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Transcriptome Analysis of Rabies virus-infected Mice Salivary Glands

GSE248365 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2023/11/26 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 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.
Summary (written by the submitters)
Rabies is a fatal zoonotic disease posing a threat to the public health globally. Rabies virus (RABV) is excreted in the saliva of infected animals, and is primarily transmitted through bite contact. Salivary glands play an important role for virus propagation. However, the significance of salivary glands is less studied in RABV pathogenic mechanisms.
Read the full summary ↓
To identify functionally important genes in the salivary glands, we employed RNA sequencing (RNA-seq) to establish and analyze mRNA expression profiles in parotid tissue infected with two RABV strains, CVS-11 and PB4. We map the transcriptome changes in response to RABV infection in parotid tissue for the first time. This work provides new clues to the study of RABV-affected salivary gland function and RABV transmission mechanisms in parotid tissue. And the salivary gland-enriched transcripts could be potential targets of interest for rabies disease control.
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 GSE248365_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 PRJNA1043603 and SRA study SRP473240. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 9 more — browse all 9 samples with per-sample file links →

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