PLX249478

GSE78195: Next Generation Sequencing Facilitates Quantitative Analysis of colorectal cancer cells transfected with NC siRNA or RPL9 siRNA

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

Ribosomal protein L9 (RPL9), a component of the 60S subunit, is up-regulated in human colorectal cancer (CRC). We thus hypothesized if targeting of RPL9 with small interfering (si) RNA could inhibit CRC progression. We also investigated molecular mechanism to mediate CRC cell death caused by RPL9 silencing. HCT116 and HT29 human CRC cells were transfected with RPL9 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 RPL9 knockdown, global changes in gene expression were examined using RNA sequencing. As a result, RPL9 silencing caused inhibition of CRC cell growth through induction of apoptotic cell death. RNA sequencing revealed that RPL9-specific knockdown led to dysregulation of 918 genes in HCT116 and 3178 genes in HT29 cells. Among those, 296 genes showed the same directional regulation (128 up- and 168 down-regulated genes), including up-regulation of tumor suppressors such as KLF6 and ATF3, and were considered as a common RPL9 knockdown signature. Western blotting proved that down-regulation of RPL9 was accompanied with the decrease in the levels of PARP-1 and pro-caspase 3, accelerating apoptotic signaling. Of importance, targeting RPL9 significantly inhibited CRC growth in a murine xenograft model. In conclusion, these results suggest that inhibition of RPL9 expression could be an attractive option for molecular targeted therapy of colorectal cancer. 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