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Genome-wide analysis of microRNA-mRNA gene regulatory networks reveals widespread involvement of microRNAs in visually guided eye emmetropization and myopia [mRNA sclera]

GSE200053 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/04/03 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 10 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)
During postnatal development, the optical geometry of the eye is refined through a process called emmetropization. During eye emmetropization, optical defocus triggers a signaling cascade that originates in the retina, propagates across other ocular tissues and results in scleral wall remodeling. This signaling is associated with large-scale changes in gene expression, which was extensively studied at the mRNA level.
Read the full summary ↓
Although several studies investigated the role of non-coding RNAs in eye emmetropization, the role of microRNAs (miRNAs) and other non-coding RNAs remains poorly understood. We performed a genome-wide analysis of the miRNA-mRNA gene regulatory networks underlying optical-defocus-induced myopia using massive parallel RNA sequencing (RNA-seq). Our analysis revealed a widespread involvement of miRNAs in optical defocus perception and visually guided eye emmetropization underlying myopia development. We found that a relatively small number of miRNAs (39 miRNAs total) regulate expression of over 450 mRNAs, or 59% of all mRNAs differentially expressed in the eyes of mice with optical-defocus-induced myopia. MiRNAs were also found to be involved in the regulation of the absolute majority of the biological processes and signaling pathways underlying visually guided eye emmetropization and myopia.
This dataset
Open GSE200053 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE200053_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA822801 and SRA study SRP367335. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 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 10 sample titles: 10 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 mouse RNA-seq datasets in GEO →

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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.