The abnormal gene which causes chronic myeloid leukaemia has a very strong ability to drive rapid growth of the cancer, research has revealed 🧬 Scientists were able to track the evolution of this gene to study the rate at which the cancer cells expand: bit.ly/42riKOk

Lovely piece from @s-j-aitken.bsky.social and Claudia Arnedo Pec discussing our recent paper in @nature.com on persistent mutagenic DNA lesions... Love the title! Puts it in the context of their beautiful previous work on lesion segregation

Interested in 'Mitochondrial single cell-multi-omics for lineage tracing and genetics'? Apply for our free workshop in Berlin following our #ISCO2025 conference! www.isco-conference.eu www.mdc-berlin.de/news/events/...

Is hypothesis generation a hindrance to Night Science? @itaiyanai.bsky.social and @stearnslab.bsky.social demonstrated how easy we fall into pattern recognition, missing the “Gorilla” in our own data. Today’s seminar was all about identifying new strategies to stay curious about our own data.

🌟NEW PREPRINT ALERT!🌟 We are very pleased to introduce #StrainDifferences: “Genetic background sets the trajectory of cancer evolution” www.biorxiv.org/content/10.1... 🧵[1/12]

Thanks for sharing! And apologies for the cheap kitten meme..

📰 Some forms of DNA damage linger unrepaired in healthy cells for years, according to a @nature.com study led by Dr Mike Spencer Chapman @mikespencerchapman.bsky.social at BCI and @sangerinstitute.bsky.social.  The findings could inform our understanding of #cancer development. 🧪 #medsky

This is a cool paper about the surprisingly long-term persistence of DNA lesions (single stranded DNA errors) in the human body. Exquisitely meticulous work from conception through to execution. Congratulations @mikespencerchapman.bsky.social

Yes! @s-j-aitken.bsky.social your fantastic work on lesion segregation really was the foundation for this.. gave us early confidence that some lesions were able to persist through multiple cell divisions & that our theory was viable

In science, we often see weird blips in the data. The question: is it artefact (usually!), or something new & exciting? We don’t always have time to dig deep. Our paper in @nature.com today came from just such a blip. So don’t ignore the weird stuff. Pull on that thread...

I've made the switch! Looking forward to a more inspiring newsfeed.. 🤞