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Regeneration after injury occurs in axons that lie in the peripheral nervous system but fails in the central nervous system, thereby limiting functional recovery. Differences in axonal signalling in response to injury that might underpin this differential regenerative ability are poorly characterized. Combining axoplasmic proteomics from peripheral sciatic or central projecting dorsal root ganglion (DRG) axons with cell body RNA-seq, we uncover injury-dependent signalling pathways that are uniquely represented in peripheral versus central projecting sciatic DRG axons. We identify AMPK as a crucial regulator of axonal regenerative signalling that is specifically downregulated in injured peripheral, but not central, axons. We find that AMPK in DRG interacts with the 26S proteasome and its CaMKIIα-dependent regulatory subunit PSMC5 to promote AMPKα proteasomal degradation following sciatic axotomy. Conditional deletion of AMPKα1 promotes multiple regenerative signalling pathways after central axonal injury and stimulates robust axonal growth across the spinal cord injury site, suggesting inhibition of AMPK as a therapeutic strategy to enhance regeneration following spinal cord injury.

OBJECTIVE: To identify a convergent, multitarget proliferation characteristic for astrocytoma transformation that could be targeted for therapy discovery.METHODS: Using an integrated functional genomics approach, we prioritized networks associated with astrocytoma progression using the following criteria: differential co-expression between grade II and grade III IDH1-mutated and 1p/19q euploid astrocytomas, preferential enrichment for genetic risk to cancer, association with patient survival and sample-level genomic features. Drugs targeting the identified multitarget network characteristic for astrocytoma transformation were computationally predicted using drug transcriptional perturbation data and validated using primary human astrocytoma cells.RESULTS: A single network, M2, consisting of 177 genes, was associated with glioma progression on the basis of the above criteria. Functionally, M2 encoded physically interacting proteins regulating cell cycle processes and analysis of genome-wide gene-regulatory interactions using mutual information and DNA-protein interactions revealed the known regulators of cell cycle processes FoxM1, B-Myb, and E2F2 as key regulators of M2. These results suggest functional disruption of M2 via gene mutation or altered expression as a convergent pathway regulating astrocytoma transformation. By considering M2 as a multitarget drug target regulating astrocytoma transformation, we identified several drugs that are predicted to restore M2 expression in anaplastic astrocytoma toward its low-grade profile and of these, we validated the known antiproliferative drug resveratrol as down-regulating multiple nodes of M2 including at nanomolar concentrations achievable in human cerebrospinal fluid by oral dosing.INTERPRETATION: Our results identify M2 as a multitarget network characteristic for astrocytoma progression and encourage M2-based drug screening to identify new compounds for preventing glioma transformation.

Cardiac fibrosis is a final common pathology in inherited and acquired heart diseases that causes cardiac electrical and pump failure. Here, we use systems genetics to identify a pro-fibrotic gene network in the diseased heart and show that this network is regulated by the E3 ubiquitin ligase WWP2, specifically by the WWP2-N terminal isoform. Importantly, the WWP2-regulated pro-fibrotic gene network is conserved across different cardiac diseases characterized by fibrosis: human and murine dilated cardiomyopathy and repaired tetralogy of Fallot. Transgenic mice lacking the N-terminal region of the WWP2 protein show improved cardiac function and reduced myocardial fibrosis in response to pressure overload or myocardial infarction. In primary cardiac fibroblasts, WWP2 positively regulates the expression of pro-fibrotic markers and extracellular matrix genes. TGFβ1 stimulation promotes nuclear translocation of the WWP2 isoforms containing the N-terminal region and their interaction with SMAD2. WWP2 mediates the TGFβ1-induced nucleocytoplasmic shuttling and transcriptional activity of SMAD2.

Cardiac fibrosis is a final common pathology in inherited and acquired heart diseases that causes cardiac electrical and pump failure. Here, we use systems genetics to identify a pro-fibrotic gene network in the diseased heart and show that this network is regulated by the E3 ubiquitin ligase WWP2, specifically by the WWP2-N terminal isoform. Importantly, the WWP2-regulated pro-fibrotic gene network is conserved across different cardiac diseases characterized by fibrosis: human and murine dilated cardiomyopathy and repaired tetralogy of Fallot. Transgenic mice lacking the N-terminal region of the WWP2 protein show improved cardiac function and reduced myocardial fibrosis in response to pressure overload or myocardial infarction. In primary cardiac fibroblasts, WWP2 positively regulates the expression of pro-fibrotic markers and extracellular matrix genes. TGFβ1 stimulation promotes nuclear translocation of the WWP2 isoforms containing the N-terminal region and their interaction with SMAD2. WWP2 mediates the TGFβ1-induced nucleocytoplasmic shuttling and transcriptional activity of SMAD2., Pathological cardiac fibrosis is a hallmark of diseases leading to heart failure. Here, the authors used systems genetics to identify a pro-fibrotic gene network regulated by WWP2, a E3 ubiquitin ligase, which orchestrates the nucleocytoplasmic shuttling and transcriptional activity of SMAD2 in the diseased heart.

