PLX277720

GSE137762: Cellular and molecular changes of brain metastases-associated myeloid cells during disease progression and therapeutic response

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

Brain metastasis (BrM) represents a challenging clinical issue. The most common treatment options are surgery and irradiation. Little is known about the complex cellular and molecular microenvironment of BrM, thus lacking molecular targets to combat this dismal disease. It is known that macrophages from the periphery (monocyte-derived macrophages, MDM) and microglia, the brain-resident macrophages, comprise the most abundant stromal cell types in BrM. However, it is not known if both cell types represent a homogeneous cell population with redundant functions or if there are differences due to their ontologic origin. Besides breast cancer and melanoma, the highest incidence of BrM can be found in lung cancer. To gain deeper insight into the myeloid immune landscape, we here provide a resource for the transcriptional landscape of distinct myeloid immune cells associated with lung-to-brain metastasis. Microglia, MDMs, inflammatory monocytes, and granulocytes were FACS-purified from lung-to-brain metastasis at distinct stages following tumor onset and during BrM progression. To evaluate molecular changes due to application of standard therapy, these 4 cell types were also purified at distinct time points upon whole brain radiotherapy of tumor-bearing mice. Additionally, microglia of irradiated mice without BrM were analyzed. Together, our RNA Seq data provide a framework for the identification of molecular targets of the myeloid immune cell landscape in lung cancer BrMs. SOURCE: Lisa Sevenich (sevenich@gsh.uni-frankfurt.de) - Georg-Speyer-Haus

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