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LMNA-Related Dilated Cardiomyopathy: Single-Cell Transcriptomics during Patient-Derived iPSC Differentiation Support Cell Type and Lineage-Specific Dysregulation of Gene Expression and Development for Cardiomyocytes and Epicardium-Derived Cells

GSE269705 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2024/09/03 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
12 samples: 6 × iPSC-CM Differentiation, Control, Day vs 3 × iPSC-CM Differentiation, Patient, DayGroups 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
LMNA -Related Dilated Cardiomyopathy: Single-Cell Transcriptomics during Patient-derived iPSC Differentiation Support Cell type and Lineage-specific Dysregulation of Gene Expression and Development for Cardiomyocytes and Epicardium-Derived Cells with Lamin A/C HaploinsufficiencybioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
LMNA-Related DCM involves cardiomyocyte dysfunction resulting in heart failure or sudden death. It is caused by LMNA mutations encoding Lamin A/C defects involved in nuclear integrity and gene expression. To investigate possible mechanisms, we used iPSC derived from a LMNA c.357-2A>G Patient and her unaffected sister. We differentiated iPSC and conducted scRNA-seq for 4 Patient and 8 Control samples across seven time points from Day 0 to 30.
Read the full summary ↓
Using a comprehensive bioinformatics workflow, we identified 110,521 high-quality cells and complex heterogeneity: ten main cell types, possible subtypes, and lineage bifurcation for Cardiac Progenitors to Cardiomyocytes and Epicardium-Derived Cells (EPDC). By comparative analyses, we found differentially expressed genes (DEG) and enrichment supporting pathway dysregulation for ZNF genes and RNA polymerase II transcription in Pluripotent cells; BMP4 and TGF Beta/BMP signaling, sarcomere genes and cardiogenesis, CDH2 and EMT in Cardiomyocytes; LMNA and epigenetic regulation and DDIT4 and mTORC1 signaling in EPDC. In addition, top DEG included XIST, six imprinted genes, and gene sets in metabolism, proliferation, and homeostasis. We confirmed Lamin A/C haploinsufficiency by allelic expression and Western blot. Our evidence supports disruption of epigenomic developmental programs in LMNA-Related DCM and also demonstrates current challenges of LMNA disease modeling using Patient-derived iPSC.
Published in
LMNA -Related Dilated Cardiomyopathy: Single-Cell Transcriptomics during Patient-derived iPSC Differentiation Support Cell type and Lineage-specific Dysregulation of Gene Expression and Development for Cardiomyocytes and Epicardium-Derived Cells with Lamin A/C Haploinsufficiency
Zaragoza MV, Bui TA, Widyastuti HP et al. · bioRxiv : the preprint server for biology 2024 · PMID 38915555 · doi:10.1101/2024.06.12.598335
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 GSE269705_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: 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 PRJNA1120081 and SRA study SRP512761. Searching any of these in the dataset finder brings you back here.

Study design
6 × iPSC-CM Differentiation, Control, Day vs 3 × iPSC-CM Differentiation, Patient, Day

Supports a case/control comparison: 4 samples read as cases, 8 as controls.

How we read this: 2 replicated groups read from 12 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
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