Tag: Genetics

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BCI researcher receives new Pancreatic Cancer UK Fellowship

20th July 2022

Congratulations to Dr Audrey Lumeau, Postdoctoral Researcher at Barts Cancer Institute, Queen Mary University of London, who has received a Career Foundation Fellowship from the charity Pancreatic Cancer UK to investigate chromosomal instability in pancreatic cancer and its role in therapy resistance.

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£3.1 million for PROTECT trial

6th May 2022

Yorkshire Cancer Research has announced a £3.1 million grant for research led by Ranjit Manchanda to investigate the risks, benefits, and feasibility of introducing population-based genetic testing for ‘all’ women to find out if they are at high risk of cancer. Thousands of women living in Yorkshire and other parts of the UK will be offered tests as part of the PROTECT (Population based germline testing for early detection and cancer prevention) clinical trial.

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Turning back the molecular clock: Tracing cell lineage

6th January 2022

Researchers from Barts Cancer Institute at Queen Mary University of London, the Moffitt Cancer Center and the University of Southern California, have developed a new method that measures subtle changes to the genetic code of cells (called DNA methylation) to study the dynamics of what happens to cells within our bodies over time. The new method, published in Nature Biotechnology, provides a way to measure the birth and death of human cells, making it possible to trace cell lineage and evolution.

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BCI researcher receives UKRI Future Leaders Fellowship Award

9th September 2021

Dr Benjamin Werner from Barts Cancer Institute, Queen Mary University of London, is one of the next generation of UK science leaders to receive funding through UK Research and Innovation’s (UKRI) Future Leaders Fellowships scheme. Dr Werner will receive an award of approximately £1.4 million, which will support a research project looking at the evolutionary dynamics of circular extra-chromosomal DNA (ecDNA) in human cancers.

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Dissecting complex biological pathways with machine learning

19th July 2021

We spoke with Group Leader Dr Jun Wang and Postdoctoral Researcher Dr Anthony Anene from Barts Cancer Institute’s Centre for Cancer Genomics & Computational Biology about their most recent publication. Published in Patterns, the paper describes the development of a machine-learning tool called ACSNI that can be used to predict tissue-specific pathway components from large biological datasets.

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BCI researcher part of team shortlisted for Cancer Grand Challenges awards

23rd June 2021

Dr Benjamin Werner from Barts Cancer Institute, Queen Mary University of London, is part of an international team that has been selected to share its ideas on how to solve one of cancer’s toughest challenges.

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