亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Construction of Anatomical Structure-specific Developmental Dynamic Networks for Human Brain on Multiple Omics Levels

大脑 人脑 生物 神经科学 大脑发育 神经影像学 胎儿 转录组 计算生物学 基因 基因表达 怀孕 中枢神经系统 遗传学
作者
Wang Ying-ying,Yang Yu,Jianfeng Liu,Keshen Li
出处
期刊:Current Bioinformatics [Bentham Science]
卷期号:16 (9): 1133-1142 被引量:1
标识
DOI:10.2174/1574893616666210331115659
摘要

Background: Human brain development is a series of complex processes exhibiting profound changes from gestation to adulthood. Objective: We aimed to construct dynamic developmental networks for each anatomical structure of the human brain based on omics’ levels in order to gain a new systematical brain map on the molecular level. Methods: We performed the brain development analyses by constructing dynamical networks between adjacent time points on different grouping levels of anatomical structures. The gene-time networks were first built to obtain the developing brain dynamical maps on transcriptome level. Then miRNA-mRNA networks and protein-protein networks were constructed by integrating the information from miRNomics and proteomics. The time and structure-specific biomarkers were filtered based on analyses of topological characters. Results: The most dramatic developmental time and structure were fetal-infancy and telencephalon, respectively. Cortex was the key developmental region in ‘late fetal and neonatal’ and ‘early infancy’. The development of the temporal lobe was different from other lobes since the significant changes of molecules were found only in the comparison pair ‘early fetal-early mid-fetal’ and ‘adolescence-young adulthood’. Interestingly, the changes among different brain structures inside adolescence and adulthood were bigger than other time points. hsa-miR-548c-3p and H3C2 may be new brain development indicators considering their key roles in networks. Conclusion: To our knowledge, this study is the first report of dynamical brain development maps for different anatomical structures on multiple omics. The results provide a new sight of brain development in a systematical way which may provide a more accurate understanding of the human 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
大幅提高文件上传限制,最高150M (2024-4-1)

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
李爱国应助fdj3121采纳,获得10
11秒前
激动的似狮完成签到,获得积分10
12秒前
18秒前
科研通AI2S应助科研通管家采纳,获得10
32秒前
eplga完成签到,获得积分10
46秒前
58秒前
fdj3121发布了新的文献求助10
1分钟前
fdj3121完成签到,获得积分10
1分钟前
MROU应助Who采纳,获得10
1分钟前
1分钟前
竹子完成签到,获得积分10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
2分钟前
3分钟前
pegasus0802完成签到,获得积分10
4分钟前
andrele发布了新的文献求助20
4分钟前
MROU应助李子潭采纳,获得40
4分钟前
www268完成签到 ,获得积分10
4分钟前
孤独的大灰狼完成签到 ,获得积分10
4分钟前
完美世界应助神奇圆滑手采纳,获得10
4分钟前
Krim完成签到 ,获得积分10
4分钟前
5分钟前
5分钟前
Benhnhk21完成签到,获得积分10
5分钟前
5分钟前
6分钟前
wanci应助迷人幻波采纳,获得10
7分钟前
7分钟前
7分钟前
8分钟前
迷人幻波发布了新的文献求助10
8分钟前
奔跑石小猛完成签到,获得积分10
8分钟前
NOTHING完成签到 ,获得积分10
8分钟前
充电宝应助迷人幻波采纳,获得10
8分钟前
8分钟前
linyingo发布了新的文献求助10
8分钟前
nadia完成签到,获得积分10
8分钟前
迷人幻波完成签到,获得积分20
8分钟前
9分钟前
paradox完成签到 ,获得积分10
9分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 400
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307414
求助须知:如何正确求助?哪些是违规求助? 2941030
关于积分的说明 8500232
捐赠科研通 2615428
什么是DOI,文献DOI怎么找? 1428900
科研通“疑难数据库(出版商)”最低求助积分说明 663595
邀请新用户注册赠送积分活动 648461