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Macrophage depletion alleviates pain-related behaviors in osteoarthritic mice

GSE246252 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2024/09/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 5 × DRG, DMM AP20187 treated, sample vs 5 × DRG, DMM vehicle treated, sample vs 5 × DRG, naive vehicle treated, sample vs 4 × DRG, naive AP20187 treated, sampleGroups 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
Acute systemic macrophage depletion in osteoarthritic mice alleviates pain-related behaviors and does not affect joint damagebioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
The objectives of this study were to determine the effect of macrophage depletion on pain-like behaviors, joint damage, and DRG molecular changes in both male and female mice with osteoarthritis.
Published in
Acute systemic macrophage depletion in osteoarthritic mice alleviates pain-related behaviors and does not affect joint damage
Geraghty T, Ishihara S, Obeidat AM et al. · bioRxiv : the preprint server for biology 2024 · PMID 39229102 · doi:10.1101/2024.08.16.608301
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 GSE246252_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 PRJNA1032140 and SRA study SRP468459. Searching any of these in the dataset finder brings you back here.

Study design
5 × DRG, DMM AP20187 treated, sample vs 5 × DRG, DMM vehicle treated, sample vs 5 × DRG, naive vehicle treated, sample vs 4 × DRG, naive AP20187 treated, sample

Supports a between-group comparison across 19 samples.

How we read this: 4 replicated groups read from 19 sample titles; they account for 19 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.

Samples in this study
Datasets on a similar topic

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