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
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
华仔应助沈格采纳,获得10
刚刚
毅颗橘子完成签到,获得积分10
刚刚
共享精神应助可靠巧荷采纳,获得10
1秒前
乔啡完成签到,获得积分10
1秒前
2秒前
2秒前
jngong应助111采纳,获得10
3秒前
yyc发布了新的文献求助10
3秒前
阿峤完成签到,获得积分10
3秒前
顺顺发布了新的文献求助10
3秒前
3秒前
科目三应助HY采纳,获得10
3秒前
Zzz应助夏天冷采纳,获得10
3秒前
优雅老六完成签到,获得积分10
4秒前
ding应助高高悒采纳,获得10
4秒前
科研通AI6.2应助ll采纳,获得10
5秒前
季一发布了新的文献求助10
6秒前
月月完成签到 ,获得积分10
7秒前
晓湫发布了新的文献求助10
7秒前
kara发布了新的文献求助10
7秒前
7秒前
8秒前
坚定冰菱发布了新的文献求助10
8秒前
ding应助ZHQ采纳,获得10
8秒前
自信的易云完成签到 ,获得积分10
8秒前
orixero应助顺顺采纳,获得10
9秒前
9秒前
123完成签到,获得积分10
9秒前
膜法师完成签到,获得积分10
9秒前
9秒前
科研通AI6.4应助余然采纳,获得10
10秒前
11秒前
11秒前
美丽大肚腩完成签到,获得积分10
11秒前
11秒前
慕青应助认真的TOTORO采纳,获得10
12秒前
初见完成签到 ,获得积分10
12秒前
单薄的钢笔完成签到,获得积分10
13秒前
英姑应助ZZYY采纳,获得10
13秒前
14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
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6331309
求助须知:如何正确求助?哪些是违规求助? 8147759
关于积分的说明 17098004
捐赠科研通 5387026
什么是DOI,文献DOI怎么找? 2856014
邀请新用户注册赠送积分活动 1833468
关于科研通互助平台的介绍 1684813