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Evolving realistic tumours, and sequencing their DNA, inside computers to help us understand exactly how we should be analysing data from the real thing! Check out our latest publication academic.oup.com/bioinformatics…

Roses are red Violins are blue Share your data For its the right thing to do #ScienceValentines #AcademicValentine

Our first ever paper on BioRxiv, shows how therapeutic targeting of skin macrophages at the mosquito bite, using a simple cream, can prevent infection with multiple distinct arboviruses (Alpha,Flavi, Bunyas). Welcome all thoughts and queries! biorxiv.org/cgi/content/sh…

Scientists rise up against statistical significance nature.com/articles/d4158…

Strange to see a picture I drew with my 4-year old's colouring pens end up in a Cancer Cell preview bit.ly/2DejuLH! Thanks Roel Verhaak for letting me help summarise work showing how longitudinal GBMs can inform on disease progression: bit.ly/2Zf82c3

Just got back from a great few weeks in the US visiting Roel Verhaak's group at the Jackson Laboratory and attending the CSHL Biology of Genomes conference. Thank you to Roel and his group for making me feel welcome and also the EACR and @TheBACR for funding the trip.

Our 1st preprint is online! "JARID2 facilitates transcriptional reprogramming in GBM in response to standard treatment" biorxiv.org/content/10.110… Pls read & RT. Thx @Leeds_Cares @BTRSacrossYorks Yorkshire Cancer Research @LeedsMedHealth & Ellie's Fund 4 funding! Leeds'Omics Leeds Institute for Data Analytics

My group's so chuffed to be part of #GLASS, a global effort to longitudinally profile gliomas. 1st paper, lead by Roel Verhaak, just published nature.com/articles/s4158…. Our bit, data analysis by Georgette Tanner, was funded by @Leeds_Cares @LeedsMedHealth Leeds Teaching Hospitals. I ❤ data.

We are a LIMRLeeds group dedicated to understanding why the most common and most deadly form of brain cancer, glioblastoma, resists treatment. We are computational, we are experimental and we are now on twitter! @LeedsMedHealth

Thanks Lucy!

We think we've found something v.interesting 🧐:IDHwt GBMs can be stratified by treatment response which might inform targeted therapies. Read our study here: tinyurl.com/3ybvwutd Funded by UK Research and Innovation Brain Research UK MRC DiMeN Diversity Leeds Hospitals Charity OSCAR's PBTC Yorkshire's Brain Tumour Charity

Superb effort lead by Lucy Stead Fabio Marcuccio @chalmerscccc Georgette Tanner EI Single Cell now @whatchamacaulay.bsky.social and many more enabled by The Brain Tumour Charity UK Research and Innovation Marie Skłodowska-Curie Actions

We took cytoplasm from a GBM cell to get its transcriptional profile WITHOUT KILLING THE CELL so we could do the same again, for the same cell, at a later time point. 🤯This blows my mind & is so needed to research glioma cell plasticity! The Brain Tumour Charity UK Research and Innovation SENTINEL

Imagine tracking the same cell's transcriptomic state 3 days later after some chemo and radiotherapy to understand what therapies do to the cell state. Read below for how we use nanotechnology to do this. Paolo Actis Lucy Stead biorxiv.org/content/10.110…

🧬 Gene expression = dynamic! 💥 scRNA-seq = static. 🚀 We developed nanobiopsy to sample glioblastoma cells before/after therapy and track cellular states! 📈 Check out our preprint to see how we added temporal dimension to single-cell transcriptomics!

🔬 Exciting collaboration with @chalmerscccc, Paolo Actis, Lucy Stead, Georgette Tanner EI Single Cell now @whatchamacaulay.bsky.social! ⏰ After years of work, we pioneered an SICM-based nanobiopsy platform 🧪✨ Sampling cytoplasm at multiple time points 🕓🔬 Revealing cellular plasticity in glioblastoma! 🧠💥

We are thrilled to have published our recent findings regarding the way that GBM tumours adapt to, and survive, treatment in Genome Biology. This brief thread highlights what we found: 1/8