Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Professor Shankar Srinivas (based in the IDRM), has received a Wellcome Discovery Award.

Shankar Srinivas

Congratulations to Shankar Srinivas (based in the IDRM), who has received a Wellcome Discovery Award.

The fertilized egg undergoes dramatic changes in shape over the course of development in the womb, during which we are transformed from a clump of cells into something more recognisable as a developing foetus. This has to be coordinated with the generation of myriad distinct cell types, that have to be positioned correctly to produce a healthy embryo. This £2.9M award will fund research into understanding how the early embryo is shaped during early stages of development, when the basic plan of the body is laid down.

This research will specifically focus on the molecular genetic basis by which the biomechanical landscape of the embryo is modulated over the course of development, to enable it to acquire the correct shape. In addition to generating novel insights into the control of embryonic morphogenesis at the cellular and molecular level, it will also advance our understanding of the fundamental process of tissue remodelling, and how this might be subverted in pathological situations. The research, undertaken in the Institute for Developmental and Regenerative Medicine, will also contribute to increasing efforts at recapitulating tissue morphogenesis in vitro.

The Wellcome Discovery Awards provide funding for established researchers and teams from any discipline who want to pursue bold and creative research ideas to deliver significant shifts in understanding that could improve human life, health and wellbeing.

Similar stories

BHF Oxford CRE welcomes new Transition Fellows

We are delighted to welcome our recently appointed Transition Fellows to the BHF Oxford CRE who will be starting this Autumn.

Qiang Zhang appointed Associate Professor of AI in Cardiovascular Imaging

Dr Qiang Zhang, former BHF Oxford CRE Transition Fellow, has been appointed as Associate Professor of AI in Cardiovascular Imaging by RDM and the Big Data Institute. Many Congratulations to Qiang!

Heart scans could help thousands avoid unnecessary invasive procedure

Thousands of patients admitted to hospital every year with suspected heart attacks could avoid an unnecessary invasive procedure if they have a routine heart MRI scan first, according to research led by the Radcliffe Department of Medicine.

AI analysis of routine heart scans can predict risk of developing heart problems ten years in advance, new research finds

A research team led by scientists at the Radcliffe Department of Medicine, University of Oxford has developed an Artificial Intelligence (AI) technology which can accurately predict the risk of a heart attack, heart failure or cardiac death from routine cardiac CT scans, up to ten years in advance.

University of Oxford research receives £5 million funding boost from British Heart Foundation

The BHF has renewed their support for the Oxford Centre of Research Excellence, which underpins the wide network of cardiovascular researchers across the University.

Similar stories

BHF Oxford CRE welcomes new Transition Fellows

We are delighted to welcome our recently appointed Transition Fellows to the BHF Oxford CRE who will be starting this Autumn.

Qiang Zhang appointed Associate Professor of AI in Cardiovascular Imaging

Dr Qiang Zhang, former BHF Oxford CRE Transition Fellow, has been appointed as Associate Professor of AI in Cardiovascular Imaging by RDM and the Big Data Institute. Many Congratulations to Qiang!

Heart scans could help thousands avoid unnecessary invasive procedure

Thousands of patients admitted to hospital every year with suspected heart attacks could avoid an unnecessary invasive procedure if they have a routine heart MRI scan first, according to research led by the Radcliffe Department of Medicine.

AI analysis of routine heart scans can predict risk of developing heart problems ten years in advance, new research finds

A research team led by scientists at the Radcliffe Department of Medicine, University of Oxford has developed an Artificial Intelligence (AI) technology which can accurately predict the risk of a heart attack, heart failure or cardiac death from routine cardiac CT scans, up to ten years in advance.

University of Oxford research receives £5 million funding boost from British Heart Foundation

The BHF has renewed their support for the Oxford Centre of Research Excellence, which underpins the wide network of cardiovascular researchers across the University.