Srivastava PK, van Eyll J, Godard P, Mazzuferi M, Delahaye-Duriez A, Steenwinckel JV, et al. A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target. Nat Commun. 2018;9(1):3561. doi:10.1038/s41467-018-06008-4.The identification of drug targets is highly challenging, particularly for diseases of the brain. To address this problem, we developed and experimentally validated a general computational framework for drug target discovery that combines gene regulatory information with causal reasoning (“Causal Reasoning Analytical Framework for Target discovery”-CRAFT). Using a systems genetics approach and starting from gene expression data from the target tissue, CRAFT provides a predictive framework for identifying cell membrane receptors with a direction-specified influence over disease-related gene expression profiles. As proof of concept, we applied CRAFT to epilepsy and predicted the tyrosine kinase receptor Csf1R as a potential therapeutic target. The predicted effect of Csf1R blockade in attenuating epilepsy seizures was validated in 3 preclinical models of epilepsy. These results highlight CRAFT as a systems-level framework for target discovery and suggest Csf1R blockade as a novel therapeutic strategy in epilepsy. The CRAFT is applicable to disease settings other than epilepsy.

Axonal injury results in regenerative success or failure, depending on whether the axon lies in the peripheral or the CNS, respectively. The present study addresses whether epigenetic signatures in dorsal root ganglia discriminate between regenerative and non-regenerative axonal injury. Chromatin immunoprecipitation for the histone 3 (H3) post-translational modifications H3K9ac, H3K27ac and H3K27me3; an assay for transposase-accessible chromatin; and RNA sequencing were performed in dorsal root ganglia after sciatic nerve or dorsal column axotomy. Distinct histone acetylation and chromatin accessibility signatures correlated with gene expression after peripheral, but not central, axonal injury. DNA-footprinting analyses revealed new transcriptional regulators associated with regenerative ability. Machine-learning algorithms inferred the direction of most of the gene expression changes. Neuronal conditional deletion of the chromatin remodeler CCCTC-binding factor impaired nerve regeneration, implicating chromatin organization in the regenerative competence. Altogether, the present study offers the first epigenomic map providing insight into the transcriptional response to injury and the differential regenerative ability of sensory neurons. This manuscript describes the systematic investigation of epigenomic signatures discriminating between regenerative success and failure in dorsal root ganglia sensory neurons following axonal injury. This epigenomic map offers a tool to design novel approaches for neuronal repair.

The identification of mechanistically novel drug targets is highly challenging, particularly for diseases of the central nervous system. To address this problem we developed and experimentally validated a new computational approach to drug target identification that combines gene-regulatory information with a causal reasoning framework (“causal reasoning analytical framework for target discovery” – CRAFT). Starting from gene expression data, CRAFT provides a predictive functional genomics framework for identifying membrane receptors with a direction-specified influence over network expression. As proof-of-concept we applied CRAFT to epilepsy, and predicted the tyrosine kinase receptor Csf1R as a novel therapeutic target for epilepsy. The predicted therapeutic effect of Csf1R blockade was validated in two pre-clinical models of epilepsy using a small molecule inhibitor of Csf1R. These results suggest Csf1R blockade as a novel therapeutic strategy in epilepsy, and highlight CRAFT as a systems-level framework for predicting mechanistically new drugs and targets. CRAFT is applicable to disease settings other than epilepsy.

