The Queen’s University of Belfast Confidence in Concept programme 2016

Lead Research Organisation: Queen's University Belfast
Department Name: UNLISTED

Abstract

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Technical Summary

The Confidence in Concept scheme is a key part of MRC’s translational research strategy and provides annual awards to institutions, to be used flexibly to support the earliest stages of multiple translational research projects. The award can be used by the institution to support a number of preliminary-stage translational projects. The projects supported should aim to provide sufficient preliminary data to establish the viability of an approach –– before seeking more substantive funding.  It is intended to accelerate the transition from discovery research to translational development projects by supporting preliminary work or feasibility studies to establish the viability of an approach.

People

ORCID iD

 
Description "The role of extracellular vesicle miRNAs in Mesenchymal Stem Cells' effects on macrophage modulation in ARDS"
Amount £566,892 (GBP)
Funding ID MR/S009426/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 05/2019 
End 04/2022
 
Description A conserved protein O-glycosylation pathway in the Burkholderia genus essential for bacterial fitness and antigenicity in humans
Amount £455,987 (GBP)
Funding ID BB/T005807/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 11/2020 
End 10/2023
 
Description Cell therapy for chronic non-healing wounds
Amount £207,476 (GBP)
Funding ID MR/S036695/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 02/2020 
End 02/2022
 
Description Development of a novel tumour immunotherapy neoantigen vaccine
Amount £148,684 (GBP)
Funding ID INI PoC 703 
Organisation Invest Northern Ireland 
Sector Public
Country United Kingdom
Start 08/2017 
End 10/2019
 
Description Development of intracellular VNARs as novel tools to dissect intracellular biological processes
Amount £346,537 (GBP)
Funding ID BB/R009112/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 04/2018 
End 03/2021
 
Description Induced Pluripotent Stem Cell technology for Drug Discovery and Personalized Medicine
Amount £206,360 (GBP)
Funding ID 45418 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 03/2021 
End 11/2022
 
Description Mesenchymal stem cell-derived extracellular vesicles as a cell-free therapy for ARDS.
Amount £251,900 (GBP)
Funding ID MR/R025096/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 10/2018 
End 09/2020
 
Description New insights into the molecular mechanisms of Grem1-mediated diabetic kidney disease
Amount £112,467 (GBP)
Funding ID INI PoC 905 
Organisation Invest Northern Ireland 
Sector Public
Country United Kingdom
Start 11/2019 
End 04/2022
 
Description investigation of Aberrant QKI splicing
Amount £264,386 (GBP)
Organisation British Heart Foundation (BHF) 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2019 
End 02/2022
 
Title A NEW BIOMARKER FOR PREECLAMPSIA 
Description This invention relates to the use of biomarker LRG1 as a biomarker for preeclampsia for use from the first trimester. Elevated levels of leucine-rich alpha 2 glycoprotein 1 (LRG1) can predict risk for the future development of preeclampsia or other hypertensive disorders of pregnancy. The predictive test will comprise the measurement of LRG1 protein, peptide fragment, DNA or RNA, from either blood, plasma, serum, urine, saliva or amniotic fluid. The invention provides a method and a test kit to assess the risk of pre-eclampsia in pregnant woman. The method or test can utilise antibodies to measure levels of LGR1 in a sample. 
IP Reference US2019383822 
Protection Patent granted
Year Protection Granted 2019
Licensed No
Impact N/A
 
Company Name MICARE TECHNOLOGIES LTD 
Description miCARE Technologies is a real-time, integrated, home monitoring system to support healthcare in diabetes and reduce cost and stress of hospital visits. It's goal is to improve the management and outcomes of high-risk patients through risk-stratification and prediction algorithms for early detection of complications, which can be incorporated into our home monitoring system. Current application focus is on monitoring diabetes in pregnancy, but can be modified and scaled to other indications. 
Year Established 2018 
Impact N/A