1. Primjena tehnologije LC-MS/MS za proteomsku analizu gingivnog tkiva: eksperimentalno istraživanje
- Author
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Ana Badovinac, Genadij Razdorov, Lovorka Grgurević, Ivan Puhar, Darije Plančak, Darko Božić, Ana Badovinac, Genadij Razdorov, Lovorka Grgurević, Ivan Puhar, Darije Plančak, and Darko Božić
- Abstract
Svrha: Željelo se pronaći optimalne uvjete i metode za identifikaciju maksimalnog broja proteina u uzorcima tkiva gingive pacijentice s agresivnim parodontitisom. Pritom smo se koristili tehnologijom Label-free kvantifikacije, tekućinske kromatografije i spektrometrije masa (LC –MS/MS), te usporedili proteom zdravih i bolesnih uzoraka tkiva gingive. Materijali i metode: Četiri uzorka gingivnog tkiva (dva zdrava i dva bolesna) uzeta su od pacijentice, inače nepušačice, koja boluje od teškog oblika generaliziranog agresivnog parodontitisa. Proteini tkivnog lizata razdvojeni su 1D gel-elektroforezom nakon koje je slijedila digestija u gelu te mjerenje proteina nanoljestvicom HPLC-sistema preko nanoelektro spreja, ionizacijskog izvora i spektrometra mase. Dobiveni podaci obrađeni su u programu MaxQuant. Rezultati: Label-free kvantifikacija i LC-MS/MS analiza, zajedno s pripremom uzoraka, 1D gel-elektroforezom i digestijom u gelu pokazali su se kao učinkovita metoda za analizu proteoma gingivnog tkiva. Ukupan broj identificiranih i kvantificiranih proteina iznosio je 2429. Proteini koji su pokazali pojačanu ekspresiju u tkivu zahvaćenom agresivnim parodontitisom bili su: imunoglobulinski gama-1 lanac regije C, imunoglobulinski kapa lanac regije C i imunoglobulinski gama-3 lanac regije C (Ig gamma-1 chain C region, Ig kappa chain C region i Ig gamma-3 chain C region), a desmoplakin, aneksini, proteini S100-A8/A9 i keratini pokazali su sniženu ekspresiju. Zaključak: Ovo eksperimentalno istraživanje omogućuje novi uvid u proteomski profil zdravog i bolesnog gingivnog tkiva, što bi moglo pridonijeti napretku u dijagnostici i prognozi te boljem razumijevanju patogeneze agresivnog parodontitisa. Tehnologija LCMS/ MS pokazala se učinkovitom kad je riječ o proteomskoj analizi gingivnog tkiva., Aim: The aim of this study was to find an optimal method to identify maximal number of proteins from human gingival tissue samples in a patient with aggressive periodontitis using label-free quantitative liquid chromatography mass spectrometry technology (LC-MS/MS), and to compare proteome of healthy and diseased gingival tissue samples. Materials and methods: Four gingival tissue samples (2 healthy, 2 diseased) were obtained from a nonsmoking female patient suffering from severe generalized aggressive periodontitis. Proteins from the tissue lysate were separated by 1D gel electrophoresis, in gel digested, measured by nano-scale HPLC system coupled to a mass spectrometer through a nano-electrospray ionization source. Raw data were processed by MaxQuant software. Results: Label-free quantitative LC-MS/MS analysis together with sample preparation, 1D gel electrophoresis and in-gel digestion showed to be an effective method for the proteome analysis of the gingival periodontal tissues. A total of 2429 proteins were identified and quantified. Among proteins upregulated in disease were: Ig gamma-1 chain C region, Ig kappa chain C region, Ig gamma-3 chain C region, and among downregulated proteins in the disease were: Desmoplakin, annexins, S100-A8/A9 proteins, and keratins. Conclusions: This pilot study is providing a novel insight into the protein profiles of gingival healthy and diseased tissues, which may contribute to the improvements in diagnosis, prognosis and better understanding of aggressive periodontitis pathogenesis. LC-MS/MS technology proved to be an effective method for the proteome analysis of the gingival tissues.
- Published
- 2013