Powered by OpenAIRE graph
Found an issue? Give us feedback

Aston University

Aston University

26 Projects, page 1 of 6
  • Funder: Wellcome Trust Project Code: 105261
    Funder Contribution: 2,000 GBP
    more_vert
  • Funder: Wellcome Trust Project Code: 91496
    Funder Contribution: 209,825 GBP

    Receptor activity modifying proteins (RAMPs) associate with a number of G-protein coupled receptors (GPCRs). They are essential for the binding of the native peptide agonists at CGRP, adrenomedullin and amylin receptors; at other GPCRs they can promote cell surface delivery or modulate signal transduction. Thus they are key receptor components and proven drug targets. Guided by a crystal structure of the extracellular N-terminus of RAMP1, mutagenesis has revealed how it associates with the GPCR, calcitonin receptor-like receptor (CLR) to form a CGRP receptor. However, little is known about the structure- activity relationship for the two other RAMPs, RAMP2 and RAMP3. These are essential for the formation of adrenomedullin receptors. We have produced models for RAMP2 and RAMP3 and have purified these proteins to homogeneity. In this application, we will combine all our information to guide mutagenesis to understand how RAMP2 interacts with CLR to form a receptor for adrenomedullin. We wi ll also carry out structural characterisation of RAMPs with CLR. The work will provide new information on the functioning of the RAMP family and will facilitate drug discovery at receptors involving RAMPs. Natural ligands such as hormones and neurotransmitters largely produce their effects by acting at proteins on the surface of cells known as receptors; drugs work by binding to these receptors to either mimic the natural transmitter or reduce its action. It is important to know the structure of receptors, to understand basic biological processes and to design new drugs. Receptor activity modifying proteins (RAMPs) are a family of three proteins that interact with many important receptors, frequen tly receptors for which it has been difficult to discover drugs. A new class of antimigraine drug works by binding, in part, to RAMP1. RAMP 2 and 3 form parts of receptors involved in control of blood pressure, blood vessel growth and also appetite. If we knew more about RAMPs, this would help drug discovery as well as increasing our fundamental knowledge of physiology. This project will investigate the structure of RAMPs by biophysical techniques. It will investigate how they can bind to recept ors and how, in turn, natural ligands can bind to them once they are part of a receptor complex. This will help the design of new drugs to treat diverse conditions.

    more_vert
  • Funder: Wellcome Trust Project Code: 080849
    more_vert
  • Funder: Wellcome Trust Project Code: 99800
    Funder Contribution: 1,020 GBP

    We seek to provide a rapid, inexpensive detection system to facilitate timely initiation of appropriate antimicrobial therapy for ulcerative keratitis. These infections result in a high loss of corneas in India (>30%) because of incorrect diagnosis, inappropriate treatment and lack of availability of microbiological laboratory services to most ophthalmologists. The project will develop a technology for bed-side identification of the class of microorganisms causing external ocular infections including microbial keratitis. The project will be centred on the use of highly branched poly (N-isopropyl acrylamide) (HB-PNIPAM) functionalised with end groups that bind specifically to either Gram-negative bacteria, Gram-positive bacteria or fungi. In the prototypes of this new material, binding with microorganisms induced a change in the degree of solvation of the polymer causing a phase transition from an open coil to a globular state. This conformational change will be detected by adding dyes that change colour in the altered solvation environment. We propose to develop functional contact lenses coated with HB- PNIPAM that will detect the three major classes of pathogens that cause 96% of eye infections in India. Parasitic or viral infections, which account for less than 4%, will not be detected by this technology but will be inferred by negative results from both the bacteria and fungi lenses in conjunction with clinical examination. We seek to provide a rapid, inexpensive detection system to facilitate timely initiation of appropriate antimicrobial therapy for ulcerative keratitis. These infections result in a high loss of corneas in India (>30%) because of incorrect diagnosis, inappropriate treatment and lack of availability of microbiological laboratory services to most ophthalmologists. The project will develop a technology for bed-side identification of the class of microorganisms causing external ocular infections including microbial keratitis. The project will be centred on the use of highly branched poly (N-isopropyl acrylamide) (HB-PNIPAM) functionalised with end groups that bind specifically to either Gram-negative bacteria, Gram-positive bacteria or fungi. In the prototypes of this new material, binding with microorganisms induced a change in the degree of solvation of the polymer causing a phase transition from an open coil to a globular state. This conformational change will be detected by adding dyes that change colour in the altered solvation environment. We propose to develop functional contact lenses coated with HB- PNIPAM that will detect the three major classes of pathogens that cause 96% of eye infections in India. Parasitic or viral infections, which account for less than 4%, will not be detected by this technology but will be inferred by negative results from both the bacteria and fungi lenses in conjunction with clinical examination.

    more_vert
  • Funder: Wellcome Trust Project Code: 066109
    Funder Contribution: 4,700 GBP
    more_vert
  • chevron_left
  • 1
  • 2
  • 3
  • 4
  • 5
  • chevron_right

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.