Acute viral infection with influenza A virus and SARS-CoV-2 accelerates the progression of ALS in SOD1G93A mice.
RNA-seq (gene expression) · mouse · 6 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
- 6 samples: 5 distinct titles, 1 of them repeatedGroups 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 GSE342036_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 PRJNA1505466 and SRA study SRP723150. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 6 sample titles: 5 distinct titles with little repetition. 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.
- GSM9922148 SOD1G93A Uninfected MM155 F4
- GSM9922149 SOD1G93A Uninfected MM155 F5
- GSM9922150 SOD1G93A Uninfected MM155 M10
- GSM9922151 SOD1G93A IAV Infected MM154 M4
- GSM9922152 SOD1G93A IAV infected MM155 F2
- GSM9922153 SOD1G93A IAV Infected MM155 F3
- GSE159911 “Bench-to-Bedside and Back” analysis of NAFLD model reveals common transcriptomic shifts between mouse and human during disease progression 152 samples shares als, progression
- GSE262927 A longitudinal atlas of post-viral lung regeneration reveals persistent injury-associated cell states 33 samples shares als, viral
- GSE300933 Ptpn2 limits plasma cell fate and antiviral immunity by integrating B cell receptor and IFN-γ signals in B cells 23 samples shares als, viral
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares als, progression
- GSE265833 Single cell RNA sequencing reveals limited effects of Lrrk2 genotype in a mouse model of acute CNS inflammation 18 samples shares als, acute
- GSE237260 Transcriptome Analysis Reveals Gene Expression Changes in a mouse Model of Hyperoxia-induced acute lung injury 12 samples shares als, acute
- GSE271578 Kinetical scRNAseq Analysis Reveals Immune Mechanisms Underlying Hindered Lung Recovery following Influenza Virus Infection in Aged Hosts 12 samples shares als, influenza
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares als, progression
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.