scImmOmics: A Resource for Single-Cell Immune Data
Author Information
Author(s): Li Yan-Yu, Zhou Li-Wei, Qian Feng-Cui, Fang Qiao-Li, Yu Zheng-Min, Cui Ting, Dong Fu-Juan, Cai Fu-Hong, Yu Ting-Ting, Li Li-Dong, Wang Qiu-Yu, Zhu Yan-Bing, Tang Hui-Fang, Hu Bao-Yang, Li Chun-Quan
Primary Institution: University of South China
Hypothesis
The study aims to create a comprehensive immune-specific single-cell multi-omics database with harmonized metadata.
Conclusion
scImmOmics serves as a valuable platform for understanding the diversity and regulatory mechanisms of immune cells at the single-cell level.
Supporting Evidence
- scImmOmics documents over 2.9 million cell-type labeled immune cells.
- It includes data from seven single-cell sequencing technologies.
- The database covers 131 immune cell types and 47 tissues.
- Comprehensive immune regulatory information is provided.
- Standardized nomenclature of immune cell types is implemented.
Takeaway
scImmOmics is like a big library that helps scientists understand different types of immune cells and how they work together in our bodies.
Methodology
The database was constructed by curating single-cell immune data from various sequencing technologies and standardizing the metadata.
Limitations
The study does not address potential biases in data collection or the limitations of the existing databases.
Digital Object Identifier (DOI)
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