Host transcriptome in human lung A549 cells infected with SARS-CoV-2 expressing wild-type and mutant (H234A and N277A) Nsp15
RNA-seq (gene expression) · human · 24 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
- 24 samples: 8 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.
Read the full summary ↓
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 GSE274310_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 PRJNA1143096 and SRA study SRP523755. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8447165 A549-ACE2, mock, 8hpi, rep1 A549-ACE2, mock, 8hpi,
- GSM8447166 A549-ACE2, mock, 8hpi, rep2 A549-ACE2, mock, 8hpi,
- GSM8447167 A549-ACE2, mock, 8hpi, rep3 A549-ACE2, mock, 8hpi,
- GSM8447168 A549-ACE2, WT, 8hpi, rep1 A549-ACE2, WT, 8hpi,
- GSM8447169 A549-ACE2, WT, 8hpi, rep2 A549-ACE2, WT, 8hpi,
- GSM8447170 A549-ACE2, WT, 8hpi, rep3 A549-ACE2, WT, 8hpi,
- GSM8447171 A549-ACE2, H234A, 8hpi, rep1 A549-ACE2, H234A, 8hpi,
- GSM8447172 A549-ACE2, H234A, 8hpi, rep2 A549-ACE2, H234A, 8hpi,
- GSM8447173 A549-ACE2, H234A, 8hpi, rep3 A549-ACE2, H234A, 8hpi,
- GSM8447174 A549-ACE2, N277A, 8hpi, rep1 A549-ACE2, N277A, 8hpi,
- GSM8447175 A549-ACE2, N277A, 8hpi, rep2 A549-ACE2, N277A, 8hpi,
- GSM8447176 A549-ACE2, N277A, 8hpi, rep3 A549-ACE2, N277A, 8hpi,
- GSM8447177 A549-ACE2, mock, 24hpi, rep1 A549-ACE2, mock, 24hpi,
- GSM8447178 A549-ACE2, mock, 24hpi, rep2 A549-ACE2, mock, 24hpi,
- GSM8447179 A549-ACE2, mock, 24hpi, rep3 A549-ACE2, mock, 24hpi,
- GSM8447180 A549-ACE2, WT, 24hpi, rep1 A549-ACE2, WT, 24hpi,
- GSM8447181 A549-ACE2, WT, 24hpi, rep2 A549-ACE2, WT, 24hpi,
- GSM8447182 A549-ACE2, WT, 24hpi, rep3 A549-ACE2, WT, 24hpi,
- GSM8447183 A549-ACE2, H234A, 24hpi, rep1 A549-ACE2, H234A, 24hpi,
- GSM8447184 A549-ACE2, H234A, 24hpi, rep2 A549-ACE2, H234A, 24hpi,
- GSM8447185 A549-ACE2, H234A, 24hpi, rep3 A549-ACE2, H234A, 24hpi,
- GSM8447186 A549-ACE2, N277A, 24hpi, rep1 A549-ACE2, N277A, 24hpi,
- GSM8447187 A549-ACE2, N277A, 24hpi, rep2 A549-ACE2, N277A, 24hpi,
- GSM8447188 A549-ACE2, N277A, 24hpi, rep3 A549-ACE2, N277A, 24hpi,
- GSE315495 SARS-CoV-2 spike protein exerts an anti-cancer effect by regulating MEG3 and BCYRN1 in A549 cells 4 samples shares sars-cov-2, a549
- GSE271378 Exploring host cellular responses to SARS-CoV-2 variants using RNA sequencing of infected human airway epithelial cells 44 samples shares sars-cov-2, infected
- GSE254699 Transcriptional profiling of SARS-CoV-2-infected Calu-3 cells. 42 samples shares sars-cov-2, infected
- GSE252508 Frequency, kinetics and determinants of viable SARS-CoV-2 in bioaerosols from ambulatory COVID-19 patients infected with the β, δ or ο variants 33 samples shares sars-cov-2, infected
- GSE241292 SARS-CoV-2-infected human nasal epithelial air-liquid interface cultures 16 samples shares sars-cov-2, infected
- GSE167410 Histone H4 is increased in SARS-CoV-2-infected lung epithelial cells and linked to COVID-19 severity 16 samples shares sars-cov-2, infected
- GSE262439 Single-cell RNA-sequencing of human bronchial epithelial organoids infected by four different betacoronaviruses; HCoV-OC43, SARS-CoV, MERS-CoV, and SARS-CoV-2 and mock control. 15 samples shares sars-cov-2, infected
- GSE276544 MVA-based SARS-CoV-2 vaccine candidates encoding different spike protein conformations induce distinct early transcriptional responses which may impact subsequent adaptive immunity 305 samples shares sars-cov-2
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.