ScRNAseq dataset from neuroblastomas tumoroids

ABSTRACT: Neuroblastoma (NB), a pediatric cancer arising from disrupted sympathetic neuron differentiation, exhibits marked heterogeneity and limited therapeutic options. To better understand its molecular circuitry dynamics, we applied CARDAMOM, a novel Gene Regulatory Network (GRN) inference framework to single-cell RNA-seq data from patient-derived tumoroids. This approach models gene regulation via piecewise deterministic Markov processes, capturing transcriptional bursting and protein-mediated feedback, overcoming limitations of RNA velocity (e.g., gene independence and lack of biological time). We identified a continuous chromaffin-to-sympathoblast differentiation trajectory, validated by RNA velocity and scFates. Using velocity pseudotime, we selected 85 dynamically relevant genes enriched i

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: Olivier Gandrillon 

PROVIDER: E-MTAB-16741 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress