Persistent complement dysregulation with signs of thromboinflammation in active Long Covid
Description
Data associated with publication: C. Cervia-Hasler et al., Science 383, eadg7942 (2024). DOI: 10.1126/science.adg7942 Data was generated in a cohort of 113 COVID-19 patients and 39 healthy individual collected in 4 hospital in Zurich (Switzerland), during acute COVID-19 and at 6-month follow-up. 40 of the 113 COVID-19 patients experienced symptomatic long COVID at 6-month follow-up. Files include: - Clinical data and serum proteomics (SomaScan; SomaLogic, Boulder, CO, USA) - Mass spectrometry - Flow cytometry - Single-cell transcriptomics - VirScan data on protein and species level - Annotated and original SDS-PAGE and Western Blot images Original code (python) for analysis of SomaScan data is provided via GitHub: https://github.com/BorgwardtLab/LongCOVID or Zenodo (doi: 10.5281/zenodo.10022438).
Files
Steps to reproduce
Five excel files, four RDS files (for R), one PDF file, and two TIF files are provided. - Excel file 1, Cervia_Hasler_et_al_2024_Proteomics_Clinical_Data_Acute_plus_healthy: Clinical information + SomaScan measurements (log10-transformed) generated during acute COVID-19 in 113 COVID-19 patients + 39 healthy controls. - Excel file 2, Cervia_Hasler_et_al_2024_Proteomics_Clinical_Data_6M_timepoint: Clinical information + SomaScan measurements (log10-transformed) generated at 6-month follow-up in 113 COVID-19 patients. - Excel file 3, Cervia_Hasler_et_al_2024_Proteomics_Clinical_Data_Labels: Clinical information on long COVID outcome. To be used as label for predictive modeling using input files 1 and 2. - Excel file 4, Cervia_Hasler_et_al_2024_Proteomics_SomaScan_Aptamer_Info: Aptamer sequence annotation with Target Protein name, Entrez Gene ID, and UniProt ID. - Excel file 5, Cervia_Hasler_et_al_2024_Mass_Spectrometry_6M_timepoint: Mass spectometry measurements (intensities) generated at 6-month follow-up in 113 COVID-19 patients. - PDF and TIF files: Annotated and original SDS-PAGE and Western Blot images. - RDS file 1, Cervia_Hasler_et_al_2024_scRNAseq.rds: Single-cell RNA sequencing of sorted monocytes from PBMC's, generated at 6-month follow-up in 20 COVID-19 patients and healthy controls. (requires "Seurat" library, https://satijalab.org/seurat/articles/install). - RDS file 2, Cervia_Hasler_et_al_2024_Flow_Cytometry.rds: Spectral flow cytometry of monocytes, generated at 6-month follow-up in 22 COVID-19 patients and healthy controls. - RDS file 3, Cervia_Hasler_et_al_2024_VirScan_ProteinLevel.rds: VirScan data generated during acute COVID-19 in 75 COVID-19 patients and healthy controls. - RDS file 4, Cervia_Hasler_et_al_2024_VirScan_SpeciesLevel.rds: VirScan data generated during acute COVID-19 in 75 COVID-19 patients and healthy controls. Files can be joined together using anonymized Sample IDs or Patient IDs.
Institutions
Categories
Funding
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung