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Integration of single-nuclei RNA-sequencing and spatial transcriptomics defines the complex microenvironment of NF1-associated plexiform neurofibromas

GSE232766 Homo sapiens (human) Spatial transcriptomics 12 samples Submitted 2023/10/04 Platform GPL24676
At a glance

Spatial transcriptomics · human · 12 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
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)
Plexiform neurofibroma (PN) are a leading cause of morbidity in Neurofibromatosis Type 1 (NF1), often disfiguring or threatening vital structures. During formation of PN, a complex tumor microenvironment (TME) develops, with recruitment of neoplastic and non-neoplastic cell types being critical for growth and progression.
Read the full summary ↓
Due to the cohesive cellularity of PN, single-cell RNA-sequencing is difficult and may result in a loss of detection of critical cellular subpopulations, therefor single-nuclei RNA-sequencing (snRNA-seq) was applied retrospectively to 8 frozen PN, a large enough sample cohort required to adequately describe the disease TME. Additionally, 4 frozen PN samples were OCT embedded and spatial transcriptomics (ST) was run, adding morphological context to the transcriptomic data generated. Our snRNA-seq analysis definitively charted the heterogeneous cellular subpopulations in the PN TME, with the predominant fraction being fibroblast-like cells. PN have a remarkable amount of inter-sample homogeneity regarding cellular subpopulation proportions despite being resected from a variety of anatomical locations. ST analysis identified distinct cellular subpopulations which were annotated using snRNA-seq data that correlated with histological features. Schwann cell/fibroblast interactions were further characterized by receptor/ligand interaction analysis (CellChat) that was applied to snRNA-seq data. A high probability of Neurexin 1/Neuroligin 1 (NRXN1/NRGLN1) receptor-ligand crosstalk was predicted between non-myelinated Schwann cells (NM_SC) and fibroblast subpopulations, respectively. We observed aberrant expression of NRXN1 and NRGLN1 in our snRNA-seq data versus normal mouse sciatic nerve. This pathway has never been described in PN but has been observed in other NF1-associated tumors and may indicate a clear and direct communication pathway between putative NM_SC cells of origin and surrounding fibroblasts, potentially driving disease progression. SnRNA-seq integrated with spatial transcriptomics advances our understanding of the complex cellular heterogeneity of PN. These data identify potential novel communication pathways that may drive disease progression, a finding that could provide translational therapy options for patients with these devastating tumors of childhood and early adulthood.
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 GSE232766_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA973725 and SRA study SRP438280. Searching any of these in the dataset finder brings you back here.

Samples in this study

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