Transcriptomics

Dataset Information

0

Single cell sequencing of mouse syngeneic tumor models


ABSTRACT: Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor interactions. Targeting ligand-receptor interactions, for instance with immune check-point inhibitors, can provide significant benefit for patients. However, our knowledge of which interactions occur in a tumor and how these interactions affect outcome is still limited. We present an approach to characterize communication by ligand-receptor interactions across all cell types in a microenvironment using single-cell RNA sequencing. We apply this approach to identify and compare ligand-receptor interactions present in six syngeneic mouse tumor models. To identify interactions potentially associated with outcome, we regress interactions against phenotypic measurements of tumor growth rate. In addition, we quantify ligand-receptor interactions between T-cell subsets and their relation to immune infiltration using a publicly available human melanoma data-set. Overall, this approach provides a tool for studying cell-cell interactions, their variability across tumors, and their relationship to outcome.

ORGANISM(S): Mus musculus

PROVIDER: GSE121861 | GEO | 2018/10/27

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-12-12 | GSE212996 | GEO
2022-12-12 | GSE212984 | GEO
2023-07-08 | PXD038018 | Pride
2019-02-28 | GSE111329 | GEO
2017-01-25 | GSE87692 | GEO
| MODEL1708210000 | BioModels
2023-12-08 | GSE220729 | GEO
2023-12-07 | GSE220736 | GEO
2023-12-07 | GSE220735 | GEO
2023-12-07 | GSE220734 | GEO