Article

Single-cell RNA-seq reveals multimodal regulatory networks and clinical predictive models in specific medulloblastoma cells

2025-09-02

Abstract excerpt

<title>Abstract</title> <p>Background Medulloblastoma is a common primary tumor of the central nervous system. The impact of cellular heterogeneity on its treatment remains elusive. Methods Single-cell variational inference (scVI) model was used for batch effects correction. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were performed for evaluation of pathway activity. Cellchat algor...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 092163a5-2fea-531f-96d5-a373a5a1002e
DOI: 10.21203/rs.3.rs-7201592/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single-cell RNA-seq reveals multimodal regulatory networks and clinical predictive models in specific medulloblastoma cellsDOI 10.21203/rs.3.rs-7201592/v1Read

Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancersSemantic proximity Read

Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers.Semantic proximity Read

Integrated transcriptomic landscape of medulloblastoma and ependymoma reveals novel tumor subtype-specific biologySemantic proximity Read

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.Semantic proximity Read

SCENIC: Single-cell regulatory network inference and clusteringSemantic proximity Read

Resolving medulloblastoma cellular architecture by single-cell genomicsSemantic proximity Read

scMuffin: an R package for disentangling solid tumor heterogeneity from single-cell expression dataSemantic proximity Read

Medulloblastoma oncogene aberrations are not involved in tumor initiation, but essential for disease progression and therapy resistanceSemantic proximity Read

Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastomaSemantic proximity Read

CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq dataSemantic proximity Read

Single-cell RNA sequencing explored potential therapeutic targets by revealing the tumor microenvironment of neuroblastoma and its expression in cell deathSemantic proximity Read

An integrative single-cell and bulk transcriptomic framework prioritizes a glioblastoma stemness program associated with immune suppression and adverse outcomeSemantic proximity Read