地图集(解剖学)
人细胞
生物
计算生物学
仿形(计算机编程)
图谱
神经科学
基因表达谱
人类基因组
细胞
人类疾病
电池类型
细胞生物学
表达式(计算机科学)
分子细胞生物学
系统生物学
发育生物学
基因调控网络
基因表达调控
基因表达
计算机科学
基因组学
作者
Aviv Regev,Sarah A Teichmann,Eric S Lander,Ido Amit,Christophe Benoist,Ewan Birney,Bernd Bodenmiller,Peter Campbell,Piero Carninci,Menna Clatworthy,Hans Clevers,Bart Deplancke,Ian Dunham,James Eberwine,Roland Eils,Wolfgang Enard,Andrew Farmer,Lars Fugger,Berthold Göttgens,Nir Hacohen
出处
期刊:eLife
[eLife Sciences Publications Ltd]
日期:2017-12-05
卷期号:6
被引量:2334
摘要
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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