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Mechanical-biochemical signaling accelerates scleral remodeling in myopia via the LaminA/C-Emerin-MKL1 axis

GSE316874 Homo sapiens (human) Single-cell RNA-seq 9 samples Submitted 2026/06/03 Platform GPL34284
At a glance

Single-cell RNA-seq · human · 9 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
9 samples: 3 × siNC vs 3 × siLMNA vs 3 × siEMDGroups 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
Mechanical-biochemical signaling accelerates scleral remodeling in myopia via the LaminA/C-Emerin-MKL1 axisCell communication and signaling : CCS · 2026
Summary (written by the submitters)
Scleral remodeling is the pathological basis of axial elongation during the progression of myopia. However, the mechanism underlying the onset and progression of scleral remodeling remains unclear. Here, based on reanalysis of single-cell RNA sequencing data, we showed that aberrant biomechanics in the sclera serve as signals that promote extracellular matrix (ECM) remodeling during the development of myopia via LaminA/C-Emerin-MKL1 axis, and followed by a decrease in collagen synthesis in scleral fibroblasts.
Read the full summary ↓
Mice with lens-induced myopia (LIM) and guinea pigs with form-deprivation myopia (FDM) exhibited nuclear deformation and dysregulation of nuclear envelope (NE) proteins in sclera. We established a mechanical model to investigate the role of matrix stiffness in regulating collagen synthesis in human primary scleral fibroblasts. In contrast to stiff substrates, soft matrix attenuated the sequestration of LaminA/C and Emerin in the NE and impaired MKL1 nuclear accumulation and COL1A1 transcription. Interventions for MKL1 induced or inhibited the progression of myopia in vivo. We illustrate the therapeutic potential of a novel mechanointerference strategy that blocks scleral remodeling and myopia progression.
Published in
Mechanical-biochemical signaling accelerates scleral remodeling in myopia via the LaminA/C-Emerin-MKL1 axis
Liu Y, Liu X, Liu M et al. · Cell communication and signaling : CCS 2026 · PMID 41947146 · doi:10.1186/s12964-026-02809-z
This dataset
Open GSE316874 in finder → Find more human 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 GSE316874_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1405473 and SRA study SRP664650. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41947146) ↗
Study design
3 × siNC vs 3 × siLMNA vs 3 × siEMD

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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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