The recoding of genetic information through RNA editing contributes to proteomic diversity, but the extent and significance of RNA editing in disease is poorly understood. In particular, few studies have investigated the relationship between RNA editing and disease at a genome-wide level. Here, we developed a framework for the genome-wide detection of RNA sites that are differentially edited in disease. Using RNA-sequencing data from 100 hippocampi from mice with epilepsy (pilocarpine–temporal lobe epilepsy model) and 100 healthy control hippocampi, we identified 256 RNA sites (overlapping with 87 genes) that were significantly differentially edited between epileptic cases and controls. The degree of differential RNA editing in epileptic mice correlated with frequency of seizures, and the set of genes differentially RNA-edited between case and control mice were enriched for functional terms highly relevant to epilepsy, including “neuron projection” and “seizures.” Genes with differential RNA editing were preferentially enriched for genes with a genetic association to epilepsy. Indeed, we found that they are significantly enriched for genes that harbor nonsynonymous de novo mutations in patients with epileptic encephalopathy and for common susceptibility variants associated with generalized epilepsy. These analyses reveal a functional convergence between genes that are differentially RNA-edited in acquired symptomatic epilepsy and those that contribute risk for genetic epilepsy. Taken together, our results suggest a potential role for RNA editing in the epileptic hippocampus in the occurrence and severity of epileptic seizures.

Genetic determinants of cognition are poorly characterized, and their relationship to genes that confer risk for neurodevelopmental disease is unclear. Here we performed a systems-level analysis of genome-wide gene expression data to infer gene-regulatory networks conserved across species and brain regions. Two of these networks, M1 and M3, showed replicable enrichment for common genetic variants underlying healthy human cognitive abilities, including memory. Using exome sequence data from 6,871 trios, we found that M3 genes were also enriched for mutations ascertained from patients with neurodevelopmental disease generally, and intellectual disability and epileptic encephalopathy in particular. M3 consists of 150 genes whose expression is tightly developmentally regulated, but which are collectively poorly annotated for known functional pathways. These results illustrate how systems-level analyses can reveal previously unappreciated relationships between neurodevelopmental disease–associated genes in the developed human brain, and provide empirical support for a convergent gene-regulatory network influencing cognition and neurodevelopmental disease.

Introduction/Objectifs L’epilepsie est une maladie neurologique grave qui se caracterise par une recurrence non provoquee de crises convulsives. La biologie des systemes et les analyses de reseaux de genes constituent des approches puissantes pour etudier les voies moleculaires impliquees dans l’epilepsie. Elles ont aussi deja permis de pointer de nouvelles cibles therapeutiques. Materiels/Patients et methodes Des donnees en acces libre issues de plusieurs types d’etudes ont ete re-analysees en utilisant des approches de genomique integrative basees sur l’analyse des reseaux de genes et de proteines. La nouvelle exploitation de ces donnees a permis l’identification du reseau M30. Le reseau M30 se compose de 320 genes largement exprimes dans le cerveau humain qui codent principalement pour des proteines qui sont impliquees dans des processus synaptiques. Resultats L’alteration fonctionnelle de M30 par des variations genetiques rares ou communes, et la diminution de son expression semblent constituer un mecanisme convergent influencant la susceptibilite a l’epilepsie et aux crises d’epilepsie en general. En tirant profit des changements d’expression induits par des medicaments rapportes pour 1300 composes therapeutiques, nous avons pu selectionner les medicaments dont l’effet sur l’expression de M30 est d’inverser la diminution d’expression observee dans les cerveaux epileptiques. Les meilleurs resultats ont ete obtenus pour l’acide valproique (anti-epileptique connu), apportant une nouvelle preuve de concept au paradigme de reversion de la signature transcriptionnelle comme strategie therapeutique. Conclusions Au total, nos resultats suggerent qu’en ciblant le reseau M30 on pourrait identifier de nouvelles molecules anti-epileptiques et developper de nouvelles strategies therapeutiques contre l’epilepsie [1] .

Gene-regulatory network analysis is a powerful approach to elucidate the molecular processes and\ud pathways underlying complex disease. Here we employ systems genetics approaches to characterize the\ud genetic regulation of pathophysiological pathways in human temporal lobe epilepsy (TLE). Using\ud surgically acquired hippocampi from 129 TLE patients, we identify a gene-regulatory network genetically\ud associated with epilepsy that contains a specialized, highly expressed transcriptional module encoding\ud proconvulsive cytokines and Toll-like receptor signalling genes. RNA sequencing analysis in a mouse\ud model of TLE using 100 epileptic and 100 control hippocampi shows the proconvulsive module is\ud preserved across-species, specific to the epileptic hippocampus and upregulated in chronic epilepsy. In\ud the TLE patients, we map the trans-acting genetic control of this proconvulsive module to Sestrin 3\ud (SESN3), and demonstrate that SESN3 positively regulates the module in macrophages, microglia and\ud neurons. Morpholino-mediated Sesn3 knockdown in zebrafish confirms the regulation of the\ud transcriptional module, and attenuates chemically induced behavioural seizures in vivo.