulatory features. For the ion channels involved in neuronal electrical activity, such as voltage-gated sodium channels, the situation is less clear because of the lack of comparative studies early during neurogenesis. Transcription factors have been characterized that regulate the expression of synaptic proteins in vitro and in vivo. They currently do not explain the co-regulation of these genes across different neuron populations. The neuron-restrictive silencing factor NRSF/REST targets a large gene set, but not all of the genes coding for pan-neuronal, synaptic and ion channel proteins. The discrepancy between NRSF/REST loss-of-function and silencer-to-activator-switch studies leaves the full functional implications of this factor open. Together with microRNAs, splicing regulators, chromatin remodellers and an increasing list of transcriptional regulators, the factor is embedded in feedback circuits with the potential to orchestrate neuronal differentiation. The precise regulation of the coordinated expression of proteins underlying key neuronal functions by these circuits during neuronal induction is a major emerging topic.
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10
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Abstract
The generation of individual neuron types in the nervous system is a multistep process whose endpoint is the expression of neuron type-specific batteries of terminal differentiation genes that determine the functional properties of a neuron. This review focuses on the regulatory mechanisms that are involved in controlling the terminally differentiated state of a neuron. I review several case studies from invertebrate and vertebrate nervous systems that reveal that many terminal differentiation features of a neuron are coregulated via terminal selector transcription factors that initiate and maintain terminal differentiation programs.
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Affiliation(s)
- Oliver Hobert
- Howard Hughes Medical Institute, New York, NY 10032, USA.
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11
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Wolf L, Goldberg C, Manor N, Sharan R, Ruppin E. Gene expression in the rodent brain is associated with its regional connectivity. PLoS Comput Biol 2011; 7:e1002040. [PMID: 21573208 PMCID: PMC3088660 DOI: 10.1371/journal.pcbi.1002040] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2010] [Accepted: 03/20/2011] [Indexed: 11/19/2022] Open
Abstract
The putative link between gene expression of brain regions and their neural connectivity patterns is a fundamental question in neuroscience. Here this question is addressed in the first large scale study of a prototypical mammalian rodent brain, using a combination of rat brain regional connectivity data with gene expression of the mouse brain. Remarkably, even though this study uses data from two different rodent species (due to the data limitations), we still find that the connectivity of the majority of brain regions is highly predictable from their gene expression levels-the outgoing (incoming) connectivity is successfully predicted for 73% (56%) of brain regions, with an overall fairly marked accuracy level of 0.79 (0.83). Many genes are found to play a part in predicting both the incoming and outgoing connectivity (241 out of the 500 top selected genes, p-value<1e-5). Reassuringly, the genes previously known from the literature to be involved in axon guidance do carry significant information about regional brain connectivity. Surveying the genes known to be associated with the pathogenesis of several brain disorders, we find that those associated with schizophrenia, autism and attention deficit disorder are the most highly enriched in the connectivity-related genes identified here. Finally, we find that the profile of functional annotation groups that are associated with regional connectivity in the rodent is significantly correlated with the annotation profile of genes previously found to determine neural connectivity in C. elegans (Pearson correlation of 0.24, p<1e-6 for the outgoing connections and 0.27, p<1e-5 for the incoming). Overall, the association between connectivity and gene expression in a specific extant rodent species' brain is likely to be even stronger than found here, given the limitations of current data.
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Affiliation(s)
- Lior Wolf
- Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel.
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12
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Hobert O, Carrera I, Stefanakis N. The molecular and gene regulatory signature of a neuron. Trends Neurosci 2011; 33:435-45. [PMID: 20663572 DOI: 10.1016/j.tins.2010.05.006] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2010] [Revised: 05/17/2010] [Accepted: 05/25/2010] [Indexed: 12/13/2022]
Abstract
Neuron-type specific gene batteries define the morphological and functional diversity of cell types in the nervous system. Here, we discuss the composition of neuron-type specific gene batteries and illustrate gene regulatory strategies which determine the unique gene expression profiles and molecular composition of individual neuronal cell types from C. elegans to higher vertebrates. Based on principles learned from prokaryotic gene regulation, we argue that neuronal terminal gene batteries are functionally grouped into parallel-acting 'regulons'. The theoretical concepts discussed here provide testable hypotheses for future experimental analysis of the exact gene-regulatory mechanisms employed in the generation of neuronal diversity and identity.
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Affiliation(s)
- Oliver Hobert
- Columbia University Medical Center, Howard Hughes Medical Institute, New York, NY, USA.
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13
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Abstract
DNA-binding transcription factors (TFs) play a central role in transcription regulation, and computational approaches that help in elucidating complex mechanisms governing this basic biological process are of great use. In this perspective, we present the TFM-Explorer web server that is a toolbox to identify putative TF binding sites within a set of upstream regulatory sequences of genes sharing some regulatory mechanisms. TFM-Explorer finds local regions showing overrepresentation of binding sites. Accepted organisms are human, mouse, rat, chicken and drosophila. The server employs a number of features to help users to analyze their data: visualization of selected binding sites on genomic sequences, and selection of cis-regulatory modules. TFM-Explorer is available at http://bioinfo.lifl.fr/TFM.
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Affiliation(s)
- Laurie Tonon
- INRIA Lille-Nord Europe, 40 av Halley, 59650 Villeneuve d'Ascq, d'Ascq Cedex, France
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