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7 results on '"Tyler Gorrie-Stone"'

1. Uncertainty quantification of reference-based cellular deconvolution algorithms

Author

Dorothea Seiler Vellame, Gemma Shireby, Ailsa MacCalman, Emma L Dempster, Joe Burrage, Tyler Gorrie-Stone, Leonard S Schalkwyk, Jonathan Mill, and Eilis Hannon

Subjects
dna methylation, epigenetic epidemiology, illumina 450k array, illumina epic array, cellular heterogeneity, Genetics, QH426-470
Abstract

The majority of epigenetic epidemiology studies to date have generated genome-wide profiles from bulk tissues (e.g., whole blood) however these are vulnerable to confounding from variation in cellular composition. Proxies for cellular composition can be mathematically derived from the bulk tissue profiles using a deconvolution algorithm; however, there is no method to assess the validity of these estimates for a dataset where the true cellular proportions are unknown. In this study, we describe, validate and characterize a sample level accuracy metric for derived cellular heterogeneity variables. The CETYGO score captures the deviation between a sample’s DNA methylation profile and its expected profile given the estimated cellular proportions and cell type reference profiles. We demonstrate that the CETYGO score consistently distinguishes inaccurate and incomplete deconvolutions when applied to reconstructed whole blood profiles. By applying our novel metric to >6,300 empirical whole blood profiles, we find that estimating accurate cellular composition is influenced by both technical and biological variation. In particular, we show that when using a common reference panel for whole blood, less accurate estimates are generated for females, neonates, older individuals and smokers. Our results highlight the utility of a metric to assess the accuracy of cellular deconvolution, and describe how it can enhance studies of DNA methylation that are reliant on statistical proxies for cellular heterogeneity. To facilitate incorporating our methodology into existing pipelines, we have made it freely available as an R package (https://github.com/ds420/CETYGO).

Published
2023
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2. Social mobility across the lifecourse and DNA methylation age acceleration in adults in the UK

Author

Yanchun Bao, Tyler Gorrie-Stone, Eilis Hannon, Amanda Hughes, Alexandria Andrayas, Grant Neilson, Joe Burrage, Jonathon Mill, Leonard Schalkwyk, and Meena Kumari

Subjects
Medicine, Science
Abstract

Abstract Disadvantaged socio-economic position (SEP) is associated with greater biological age, relative to chronological age, measured by DNA methylation (positive ‘age acceleration’, AA). Social mobility has been proposed to ameliorate health inequalities. This study aimed to understand the association of social mobility with positive AA. Diagonal reference modelling and ordinary least square regression techniques were applied to explore social mobility and four measures of age acceleration (first-generation: ‘Horvath’, ‘Hannum’ and second-generation: ‘Phenoage’, DunedinPoAm) in n = 3140 participants of the UK Household Longitudinal Study. Disadvantaged SEP in early life is associated with positive AA for three (Hannum, Phenoage and DunedinPoAm) of the four measures examined while the second generation biomarkers are associated with SEP in adulthood (p

Published
2022
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3. Structure, mechanism and crystallographic fragment screening of the SARS-CoV-2 NSP13 helicase

Author

Joseph A. Newman, Alice Douangamath, Setayesh Yadzani, Yuliana Yosaatmadja, Antony Aimon, José Brandão-Neto, Louise Dunnett, Tyler Gorrie-stone, Rachael Skyner, Daren Fearon, Matthieu Schapira, Frank von Delft, and Opher Gileadi

Subjects
Science
Abstract

The SARS-CoV-2 NSP13 helicase is essential for viral replication and of interest as a drug target. Here, the authors present the crystal structures of NSP13 in the apo form and bound to either phosphate or the non-hydrolysable ATP analog AMP-PNP and discuss the helicase mechanism. They also perform a crystallographic fragment screening and identify 65 bound fragments, which could help in the design of new antiviral agents.

Published
2021
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4. Systematic underestimation of the epigenetic clock and age acceleration in older subjects

Author

Louis Y. El Khoury, Tyler Gorrie-Stone, Melissa Smart, Amanda Hughes, Yanchun Bao, Alexandria Andrayas, Joe Burrage, Eilis Hannon, Meena Kumari, Jonathan Mill, and Leonard C. Schalkwyk

Subjects
DNA methylation, Epigenetic clock, Age acceleration, Biology (General), QH301-705.5, Genetics, QH426-470
Abstract

Abstract Background The Horvath epigenetic clock is widely used. It predicts age quite well from 353 CpG sites in the DNA methylation profile in unknown samples and has been used to calculate “age acceleration” in various tissues and environments. Results The model systematically underestimates age in tissues from older people. This is seen in all examined tissues but most strongly in the cerebellum and is consistently observed in multiple datasets. Age acceleration is thus age-dependent, and this can lead to spurious associations. The current literature includes examples of association tests with age acceleration calculated in a wide variety of ways. Conclusions The concept of an epigenetic clock is compelling, but caution should be taken in interpreting associations with age acceleration. Association tests of age acceleration should include age as a covariate.

