A diffusion MRI-based spatiotemporal continuum of the embryonic mouse brain for probing gene–neuroanatomy connections

神经解剖学 神经科学 生物 大脑发育 胚胎干细胞 基因调控网络 磁共振弥散成像 解剖 进化生物学
作者
Dan Wu,Linda J. Richards,Zhiyong Zhao,Zuozhen Cao,Wanrong Luo,Wei Shao,Song-Hai Shi,Michael I. Miller,Susumu Mori,Seth Blackshaw,Jiangyang Zhang
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:119 (7): e2111869119-e2111869119
标识
DOI:10.1073/pnas.2111869119
摘要

The embryonic mouse brain undergoes drastic changes in establishing basic anatomical compartments and laying out major axonal connections of the developing brain. Correlating anatomical changes with gene-expression patterns is an essential step toward understanding the mechanisms regulating brain development. Traditionally, this is done in a cross-sectional manner, but the dynamic nature of development calls for probing gene–neuroanatomy interactions in a combined spatiotemporal domain. Here, we present a four-dimensional (4D) spatiotemporal continuum of the embryonic mouse brain from E10.5 to E15.5 reconstructed from diffusion magnetic resonance microscopy (dMRM) data. This study achieved unprecedented high-definition dMRM at 30- to 35-µm isotropic resolution, and together with computational neuroanatomy techniques, we revealed both morphological and microscopic changes in the developing brain. We transformed selected gene-expression data to this continuum and correlated them with the dMRM-based neuroanatomical changes in embryonic brains. Within the continuum, we identified distinct developmental modes comprising regional clusters that shared developmental trajectories and similar gene-expression profiles. Our results demonstrate how this 4D continuum can be used to examine spatiotemporal gene–neuroanatomical interactions by connecting upstream genetic events with anatomical changes that emerge later in development. This approach would be useful for large-scale analysis of the cooperative roles of key genes in shaping the developing brain.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
丘比特应助wen采纳,获得10
刚刚
1秒前
传奇3应助井一采纳,获得10
1秒前
1秒前
2秒前
3秒前
5秒前
科研通AI5应助Tcell采纳,获得10
5秒前
科研通AI5应助XR采纳,获得10
6秒前
打雷要下雨关注了科研通微信公众号
6秒前
听风完成签到 ,获得积分10
6秒前
7秒前
xx发布了新的文献求助10
7秒前
7秒前
8秒前
海海完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
潇潇雨歇完成签到,获得积分10
9秒前
林安笙完成签到,获得积分10
9秒前
ZZY发布了新的文献求助10
11秒前
搜集达人应助月下独酌采纳,获得10
12秒前
114koi完成签到,获得积分10
12秒前
12秒前
Jianyu发布了新的文献求助10
13秒前
霖lin发布了新的文献求助10
13秒前
13秒前
海海发布了新的文献求助10
14秒前
14秒前
14秒前
斯文明杰发布了新的文献求助10
15秒前
汤泡泡完成签到,获得积分10
15秒前
xx完成签到,获得积分20
16秒前
浮游应助友好的小鸽子采纳,获得10
17秒前
17秒前
搜集达人应助CDX采纳,获得10
17秒前
erfc发布了新的文献求助10
17秒前
18秒前
mjq完成签到,获得积分10
18秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(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
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
AASHTO LRFD Bridge Design Specifications (10th Edition) with 2025 Errata 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5125340
求助须知:如何正确求助?哪些是违规求助? 4329194
关于积分的说明 13490551
捐赠科研通 4164032
什么是DOI,文献DOI怎么找? 2282685
邀请新用户注册赠送积分活动 1283829
关于科研通互助平台的介绍 1223099