HKU Data Repository

File(s) under permanent embargo

Reason: Materials may contain confidential information and many of the data submitted will be used for publication. The manuscript is under preparation.

Supporting data for “High-resolution profiles of dynamic antibody responses to SARS-CoV-2 and autoantigens”

posted on 2022-08-31, 09:01 authored by Wan XuWan Xu


Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) elicit antibody response in most patients within three weeks of symptom onset. While SARS-CoV-2 infection result in protective antibodies, other potential pathogenic antibodies can also be generated, resulting in pathogenic inflammatory responses in both the acute phase and long COVID-19. In this project, we established a sequence-linked immunosorbent assay (SLISA) to comprehensively investigate the target specificity and temporal dynamics of antibody responses in COVID-19 patients against SARS-CoV-2 on the genomic scale. Furthermore, by examining antibody response to 1164 known autoantigens, we found that COVID-19 induced antibodies against cellular proteins related to neurological, immunological, and coagulation functions. Some autoantibodies can stimulate T cells in a CD3-dependent manner. Using SLISA, we demonstrated the continuous change in antibody responses against viral- and auto-antigens during the acute and convalescent phases of COVID-19. The platform can be broadly applicable to systematically investigating antibody responses in many physiological and pathological conditions.

This is the supporting data set for "High-resolution profiles of dynamic antibody responses to SARS-CoV-2 and autoantigens". It contains relevent raw and processed data for this project, including gel electrophoresis images, PCR data, luminex and elisa data, SLISA analysis, etc. 


Usage metrics

    Research Postgraduates


    Ref. manager