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COVID-19 vaccination is associated with attenuation of inflammatory responses during breakthrough disease [Illumina RNA-Seq]

GSE228839 Homo sapiens (human) RNA-seq (gene expression) 180 samples Submitted 2024/03/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 180 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
180 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Multi-omics analysis reveals COVID-19 vaccine induced attenuation of inflammatory responses during breakthrough diseaseNature communications · 2024
Summary (written by the submitters)
A subset of individualsenrolledina randomised controlled trial ofChAdOx1 nCoV-19 and received either ChAdOx1 COVID-19 or control MenACWY vaccine whoexperienced COVID-19-associated symptoms were evaluated using multi-omictechnologies. Participants were selected to represent symptomatic individuals with and without COVID-19 as determined by a nucleic acid amplification test (NAAT) for stage 1 and only NAAT+ve for stage 2 of the study.
Published in
Multi-omics analysis reveals COVID-19 vaccine induced attenuation of inflammatory responses during breakthrough disease
Drury RE, Camara S, Chelysheva I et al. · Nature communications 2024 · PMID 38649734 · doi:10.1038/s41467-024-47463-6
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE228839_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA951716 and SRA study SRP430650. Searching any of these in the dataset finder brings you back here.

Samples in this study

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