PLX228083

GSE154978: Emergence of a high-plasticity cell state during lung cancer evolution, single-cell RNAseq tigit

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Tumor evolution from a single cell into a malignant, heterogeneous tissue remains poorly understood. Here, we profiled single-cell transcriptomes of genetically engineered mouse lung tumors at seven stages, from atypical adenomatous hyperplasia to adenocarcinoma. The diversity of transcriptional states increased over time and was reproducible across tumors and mice. Cancer cells progressively adopted alternate lineage identities, computationally predicted to be mediated through a common transitional, high-plasticity cell state (HPCS). Accordingly, HPCS cells prospectively isolated from mouse tumors and human patient-derived xenografts displayed high capacity for differentiation and proliferation. The HPCS program was associated with poor survival across human cancers and demonstrated chemoresistance in mice. Our study reveals a central principle underpinning intra-tumoral heterogeneity and motivates therapeutic targeting of the HPCS. SOURCE: Matan Hofree (mhofree@broadinstitute.org) - Regev Lab Broad Institute

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team