PLX102589

GSE118964: Progression of progenitor B cell leukemia is associated with alterations of the bone marrow micro-environment

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

Many of the clinical manifestations of B-lymphoid leukemia is a consequence of disrupted formation of normal blood cells. Upon diagnosis. the disease has often progressed into a state with a dramatic dominance of leukemic cells in the BM making it difficult to understand the environmental changes underlying the disruption in blood cell formation. To investigate this process in more detail we have explored pre-clinical stages of leukemia in a mouse model based on transplantation of B-ALL cells from mice trans-heterozygote for mutations in the Ebf1 and Pax5 genes to non-conditioned hosts. This revealed that while the recipient HSC compartment was relatively intact, the presence of erythroid progenitors and in more advanced disease, lymphoid progenitors was reduced. Progression of disease was also reflected in changes of the cellular composition of non hematopoietic compartments as well as changes in gene expression patterns in specific cellular subpopulations. This included increased expression of the cytokine Il7 in the mature stroma cell compartments. The relevance for Il7 in tumor progression was evident from the finding that leukemia development was delayed when tumor cells were transplanted to Il7 deficient mice. Our data suggest that progressive development of B-ALL primarily target the production of normal progenitor cells and that the micro-environment undergo changes that can be predicted to result in a more permissive environment for tumor growth. SOURCE: Mikael Sigvardsson (mikael.sigvardsson@liu.se) - Linköping University

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