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COVID-19 has become a pandemic as officially declared by the World Health Organization (WHO). As healthcare professionals worldwide fight the virus in the clinics, scientific understanding of this previously unknown coronavirus is also urgently needed. Massively parallel single cell RNA sequencing provides an unbiased view of the gene expression profiles of thousands of individual cells simultaneously. As the technology becomes popular in the last few years, hundreds of datasets have become publicly available. Here we demonstrate bioinformatics methods to quickly identify potential target cell types of the virus in different organs by mining single cell RNA-seq datasets. Insights generated by such analysis, combined with other clinical and biological data, can help clinicians and researchers to better understand the mechanisms of the viral infection as well as to develop better patient management strategies shortly after the outbreak of the diseases. Similarly, such single cell sequencing data mining can also facilitate research in the other areas such as cancer research, immunology, neurology, and developmental biology.
Dr. Fan, VP of Bioinformatics, is in charge of the development of bioinformatics solutions for single cell analysis and construction of Singleron clinical single cell database. Prior to joining Singleron, Dr. Fan was CTO at IsoTex where she was in charge of development of liquid biopsy methods and products based on RNAseq and machine learning. Prior to IsoTex, Dr. Fan worked as Bioinformatics Scientist at Cellular Research Inc. and later Bioinformatics Supervisor at BD (Beckton Dickson Inc., USA)., where she developed bioinformatics analysis algorithms and pipelines for high-throughput single cell sequencing that are now core components of the single cell sequencing products from BD.
Disclaimer: The applications presented here are for research use only. Not for use in diagnostic applications.