Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA736410: Assessment of the platelet transcriptome in patients with COVID-19 versus controls

Source: NCBI / GSE176480
Submission Date: Jun 09 2021
Release Date:
Update Date: Dec 10 2021

Summary: To understand how COVID-19 alters the platelet transcriptome.

Overall Design: A cohort of eight hospitalized COVID-19 patients (n=8) were recruited from NYU Langone Health between May 11-21, 2020. SARS-CoV-2 infection was confirmed by RT-PCR, in accordance with current standards. All COVID-19 patients and , age-, and sex-matched control donors were recruited under study protocols approved by the NYU Langone Health Institutional Review Board. Each study participant or their Legal Authorized Representative gave written informed consent for study enrollment in accordance with the Declaration of Helsinki. For COVID-19 patients, enrollment criteria included age greater than 18, hospital admission, positive SARS-CoV-2 testing, and informed consent. COVID-19 patients were monitored until discharge or death.

GEN Datasets:
GEND000376
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: -
Treatment Protocol: -
Extract Protocol: Direct-zol RNA microspin columns
Library Construction Protocol: Sequencing libraries were barcoded and prepared using the Clontech SMART-Seq HT with Nxt HT kit (Takara Bio USA) as per the manufacturer's instruction
Sequencing
Molecule Type: polyA(+) RNA
Library Source:
Library Layout: PAIRED
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina NovaSeq 6000
Strand-Specific: Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
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
Publications
Platelets contribute to disease severity in COVID-19.
Journal of thrombosis and haemostasis : JTH . 2021-09-29 [PMID: 34538015]