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Chondrodysplasia-inducing COL2A1 p.Gly1170Ser causes an ER storage defect without associated unfolded protein response in chondronoids

GSE244375 Homo sapiens (human) RNA-seq (gene expression) 78 samples Submitted 2024/07/02 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 78 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
78 samples: 77 distinct titles, 1 of them repeatedGroups 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
ER procollagen storage defect without coupled unfolded protein response drives precocious arthritisLife science alliance · 2024
Summary (written by the submitters)
Collagenopathies are a group of clinically diverse disorders caused by defects in collagen folding and secretion. For example, mutations in the gene encoding collagen type-II (COL2A1), the primary collagen in cartilage, can lead to chondrodysplasias of various severities. One example is the Gly1170Ser substitution in procollagen-II, which causes precocious osteoarthritis and Legg-Calvé-Perthes disease.
Read the full summary ↓
Here, we develop and characterize a novel induced pluripotent stem cell-based cartilage model of this disease, including both hetero- and homozygous genotypes. Biochemical characterization reveals that Gly1170Ser procollagen-II is notably slow to fold and secrete. Instead, procollagen-II accumulates intracellularly, consistent with an endoplasmic reticulum (ER) storage disorder. Intriguingly, though perhaps due to the pathologic substitution occurring within a triple-helical domain that lacks hydrophobic character, this intra-ER protein accumulation is not recognized by cellular stress responses, such as the unfolded protein response. Interactome studies showed that Gly1170Ser procollagen-II interacts to a greater extent with certain ER chaperones and modifying enzymes, consistent with its slow folding. These findings provide mechanistic elucidation into the etiology of this disease. Moreover, the expandable cartilage model developed here provides a valuable platform to rapidly screen and develop therapeutic strategies that can restore procollagen folding and secretion in this collagenopathy and others.
Published in
ER procollagen storage defect without coupled unfolded protein response drives precocious arthritis
Yammine KM, Mirda Abularach S, Kim SY et al. · Life science alliance 2024 · PMID 38981683 · doi:10.26508/lsa.202402842
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 GSE244375_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 PRJNA1022488 and SRA study SRP463925. Searching any of these in the dataset finder brings you back here.

Study design
77 distinct titles, 1 of them repeated
WT 1-4 l ×2

How we read this: Read from 78 sample titles: 77 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

+ 38 more — browse all 78 samples with per-sample file links →

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