Parse Biosciences
Back to top
Datasets

Transcriptomic Analysis of a Chemotherapy Resistant Cancer Cell State

WT v2
Explore Summary Report

Cancer lethality arises from the emergence of therapeutic resistance in the face of an increasing array of drugs and novel regimens targeting everything from proliferation, DNA integrity, metabolism, cell contacts, and more. Our group studies an underappreciated endocycling cancer cell state that contributes to therapeutic resistance in numerous cancer settings. Cells in this state uncouple DNA replication from cell division to obtain abnormally high genomic count and cell size (>70x volume). We used the Evercode WT v2 assay to profile untreated cancer cells alongside those in the cancer cell state. Our first dataset successfully captured the dramatically increased RNA content and provided insight into multiple cell state trajectories after chemotherapy induction.

Phase contrast images of samples showing increasing cell size.
Phase contrast images of samples showing increasing cell size.
Reads and median genes detected per cell across four sample timepoints.
Reads and median genes detected per cell across four sample timepoints. Error bars are standard deviation across three biological replicate samples. Because all cells are represented in each sublibrary, reads/genes/UMI per cell are indicative of RNA amount per cell.

Sample Table

Talk to a Single Cell Specialist

Talk to our team to request a quote or plan your next experiment.

Get Info
ID Sample Recovery Time post-chemo (days) Processed
A Untreated Cell - Cells
B Treated Cell 1 Cells
C Treated Cell 5 Cells
D Treated Cell 10 Cells