Lucy Yates

Interested in spatial biology and cancer evolution? New spatial genomics technologies start unraveling how somatic evolution, tissue microanatomy and tumour microenvironments interact. New review with @Yates_lab @LomakinAI and @zaira_sef nature.com/articles/s4157…

@LomakinAI @MatsNilssonLab @MoritzGerstung Honoured to work on this project with such a talented, dedicated and inspirational group of individuals. Check out the figures and cancerclonemaps.org to see where clones actually live!

From sequencing and evolutionary theory we know that tumours grow as mosaics of clones - but so far we haven’t been able to see them. The labs of @Yates_lab, @MatsNilssonLab and @MoritzGerstung created a new method to map the spatial evolution of cancers: nature.com/articles/s4158…

Delighted to have our deep dive into understanding the #tumourmicroenvironment of high-risk chemotherapy resistant breast cancers published in @CCR_AACR today!! @KCLcancer_pharm @ICR_London @CRUKresearch doi.org/10.1158/1078-0… kcl.ac.uk/news/immune-ta…

@PapaemmanuilLab Great work Elli, Gunes and team. Fantastic to see what can be achieved in a clinically meaningful timeframe!

Feasibility of clinical whole genome and transcriptome sequencing (WGTS) in oncology. A 🧵 on our latest study published in Nature Communications today:rdcu.be/cNOyQ

@ATJCagan Congratulations Alex and team - a fantastic piece of work!

I am incredibly excited to share our preprint ‘Somatic mutation rates scale with lifespan across mammals’In this paper we provide an unprecedented description of somatic mutation across mammals. biorxiv.org/content/10.110… An illustrated tweetorial…[1/17]

@MoritzGerstung @sangerinstitute @emblebi @DKFZ @UniHeidelberg I will certainly miss the coffee shop based science chats! Good luck to you and the family in this exciting new chapter.

After just over 9 years on the Genome Campus in Hinxton — 3 @sangerinstitute and 6 @emblebi time has come today to move on — new adventures @DKFZ and @UniHeidelberg lie ahead. It’s been fascinating, inspiring and humbling. Thanks to all who shared this part of the journey.

What have we learned from analysing 200,000 SARS-CoV-2 genomes from genomic surveillance in England in the last 9 months? These data provide important context for the current situation related to B.1.617.2. Here’s a summary of the preprint. medrxiv.org/content/10.110…

1/ How do our bodies – with their incredible complexity - come from a single fertilised egg? How is it co-ordinated? What tissues come from what? Why (and how) might it go wrong? These are the questions we asked in our study out in @nature this week. doi.org/10.1038/s41586…

So proud of this new study. We developed naive and memory B and T single-cell expansion protocols and produced lymphocyte and blood stem cell genomes, from healthy individuals aged 0-81. I am still stunned at the biological insights revealed. [1/10] biorxiv.org/content/10.110…

Excited to share our latest work. We present NanoSeq, a new duplex sequencing method with <5 errors per billion sites in single DNA molecules. A leap in our ability to study mutation in any tissue. 1/ nature.com/articles/s4158…

Alright, since folks are commenting on the Guardian article calling Bayes Theorem "obscure", here's a story about doctors, Bayes Theorem, log scales, and learning and listening from people even when they don't know the thing you know.

These snippets highlight the huge potential of spatial genomics and transcriptomics with BaSISS to study cancer evolution. This will enable us to measure, understand - and hopefully one day prevent - the key steps of malignant progression. 8/9

It's the result of a great research collaboration combining new technology, clinical oncology and data science. Huge thanks to Carina, Milana, @artem_shmatko, Jun, @GenomeDoctor, @stefan_seq, @vitaliikl, Vasyl, Tong, @bayraktar_lab, @luiza_moore, Sarah, Andrea and Peter. 9/9

Proud to present the final chapter of the PCAWG Evolution and Heterogeneity Working Group after 7 years: detailed pan-cancer characterisation of intra-tumour heterogeneity! #PCAWG cell.com/cell/fulltext/…

People will take enormous risks to enter Britain econ.st/2Jl8Rdf

Fantastic paper from the Gerstung lab applies histology based deep learning approach and not only identifies cancer type but also the underlying molecular aberrations.

Our study on normal and cirrhotic liver is also out in @nature. Fantastic work by @sfbrunner led by @Matt_Hoare20 and Peter Campbell @sangerinstitute Normal liver parenchyma is composed of small clones, but this changes with damage and regeneration in cirrhosis

THIs. IS. HUGE!!! A15% improvement in pathological complete response with curative intent pembrolizumab plus chemo in Keynote 522 for #TNBC reported at #ESMO2019

When the #brain is hijacked by #cancer. It isn't at all pretty as the @nature cover this week 3 reports, summarized well by a @NatureNV by Andres Barria nature.com/articles/d4158… and @heidiledford's @NatureNews nature.com/articles/d4158…