Other

Dataset Information

0

Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia [Exome-seq]


ABSTRACT: Aim: assess the contribution of de-novo clonal mutations to the observed adaptive behaviours to nutrient starvation in PDX derived melanoma and lung cancer cells. Methods: Identical replicates from both cancer models were plated in 96 wells plates and grown in starvation (RPMI media lacking L-glutamine). After prolonged exposure to starvation, extensive phenotypic variability was observed. We selected populations that managed to adapt (t20 samples, strong but also moderate phenotypes) and performed exome-seq. Comparison of their mutational landscape with the initial parental populations (t=0) will uncover possible candidates that drive the adaptation of these populations. Results: Absence of any selected clonal mutation within individual resistant populations or recurrent subclonal mutations across replicates Conclusions: The stochastic adaptive behaviours observed upon starvation in PDX MeA5a and L1C5c derived lines does not seem to be confered through selection of clonal genetic events.

ORGANISM(S): Homo sapiens

PROVIDER: GSE178642 | GEO | 2022/11/03

REPOSITORIES: GEO

Similar Datasets

2023-04-03 | GSE195688 | GEO
2022-03-01 | GSE194171 | GEO
2013-12-22 | E-GEOD-46604 | biostudies-arrayexpress
2022-11-03 | GSE212693 | GEO
2020-01-09 | MSV000084785 | MassIVE
2015-06-17 | E-GEOD-58586 | biostudies-arrayexpress
2023-12-31 | GSE220643 | GEO
2016-08-22 | E-GEOD-85521 | biostudies-arrayexpress
2022-11-03 | GSE212744 | GEO
2020-03-23 | GSE134242 | GEO