GEO series

Cellular Crosstalk Drives Hypertrophic Cardiomyopathy in LZTR1 Deficiency

GSE271775 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/04/02 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 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: Homo sapiens (human)
Samples: 12 samples
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)

LZTR1 deficiency causes Noonan syndrome (NS) and is associated with the manifestation of severe and early-onset hypertrophic cardiomyopathy (HCM). Although paracrine communication is thought to play a critical role in cardiac pathology, little is known about the underlying pathomechanism leading to the development of HCM and cardiac fibrosis in NS.

Read the full summary ↓

In the present study, we used 2D and 3D iPSC models with LZTR1 deficiency to dissect the impact of non-cardiomyocytes in the development of NS-associated HCM and uncovered a cytokine-mediated intercellular crosstalk, predominantly activated in the disease state, as a major driver of cardiac hypertrophy and cardiac fibrosis.

This dataset

Open GSE271775 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 GSE271775_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 PRJNA1133071 and SRA study SRP518657. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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Search all human 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.