Published
2019
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5. Uncertainty quantification of reference-based cellular deconvolution algorithms

Author

Dorothea Seiler Vellame, Gemma Shireby, Ailsa MacCalman, Emma L Dempster, Joe Burrage, Tyler Gorrie-Stone, Leonard S Schalkwyk, Jonathan Mill, and Eilis Hannon

Subjects
Cancer Research, Molecular Biology
Abstract

The majority of epigenetic epidemiology studies to date have generated genome-wide profiles from bulk tissues (e.g., whole blood) however these are vulnerable to confounding from variation in cellular composition. Proxies for cellular composition can be mathematically derived from the bulk tissue profiles using a deconvolution algorithm; however, there is no method to assess the validity of these estimates for a dataset where the true cellular proportions are unknown. In this study, we describe, validate and characterize a sample level accuracy metric for derived cellular heterogeneity variables. The CETYGO score captures the deviation between a sample's DNA methylation profile and its expected profile given the estimated cellular proportions and cell type reference profiles. We demonstrate that the CETYGO score consistently distinguishes inaccurate and incomplete deconvolutions when applied to reconstructed whole blood profiles. By applying our novel metric to6,300 empirical whole blood profiles, we find that estimating accurate cellular composition is influenced by both technical and biological variation. In particular, we show that when using a common reference panel for whole blood, less accurate estimates are generated for females, neonates, older individuals and smokers. Our results highlight the utility of a metric to assess the accuracy of cellular deconvolution, and describe how it can enhance studies of DNA methylation that are reliant on statistical proxies for cellular heterogeneity. To facilitate incorporating our methodology into existing pipelines, we have made it freely available as an R package (https://github.com/ds420/CETYGO).

Published
2022

6. SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids

Author

Jitske Jansen, Katharina C. Reimer, James S. Nagai, Finny S. Varghese, Gijs J. Overheul, Marit de Beer, Rona Roverts, Deniz Daviran, Liline A.S. Fermin, Brigith Willemsen, Marcel Beukenboom, Sonja Djudjaj, Saskia von Stillfried, Larissa E. van Eijk, Mirjam Mastik, Marian Bulthuis, Wilfred den Dunnen, Harry van Goor, Jan-Luuk Hillebrands, Sergio H. Triana, Theodore Alexandrov, Marie-Cherelle Timm, Bartholomeus T. van den Berge, Martijn van den Broek, Quincy Nlandu, Joelle Heijnert, Eric M.J. Bindels, Remco M. Hoogenboezem, Fieke Mooren, Christoph Kuppe, Pascal Miesen, Katrien Grünberg, Ties Ijzermans, Eric J. Steenbergen, Jan Czogalla, Michiel F. Schreuder, Nico Sommerdijk, Anat Akiva, Peter Boor, Victor G. Puelles, Jürgen Floege, Tobias B. Huber, Ronald P. van Rij, Ivan G. Costa, Rebekka K. Schneider, Bart Smeets, Rafael Kramann, Hagit Achdout, Anthony Aimon, Elad Bar-David, Haim Barr, Amir Ben-Shmuel, James Bennett, Melissa L. Boby, Bruce Borden, Gregory R. Bowman, Juliane Brun, Sarma BVNBS, Mark Calmiano, Anna Carbery, Emma Cattermole, Eugene Chernychenko, John D. Choder, Austin Clyde, Joseph E. Coffland, Galit Cohen, Jason Cole, Alessandro Contini, Lisa Cox, Milan Cvitkovic, Alex Dias, Kim Donckers, David L. Dotson, Alica Douangamath, Shirly Duberstein, Tim Dudgeon, Louise Dunnett, Peter K. Eastman, Noam Erez, Charles J. Eyermann, Mike Fairhead, Gwen Fate, Daren Fearon, Oleg Federov, Matteo Ferla, Rafaela S. Fernandes, Lori Ferrins, Richard Foster, Holly Foster, Ronen Gabizon, Adolfo Garcia-Sastre, Victor O. Gawriljuk, Paul Gehrtz, Carina Gileadi, Charline Giroud, William G. Glass, Robert Glen, null Itai glinert, Andre S. Godoy, Marian Gorichko, Tyler Gorrie-Stone, Ed J. Griffen, Storm Hassell Hart, Jag Heer, Micheal Henry, Michelle Hill, Sam Horrell, Matthew F.D. Hurley, Tomer Israely, Andrew Jajack, Eric Jnoff, Dirk Jochmans, Tobias John, Steven De Jonghe, Anastassia L. Kantsadi, Peter W. Kenny, J.L. Kiappes, Lizbe Koekemoer, Boris Kovar, Tobias Krojer, Alpha A. Lee, Bruce A. Lefker, Haim Levy, Nir London, Petra Lukacik, Hannah Bruce Macdonald, Beth Maclean, Tika R. Malla, Tatiana Matviiuk, Willam McCorkindale, Briana L. McGovern, Sharon Melamed, Oleg Michurin, Halina Mikolajek, Bruce F. Milne, Aaron Morris, Garret M. Morris, Melody Jane Morwitzer, Demetri Moustakas, Aline M. Nakamura, Jose Brandao Neto, Johan Neyts, Luong Nguyen, Gabriela D. Noske, Vladas Oleinikovas, Glaucius Oliva, David Owen, Vladimir Psenak, Ruby Pai, Jin Pan, Nir Paran, Benjamin Perry, Maneesh Pingle, Jakir Pinjari, Boaz Politi, Ailsa Powell, Reut Puni, Victor L. Rangel, Ranbabu N. Reddi, St Patrick Reid, Efrat Resnick, Emily Grace Ripka, Matthew C. Robinson, Ralph P. Robinson, Jaime Rodriguez-Guerra, Romel Rosales, Dominic Rufa, Chris Schofield, Mikhail Shafeev, Aarif Shaikh, Jiye Shi, Khriesto Shurrush, Sukrit Sing, Assa Sittner, Rachael Skyner, Adam Smalley, Mihaela D. Smilova, Leonardo J. Solmesky, John Spencer, Claire Strain-Damarell, Vishwanath Swamy, Hadas Tamir, Rachael Tennant, Warren Thompson, Andrew Thompson, Susana Tomasia, Anthony Tumber, Ioannis Vakonakis, Laura van Geel, Mariana Vaschetto, Einat B. Vitner, Vincent Voelz, Andra Volkamer, Frank von Delft, Annette von Delft, Martin Walsh, Walter Ward, Charlie Weatherall, Shay Weiss, Kris M. White, Conor Francis Wild, Matthew Wittmann, Nathan Wright, Yfat Yahalom-Ronen, Daniel Zaidmann, Hadeer Zidane, Nicole Zitzmann, Hematology, Developmental Biology, Internal Medicine, Molecular Neuroscience and Ageing Research (MOLAR), Groningen Institute for Organ Transplantation (GIOT), and Groningen Kidney Center (GKC)

