PLX095605

GSE135908: BAP18 is involved in upregulation of CCND1/2 transcription to promote cell growth in oral squamous cell carcinoma

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

Oral squamous cell carcinoma (OSCC) is a common malignant tumor worldwide and lack of biomarker for early diagnosis and therapy targets. Cyclin D proteins participating in controlling the cell cycle play crucial roles in cancer cell proliferation. However, the upstream regulatory protein for cyclin D proteins remains to be elusive. In this study, we have demonstrated that BPTF associated protein 18 kDa (BAP18) acting as a reader of histone H3K4me3 is highly expressed in OSCC tissues compared with that in benign. RNA-seq data showed that BAP18 depletion obviously influenced the expression of a series of genes, involved in multiple biological processes. We thus provided the evidence to demonstrate that knockdown of BAP18 extremely decreases CCND1 and CCND2 (CCND1/2) gene transcription. ChIP assay data demonstrated that BAP18 recruited to the promoter regions of CCND1/2, and facilitated the recruitment of the core subunits of MLL1/WDR5 complex to the same promoter regions, consequently increasing histone H3K4me3 levels. Furthermore, BAP18 depletion delayed G1-S phase transition and inhibited cell growth in OSCC. Our data suggested that BAP18 involved in modulation of CCND1/2 transcription promotes OSCC progression and could be a potential therapeutic target for OSCC treatment. SOURCE: Ge Sun (sung@cmu.edu.cn) - China Medical University

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