
Matthew Neville
@MDC_Neville
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Postdoctoral scientist @sangerinstitute in Cambridge, UK with @R_Rahbari and @mehurles. Sperm sequencing, de novo mutation, and somatic evolution.
Cambridge, England
Joined May 2020
RT @giladevrony: Happy to see our new paper out! A great collaboration with @jeshoag. We collected sequential sperm samples separated by de….
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RT @seplyarskiy: Excited to share our preprint: Cohort-level analysis of human de novo mutations points to drivers of clonal expansion in s….
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RT @R_Rahbari: II'm excited to finally share our study on the mutational landscape and selection dynamics in sperm, now live on medRxiv: ht….
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RT @imartincorena: Excited to share our latest work. We introduce an improved version of NanoSeq, a duplex sequencing protocol with <5 erro….
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Huge thanks to @TwinsUKres volunteers & researchers, @R_Rahbari who led this work, @mehurles who co-supervised this project, @imartincorena and team for their insights and support with NanoSeq, @RasheshSanghvi, @MimyPham, @ATJCagan, and many others. Feedback welcome! [15/15].
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Can we investigate this at scale in sperm? An updated NanoSeq protocol unlocks our ability to deeply sequence coding regions in sperm. See the method and incredible insights into somatic evolution from @imartincorena and team here [8/15].
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Next, we investigated positive selection of driver mutations during spermatogenesis. This effect was uncovered and has been extensively characterised by the Wilkie and @GorielyLab groups. A summary figure of theirs here [6/15]
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Applying NanoSeq to 81 sperm samples from men of the @TwinsUKres cohort aged 24-75 we find mutation accumulation in sperm consistent with testis sequencing (Moore et al, 2021) and gold-standard rates from trio sequencing (Sasani et al, 2019) [5/15]
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RT @R_Rahbari: My old account has disappeared, and I'm not sure why. I’m hoping to recover it somehow or link it to my new one! Thank you t….
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