The Human Protein Atlas—Spatial localization of the human proteome in health and disease

图谱 蛋白质组 人类蛋白质组计划 蛋白质组学 地图集(解剖学) 计算生物学 生物 人类蛋白质 转录组 脑图谱 人类疾病 人脑 生物信息学 蛋白质表达 基因表达 神经科学 基因 遗传学 解剖
作者
Andreas Digre,Cecilia Lindskog
出处
期刊:Protein Science [Wiley]
卷期号:30 (1): 218-233 被引量:264
标识
DOI:10.1002/pro.3987
摘要

For a complete understanding of a system's processes and each protein's role in health and disease, it is essential to study protein expression with a spatial resolution, as the exact location of proteins at tissue, cellular, or subcellular levels is tightly linked to protein function. The Human Protein Atlas (HPA) project is a large-scale initiative aiming at mapping the entire human proteome using antibody-based proteomics and integration of various other omics technologies. The publicly available knowledge resource www.proteinatlas.org is one of the world's most visited biological databases and has been extensively updated during the last few years. The current version is divided into six main sections, each focusing on particular aspects of the human proteome: (a) the Tissue Atlas showing the distribution of proteins across all major tissues and organs in the human body; (b) the Cell Atlas showing the subcellular localization of proteins in single cells; (c) the Pathology Atlas showing the impact of protein levels on survival of patients with cancer; (d) the Blood Atlas showing the expression profiles of blood cells and actively secreted proteins; (e) the Brain Atlas showing the distribution of proteins in human, mouse, and pig brain; and (f) the Metabolic Atlas showing the involvement of proteins in human metabolism. The HPA constitutes an important resource for further understanding of human biology, and the publicly available datasets hold much promise for integration with other emerging efforts focusing on single cell analyses, both at transcriptomic and proteomic level.
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
鲜于枫发布了新的文献求助10
1秒前
1007发布了新的文献求助30
1秒前
内卷带师完成签到,获得积分10
1秒前
Jiangtao完成签到,获得积分10
1秒前
faoran完成签到,获得积分10
2秒前
yunyueqixun完成签到,获得积分10
2秒前
任寒松发布了新的文献求助10
2秒前
2秒前
伶俐眼神发布了新的文献求助50
3秒前
Yucorn完成签到 ,获得积分10
3秒前
英俊的铭应助从雪采纳,获得10
3秒前
老王发布了新的文献求助10
4秒前
5秒前
5秒前
照徊亿发布了新的文献求助10
5秒前
6秒前
6秒前
willlow完成签到,获得积分10
6秒前
6秒前
ww发布了新的文献求助10
7秒前
8秒前
充电宝应助鼓励男孩采纳,获得10
8秒前
CCC发布了新的文献求助10
9秒前
陈皮完成签到,获得积分20
10秒前
royan发布了新的文献求助10
10秒前
鲜于枫完成签到,获得积分10
10秒前
天天快乐应助Answer0928采纳,获得10
11秒前
MF应助科研通管家采纳,获得10
11秒前
molihuakai应助科研通管家采纳,获得10
11秒前
烟花应助科研通管家采纳,获得10
11秒前
willlow发布了新的文献求助10
11秒前
隐形曼青应助科研通管家采纳,获得10
11秒前
orixero应助科研通管家采纳,获得30
12秒前
焦星辰发布了新的文献求助10
12秒前
张欢馨应助科研通管家采纳,获得10
12秒前
MF应助科研通管家采纳,获得10
12秒前
lumi应助科研通管家采纳,获得10
12秒前
情怀应助科研通管家采纳,获得10
12秒前
OK应助科研通管家采纳,获得200
12秒前
玻璃应助科研通管家采纳,获得10
13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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
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 7623909
求助须知:如何正确求助?哪些是违规求助? 9199094
关于积分的说明 19721674
捐赠科研通 7195161
什么是DOI,文献DOI怎么找? 3273423
关于科研通互助平台的介绍 2435587
邀请新用户注册赠送积分活动 2269155