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Open AccessJournal ArticleDOI

Heterogeneity of glial progenitor cells during the neurogenesis-to-gliogenesis switch in the developing human cerebral cortex.

TLDR
Zhang et al. as mentioned in this paper found that EGFR+ cells are mainly distributed in the germinal zone and frequently colocalize with the stemness marker SOX2 during this period, which corresponds to the beginning stages of human gliogenesis.
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This article is published in Cell Reports.The article was published on 2021-03-02 and is currently open access. It has received 40 citations till now. The article focuses on the topics: Neurogenesis & Subventricular zone.

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Developmental landscape of human forebrain at a single-cell level identifies early waves of oligodendrogenesis.

TL;DR: Using single-cell RNA sequencing, the authors found evidence of the emergence of a first wave of oligodendrocyte lineage cells as early as post-conception weeks (PCW) 8-10.
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Human neural organoids: Models for developmental neurobiology and disease.

TL;DR: A review of human neural organoid systems, how they are generated, advances in 3D imaging and bioengineering, and the impact of organoid studies on our understanding of the human nervous system can be found in this paper.
References
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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.
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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.
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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.
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Robust enumeration of cell subsets from tissue expression profiles

TL;DR: CIBERSORT outperformed other methods with respect to noise, unknown mixture content and closely related cell types when applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen and fixed tissues, including solid tumors.
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