Name
Title | ||
|---|---|---|
COVID-ONE-hi: The One-stop Database for COVID-19-specific Humoral Immunity and Clinical Parameters. |
Abstract | ||
|---|---|---|
Coronavirus disease 2019 (COVID-19), which is caused by SARS-CoV-2, varies with regard to symptoms and mortality rates among populations. Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19. However, differences in immune responses and clinical features among COVID-19 patients remain largely unknown. Here, we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters (named COVID-ONE-hi). COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients. In addition, 96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database. Furthermore, COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups. A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters. After the "START" button is clicked, one can readily obtain a comprehensive analysis report for further interpretation. COVID-ONE-hi is freely available at www.COVID-ONE.cn. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.gpb.2021.09.006 | Genomics, Proteomics & Bioinformatics |
Keywords | DocType | Volume |
Humoral immunity,One-stop tool,Protein microarray,SARS-CoV-2,Shiny | Journal | 19 |
Issue | ISSN | Citations |
5 | 1672-0229 | 0 |
PageRank | References | Authors |
0.34 | 0 | 28 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaowei Xu | 1 | 0 | 0.34 |
| Yang Li | 2 | 0 | 0.34 |
| Qing Lei | 3 | 0 | 0.34 |
| Likun Huang | 4 | 0 | 1.01 |
| Dan-Yun Lai | 5 | 0 | 0.34 |
| Shu-Juan Guo | 6 | 0 | 0.34 |
| He-Wei Jiang | 7 | 0 | 0.34 |
| Hongyan Hou | 8 | 0 | 0.34 |
| Yun-Xiao Zheng | 9 | 0 | 0.34 |
| Xue-Ning Wang | 10 | 0 | 0.34 |
| Jiaoxiang Wu | 11 | 0 | 0.34 |
| Ming-Liang Ma | 12 | 0 | 0.34 |
| Bo Zhang | 13 | 4 | 19.80 |
| Chen Hong | 14 | 21 | 11.66 |
| Caizheng Yu | 15 | 0 | 0.34 |
| Jun-Biao Xue | 16 | 0 | 0.34 |
| Hai-Nan Zhang | 17 | 0 | 0.34 |
| hu | 18 | 4 | 0.76 |
| Siqi Yu | 19 | 0 | 0.34 |
| Mingxi Lin | 20 | 0 | 0.34 |
| Yandi Zhang | 21 | 0 | 0.34 |
| Xiaosong Lin | 22 | 0 | 0.34 |
| Zongjie Yao | 23 | 0 | 0.34 |
| Huiming Sheng | 24 | 0 | 0.34 |
| Ziyong Sun | 25 | 0 | 0.34 |
| Feng Wang | 26 | 9 | 8.41 |
| Xionglin Fan | 27 | 0 | 0.34 |
| Sheng-Ce Tao | 28 | 0 | 0.34 |