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Sex Differences in the Brain Transcriptome Related to Alcohol Effects and Alcohol Use Disorder

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TLDR
In this article, a focus is on resolving sex-dependent differences in transcriptional responses to ethanol at the neurocircuitry level in the extended amygdala and the nucleus accumbens.
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Animal Models for Studies of Alcohol effects on the Trajectory of Age-Related Cognitive Decline.

Thomas C. Foster
- 01 Apr 2022 - 
TL;DR: In this paper , the effects of alcohol consumption on brain aging were investigated using animal models, and the effect of alcohol on senescent neurophysiology and biomarkers of brain aging was discussed.
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The sexual brain, genes, and cognition: A machine‐predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children

TL;DR: The finding of the sex modulatory effect on the gene–brain–cognition relationship presents a likely biological pathway to the individual and sex differences in the brain and cognitive performance in preadolescence.
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Introduction to Special Issue: Insight Into Sex Differences in Neuropsychiatric Syndromes From Transcriptomic Analyses

TL;DR: For instance, this paper found that depression and Alzheimer's disease are roughly twice as common in females than males, and anorexia nervosa occurs more than an order of magnitude more frequently in females.
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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

TL;DR: A significant update to one of the tools in this domain called Enrichr, a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries is presented.
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Enrichr: Interactive and collaborative HTML5 gene list enrichment analysis tool

TL;DR: Enrichr is an easy to use intuitive enrichment analysis web-based tool providing various types of visualization summaries of collective functions of gene lists, and can be embedded into any tool that performs gene list analysis.
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A General Framework for Weighted Gene Co-Expression Network Analysis

TL;DR: A general framework for `soft' thresholding that assigns a connection weight to each gene pair is described and several node connectivity measures are introduced and provided empirical evidence that they can be important for predicting the biological significance of a gene.
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A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function.

TL;DR: These findings call into question the concept of a “glial” cell class as the gene profiles of astrocyte and oligodendrocytes are as dissimilar to each other as they are to neurons, for better understanding of neural development, function, and disease.
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WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs.

TL;DR: In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases and has completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures.
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