Loading…

Cardiac troponin I: a case study in rational antibody design for human diagnostics

In vitro diagnostic (IVD) platforms provide rapid and accurate determination of disease status. The clinical performance of antibody-based diagnostic platforms is paramount as the information provided often informs the medical intervention taken and, ultimately, the patient's outcome. Breaking...

Full description

Saved in:
Bibliographic Details
Published in:Protein engineering, design and selection design and selection, 2012-06, Vol.25 (6), p.295-305
Main Authors: Conroy, P.J., O'Kennedy, R.J., Hearty, S.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In vitro diagnostic (IVD) platforms provide rapid and accurate determination of disease status. The clinical performance of antibody-based diagnostic platforms is paramount as the information provided often informs the medical intervention taken and, ultimately, the patient's outcome. Breaking down such an immuno-IVD device into its component elements, the biorecognition entity is key to the analytical specificity of the test. Furthermore, tailored optimisation of the antibody is often necessary to impart the desired biophysical properties for the specific application. This tailoring is now widely facilitated by advances in combinatorial approaches to antibody generation, molecular evolution strategies and the availability of truly high-throughput (HT), refined surface plasmon resonance-based screening tools. In this paper, we demonstrate a rational, knowledge-driven approach to the generation of epitope-specific antibodies for the early detection of cardiovascular disease, discuss the merits of the approaches taken and offer a perspective on HT strategies to mining large antibody libraries. These results highlight the expedience of such methodologies for the development of truly superior cardiovascular disease biorecognition elements.
ISSN:1741-0126
1741-0134
DOI:10.1093/protein/gzs018