PLX050914

GSE140652: Transcriptome analysis of xenograft tumors treated with vehicle control or CBL0137

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

RNAseq was used to identify host and viral transcriptome changes in xenograft tumors treated with DMSO or CBL0137. Mouse xenograft experiments were regulated by Institutional Animal Care & Use Committee (IACUC# 2017-0035) of Weill Cornell Medical Center(WCMC). Non-obese diabetic/severe combined immunodeficiency (NOD-SCID) mice were obtained from Jackson Laboratories. Six to eight-week-old male and female mice (10 male/18 female) were injected in the flank with 1 x 107 BL cells in PBS with Matrigel eleven days before the treatment. Once the mice developed tumors with the size greater than 300 mm^3, they were grouped randomly and injected with vehicle (5% dextrose), 10mg/kg, or 60mg/kg of CBL0137. One week later, mice were injected with second dose of vehicle or CBL0137. Mice were humanely sacrificed at set experimental timepoints or when tumors reached the institutional cutoff. Tumors were harvested and snap frozen in liquid nitrogen for RNA, DNA, and sectioning for immunohistochemistry. RNAseq experiments were performed with tumor samples from 3 control and 3 60mg/kg CBL0137 treated mice. SOURCE: Rui Guo (rguo2@bwh.harvard.edu) - Gewurz lab Brigham&Women's Hospital, Harvard Medical School

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