How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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EP 119: Revolutionising drug discovery: how the Pharma Proteomics Project is combining genetic and proteomic data with Chris Whelan
MP3•Home de episódios
Manage episode 397578270 series 2631947
Conteúdo fornecido por Sano Genetics. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sano Genetics ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
0:00 Introduction
01:00 Chris’ background and career to date
02:10 What is the Enigma Project?
02:10 What is the Enigma Project?
04:48 How is genetics being applied to drug discovery today and how does proteomics fit in?
09:23 When the UKBiobank Pharma Proteomics Project began and how long it took to set up
10:57 54k UK Biobank participants tested - discussion of findings
14:33 The project has carried out GWAS on nearly 3k proteins
15:18 Are there plans to scale the project and what do the team hope to discover through larger scale work?
18:10 Which areas of biology has the project provided a good insight into and which have proved more challenging
19:30 Are there projects of a similar scale where it would be possible to focus more on neuroscience?
21:31 Is reaching numbers akin to 100 million whole genomes required to fully leverage genetic data in drug discovery?
25:00 Causal or correlated? Medelian randomisation as an important tool for drawing the link from gene to protein and identifying relevant phenotypes
27:12 The causal proteins for the majority of neurological diseases are not differentially or cross sectionally changed
28:50 The future prospects of serial sampling and what is the potential value vs logistical burden
31:05 Imaging derived phenotypes: Integration of brain scan data with genetics
32:32 How well can brain organoids or other kinds of cellular systems match what’s going on in the actual brain?
35:30 The most exciting developments in the field we might see in the next couple of years
37:45 Closing remarks
Please consider rating and reviewing us on your chosen podcast listening platform!
166 episódios
MP3•Home de episódios
Manage episode 397578270 series 2631947
Conteúdo fornecido por Sano Genetics. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sano Genetics ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
0:00 Introduction
01:00 Chris’ background and career to date
02:10 What is the Enigma Project?
02:10 What is the Enigma Project?
04:48 How is genetics being applied to drug discovery today and how does proteomics fit in?
09:23 When the UKBiobank Pharma Proteomics Project began and how long it took to set up
10:57 54k UK Biobank participants tested - discussion of findings
14:33 The project has carried out GWAS on nearly 3k proteins
15:18 Are there plans to scale the project and what do the team hope to discover through larger scale work?
18:10 Which areas of biology has the project provided a good insight into and which have proved more challenging
19:30 Are there projects of a similar scale where it would be possible to focus more on neuroscience?
21:31 Is reaching numbers akin to 100 million whole genomes required to fully leverage genetic data in drug discovery?
25:00 Causal or correlated? Medelian randomisation as an important tool for drawing the link from gene to protein and identifying relevant phenotypes
27:12 The causal proteins for the majority of neurological diseases are not differentially or cross sectionally changed
28:50 The future prospects of serial sampling and what is the potential value vs logistical burden
31:05 Imaging derived phenotypes: Integration of brain scan data with genetics
32:32 How well can brain organoids or other kinds of cellular systems match what’s going on in the actual brain?
35:30 The most exciting developments in the field we might see in the next couple of years
37:45 Closing remarks
Please consider rating and reviewing us on your chosen podcast listening platform!
166 episódios
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