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Bulk RNA-sequencing of A549 cells transduced with Ad5 empty vector (GFP) or Ad5 expressing SARS-CcV-2 nucleocapsid (AdN)

GSE231733 Homo sapiens (human) RNA-seq (gene expression) 2 samples Submitted 2026/05/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 2 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
2 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.
Summary (written by the submitters)
To investigate how the abundant expression of SARS-CoV-2 nucleocapsid might change the transcriptome, A549 human lung carcinoma cells were transduced with replication-deficient recombinant human adenovirus type‐5 expressing SARS-CcV-2 nucleocapsid (AdN) or the empty vetor (GFP). Twenty-four hours later, the transduced cells were subjected to bulk RNA sequencing.
This dataset
Open GSE231733 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE231733_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA967383 and SRA study SRP435993. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

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