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DTSTART:20260329T010000
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DTSTART;VALUE=DATE:20260618
DTEND;VALUE=DATE:20260620
DTSTAMP:20260624T070010
CREATED:20260305T131731Z
LAST-MODIFIED:20260305T131731Z
UID:10002133-1781740800-1781913599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Using Conditional Transgenic Models
DESCRIPTION:This course is designed for anyone working with conditional mouse models\, including the Cre-Lox system and alternative recombinase platforms such as Flp\, Dre\, and Vika. These technologies provide researchers with the ability to manipulate gene expression in a spatially and/or temporally controlled manner\, enabling precise investigation of biological processes that cannot be interrogated using traditional constitutive knockout models. \nBy allowing genes to be selectively turned on or off in specific tissues\, cell types\, or developmental stages\, conditional systems offer powerful means to dissect the roles of individual genes within complex physiological networks. Moreover\, combining multiple recombinase systems expands the experimental possibilities even further – for example\, enabling the controlled exchange of a wild type exon for a mutant variant at a defined point in time to model disease progression with exceptional precision. \nHowever\, the intricate mechanisms underlying conditional systems make them particularly vulnerable to errors and misinterpretation. \nWhile the biology behind these approaches is elegant\, in practice there are numerous pitfalls that can compromise experimental outcomes. Many of these issues are not immediately apparent from the literature on conditional models\, nor are they always obvious within an experiment unless you know what to look for. Consequently\, researchers may unknowingly draw inaccurate conclusions\, with errors that can propagate and compromise downstream studies. \nThis course aims to equip trainees with a clear understanding of how these models function biologically\, as well as the practical ways in which they can fail. We will cover how to anticipate and control for confounding effects\, how to troubleshoot unexpected results\, and how to proceed when a model does not behave as expected. \nWho is this for? \nAnyone who is using or planning to use conditional models\, that has previous knowledge of advanced mouse genetics\, including researchers\, PhD students and colony managers. \nAfter this course\, you will be able to: \n\nUnderstand the basic principles of conditional transgenesis\nUnderstand how cre expressing and floxed alleles are produced and the potential impact on the experimental outcome\nIdentify the advantages and challenges of these systems\nAnalyse recombinase (Cre) expression\nUnderstand how to establish colonies for conditional transgenesis and the importance of background strain within this\nPlan breeding schemes with consideration of control strategies and cohort numbers\n\n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/using-conditional-transgenic-models/
LOCATION:MRC Harwell\, Becquerel Avenue\, Harwell\, Didcot\, Oxfordshire\, OX11 0RD\, United Kingdom
CATEGORIES:Training
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DTSTART;TZID=Europe/London:20260618T130000
DTEND;TZID=Europe/London:20260618T140000
DTSTAMP:20260624T070010
CREATED:20260615T123617Z
LAST-MODIFIED:20260615T123617Z
UID:10002288-1781787600-1781791200@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Professor Gill Livingston: Exploring modifiable risk factors for dementia
DESCRIPTION:Cardiff University School of Medicine Science Seminar Series \nGill Livingston is Professor of Psychiatry of Older People at University College Londoin and a consultant old-age psychiatrist at North London NHS Foundation Trust. She leads the Lancet Standing Commission on Dementia Prevention\, Intervention and Care\, whose reports in 2017\, 2020 and 2024 have helped move dementia prevention\, intervention and care into the centre of public health and clinical debate. Her work informs individual choices\, healthcare practice and policy internationally\, connecting evidence about dementia risk with practical approaches to diagnosis\, care and support. \nGill’s research is collaborative and interdisciplinary\, bringing together epidemiology\, psychiatry and biopsychosocial approaches to understand dementia risk and improve care. She has developed and assessed evidence-based interventions for people living with dementia\, their families and carers\, with a focus on improving quality of life\, reducing distress and supporting care in everyday settings. The 2024 Lancet Commission she led identified 14 modifiable risk factors and estimated that addressing them could prevent or delay nearly half of dementia cases worldwide\, challenging the idea that dementia care begins only after diagnosis. \nExploring Modifiable Risk Factors for Dementia – Around 45% of dementia cases may be preventable or delayed by addressing known risk factors. This talk will discuss what prevention looks like in practice\, why it remains essential alongside new treatments\, and how targeted approaches can support those most at risk. It will also consider how reducing dementia risk can extend healthy life\, delay symptoms\, prevent some cases\, and reduce wider costs for families\, health services and society. \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/professor-gill-livingston-exploring-modifiable-risk-factors-for-dementia/
LOCATION:Online\, United Kingdom
CATEGORIES:Lecture
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