alexa The Use of Conjunctival Swab for the Proteomic Characterisation of Dry Eye Syndrome
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

The Use of Conjunctival Swab for the Proteomic Characterisation of Dry Eye Syndrome

Joanna Graham1, Robert L.J. Graham1, Raymond Beirne1, Victoria E. McGilligan1, Stephen C. Downes1, Jonathan E. Moore1 ,2, Tara C. B. Moore1, Geoff McMullan1*

1School of Biomedical Sciences, University of Ulster, Coleraine, Northern Ireland

2Department of Ophthalmology, Royal Group Hospitals, Belfast, Northern Ireland

Both authors contributed equally to this manuscript.

*Corresponding Author:
Dr. Geoff McMullan
School of Biomedical Sciences
University of Ulster, Cromore Road
Coleraine, BT52 1SA, UK
Fax: +44-2870-324375,
E-mail: [email protected]

Received Date: April 04, 2008; Accepted Date: April 15, 2008; Published Date: April 22, 2008

Citation: Joanna G, Robert LJG, Raymond B, Victoria EMG, Stephen CD, et al. (2008) The Use of Conjunctival Swab for the Proteomic Characterisation of Dry Eye Syndrome. J Proteomics Bioinform 1: 017-027. doi:10.4172/jpb.1000005

Copyright: © 2008 Joanna G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



In this study we report the first gel based proteomic analysis of an inflammed dry eye utilising a clinically-based non-invasive methodology for collection of a specimen from the posterior lid and inferior conjunctival mucosa of the subject. This multidimensional technique allowed the identification of 592 proteins, having a MOWSE score of greater than 40, using the heuristic tool PROVALT. Automated curation of this list using an inbuilt randomised database searching tool with false discovery rate set at 1% significantly reduced this list to 86 proteins. Additional manual curation resulted in the final positive identification of 75 proteins. These identified proteins were functionally classified and physiochemically characterised. This led to the identification of a number of proteins involved in cell structure, inflammation, and the innate immune response. Contained within these proteins were a number of potential biomarkers of not only dry eye syndrome but also lacrimal gland acinar cell function such as lacritin, calgranulin A and lacrimal proline-rich protein 4.


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