Human Cornea Proteome: Identification and Quantitation of the Proteins of the Three Main Layers Including Epithelium, Stroma, and Endothelium

Autor: Carsten Scavenius, Henrik Vorum, Jan J. Enghild, Thomas F. Dyrlund, Ida B. Thøgersen, Camilla Lund Nikolajsen, Ebbe Toftgaard Poulsen
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Journal of Proteome Research
Dyrlund, T F, Poulsen, E T, Sonne-Schmidt, C S, Nikolajsen, C L, Thøgersen, I B, Vorum, H & Enghild, J J 2012, ' Human cornea proteome : Identification and quantitation of the proteins of the three main layers including epithelium, stroma and endothelium ', Journal of Proteome Research, vol. 11, no. 8, pp. 4231–4239 . https://doi.org/10.1021/pr300358k
ISSN: 1535-3907
1535-3893
DOI: 10.1021/pr300358k
Popis: Diseases of the cornea are common and refer to conditions like infections, injuries and genetic defects. Morphologically, many corneal diseases affect only certain layers of the cornea and separate analysis of the individual layers is therefore of interest to explore the basic molecular mechanisms involved in corneal health and disease. In this study, the three main layers including, the epithelium, stroma and endothelium of healthy human corneas were isolated. Prior to analysis by LC-MS/MS the proteins from the different layers were either (i) separated by SDS-PAGE followed by in-gel trypsinization, (ii) in-solution digested without prior protein separation or, (iii) in-solution digested followed by cation exchange chromatography. A total of 3250 unique Swiss-Prot annotated proteins were identified in human corneas, 2737 in the epithelium, 1679 in the stroma, and 880 in the endothelial layer. Of these, 1787 proteins have not previously been identified in the human cornea by mass spectrometry. In total, 771 proteins were quantified, 157 based on in-solution digestion and 770 based on SDS-PAGE separation followed by in-gel digestion of excised gel pieces. Protein analysis showed that many of the identified proteins are plasma proteins involved in defense responses.
Databáze: OpenAIRE