mRNAseq profiling of hCoV229E infected A549 cells
RNA-seq (gene expression) · human · 30 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
- 30 samples: 10 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- 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
- NRF2 activators and the inhibitor of nuclear export, selinexor, restrict coronaviruses by targeting a network involving ACE2, TMPRSS2, and XPO1 through an NRF2-independent mechanismCommunications biology · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE280154_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1176558 and SRA study SRP540437. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 24 samples read as cases, 6 as controls.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8588923 A549 cells control 24h 1 A549 cells control 24h
- GSM8588924 A549 cells control 24h 2 A549 cells control 24h
- GSM8588925 A549 cells control 24h 3 A549 cells control 24h
- GSM8588926 A549 cells hCoV229E infected 24h 1 A549 cells hCoV229E inf…
- GSM8588927 A549 cells hCoV229E infected 24h 2 A549 cells hCoV229E inf…
- GSM8588928 A549 cells hCoV229E infected 24h 3 A549 cells hCoV229E inf…
- GSM8588929 A549 cells hCoV229E infected+ Bardoxolone treatment 24h 1 A549 cells hCoV229E inf…
- GSM8588930 A549 cells hCoV229E infected+ Bardoxolone treatment 24h 2 A549 cells hCoV229E inf…
- GSM8588931 A549 cells hCoV229E infected+ Bardoxolone treatment 24h 3 A549 cells hCoV229E inf…
- GSM8588932 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 24h 1 A549 cells hCoV229E inf…
- GSM8588933 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 24h 2 A549 cells hCoV229E inf…
- GSM8588934 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 24h 3 A549 cells hCoV229E inf…
- GSM8588941 A549 cells hCoV229E infected+ selinexor treatment 24h 1 A549 cells hCoV229E inf…
- GSM8588952 A549 cells hCoV229E infected+ selinexor treatment 24h 2 A549 cells hCoV229E inf…
- GSM8588960 A549 cells hCoV229E infected+ selinexor treatment 24h 3 A549 cells hCoV229E inf…
- GSM8588970 A549 cells control 48h 1 A549 cells control 48h
- GSM8588979 A549 cells control 48h 2 A549 cells control 48h
- GSM8588988 A549 cells control 48h 3 A549 cells control 48h
- GSM8588997 A549 cells hCoV229E infected 48h 1 A549 cells hCoV229E inf…
- GSM8588998 A549 cells hCoV229E infected 48h 2 A549 cells hCoV229E inf…
- GSM8588999 A549 cells hCoV229E infected 48h 3 A549 cells hCoV229E inf…
- GSM8589000 A549 cells hCoV229E infected+ Bardoxolone treatment 48h 1 A549 cells hCoV229E inf…
- GSM8589001 A549 cells hCoV229E infected+ Bardoxolone treatment 48h 2 A549 cells hCoV229E inf…
- GSM8589002 A549 cells hCoV229E infected+ Bardoxolone treatment 48h 3 A549 cells hCoV229E inf…
- GSM8589003 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 48h 1 A549 cells hCoV229E inf…
- GSM8589004 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 48h 2 A549 cells hCoV229E inf…
- GSM8589005 A549 cells hCoV229E infected+ 4-octyl itaconate treatment 48h 3 A549 cells hCoV229E inf…
- GSM8589006 A549 cells hCoV229E infected+ selinexor treatment 48h 1 A549 cells hCoV229E inf…
- GSM8589007 A549 cells hCoV229E infected+ selinexor treatment 48h 2 A549 cells hCoV229E inf…
- GSM8589008 A549 cells hCoV229E infected+ selinexor treatment 48h 3 A549 cells hCoV229E inf…
- GSE304966 Transcriptomic profiling of A549 cells in response to dexamethasone, in the context of light-controlled GR degradation using novel GR-PhotoPROTACs 36 samples shares a549
- GSE292720 Transcriptomic profiling of baricitinib effects on host immune response to RVFV infection in A549 cells and organoids 24 samples shares a549
- GSE228336 Hypoxia and lactate influence VOC production in A549 lung cancer cells 108 samples shares a549
- GSE244427 mRNA expression profiling of A549 cells treated with TSA at different time points 10 samples shares a549
- GSE285217 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_A549 270 samples shares a549
- GSE244687 Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_A549 270 samples shares a549
- GSE334631 Transcriptional response of A549 lung cancer cells to X-rays under normoxia, or chronic or transient hypoxia 24 samples shares a549
- GSE334632 Transcriptional response of A549 lung cancer cells to carbon ions under normoxia, or chronic or transient hypoxia 24 samples shares a549
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.