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ELAVL4, splicing, and glutamatergic dysfunction precede neuron loss in MAPT mutation cerebral organoids.

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TLDR
In this article, the authors used human induced pluripotent stem cell (iPSC)-derived cerebral organoids expressing tau-V337M and isogenic corrected controls to discover early alterations because of the mutation that precede neurodegeneration.
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This article is published in Cell.The article was published on 2021-08-19. It has received 54 citations till now. The article focuses on the topics: Glutamatergic & Neurodegeneration.

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Solving neurodegeneration: common mechanisms and strategies for new treatments

TL;DR: Solving Neurodegeneration as mentioned in this paper is a virtual meeting focused on uncovering common mechanistic roots of neurodegenerative disease and promising targets for new treatments, catalyzed by the goal of finding new treatments for glaucoma, the leading cause of irreversible blindness and the common interest of the three hosting foundations.
Journal ArticleDOI

Solving neurodegeneration: common mechanisms and strategies for new treatments

TL;DR: Solving Neurodegeneration as discussed by the authors is a virtual meeting focused on uncovering common mechanistic roots of neurodegenerative disease and promising targets for new treatments, catalyzed by the goal of finding new treatments for glaucoma, the leading cause of irreversible blindness and the common interest of the three hosting foundations.
Journal ArticleDOI

Human organoids: New strategies and methods for analyzing human development and disease

Nina S. Corsini, +1 more
- 01 Jul 2022 - 
TL;DR: A review of advances in organoid biology with a focus on how organoid technology has generated a better understanding of human-specific processes in development and disease can be found in this paper .
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Human cerebral organoids — a new tool for clinical neurology research

TL;DR: A review of the use of organoid models to accelerate neurological research can be found in this article , where different methodologies for producing organoids and how organoids can be and have been used to model neurological disorders, including microcephaly, Zika virus infection, Alzheimer disease and other neurodegenerative disorders, and neurodevelopmental diseases, such as Timothy syndrome, Angelman syndrome and tuberous sclerosis.
Journal ArticleDOI

Human tau mutations in cerebral organoids induce a progressive dyshomeostasis of cholesterol

TL;DR: The authors found that the cholesterol biosynthesis pathway in astrocytes was the top upregulated gene set compared with isogenic controls by single-cell RNA sequencing (scRNA-seq).
References
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Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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featureCounts: an efficient general-purpose program for assigning sequence reads to genomic features

TL;DR: FeatureCounts as discussed by the authors is a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments, which implements highly efficient chromosome hashing and feature blocking techniques.
Journal ArticleDOI

Comprehensive Integration of Single-Cell Data.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
Journal ArticleDOI

Integrating single-cell transcriptomic data across different conditions, technologies, and species.

TL;DR: An analytical strategy for integrating scRNA-seq data sets based on common sources of variation is introduced, enabling the identification of shared populations across data sets and downstream comparative analysis.
Posted Content

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

TL;DR: The UMAP algorithm is competitive with t-SNE for visualization quality, and arguably preserves more of the global structure with superior run time performance.
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