Summary: Frontal Cortex whole transcriptome sequencing in COVID-19 elderly patients
Overall Design: SARS-Cov-2 infection is frequently associated with Nervous System (NS) manifestations. However, it is not clear how SARS-CoV-2 can cause neurological dysfunctions and which molecular processes affects. In this work, we examined the frontal cortex tissue of patients who died of COVID-19 for the presence of SARS-CoV-2, comparing qRT-PCR with ddPCR. We also investigated the transcriptomic profile of frontal cortex from COVID-19 patients and matched controls by RNA-seq analysis to characterize the transcriptional signature.
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Growth Protocol: | Autoptic human brain samples were collected. Slices of anterior frontal lobe were fresh cut into about 10 mm thickness and frozen at -80°C. |
Treatment Protocol: | - |
Extract Protocol: | Samples were homogenized and total RNA was isolated by Trizol® reagent (Life Science Technologies, Italy) following the manufacturer’s specifications. RNAs were quantified using a Nanodrop ND-100 Spectrophotometer (Nanodrop Technologies, Wilmington, USA) and a 2100 Bioanalyzer (Agilent RNA 6000 Nano Kit, Waldbronn, Germany); RNAs with a 260:280 ratio of ≥1.5 and an RNA integrity number of ≥8 were subjected to deep sequencing. Sequencing libraries were prepared by the Lexogen CORALL Total RNA-Seq Library Prep Kit using 500-ng total RNA (Lexogen). Qualities of sequencing libraries were assessed with 4200 TapeStation with the DNA1000 reagent kit. RNA processing has been carried out using Illumina NextSeq 500 Sequencing. |
Library Construction Protocol: | Library Prep Kit using 500-ng total RNA (Lexogen). Qualities of sequencing libraries were assessed with 4200 TapeStation with the DNA1000 reagent kit. RNA processing has been carried out using Illumina NextSeq 500 Sequencing. |
Molecule Type: | total RNA |
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Library Layout: | PAIRED |
Library Strand: | Reverse; - |
Platform: | ILLUMINA |
Instrument Model: | Illumina NextSeq 500 |
Strand-Specific: | Specific; Unspecific |
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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