News
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Grant award
Congratulations to Dr Leanne Cussen who was awarded grant funding to pursue a project exploring skeletal muscle metabolism…
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New publication: Extra-nuclear and cytoplasmic steroid receptor signaling in hormone dependent cancers
In this mini-review we outline the most recent developments in non-genomic steroid action and cytoplasmic steroid hormone receptor…
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Research Seminar Series January 2024
We kicked off the research seminar series with two fabulous talks with a focus on the impact of…
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Best Oral Presentation awarded in the Endocrine Cancer and Late Effects category
Huge congratulations to 2nd year PhD student, Stephanie Agbana MSc who was been awarded Best Oral Presentation in…
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BES 2023
The group had a very enjoyable meeting with the wider Society for Endocrinology network at their annual meeting…
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NEW REVIEW: 11-Oxy Androgens in Human Health
A new review co-authored by Clinical Lead, Prof Michael O'Reilly alongside prominent biochemist, Prof Karl-Heinz Storbeck (Stellenbosch University,…
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Research seminar series April 2023
Team member Stephanie Agabana MSc, will be presenting her research into androgens in endocrine resistant breast cancers at…
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Development of a novel 3D bioprinting model to explore skeletal muscle energy metabolism in women with PCOS
Funding has been awarded to Dr McIlroy and Prof O'Reilly to develop a 3D bioprinting model to explore…
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GRANTS UPDATE
RCSI Translational Seed Funding (October 2022) Project: ‘Utilising a 3D bioprinting model to dissect the impact of androgen excess…
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RCSI Collaborate – Sex Steroids Meeting
We had a really successful meeting last week with a wonderful line-up of international and local speakers for…
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Society for Endocrinology – Summer Studentship
It has been an absolute pleasure to host Hunter Mangleburg as a summer research scholar for the past…
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New publication: Characterizing skeletal muscle dysfunction in women with polycystic ovary syndrome
We review the possible role of androgens in the pathophysiology of skeletal muscle abnormalities in PCOS, and identify…
