← BioTransfer GEO Dataset Finder
GEO series

MEG3 Upregulation in Myotonic Dystrophy and Its Correction by Antisense Conjugates Targeting Disease-Causing Mutations [mRNA-seq]

GSE262163 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/03/21 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Samples
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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)
MEG3 upregulation has been confirmed to independently promote apoptosis in cancer, cardiovascular disease, and Alzheimer’s Disease. In this study, we unveiled that MEG3 is highly upregulated in Myotonic Dystrophy 1 (DM1) human muscle cells when compared with wild type cells. It is also increased in the muscle of DM1 mouse models, 15-fold in HSA-LR, and 6-fold in LC15.
Read the full summary ↓
We also observed an increase of MEG3 in SMA mice (5-fold) indicating that MEG3 levels could play a role in the neuromuscular pathology leading to cell loss. Additionally in DM1, RNA sequencing revealed transcript retention of miRNAs and LncRNAs in the nucleus versus the cytoplasm, a phenomenon not observed with mRNAs. This nuclear retention could exacerbate pathological mechanisms involving non-coding RNA, such as MEG3-led apoptosis. In DM1 mice (HSA-LR), the correction of DM1 pathology with a peptide antisense oligonucleotide conjugate targeting the repeat expansion, a family of compounds currently being tested in a DM1 clinical trial, was able to also reduce the levels of MEG3. When direct interventions for the root cause of a disease are unavailable, the downregulation of MEG3 and its effect on apoptosis may serve as an alternative therapeutic approach, notably in conditions that arise from complex interactions of genetic and environmental factors.
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 GSE262163_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 PRJNA1090497 and SRA study SRP497042. Searching any of these in the dataset finder brings you back here.

Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 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.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.