A Drosophila glial cell atlas reveals that transcriptionally defined cell types can be morphologically diverse

Author:

Lago-Baldaia Inês,Cooper Maia,Seroka AustinORCID,Trivedi ChintanORCID,Powell Gareth T.ORCID,Wilson StephenORCID,Ackerman SarahORCID,Fernandes Vilaiwan MORCID

Abstract

AbstractMorphology is a key defining feature of neuronal identity. Like neurons, glia display diverse morphologies, both across and within glial classes. In the Drosophila central nervous system, glia are categorized into five main classes (outer and inner surface glia, cortex glia, ensheathing glia, and astrocytes), which also show within-class morphological diversity (morphotypes). Whether morphological differences reflect underlying transcriptional heterogeneity is unclear. We analysed and validated single cell RNA sequencing data of Drosophila glia in two well-characterized tissues from distinct developmental stages, containing distinct circuit types: the embryonic ventral nerve cord (motor) and the adult optic lobes (sensory). Our analysis identified a new morphologically and transcriptionally distinct surface glial population in the ventral nerve cord. However, many glial morphotypes could not be distinguished transcriptionally, and indeed, embryonic and adult astrocytes were transcriptionally analogous despite differences in developmental stage and circuit type. While we did detect extensive within-class transcriptomic diversity for optic lobe glia, this could be explained entirely by glial residence in the most superficial neuropil (lamina) and an associated enrichment for immune-related functions. In summary, we generated the first single-cell transcriptomic atlas of glia in Drosophila, and our extensive in vivo validation suggests that morphology is not set by an intrinsic transcriptional program. Instead, we propose that glia adopt morphological and functional states in response to their local environment. This atlas will serve as a resource for the community to probe glial diversity and function.

Publisher

Cold Spring Harbor Laboratory

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3