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Accession PRJCA002413
Title Immune Cell Profiling of COVID-19 Patients in the recovery stage by Single-cell sequencing
Relevance Medical
Data types Transcriptome or Gene expression
Organisms Homo sapiens
Description In this study, we applied single-cell technology to comprehensively characterize transcriptional changes of peripheral blood mononuclear cells in ten patients recovered from COVID-19.
Sample scope Single cell
Release date 2020-06-09
Publication
PubMed ID Article title Journal name DOI Year
32377375 Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing Cell Discovery 10.1038/s41421-020-0168-9 2020
32780218 A human circulating immune cell landscape in aging and COVID-19 Protein & Cell 10.1007/s13238-020-00762-2 2020
34675242 Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses Scientific Reports 10.1038/s41598-021-00121-z 2021
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) 81722034
National Natural Science Foundation of China (NSFC) 81670015
National Natural Science Foundation of China (NSFC) 81830054
National Natural Science Foundation of China (NSFC) 81530028
National Natural Science Foundation of China (NSFC) 91953122
National Natural Science Foundation of China (NSFC) 31871326
National Natural Science Foundation of China (NSFC) 81721003
National Natural Science Foundation of China (NSFC) 81988101
Ministry of Science and Technology Key Program 2018ZX09101002
Ministry of Science and Technology Key Program 2017ZX100203205
Shanghai Pujiang Program 2019PJD059
Guangdong Natural Science Funds for Distinguished Young Scholar 2016A030306006
Guangdong Natural Science Funds for Distinguished Young Scholar 2020B1515020057
Submitter Chuanle Xiao (xiaochuanle@126.com)
Organization Zhongshan Ophthalmic Center,Sun Yat-sen University
Submission date 2020-03-20

Project Data

Resource name Description
BioSample (15)  show -
GSA (1) -
CRA002497 Immune Cell Profiling of COVID-19 Patients in the recovery stage by Single-cell sequencing