Gene Expression
Nebulas
Gene Expression NebulasSummary: The identification of COVID-19 patients with high-risk of severe disease is a challenge in routine care. We performed blood RNA-seq gene expression analyses in severe hospitalized patients compared to healthy donors. Supervised and unsupervised analyses revealed a high abundance of CD177, a specific neutrophil activation marker, contributing to the clustering of severe patients. Gene abundance correlated with high serum levels of CD177 in severe patients. These results highlight neutrophil activation as a hallmark of severe disease and CD177 assessment as a reliable prognostic marker for routine care.
Overall Design: Analysis of whole-blood gene expression profiles of 44 covid-19 patients and 10 Healthy donnors
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| Growth Protocol: | - |
| Treatment Protocol: | - |
| Extract Protocol: | Total RNA was purified from whole blood with the Tempus™ Spin RNA Isolation Kit (Invitrogen) and globine mRNA depletion carried out with GLOBINclear™ Kit mRNA libraries were prepared with the Illumina TruSeq® Stranded mRNA kit. Single read of 101 bp sequencing was performed on the Illumina HiSeq 2500 at Vaccine Research Institute genomic Platform |
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| Molecule Type: | total RNA; polyA(+) RNA |
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| Library Layout: | SINGLE |
| Library Strand: | Forward |
| Platform: | ILLUMINA |
| Instrument Model: | Illumina HiSeq 2500 |
| Strand-Specific: | Specific |
| Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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