Nelson Dusetti, Head of the Translational Research and Innovative Therapies Department at the Cancer Research Centre of Marseille (CRCM), shared a post on LinkedIn:
“We just published a single-cell transcriptomic dataset of 41 patient-derived pancreatic cancer cultures, more than 30,000 cells, publicly available.
This work comes from the pancreatic cancer team at CRCM – Centre de Recherche en Cancérologie de Marseille/Institut Paoli-Calmettes in Marseille, where translational research from patient samples to biological insight to clinical application is at the heart of what we do every day.
For many years, we have used these models as the foundation of our research: drug response profiling, transcriptomic signatures, metabolic studies.
Each time, we learned something new. Single-cell transcriptomics allowed us to go one step further. And what we found reminded us that in science, you never fully finish getting to know your models. The more closely you look, the more complexity you uncover.
What struck us most was the extent of transcriptional heterogeneity within cultures we had worked with for years and how much that changes the questions we now need to ask.
This ‘Behind the Paper‘ is my personal account of the reasoning, trade-offs and open questions behind this dataset.”
Title: Single-cell transcriptomic profiling of patient-derived pancreatic ductal adenocarcinoma primary cell cultures
Authors: Vladimir Chocoloff, Alex Chauvin, Brice Chanez, Loïc Moubri, Julie Roques, Philippe Soubeyran, Juan Iovanna, Nelson Dusetti, Nicolas Fraunhoffer
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