Molecular insights into cortico-striatal miscommunications in Huntington's disease

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Abstract

<p class="first" id="P1">Huntington’s disease (HD), a dominantly inherited neurodegenerative disease, is defined by its genetic cause, a CAG-repeat expansion in the HTT gene, its motor and psychiatric symptomology and primary loss of striatal medium spiny neurons (MSNs). However, the molecular mechanisms from genetic lesion to disease phenotype remain largely unclear. Mouse models of HD have been created that exhibit phenotypes reminiscent of those in the patient, and specifically, cortico-striatal disconnectivity appears to be a shared pathogenic event shared by HD mouse models and patients. Molecular studies have begun to unveil consistent molecular and cellular pathogenic mechanisms that may account for cortico-striatal miscommunication in various HD mouse models. Systems biological approaches help to illuminate synaptic molecular networks as a nexus for HD cortio-striatal pathogenesis, and may offer new candidate targets to modify the disease. </p>

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WGCNA: an R package for weighted correlation network analysis

Peter Langfelder, Steve Horvath (2008)

Background Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be used for finding clusters (modules) of highly correlated genes, for summarizing such clusters using the module eigengene or an intramodular hub gene, for relating modules to one another and to external sample traits (using eigengene network methodology), and for calculating module membership measures. Correlation networks facilitate network based gene screening methods that can be used to identify candidate biomarkers or therapeutic targets. These methods have been successfully applied in various biological contexts, e.g. cancer, mouse genetics, yeast genetics, and analysis of brain imaging data. While parts of the correlation network methodology have been described in separate publications, there is a need to provide a user-friendly, comprehensive, and consistent software implementation and an accompanying tutorial. Results The WGCNA R software package is a comprehensive collection of R functions for performing various aspects of weighted correlation network analysis. The package includes functions for network construction, module detection, gene selection, calculations of topological properties, data simulation, visualization, and interfacing with external software. Along with the R package we also present R software tutorials. While the methods development was motivated by gene expression data, the underlying data mining approach can be applied to a variety of different settings. Conclusion The WGCNA package provides R functions for weighted correlation network analysis, e.g. co-expression network analysis of gene expression data. The R package along with its source code and additional material are freely available at .

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Reactive Astrocytes: Production, Function, and Therapeutic Potential.

Ben A. Barres, Shane Liddelow (2017)

Astrocytes constitute approximately 30% of the cells in the mammalian central nervous system (CNS). They are integral to brain and spinal-cord physiology and perform many functions important for normal neuronal development, synapse formation, and proper propagation of action potentials. We still know very little, however, about how these functions change in response to immune attack, chronic neurodegenerative disease, or acute trauma. In this review, we summarize recent studies that demonstrate that different initiating CNS injuries can elicit at least two types of "reactive" astrocytes with strikingly different properties, one type being helpful and the other harmful. We will also discuss new methods for purifying and investigating reactive-astrocyte functions and provide an overview of new markers for delineating these different states of reactive astrocytes. The discovery that astrocytes have different types of reactive states has important implications for the development of new therapies for CNS injury and diseases.

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The Biology of Huntingtin.

Frédéric Saudou, Sandrine Humbert (2016)

Huntingtin (HTT) is now a famous protein because an abnormal expansion of a glutamine stretch (polyQ) in its N-terminal sequence leads to the devastating neurodegenerative disorder Huntington's disease (HD). The gene encoding huntingtin, HTT, and its dominantly inherited mutation were identified more than 20 years ago. Subsequently, in the hope of finding a cure for HD, there has been intense research aimed at understanding the molecular mechanisms underlying the deleterious effects of the presence of the abnormal polyQ expansion in HTT. Notwithstanding with the value of this approach, evidence has been emerging of a potential role of context and function of the HTT protein in the specificity and severity of the pathogenicity. HTT is ubiquitous both at the tissue and subcellular levels. It interacts with many partners and has long been considered having no clearly defined cellular function. Based on research over the past 20 years, specifically focused on the function of wild-type HTT, we reconsider the literature describing HTT-regulated molecular and cellular mechanisms that could be dysfunctional in HD and their possible physiological consequences for patients.