最新重要论文(影响因子PNAS及以上)

SpatialDB: a database for spatially resolved transcriptomes, Nuleic Acids Res, 12 Nov 2019

发布时间:2019年11月12日

Nucleic Acids Research12 November, 2019,DOI:https://doi.org/10.1093/nar/gkz934

SpatialDB: a database for spatially resolved transcriptomes

Zhen Fan, Runsheng Chen, Xiaowei Chen

Abstract

Spatially resolved transcriptomic techniques allow the characterization of spatial organization of cells in tissues, which revolutionize the studies of tissue function and disease pathology. New strategies for detecting spatial gene expression patterns are emerging, and spatially resolved transcriptomic data are accumulating rapidly. However, it is not convenient for biologists to exploit these data due to the diversity of strategies and complexity in data analysis. Here, we present SpatialDB, the first manually curated database for spatially resolved transcriptomic techniques and datasets. The current version of SpatialDB contains 24 datasets (305 sub-datasets) from 5 species generated by 8 spatially resolved transcriptomic techniques. SpatialDB provides a user-friendly web interface for visualization and comparison of spatially resolved transcriptomic data. To further explore these data, SpatialDB also provides spatially variable genes and their functional enrichment annotation. SpatialDB offers a repository for research community to investigate the spatial cellular structure of tissues, and may bring new insights into understanding the cellular microenvironment in disease. SpatialDB is freely available at https://www.spatialomics.org/SpatialDB.

文章链接:https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkz934/5622703

 

 

 

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