Long Pan

@longpan.bsky.social

Postdoc @Trevor’s lab @icr.ac.uk, PhD@ http://zucmanlab.com | Computational biologist/General surgeon | interested in cancer evolution and cell plasticity in Gastrointestinal cancer, keep curiosity!

In a new paper, we introduce Metient, a new method to reconstruct the migration history of metastatic clones, and learn cancer-type specific patterns of metastatic spread, from bulk or single-cell sequencing data. www.nature.com/articles/s41...

Inferring cancer type-specific patterns of metastatic spread using Metient - Nature Methods

Metient is a statistical framework that infers patterns of metastatic spread and reconstructs cancer migration histories.

nature.com

Calling cancer data scientists! 📊 💽 🧮 We have a number of open positions in our core facility @icr.ac.uk These are bioinformatician staff scientist like roles to work on exciting single cell, spatial & other genomics data from across our Institute. A PhD is required. jobs.icr.ac.uk/vacancies/13...

Data Scientist in Sutton | The Institute of Cancer Research

View details and apply for this Data Scientist vacancy in Sutton. Salary : Salary range £39,805 to £53,500 (Dependent on experience ) Reporting to: Professor Trevor Gra...

jobs.icr.ac.uk

Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in @nature, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7) rdcu.be/eFrrc

Fluctuating DNA methylation tracks cancer evolution at clinical scale

Nature - Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

rdcu.be

Studying cancer evolution needs multi-region or single cell seq for phylogenetics, right? Amazingly (I think!) we found single-sample bulk methylation suffices, via analysis of "fluctuating methylation". In @nature.com today led by brilliant @calumgabbutt.bsky.social www.nature.com/articles/s41...

Fluctuating DNA methylation tracks cancer evolution at clinical scale - Nature

Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

nature.com