Single-cell RNA-seq of PBMCs from severe COVID-19 patients
Release date:
2020-07-17
Description:
Here, we profiled the single-cell transcriptomes of 13,289 peripheral blood mononuclear cells isolated at three longitudinal stages from two severe COVID-19 patients treated with Tocilizumab. We identified a severe stage-specific monocyte subpopulation that contributed to patients' inflammatory storm. Further investigation of the other differential cell subtypes revealed a boosted humoral and cell-mediated immunity to respond viral infection in severe COVID-19 patients. Finally, we illustrated a severe stage-specific monocyte-centric immune cell interaction network connected by the inflammatory cytokines and their receptors. These results provided additional insights into the immunopathogenesis of COVID-19 and candidate drugs for the treatment of severe patients.
For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.
With the rapid development of sequencing technologies, more and more data is generated in a faster and faster pace, driving the biomedical research into the era of big data and personalized genomics. The goal of our lab is to decipher, interpret and manage the digital life at a single cell resolution. The lab is integrating expertise in Bioinformatics, Immunology, Genomics and Artificial Intelligence (BIGAI) to develop novel experimental and computational methods to predict, dissect and control the large-scale single cell gene regulatory programs, and to provide insights into precise diagnosis and therapeutics for human cancer and autoimmune diseases.
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