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Comparison of the pathogenicity of CA10 with CA16 and EV71 that cause hand, foot and mouth disease in a mouse model

GSE237009 Mus musculus (mouse) RNA-seq (gene expression) 80 samples Submitted 2024/09/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 80 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
80 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.
Paper
Pathogenicity and transcriptomic profiling reveals immunology molecular hallmarks after CA10 virus infectionAnimal models and experimental medicine · 2024
Summary (written by the submitters)
In this study, models of CA10, CA16 and EV71 infection were established in 7-day-old Institute of Cancer Research (ICR) mice by intraperitoneal injection to analyze the pathogenicity of these viruses. RNA sequencing analysis was used to screen the differentially expressed genes (DEGs) after CA10 infection, and innate immune-related pathways were activated in muscle.
Read the full summary ↓
Compared with CA16 and EV71 infection, CA10 may have an inhibitory effect on Th cell differentiation and cell growth. Additionally, the common DEGs in the three viruses were most enriched in the immune system response, including the Toll-like receptor pathway and the nucleotide-binding and oligomerization domain (NOD)-like pathway. Our findings revealed a group of genes that coordinate in response to CA10 infection and are shared by the three viruses, which increases our understanding of the pathological mechanism of HFMD.
Published in
Pathogenicity and transcriptomic profiling reveals immunology molecular hallmarks after CA10 virus infection
Peng W, Wu J, Zhao B et al. · Animal models and experimental medicine 2024 · PMID 38747004 · doi:10.1002/ame2.12415
This dataset
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.

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 GSE237009_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA993406 and SRA study SRP448448. Searching any of these in the dataset finder brings you back here.

Samples in this study

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