Perspective—Evolution of Neural Cell Types

作者
Detlev Arendt
标识
DOI:10.1093/acprof:oso/9780199682201.003.0004
摘要

Abstract The nervous system is composed of cell types. Thus, any attempt to elucidate the evolutionary origin of the nervous system requires comparison of the constituting neural cell types. This chapter surveys the state of the art in the comparative analysis of cell types in the nervous system, conceptually and by means of a few illustrative examples. First, what is a cell type? In essence, the definition of a ‘cell type’ is structural. It refers to the specific phenotype of a population of cells in the body that are structurally more similar to each other than to other cells. Therefore, neural cell types are defined by their specific structure reflecting their unique function. The structure of a given cell type is a manifestation of its molecular composition; and although cell types are more than the sum of their constituent parts, the comparative analysis of their molecular composition in various different ways is key to understanding cell type evolution. Typically, cellular functions require the cooperation of proteins and other biomolecules that constitute ‘modules’. We can thus envisage a neural cell type, as any other cell type, as an assembly of modules with discrete subfunctions. The focus of this chapter is on the evolutionary origin of ‘neural’ modules in early metazoans and their subsequent distribution to emergent sister cell types such as sensory neurons and interneurons.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
木林发布了新的文献求助10
1秒前
huang发布了新的文献求助30
1秒前
乐乐应助112255采纳,获得10
2秒前
甜心发布了新的文献求助10
2秒前
木子发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
xxk应助enen采纳,获得10
2秒前
dzz0120应助闪闪的梦槐采纳,获得10
2秒前
Fiee发布了新的文献求助10
2秒前
壮观白筠完成签到,获得积分10
3秒前
我是老大应助合适夜柳采纳,获得10
3秒前
4秒前
自然胡萝卜完成签到 ,获得积分10
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
Jojo完成签到,获得积分10
5秒前
5秒前
离尢梦失完成签到,获得积分10
6秒前
果子完成签到,获得积分20
6秒前
6秒前
smartraven发布了新的文献求助10
6秒前
6秒前
东方元语应助iyy采纳,获得20
6秒前
pluto应助luo采纳,获得10
7秒前
Jasper应助luo采纳,获得10
7秒前
英俊青枫发布了新的文献求助10
7秒前
小汉文发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
领导范儿应助xwl采纳,获得10
8秒前
ZihuiCCCC完成签到,获得积分10
9秒前
封小封发布了新的文献求助10
9秒前
only发布了新的文献求助10
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7623055
求助须知:如何正确求助?哪些是违规求助? 9198393
关于积分的说明 19718659
捐赠科研通 7194384
什么是DOI,文献DOI怎么找? 3273134
关于科研通互助平台的介绍 2435507
邀请新用户注册赠送积分活动 2268710