Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma

13 Feb 2024

Abstract excerpt

The aggressive nature of glioblastoma (GBM) - one of the deadliest forms of brain tumors - is majorly attributed to underlying phenotypic heterogeneity. Early attempts to classify this heterogeneity at a transcriptomic level in TCGA GBM cohort proposed the existence of four distinct molecular subtypes: Proneural, Neural, Classical, and Mesenchymal. Further, a single-cell RNA sequencing (scRNA-seq) analysis of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer-related molecular mechanisms research
Share to Glioma Diagnosis and Treatment
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38433919
DOI: 10.1016/j.isci.2024.109184

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastomaPMID 38433919Read ↗

A single-cell atlas of human glioblastoma reveals a single axis of phenotype in tumor-propagating cellsSemantic proximity Read ↗

Spatially Integrated Multi-Omics reveals the Multicellular Landscape of Progenitor-Driven Glioblastoma ProgressionSemantic proximity Read ↗

Comprehensive understanding of glioblastoma molecular phenotypes: classification, characteristics, and transition.Semantic proximity Read ↗

Divergent transcriptomic signatures from putative mesenchymal stimuli in glioblastoma cellsSemantic proximity Read ↗

Mesenchymal and Proneural Subtypes of Glioblastoma Disclose Branching Based on GSC Associated SignatureSemantic proximity Read ↗

Proneural-Mesenchymal Transition: Phenotypic Plasticity to Acquire Multitherapy Resistance in GlioblastomaSemantic proximity Read ↗

Decoding key cell sub-populations and molecular alterations in glioblastoma at recurrence by single-cell analysisSemantic proximity Read ↗

Transcriptome analyses reveal molecular mechanisms underlying phenotypic differences among transcriptional subtypes of glioblastoma.Semantic proximity Read ↗

Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk modelSemantic proximity Read ↗

The landscape of the mesenchymal signature in brain tumoursSemantic proximity Read ↗

Glioblastoma Heterogeneity and Cancer Cell PlasticitySemantic proximity Read ↗

The Role of Mesenchymal Reprogramming in Malignant Clonal Evolution and Intra-Tumoral Heterogeneity in GlioblastomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.