电池类型
转录组
计算生物学
生物
人细胞
基因
单细胞分析
核糖核酸
基因表达
RNA序列
仿形(计算机编程)
细胞
遗传学
细胞培养
计算机科学
操作系统
作者
Max Karlsson,Cheng Zhang,Loren Méar,Wen Zhong,Andreas Digre,Borbala Katona,Evelina Sjöstedt,Lynn M. Butler,Jacob Odeberg,Philip Dusart,Fredrik Edfors,Per Oksvold,Kalle von Feilitzen,Martin Zwahlen,Muhammad Arif,Özlem Altay,Xiangyü Li,Mehmet Özcan,Adil Mardinoğlu,Linn Fagerberg
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2021-07-28
卷期号:7 (31)
被引量:1712
标识
DOI:10.1126/sciadv.abh2169
摘要
Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single-cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs.
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