scholarly journals Learning from the Fly Photoreceptor on How Synapses Integrate Gene Expression to Sustain Retina and Brain Function

Neuron ◽  
2019 ◽  
Vol 101 (4) ◽  
pp. 548-550
Author(s):  
Nicolas G. Bazan ◽  
William C. Gordon
2010 ◽  
Vol 68 (1) ◽  
pp. 105-107 ◽  
Author(s):  
Heike Tost ◽  
Barbara K. Lipska ◽  
Radhakrishna Vakkalanka ◽  
Herve Lemaitre ◽  
Joseph H. Callicott ◽  
...  

2019 ◽  
Author(s):  
Rajeevkumar Raveendran Nair ◽  
Stefan Blankvoort ◽  
Maria Jose Lagartos ◽  
Cliff Kentros

SummaryUnderstanding brain function requires understanding neural circuits at the level of specificity at which they operate. While recent years have seen the development of a variety of remarkable molecular tools for the study of neural circuits, their utility is currently limited by the inability to deploy them in specific elements of native neural circuits, i.e. particular neuronal subtypes. One can obtain a degree of specificity with neuron-specific promoters, but native promoters are almost never sufficiently specific restricting this approach to transgenic animals. We recently showed that one can obtain transgenic mice with augmented anatomical specificity in targeted brain regions by identifyingcis-regulatory elements (i.e. enhancers) uniquely active in those brain regions and combining them with a heterologous promoter, an approach we call EDGE (Enhancer-Driven Gene Expression). Here we extend this strategy to the generation of viral (rAAV) vectors, showing that when combined with the right minimal promoter they largely recapitulate the specificity seen in the corresponding transgenic lines in wildtype animals, even of another species. Because active enhancers can be identified in any tissue sample, this approach promises to enable the kind of circuit-specific manipulations in any species. This should not only greatly enhance our understanding of brain function, but may one day even provide novel therapeutic avenues to correct the imbalances in neural circuits underlying many disorders of the brain.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gilliard Lach ◽  
Christine Fülling ◽  
Thomaz F. S. Bastiaanssen ◽  
Fiona Fouhy ◽  
Aoife N. O’ Donovan ◽  
...  

Abstract The gut microbiota is an essential regulator of many aspects of host physiology. Disruption of gut microbial communities affects gut-brain communication which ultimately can manifest as changes in brain function and behaviour. Transient changes in gut microbial composition can be induced by various intrinsic and extrinsic factors, however, it is possible that enduring shifts in the microbiota composition can be achieved by perturbation at a timepoint when the gut microbiota has not fully matured or is generally unstable, such as during early life or ageing. In this study, we investigated the effects of 3-week microbiota depletion with antibiotic treatment during the adolescent period and in adulthood. Following a washout period to restore the gut microbiota, behavioural and molecular hallmarks of gut-brain communication were investigated. Our data revealed that transient microbiota depletion had long-lasting effects on microbiota composition and increased anxiety-like behaviour in mice exposed to antibiotic treatment during adolescence but not in adulthood. Similarly, gene expression in the amygdala was more severely affected in mice treated during adolescence. Taken together these data highlight the vulnerability of the gut microbiota during the critical adolescent period and the long-lasting impact manipulations of the microbiota can have on gene expression and behaviour in adulthood.


2018 ◽  
Author(s):  
Alice Patania ◽  
Pierluigi Selvaggi ◽  
Mattia Veronese ◽  
Ottavia Dipasquale ◽  
Paul Expert ◽  
...  

AbstractUnderstanding how gene expression translates to and affects human behaviour is one of the ultimate aims of neuroscience. In this paper, we present a pipeline based on Mapper, a topological simplification tool, to produce and analyze genes co-expression data. We first validate the method by reproducing key results from the literature on the Allen Human Brain Atlas, and the correlations between resting-state fMRI and gene co-expression maps. We then analyze a dopamine-related gene-set and find that co-expression networks produced by Mapper returned a structure that matches the well-known anatomy of the dopaminergic pathway. Our results suggest that topological network descriptions can be a powerful tool to explore the relationships between genetic pathways and their association with brain function and its perturbation due to illness and/or pharmacological challenge.


Chemosphere ◽  
2021 ◽  
Vol 276 ◽  
pp. 130123
Author(s):  
Oddvar Myhre ◽  
Karin E. Zimmer ◽  
Alexandra M. Hudecova ◽  
Kristine E.A. Hansen ◽  
Abdolrahman Khezri ◽  
...  

2020 ◽  
Author(s):  
Arnaud Duchon ◽  
Maria del Mar Muñiz Moreno ◽  
Sandra Martin Lorenzo ◽  
Márcia Priscilla Silva de Souza ◽  
Claire Chevalier ◽  
...  

AbstractDown syndrome (DS) is the most common genetic form of intellectual disability caused by the presence of an additional copy of human chromosome 21. To provide novel insights into genotype–phenotype correlations, we screened the in vivo DS mouse library with standardized behavioural tests, magnetic resonance imaging (MRI) and hippocampal gene expression. Altogether this approach brings novel insights into the field. First, we unravelled several genetic interactions between different regions of the chromosome 21 and how they importantly contribute in altering the outcome of the phenotypes in brain function and structure. Then, in depth analysis of misregulated expressed genes involved in synaptic dysfunction highlitghed 6 biological cascades centered around DYRK1A, GSK3β, NPY, SNARE, RHOA and NPAS4. Finally, we provide a novel vision of the existing altered gene-gene crosstalk and molecular mechanisms targeting specific hubs in DS models that should become central to advance in our understanding of DS and therapies development.HighlightsBrain function and morphology changes in DS mouse models result from multiple genetic lociEach combination of loci induces specific alteration of gene expression profile in mouse modelsAltered gene expression converges to a few functional pathwys in DS mouse hippocampiThe synaptic pathway analysis leads to six connected biological cascades and defines a specific DS disease network


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