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靶向 scRNA-seq 和多信息分析揭示发育中的果蝇大脑神经分化的分子特征。

The molecular landscape of neural differentiation in the developing Drosophila brain revealed by targeted scRNA-seq and multi-informatic analysis.

机构信息

Biophysics LS&A, University of Michigan, Ann Arbor, MI, USA.

Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.

出版信息

Cell Rep. 2021 Apr 27;35(4):109039. doi: 10.1016/j.celrep.2021.109039.

Abstract

The Drosophila type II neuroblast lineages present an attractive model to investigate the neurogenesis and differentiation process as they adapt to a process similar to that in the human outer subventricular zone. We perform targeted single-cell mRNA sequencing in third instar larval brains to study this process of the type II NB lineage. Combining prior knowledge, in silico analyses, and in situ validation, our multi-informatic investigation describes the molecular landscape from a single developmental snapshot. 17 markers are identified to differentiate distinct maturation stages. 30 markers are identified to specify the stem cell origin and/or cell division numbers of INPs, and at least 12 neuronal subtypes are identified. To foster future discoveries, we provide annotated tables of pairwise gene-gene correlation in single cells and MiCV, a web tool for interactively analyzing scRNA-seq datasets. Taken together, these resources advance our understanding of the neural differentiation process at the molecular level.

摘要

果蝇 II 型神经母细胞谱系为研究神经发生和分化过程提供了一个有吸引力的模型,因为它们适应了类似于人类外侧脑室下区的过程。我们在第三龄幼虫脑中进行靶向单细胞 mRNA 测序,以研究 II 型 NB 谱系的这个过程。通过结合先验知识、计算机分析和原位验证,我们的多信息学研究从单个发育快照描述了分子景观。鉴定出 17 个标记来区分不同的成熟阶段。鉴定出 30 个标记来指定 INP 的干细胞起源和/或细胞分裂次数,并且至少鉴定出 12 种神经元亚型。为了促进未来的发现,我们提供了单细胞和 MiCV 中基因-基因相关性的注释表,MiCV 是一个用于交互式分析 scRNA-seq 数据集的工具。总之,这些资源促进了我们对分子水平上神经分化过程的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdc3/8139287/8924aef1e45b/nihms-1698688-f0001.jpg

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