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Targeting GI-SINE (Growth inducing B2-SINE) RNA in DRG neurons by Antisense Oligonucleotides (ASO)

GSE262153 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 4 × DRG culture, ASO Control 50nM vs 4 × DRG culture, ASO mix 50nM vs 4 × DRG culture, untransfectedGroups 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.
Summary (written by the submitters)
We identified 2 specific motifs that are enriched in GI-SINE RNA expressed in sciatic-nerve injured DRG neurons compared to non-regulated B2-SINE RNAs. We designed a mix of 5 ASOs (21nt phosphorothioate DNA with LNA-flanks) that target these motifs and transfected those into cultured dorsal root ganglia (DRG) neurons. Control ASO was based on a 21nt non-targetting sequence from shControl backbone (addgene plasmid #85741).
Read the full summary ↓
Primary DRG neurons were transfected using Dharmafect-4 with ASO at 50nM final concentration 1 hour after plating. Cultures were processed for RNA extraction 48h after transfection for RNA sequencing to identify changes in B2-SINE expression.
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 GSE262153_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 PRJNA1090485 and SRA study SRP497030. Searching any of these in the dataset finder brings you back here.

Study design
4 × DRG culture, ASO Control 50nM vs 4 × DRG culture, ASO mix 50nM vs 4 × DRG culture, untransfected

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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
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