Plate IV.159 · Publications

Single cell transcriptomic analysis of epithelial and mesenchymal tumour cells

Dataset in Zenodo, 2024.

DatasetResearch area: miRNA, Target, Cancer

Authors

  1. Aristeidis Papargyriou
  2. Till Richter
  3. Malte Luecken
  4. Fabian J. Theis
  5. Maximilian Reichert

Abstract

Pancreatic ductal adenocarcinoma (PDAC) exhibits pronounced heterogeneity with multiple subtypes along the epithelial-to-mesenchymal axis co-existing simultaneously in tumours. Here, we used previously characterized epithelial and mesenchymal primary PDAC cell lines from a KC mouse model (2D bulk cell populations) (Mueller et al. 2018) and perform single-cell RNA sequencing to determine how heterogeneous these bulk tumour cells are and if they express different levels of epithelial-mesenchymal transition/plasticity signatures. In our study, we identified that the same bulk population of tumour cells can give rise to various morphological and transcriptionally distinct organoid phenotypes. Therefore, we examined if specific preexisting subclusters within each line (subtype specific) were already enriched for distinct phenotype signatures from our organoid phenotype landscape.

Cite

@misc{papargyriou2024single,
  title = {{Single cell transcriptomic analysis of epithelial and mesenchymal tumour cells}},
  author = {Papargyriou, Aristeidis and Richter, Till and Luecken, Malte and Theis, Fabian J. and Reichert, Maximilian},
  howpublished = {Zenodo},
  publisher = {Zenodo},
  year = {2024},
  doi = {10.5281/zenodo.10666381},
  url = {https://doi.org/10.5281/zenodo.10666381}
}
.bib file