DAC
Peripheral immunoprofiling of stratifies COVID-19 patients based on disease-specific neutrophil signatures
Dac ID | Contact Person | Access Information | |
---|---|---|---|
EGAC00001001640 | Thomas Ulas | t [dot] ulas [at] uni-bonn [dot] de | No additional information is available |
This DAC controls 2 datasets:
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001006326 | The SARS-CoV-2 pandemic has led to increasing numbers of COVID-19 patients all over the world. Aetiopathologies range from no symptoms, mild flu-like to severe cases succumbing to respiratory failure. Reports on a dysregulated immune system in the severe cases, showing similarities to cytokine release syndrome, calls for better characterization and understanding of the changes in the immune system as well as their variance across COVID-19 patients in order to be able to design according to host-directed therapies. Here, we profiled blood transcriptomes of 39 COVID-19 patients and 10 control donors. Enriched granulocyte signatures in whole blood samples were verified in granulocyte samples from 49 COVID-19 patients in a second cohort. | NextSeq 500 | 79 |
EGAD00001006671 | The SARS-CoV-2 pandemic has led to increasing numbers of COVID-19 patients all over the world. Aetiopathologies range from no symptoms, mild flu-like to severe cases succumbing to respiratory failure. Reports on a dysregulated immune system in the severe cases, showing similarities to cytokine release syndrome, calls for better characterization and understanding of the changes in the immune system as well as their variance across COVID-19 patients in order to be able to design according to host-directed therapies. Here, we profiled blood transcriptomes of 39 COVID-19 patients and 10 control donors. Enriched granulocyte signatures in whole blood samples were verified in granulocyte samples from 49 COVID-19 patients in a second cohort. | NextSeq 500 | 41 |