Caleb Webber

Prof Caleb Webber

Director of Data Science & Group Leader

Combining state-of-the-art stem cell models with bioinformatics techniques to boost our understanding of the biological mechanisms underlying Parkinson’s disease

Condition

Parkinson's disease

Biography

Prof Caleb Webber is combining state-of-the-art stem cell models with bioinformatics techniques to boost our understanding of the biological mechanisms underlying Parkinson’s disease. He is also aiming to identify new risk genes and investigate how these impact on the function of neurons. The team are also using advanced computational methods to investigate how genetic risk factors can influence a varying symptoms presented by patients. They hope to pinpoint key biological pathways that could be targeted with new drugs to prevent or treat Parkinson’s disease– and potentially other diseases with overlapping molecular causes.

In 2022, Prof Webber took on the additional role of UK DRI Director of Data Science. In this role, he is responsible for developing and implementing an Institute-wide strategy to harness the power of data resources and tools in our mission to find new treatments and technologies for dementia.

News

Key publications

Stem Cell Reports
Published
Reproducibility of Molecular Phenotypes after Long-Term Differentiation to Human iPSC-Derived Neurons: A Multi-Site Omics Study.
Authors
Viola Volpato, James Smith, Cynthia Sandor, Janina S Ried, Anna Baud, Adam Handel, Sarah E Newey, Frank Wessely, Moustafa Attar, Emma Whiteley, Satyan Chintawar, An Verheyen, Thomas Barta, Majlinda Lako, Lyle Armstrong, Caroline Muschet, Anna Artati, Carlo Cusulin, Klaus Christensen, Christoph Patsch, Eshita Sharma, Jerome Nicod, Philip Brownjohn, Victoria Stubbs, Wendy E Heywood, Paul Gissen, Roberta De Filippis, Katharina Janssen, Peter Reinhardt, Jerzy Adamski, Ines Royaux, Pieter J Peeters, Georg C Terstappen, Martin Graf, Frederick J Livesey, Colin J Akerman, Kevin Mills, Rory Bowden, George Nicholson, Caleb Webber, M Zameel Cader, Viktor Lakics
Reproducibility of Molecular Phenotypes after Long-Term Differentiation to Human iPSC-Derived Neurons: A Multi-Site Omics Study.
Hum Mol Genet
Published
Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson's disease.
Authors
Cynthia Sandor, Paul Robertson, Charmaine Lang, Andreas Heger, Heather Booth, Jane Vowles, Lorna Witty, Rory Bowden, Michele Hu, Sally A Cowley, Richard Wade-Martins, Caleb Webber
Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson's disease.

Webber Lab

Explore the work of the Webber Lab, combining state-of-the-art stem cell models with bioinformatics techniques to boost our understanding of the biological mechanisms underlying Parkinson’s disease

Webber Lab
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