← BioTransfer GEO Dataset Finder
GEO series

Neuroblastoma heterogeneity and plasticity over disease progression are rooted in the dynamics of an early sympathetic transcriptional trajectory

GSE245175 Homo sapiens (human) Single-cell RNA-seq 79 samples Submitted 2024/09/13 Platform GPL24676Platform GPL18573
At a glance

Single-cell RNA-seq · human · 79 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Topic
NeuroblastomaThis series is part of our curated briefing on it.
Samples
79 samples: 16 conditions, mostly with about 4 replicates eachGroups 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
Neuroblastoma plasticity during metastatic progression stems from the dynamics of an early sympathetic transcriptomic trajectoryNature communications · 2024
Summary (written by the submitters)
This GEO series contains human scRNA-seq data of Neuroblastoma patients, used in two manuscripts. n=7 paired samples, primary tumour vs. bone marrow metastases n=2 non-paired samples, bone marrow metastases Titles: Article 1 PUBLISHED: Neuroblastoma plasticity during metastatic progression stems from the dynamics of an early sympathetic transcriptomic trajectory See Citation and PubMed ID below.
Read the full summary ↓
Article 2 UNDER REVIEW: Single-cell analyses of paired primary neuroblastoma tumor and bone marrow metastases reveals intra-patient heterogeneity and therapy-resistant subpopulations Abstract of article 1: Despite their indisputable importance in neuroblastoma (NB) pathology, knowledge of the bases of NB plasticity and heterogeneity remains incomplete. They may be rooted in developmental trajectories of their lineage of origin, the sympatho-adrenal neural crest. We found that implanting human NB cells in the neural crest of the avian embryo allows recapitulating the metastatic sequence until bone marrow involvement. Using deep single cell RNA sequencing, we characterized transcriptome states of NB cells and their dynamics over time and space, and compared them to those of fetal sympatho-adrenal tissues and patient tumors and bone marrow samples. Here we report remarkable transcriptomic proximities restricted to an early sympathetic neuroblast branch that co-exist with phenotypical adaptations over disease progression and recapitulate intratumor and interpatient heterogeneity. Combining avian and patient datasets, we identified a list of genes upregulated upon bone marrow involvement and associated with growth dependency, validating the relevance of our multimodal approach. Despite being key pathological features, Neuroblastoma (NB) plasticity and Heterogeneity remain largely misunderstood. They may be rooted in complex developmental trajectories of their embryonic lineage of origin, the sympatho-adrenal neural crest. We found that implanting human NB cells in the neural crest of the avian embryo allows recapitulating the metastatic sequence until bone marrow involvement. Using deep single cell RNA sequencing, we characterized transcriptional states of NB cells and their dynamics over time and space, and compared them to those of fetal sympatho-adrenal tissues and patient tumors, including matched primary tumor and bone marrow samples. We found remarkable transcriptomic proximities restricted to an early sympathetic neuroblast branch that co-exist with phenotypical adaptations over disease progression and recapitulate intratumor and interpatient heterogeneity. Combining avian model and patient datasets, we identified a list of candidate genes upon bone marrow involvement associated with NB growth dependency, validating the relevance of our multimodal approach.
Published in
Neuroblastoma plasticity during metastatic progression stems from the dynamics of an early sympathetic transcriptomic trajectory
Villalard B, Boltjes A, Reynaud F et al. · Nature communications 2024 · PMID 39500881 · doi:10.1038/s41467-024-53776-3
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 GSE245175_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1027309 and SRA study SRP538251. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly with about 4 replicates each
Sorted life cells, Bone Marrow, patient3, pla… ×8 Sorted life cells, Bone Marrow, patient6, pla… ×7 Sorted life cells, Bone Marrow, patient8, pla… ×7 Sorted life cells, Bone Marrow, patient5, pla… ×6 Sorted life cells, Primary, patient3, plate KK ×5 Sorted life cells, Primary, patient1, plate KK ×5 Sorted life cells, Bone Marrow, patient7, pla… ×5 Sorted life cells, Bone Marrow, patient1, pla… ×5 +8 more

Supports a between-group comparison across 79 samples.

How we read this: 16 replicated groups read from 79 sample titles; they account for 79 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

+ 39 more — browse all 79 samples with per-sample file links →

More Neuroblastoma datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.