体内血细胞群的纵向追踪表明了血细胞系的关系,并支持成体神经发生中神经祖细胞的特性。

IF 4 3区 生物学 Q1 DEVELOPMENTAL BIOLOGY
Alex J Edwards, Barbara S Beltz
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引用次数: 0

摘要

成年神经发生发生在脊椎动物和无脊椎动物中,是新神经元在胚胎发育后很长时间内诞生并整合到现有功能神经回路中的过程。大多数哺乳动物的研究表明,自我更新的干细胞是新神经元的来源,尽管自我更新的程度还存在争议。相反,对克氏原螯虾的研究表明,产生成体神经元的神经祖细胞能够进行自我更新和消耗性(非自我更新)分裂。然而,自我更新分裂相对较少,因此成体神经元的产生在很大程度上依赖于不能自我更新的祖细胞。由于神经源龛中的少量神经祖细胞在这些动物漫长的一生中从未耗尽,我们假设这些细胞还必须有一个外部来源。随后的研究证明,神经祖细胞来源于免疫系统产生的血细胞,这些血细胞在血液循环中游动,最终整合到神经系开始形成的龛位中。目前的研究考察了三种血细胞类型--透明细胞(HC)、半粒细胞(SGC)和粒细胞(GC)--的发育线路,目的是了解产生成体神经元的祖细胞的起源。对长期以来用于血细胞分类的定性指标进行了定量验证。然后,在一项纵向研究中,使用增殖标记物对体内血细胞进行标记,并在两个月内对循环血细胞群进行采样。每隔一段时间采集血淋巴样本,以追踪不同类型血细胞的频率。这些数据揭示了 HCs、SGCs 和 GCs 相对频率的连续峰值,这些峰值是通过定性和定量方法确定的。这些研究结果表明,这三种血细胞类型由循环中出现的单一细胞系组成,每种类型都是血细胞成熟过程中的一个连续渐进阶段,从 HC 开始,到 GC 结束。结合之前发表的数据,该时间线提供了更多证据,证明 HCs 是克氏原鲤成年神经发生过程中的主要神经祖细胞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal tracking of hemocyte populations in vivo indicates lineage relationships and supports neural progenitor identity in adult neurogenesis.

Adult neurogenesis, which takes place in both vertebrate and invertebrate species, is the process by which new neurons are born and integrated into existing functional neural circuits, long after embryonic development. Most studies in mammals suggest that self-renewing stem cells are the source of the new neurons, although the extent of self-renewal is a matter of debate. In contrast, research in the crayfish Procambarus clarkii has demonstrated that the neural progenitors producing adult-born neurons are capable of both self-renewing and consuming (non-self-renewing) divisions. However, self-renewing divisions are relatively rare, and therefore the production of adult-born neurons depends heavily on progenitors that are not replenishing themselves. Because the small pool of neural progenitors in the neurogenic niche is never exhausted throughout the long lives of these animals, we hypothesized that there must also be an extrinsic source of these cells. It was subsequently demonstrated that the neural progenitors originate in hemocytes (blood cells) produced by the immune system that travel in the circulation before ultimately integrating into niches where the neural lineage begins. The current study examines the developmental lineage of the three hemocyte types - hyaline (HC), semigranular (SGC) and granular (GC) cells - with the goal of understanding the origins of the progenitor cells that produce adult-born neurons. Longstanding qualitative metrics for hemocyte classification were validated quantitatively. Then, in a longitudinal study, proliferation markers were used to label the hemocytes in vivo, followed by sampling the circulating hemocyte population over the course of two months. Hemolymph samples were taken at intervals to track the frequencies of the different hemocyte types. These data reveal sequential peaks in the relative frequencies of HCs, SGCs and GCs, which were identified using qualitative and quantitative measures. These findings suggest that the three hemocyte types comprise a single cellular lineage that occurs in the circulation, with each type as a sequential progressive stage in hemocyte maturation beginning with HCs and ending with GCs. When combined with previously published data, this timeline provides additional evidence that HCs serve as the primary neural progenitor during adult neurogenesis in P. clarkii.

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来源期刊
Neural Development
Neural Development 生物-发育生物学
CiteScore
6.60
自引率
0.00%
发文量
11
审稿时长
>12 weeks
期刊介绍: Neural Development is a peer-reviewed open access, online journal, which features studies that use molecular, cellular, physiological or behavioral methods to provide novel insights into the mechanisms that underlie the formation of the nervous system. Neural Development aims to discover how the nervous system arises and acquires the abilities to sense the world and control adaptive motor output. The field includes analysis of how progenitor cells form a nervous system during embryogenesis, and how the initially formed neural circuits are shaped by experience during early postnatal life. Some studies use well-established, genetically accessible model systems, but valuable insights are also obtained from less traditional models that provide behavioral or evolutionary insights.
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