medRxiv preprint doi: https://doi.org/10.1101/2020.05.05.20091355; this version posted May 8, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. 1 Longitudinal peripheral blood transcriptional analysis of COVID-19 patients 2 captures disease progression and reveals potential biomarkers 3 Qihong Yan1,5,†, Pingchao Li1,†, Xianmiao Ye1,†, Xiaohan Huang1,5,†, Xiaoneng Mo2, 4 Qian Wang1, Yudi Zhang1, Kun Luo1, Zhaoming Chen1, Jia Luo1, Xuefeng Niu3, Ying 5 Feng3, Tianxing Ji3, Bo Feng3, Jinlin Wang2, Feng Li2, Fuchun Zhang2, Fang Li2, 6 Jianhua Wang1, Liqiang Feng1, Zhilong Chen4,*, Chunliang Lei2,*, Linbing Qu1,*, Ling 7 Chen1,2,3,4,* 8 1Guangzhou Regenerative Medicine and Health-Guangdong Laboratory 9 (GRMH-GDL), Guangdong Laboratory of Computational Biomedicine, Guangzhou 10 Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 11 China 12 2Guangzhou Institute of Infectious Disease, Guangzhou Eighth People’s Hospital, 13 Guangzhou Medical University, Guangzhou, China 14 3State Key Laboratory of Respiratory Disease, National Clinical Research Center for 15 Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated 16 Hospital of Guangzhou Medical University, Guangzhou, China 17 4School of Medicine, Huaqiao University, Xiamen, China 18 5University of Chinese Academy of Science, Beijing, China 19 †These authors contributed equally to this work. 20 *To whom correspondence should be addressed: Ling Chen (
[email protected]), 21 Linbing Qu (
[email protected]), Chunliang Lei (
[email protected]), Zhilong 22 Chen (
[email protected]) NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.