GEO series

Schwann cell plasticity regulates neuroblastic tumor cell differentiation

GSE147635 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2020/12/23 Platform GPL11154

At a glance

RNA-seq (gene expression) · human · 24 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: 24 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)

The remarkable plasticity of Schwann cells (SCs) is essential for nerve regeneration but also contributes to neuropathies and cancer progression. It has not yet been investigated whether the adaptive potential of SCs is manifested in stromal, tumor associated SCs characteristically found within a benign subtype of neuroblastic tumors (NBTs).

Read the full summary ↓

We here performed transcriptome profiling of human NBTs, rich and poor in SC stroma, as well as human injured nerves, rich in repair SCs, revealing that stromal SCs exhibit a repair SC characteristic gene expression signature. In turn, primary repair SCs had a pro-differentiating and anti-proliferative effect on NBT cell lines after direct and trans-well co-culture. Within the pool of secreted stromal/repair SC factors, we identified EGFL8, a matricellular protein with so far undescribed function, to induce neuronal differentiation of aggressive NBT cells. EGFL8 expression further correlated with favorable tumor stage and increased patient survival. Our findings suggest that stromal SCs exert nerve repair associated functions in the tumor-environment and underline the therapeutic value of SC-derived factors for aggressive, SC stroma-poor NBTs.

This dataset

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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 GSE147635_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 PRJNA615860 and SRA study SRP254314. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 33712610) ↗

Samples in this study

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+ 24 more — browse all 24 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.