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Modeling the Blood-Brain Barrier Formation and Cerebral Cavernous Malformations in human PSCs- and primary tissue-derived organoids

GSE263425 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/05/15 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: 3 × BBB Assembloids, GFP negative vs 3 × BBB Assembloids, GFP positive vs 3 × Cerebral Organoids vs 3 × Vessel OrganoidsGroups 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
Modeling blood-brain barrier formation and cerebral cavernous malformations in human PSC-derived organoidsCell stem cell · 2024
Summary (written by the submitters)
The human blood-brain barrier (hBBB) is a highly specialized structure that regulates passage across blood and CNS compartments. Despite its critical physiological role, there are no reliable in vitro models that can mimic hBBB development and function. Here, we constructed hBBB assembloids from brain and blood vessel organoids derived from human pluripotent stem cells.
Read the full summary ↓
We validated the acquisition of BBB-specific molecular, cellular, transcriptomic, and functional characteristics and uncovered an extensive neuro-vascular crosstalk with a spatial pattern within hBBB assembloids. When we used patient-derived hBBB assembloids to model cerebral cavernous malformations (CCMs), we found that these assembloids recapitulated the cavernoma anatomy and BBB breakdown observed in patients. Upon comparison of phenotypes and transcriptome between patient-derived hBBB assembloids and primary human cavernomas tissues, we uncovered CCM-related molecular and cellular alterations. Taken together, we report hBBB assembloids that mimic core properties of the human BBB and identify a potentially underlying cause of CCMs.
Published in
Modeling blood-brain barrier formation and cerebral cavernous malformations in human PSC-derived organoids
Dao L, You Z, Lu L et al. · Cell stem cell 2024 · PMID 38754427 · doi:10.1016/j.stem.2024.04.019
This dataset
Open GSE263425 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 GSE263425_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 PRJNA1097521 and SRA study SRP500289. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38754427) ↗
Study design
3 × BBB Assembloids, GFP negative vs 3 × BBB Assembloids, GFP positive vs 3 × Cerebral Organoids vs 3 × Vessel Organoids

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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