Leveraging long-read sequencing to resolve regulatory and transcriptional complexity
For our next talk, in the BDI/CHG (gen)omics Seminar series, we will be hearing from Adam Cribbs, Associate Professor in Computational Biology at the University of Oxford and Section Head for Computational Biology at the Botnar Research Centre, NDORMS. We’re delighted to host Adam in what promises to be a great talk!
Talk title: Leveraging long-read sequencing to resolve regulatory and transcriptional complexity
Date: Tuesday 13 May
Time: 9:30 – 10:30 am
Location: BDI/OxPop Seminar room 0
Abstract: Short read single cell RNA sequencing has revolutionised our understanding of cellular diversity, yet it remains inherently limited by its inability to capture full length transcripts, thereby obscuring the complexities of transcriptional regulation and isoform diversity. Biological systems are regulated not solely at the level of gene expression, but through intricate layers of alternative splicing, promoter usage and transcript isoform switching, features that remain largely unresolved by conventional short read approaches. To address these limitations, we have developed cCOLORseq, a robust long read single cell sequencing protocol optimised for enhanced accuracy and transcript resolution. This method enables direct quantification of full length transcript isoforms, facilitating a more mechanistic understanding of gene regulation. We have applied cCOLORseq across diverse biological contexts, including tumour heterogeneity in Multiple Myeloma and tissue specific regulatory complexity in musculoskeletal systems, as part of the Human Cell Atlas initiative. This talk will highlight how long read single cell approaches can redefine the way we interrogate regulatory landscapes, moving beyond expression to uncover how genes are regulated at the isoform level in health and disease.
Bio
Adam Cribbs is an Associate Professor in Computational Biology at the University of Oxford and Section Head for Computational Biology at the Botnar Research Centre, NDORMS. He leads a multidisciplinary research group focused on systems biology, immunology, and the application of advanced machine learning approaches—including graph neural networks and causal inference—to decode disease mechanisms and identify novel therapeutic targets. Prof Cribbs completed his PhD in T cell immunology at Imperial College London, followed by postdoctoral training in epigenetics and a fellowship in computational genomics at Oxford. He currently holds an MRC Career Development Fellowship and is a co-founder of Caeruleus Genomics, a University of Oxford spinout. He also serves as the biological coordinator for the Human Cell Atlas Musculoskeletal Programme and co-leads the international scTrends Consortium.
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Date:
13 May 2025, 9:30
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar room 0
Speaker:
Prof Adam Cribbs (University of Oxford)
Organising department:
Big Data Institute (NDPH)
Organiser:
Sumeeta Maheshwari (University of Oxford)
Organiser contact email address:
sumeeta.maheshwari@ndph.ox.ac.uk
Hosts:
Dr Nicky Whiffin (University of Oxford),
Duncan Palmer (University of Oxford)
Part of:
BDI/CHG Genomics Seminar Series
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Sumeeta Maheshwari
