Skip Navigation

Baylor College of Medicine: Dataset Details, ID=GSE131671

Superfund Research Program

Data Management and Analysis Core

Project Leader: Susan G. Hilsenbeck
Co-Investigator: Cristian Coarfa
Grant Number: P42ES027725
Funding Period: 2020-2025
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

Project-Specific Links

Connect with the Grant Recipients

Visit the grantee's eNewsletter page Visit the grantee's Twitter page

Title: ∆Np63 executes an oncogenic program through the regulation of a common landscape of super-enhancer associated genes in non-small cell lung cancer

Accession Number: GSE131671

Link to Dataset: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131671

Repository: Gene Expression Omnibus (GEO)

Data Type(s): Gene Expression

Experiment Type(s): Expression profiling by high throughput sequencing

Organism(s): Mus musculus

Summary: Distinct lung stem cells give rise to lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC). ΔNp63 guides development of these cells through regulation of terminal differentiation; however, its mechanistic role in lung cancer development has remained elusive. We utilized a ΔNp63-specific conditional knockout mouse model and found that ∆Np63 maintains lung ADC and SCC by keeping lung stem cells in quiescence. ChIP-seq analysis of lung basal cells and alveolar type 2 (AT2) cells lacking ∆Np63 revealed a robust loss of activating histone marks at super enhancers of cell identity genes defining a unifying oncogenic role for ∆Np63 in non-small cell lung cancer.

Publication(s) associated with this dataset:
Back
to Top