PLX252835

GSE138825: Tissue-specific transcriptomic changes associated with AmBisome treatment of mice with experimental visceral leishmaniasis

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

RNAseq of mouse liver and spleen samples infected with M. bovis treated with ambisome; Liposomal amphotericin B (AmBisome) is a commonly used treatment for visceral leishmaniasis (VL), but is significantly less effective in the treatment of VL in East Africa, where the burden of disease is now greatest. Despite its widespread use, little is known of the mode of action of AmBisome. Here, we sought to examine the impact of AmBisome on tissue-specific transcriptomic changes following experimental infection with Leishmania donovani, in the two most clinically important tissues for treatment, the spleen and the liver. BALB/c mice infected with M. bovis BCG (an organism resistant to AmBisome treatment) were used to distinguish between direct effects of AmBisome and those that are secondary to parasite death using the RNAseq libraries generated to compare to previously published transcriptomic data of Leishmania donovani infected spleen and liver tissues treated with AmBisome. Our data indicate that the tissue response to AmBisome treatment is varied in different target organs and that full restoration of homeostasis is not achieved at parasitological cure. The pathways required to restore homeostasis deserve fuller attention in order to understand mechanisms associated with treatment failure and relapse and to promote more rapid restoration of immune competence. SOURCE: Paul Kaye University of York

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