PLX131860

GSE73268: Next Generation Sequencing Facilitates Quantitative Analysis of HCC cells transfected with NCsiRNA or ODC1siRNA

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

We investigated if targeting of ODC1 with siRNA could inhibit HCC progression. To accomplish this, Huh1 and Huh7 human HCC cells were transfected with ODC1 siRNA and tested for growth inhibition and apoptotic induction using MTS, FACS and microscopic analysis. To obtain insights into the molecular changes in response to ODC1 knockdown, global changes in gene expression were examined using RNA sequencing. Our results show that ODC1 silencing caused inhibition of HCC cell growth through blockade of cell cycle progression and a strong induction of apoptosis. Subsequent Western blotting revealed that ODC1 silencing decreased the levels of cell cycle regulator cyclin E1, PARP-1, and pro-caspase 3 accelerating apoptotic signaling in HCC cells. In addition, ODC1 silencing resulted in a strong inhibition in the expressions of important regulators of glycolysis and lipogenesis, GLUT4 and ChREBP, and caused a marked decrease in fat accumulation. These findings suggest that ODC1 can be a promising target for systemic therapy of HCC by modulating tumor metabolism. SOURCE: Daekwan Seo (dkseo91@yuhs.ac) - Bioinformatics Data Analysis Core Yonsei University College of Medicine

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