IL-13 decreases suceptibility to airway epithelial SARS-CoV-2 infection but increases disease severity in vivo [Bulk RNA-seq]
RNA-seq (gene expression) · mouse · 16 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
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × lung epithelia, vehicle, noMAV, dono vs 4 × lung epithelia, IL13, noMAV, dono vs 4 × lung epithelia, vehicle,MAV, dono vs 4 × lung epithelia, IL13,MAV, donoGroups 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
- A predominately pulmonary activation of complement in a mouse model of severe COVID-19bioRxiv : the preprint server for biology · 2024
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 GSE249304_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 PRJNA1048482 and SRA study SRP475682. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM7933310 lung epithelia, vehicle, noMAV, donor1 lung epithelia, vehicle…
- GSM7933311 lung epithelia, vehicle, noMAV, donor2 lung epithelia, vehicle…
- GSM7933312 lung epithelia, vehicle, noMAV, donor3 lung epithelia, vehicle…
- GSM7933313 lung epithelia, vehicle, noMAV, donor4 lung epithelia, vehicle…
- GSM7933314 lung epithelia, IL13, noMAV, donor1 lung epithelia, IL13, n…
- GSM7933315 lung epithelia, IL13, noMAV, donor2 lung epithelia, IL13, n…
- GSM7933316 lung epithelia, IL13, noMAV, donor3 lung epithelia, IL13, n…
- GSM7933317 lung epithelia, IL13, noMAV, donor4 lung epithelia, IL13, n…
- GSM7933318 lung epithelia, vehicle,MAV, donor1 lung epithelia, vehicle…
- GSM7933319 lung epithelia, vehicle,MAV, donor2 lung epithelia, vehicle…
- GSM7933320 lung epithelia, vehicle,MAV, donor3 lung epithelia, vehicle…
- GSM7933321 lung epithelia, vehicle,MAV, donor4 lung epithelia, vehicle…
- GSM7933322 lung epithelia, IL13,MAV, donor1 lung epithelia, IL13,MA…
- GSM7933323 lung epithelia, IL13,MAV, donor2 lung epithelia, IL13,MA…
- GSM7933324 lung epithelia, IL13,MAV, donor3 lung epithelia, IL13,MA…
- GSM7933325 lung epithelia, IL13,MAV, donor4 lung epithelia, IL13,MA…
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- GSE307773 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [RNA-Seq] 175 samples shares epithelial, rna-seq
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- GSE205410 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [bulkRNA-seq] 47 samples shares epithelial, rna-seq
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- GSE300722 Organoid modeling of lung branching morphogenesis and epithelial lineage specification [RNA-Seq] 40 samples shares epithelial, rna-seq
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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.