Georgette Tanner
@GeorgetTanner
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Bioinformatician at Oxford Nanopore Technologies
Joined February 2019
We are thrilled to have published our recent findings regarding the way that GBM tumours adapt to, and survive, treatment in @GenomeBiology. This brief thread highlights what we found: 1/8
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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! @BrainTumourOrg @UKRI_News @SENTINEL_ITN
Single cell RNA-seq has changed our understanding of cellular heterogeneity but it only provides a snapshot at a fixed time point of the cell transcriptome... not any more !
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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. @paoloactis @LucyFStead
https://t.co/OxxiCUcWP5
biorxiv.org
Single-cell RNA sequencing has revolutionised our understanding of cellular heterogeneity, but whether using isolated cells or more recent spatial transcriptomics approaches, these methods require...
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🧬 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!
Single cell RNA-seq has changed our understanding of cellular heterogeneity but it only provides a snapshot at a fixed time point of the cell transcriptome... not any more !
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🔬 Exciting collaboration with @chalmerscccc, @paoloactis, @LucyFStead, @GeorgetTanner @EI_single_cell! ⏰ After years of work, we pioneered an SICM-based nanobiopsy platform 🧪✨ Sampling cytoplasm at multiple time points 🕓🔬 Revealing cellular plasticity in glioblastoma! 🧠💥
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Superb effort lead by @LucyFStead @Fabio_Marcuccio @chalmerscccc @GeorgetTanner @EI_single_cell and many more enabled by @BrainTumourOrg @UKRI_News @MSCActions
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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: https://t.co/VHp0numYEV Funded by @UKRI_News @BRUKresearch @DiMeN_Diversity @LDShospcharity @OscarsCharity @YorkshireBTC
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Thanks Lucy!
Huge congratulations to @GeorgetTanner who aced her PhD viva today! The Glioma Genomics group could not have been blessed with a better first PhD student. We look forward to seeing you soon to celebrate Dr Tanner.
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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
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My group's so chuffed to be part of #GLASS, a global effort to longitudinally profile gliomas. 1st paper, lead by @roelverhaak, just published https://t.co/HfsJMBnEsH. Our bit, data analysis by @GeorgetTanner, was funded by @Leeds_Cares @LeedsMedHealth @LeedsHospitals. I ❤ data.
nature.com
Nature - The GLASS Consortium studies the evolutionary trajectories of 222 patients with a diffuse glioma to aid in our understanding of tumour progression and treatment failure
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Our 1st preprint is online! "JARID2 facilitates transcriptional reprogramming in GBM in response to standard treatment" https://t.co/KZpxqWaKG4 Pls read & RT. Thx @Leeds_Cares @BTRSacrossYorks @yorkshirecancer @LeedsMedHealth & Ellie's Fund 4 funding! @leedsomics @LIDA_UK
biorxiv.org
Background Glioblastoma (GBM) is a fatal and incurable brain cancer with a dismal prognosis. In order to impact on this disease, we need to understand how infiltrating, non resectable tumour cells...
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Just got back from a great few weeks in the US visiting @roelverhaak'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 @EACRnews and @TheBACR for funding the trip.
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Strange to see a picture I drew with my 4-year old's colouring pens end up in a @Cancer_Cell preview https://t.co/gP8gzy82OQ! Thanks @roelverhaak for letting me help summarise work showing how longitudinal GBMs can inform on disease progression: https://t.co/T8fdbKVN6O
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Scientists rise up against statistical significance
nature.com
Nature - Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories call for an end to hyped claims and the dismissal of possibly crucial effects.
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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! https://t.co/71le9a6Lek
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Roses are red Violins are blue Share your data For its the right thing to do #ScienceValentines #AcademicValentine
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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
AbstractSummary. Tumour evolution results in progressive cancer phenotypes such as metastatic spread and treatment resistance. To better treat cancers, we
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