Back to search

Article

Dependencies in heterogeneous, lineage plastic patient–derived prostate cancer organoids revealed through integrated single–cell multiomics and CRISPR screening

2026-05-08

Abstract excerpt

Lineage plasticity and tumor heterogeneity limit the effectiveness of targeted therapies, yet the functional dependencies used to nominate therapeutic targets are often derived from homogeneous systems that fail to capture this complexity. Here, we establish a framework to resolve state–specific genetic vulnerabilities by integrating single–cell multiomics (RNA and ATAC) with pooled CRISPR–Cas9 screening across a...

Topics

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

Identifiers and source

Literature Corpus work
794bee70-6e4a-54cd-aad8-d0f9c29c7a21
DOI
10.64898/2026.05.07.723570
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Dependencies in heterogeneous, lineage plastic patient–derived prostate cancer organoids revealed through integrated single–cell multiomics and CRISPR screeningDOI 10.64898/2026.05.07.723570
A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasisSemantic proximity
Defining the combinatorial nature of gene modules in prostate cancer underlying lineage plasticity and metastasisSemantic proximity
Integrated single-cell transcriptomic analyses identify a novel lineage plasticity-related cancer cell type involved in prostate cancer progressionSemantic proximity
The origin and dynamics of cellular heterogeneity vary across lineage subtypes of castrate resistant prostate cancerSemantic proximity
Deciphering single-cell heterogeneity and cellular ecosystem dynamics during prostate cancer progressionSemantic proximity
Single Cell Analysis of Treatment–Resistant Prostate Cancer: Implications of Cell State Changes for Cell Surface Antigen Targeted TherapiesSemantic proximity
Multilineage plasticity in prostate cancer through expansion of stem–like luminal epithelial cells with elevated inflammatory signalingSemantic proximity
Single-Cell RNA-seq Reveals a Developmental Hierarchy Super-Imposed Over Subclonal Evolution in the Cellular Ecosystem of Prostate Cancer.Semantic proximity
Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell statesSemantic proximity
Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progressionSemantic proximity
Integrated analysis of single-cell and bulk transcriptomes uncovers clinically relevant molecular subtypes in human prostate cancerSemantic proximity
A modular patient-derived organoid–xenograft platform reveals molecular and clinical trajectories of prostate cancer progressionSemantic proximity
Select a neighboring publication to make it the new centre.