Cellular development and evolution of the mammalian cerebellum

小脑 生物 新皮层 神经发生 有袋动物 转录组 细胞分化 神经科学 基因 基因表达 遗传学 古生物学
作者
Mari Sepp,Kevin Leiss,Ioannis Sarropoulos,Florent Murat,Konstantin Okonechnikov,Piyush Joshi,Evgeny Leushkin,Noe Mbengue,C. Schneider,Julia Schmidt,Nils Trost,Lisa Spänig,Peter Giere,Philipp Khaitovich,Steven Lisgo,Miklós Palkovits,Lena M. Kutscher,Simon Anders,Margarida Cardoso-Moreira,Stefan M. Pfister
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:23
标识
DOI:10.1101/2021.12.20.473443
摘要

The expansion of the neocortex, one of the hallmarks of mammalian evolution 1,2 , was accompanied by an increase in the number of cerebellar neurons 3 . However, little is known about the evolution of the cellular programs underlying cerebellum development in mammals. In this study, we generated single-nucleus RNA-sequencing data for ∼400,000 cells to trace the development of the cerebellum from early neurogenesis to adulthood in human, mouse, and the marsupial opossum. Our cross-species analyses revealed that the cellular composition and differentiation dynamics throughout cerebellum development are largely conserved, except for human Purkinje cells. Global transcriptome profiles, conserved cell state markers, and gene expression trajectories across neuronal differentiation show that the cerebellar cell type-defining programs have been overall preserved for at least 160 million years. However, we also discovered differences. We identified 3,586 genes that either gained or lost expression in cerebellar cells in one of the species, and 541 genes that evolved new expression trajectories during neuronal differentiation. The potential functional relevance of these cross-species differences is highlighted by the diverged expression patterns of several human disease-associated genes. Altogether, our study reveals shared and lineage-specific programs governing the cellular development of the mammalian cerebellum, and expands our understanding of the evolution of mammalian organ development.
最长约 10秒,即可获得该文献文件

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
2秒前
斯文败类应助fduqyy采纳,获得30
2秒前
3秒前
风汐5423完成签到,获得积分10
3秒前
TFY发布了新的文献求助10
4秒前
5秒前
woshi123应助听一万种声音采纳,获得30
5秒前
风汐5423发布了新的文献求助10
6秒前
打打应助初见秋风采纳,获得10
6秒前
上官若男应助大意的罡采纳,获得10
6秒前
zzd完成签到,获得积分10
7秒前
7秒前
8秒前
chen完成签到,获得积分10
8秒前
9秒前
铱凡发布了新的文献求助10
9秒前
Una发布了新的文献求助10
9秒前
pp发布了新的文献求助30
9秒前
听安完成签到 ,获得积分10
9秒前
10秒前
10秒前
专注可乐完成签到,获得积分10
12秒前
科研通AI6.3应助微笑猎豹采纳,获得10
12秒前
12秒前
13秒前
fduqyy发布了新的文献求助30
13秒前
miao发布了新的文献求助10
14秒前
15秒前
29718916797发布了新的文献求助10
15秒前
16秒前
huangxiaoniu完成签到,获得积分10
16秒前
yxd应助faker采纳,获得10
16秒前
16秒前
爱吃巧乐兹完成签到,获得积分10
17秒前
warithy发布了新的文献求助10
17秒前
Atlantis发布了新的文献求助10
18秒前
CX完成签到,获得积分10
18秒前
李李发布了新的文献求助10
19秒前
Hello应助warithy采纳,获得10
19秒前
19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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
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
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
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 7600027
求助须知:如何正确求助?哪些是违规求助? 9176144
关于积分的说明 19648011
捐赠科研通 7176125
什么是DOI,文献DOI怎么找? 3268564
关于科研通互助平台的介绍 2433035
邀请新用户注册赠送积分活动 2262135