Subjects
FÍGADO, viruses, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Rare cancers Radboud Institute for Molecular Life Sciences [Radboudumc 9], Kidney, All institutes and research themes of the Radboud University Medical Center, Post-Acute COVID-19 Syndrome, SDG 3 - Good Health and Well-being, Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15], Genetics, Humans, SARS-CoV-2, human iPSC kidney organoids, fibrosis, fungi, COVID-19, Cell Biology, Clinical and Translational Report, Fibrosis, Organoids, Reconstructive and regenerative medicine Radboud Institute for Molecular Life Sciences [Radboudumc 10], Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], kidney injury, Molecular Medicine, protease blocker, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], chronic kidney disease
Abstract

Kidney failure is frequently observed during and after COVID-19, but it remains elusive whether this is a direct effect of the virus. Here, we report that SARS-CoV-2 directly infects kidney cells and is associated with increased tubule-interstitial kidney fibrosis in patient autopsy samples. To study direct effects of the virus on the kidney independent of systemic effects of COVID-19, we infected human induced pluripotent stem cell-derived kidney organoids with SARS-CoV-2. Single cell RNA-sequencing indicated injury and dedifferentiation of infected cells with activation of pro-fibrotic signaling pathways. Importantly, SARS-CoV-2 infection also led to increased collagen 1 protein expression in organoids. A SARS-CoV-2 protease inhibitor was able to ameliorate the infection of kidney cells by SARS-CoV-2. Our results suggest that SARS-CoV-2 can directly infect kidney cells and induce cell injury with subsequent fibrosis. These data could explain both acute kidney injury in COVID-19 patients and the development of chronic kidney disease in Long-COVID., Graphical Abstract, Jansen, Reimer, Nagai et al report that SARS-CoV-2 infects kidney cells and is associated with kidney fibrosis in patients. Using single cell transcriptomics of infected kidney organoids, they show that SARS-CoV-2 causes kidney injury and stimulates pro-fibrotic signaling. Viral infection in organoids was inhibited by a recently developed protease blocker.

Published
2022

7. THE AUTHORS REPLY

Author

Amanda Hughes, Yanchun Bao, Melissa Smart, Tyler Gorrie-Stone, Eilis Hannon, Jonathan Mill, Joe Burrage, Leo Schalkwyk, and Meena Kumari

Subjects
Epidemiology
Published
2018

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