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CellMarker 2.0:一个更新的数据库,包含基于 scRNA-seq 数据的人类/小鼠细胞标志物的人工注释和网络工具。

CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data.

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.

出版信息

Nucleic Acids Res. 2023 Jan 6;51(D1):D870-D876. doi: 10.1093/nar/gkac947.

Abstract

CellMarker 2.0 (http://bio-bigdata.hrbmu.edu.cn/CellMarker or http://117.50.127.228/CellMarker/) is an updated database that provides a manually curated collection of experimentally supported markers of various cell types in different tissues of human and mouse. In addition, web tools for analyzing single cell sequencing data are described. We have updated CellMarker 2.0 with more data and several new features, including (i) Appending 36 300 tissue-cell type-maker entries, 474 tissues, 1901 cell types and 4566 markers over the previous version. The current release recruits 26 915 cell markers, 2578 cell types and 656 tissues, resulting in a total of 83 361 tissue-cell type-maker entries. (ii) There is new marker information from 48 sequencing technology sources, including 10X Chromium, Smart-Seq2 and Drop-seq, etc. (iii) Adding 29 types of cell markers, including protein-coding gene lncRNA and processed pseudogene, etc. Additionally, six flexible web tools, including cell annotation, cell clustering, cell malignancy, cell differentiation, cell feature and cell communication, were developed to analysis and visualization of single cell sequencing data. CellMarker 2.0 is a valuable resource for exploring markers of various cell types in different tissues of human and mouse.

摘要

CellMarker 2.0(http://bio-bigdata.hrbmu.edu.cn/CellMarkerhttp://117.50.127.228/CellMarker/)是一个经过更新的数据库,提供了一个经过人工整理的人类和小鼠不同组织中各种细胞类型的实验支持标志物的集合。此外,还描述了用于分析单细胞测序数据的网络工具。我们通过添加更多数据和几个新功能对 CellMarker 2.0 进行了更新,包括:(i) 在上一版本的基础上增加了 36300 个组织-细胞类型-标志物条目、474 个组织、1901 个细胞类型和 4566 个标志物。当前版本共收录了 26915 个细胞标志物、2578 个细胞类型和 656 个组织,总计 83361 个组织-细胞类型-标志物条目。(ii) 新增 48 种测序技术来源的标志物信息,包括 10X Chromium、Smart-Seq2 和 Drop-seq 等。(iii) 添加 29 种细胞标志物,包括编码蛋白的基因 lncRNA 和加工假基因等。此外,还开发了六个灵活的网络工具,包括细胞注释、细胞聚类、细胞恶性程度、细胞分化、细胞特征和细胞通讯,用于单细胞测序数据的分析和可视化。CellMarker 2.0 是探索人类和小鼠不同组织中各种细胞类型标志物的有价值资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ccb/9825416/55e56e047431/gkac947fig1.jpg

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