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Issue 3, 2011
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A proteomic approach to study parathyroid glands

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Parathyroid tumours are heterogeneous and in some cases the diagnosis may be difficult using histological features. In this study we used a two-dimensional electrophoresis (2D)/mass spectrometry (MS)-based approach to examine the global changes of parathyroid adenoma tissues protein profile compared to the parathyroid normal tissues. Validation of protein expression was performed by immunoblotting using specific antibodies. Ingenuity software was used to identify the biological processes to which these proteins belong and to construct a potential network. A total of 30 proteins were found to be differentially expressed, of which 22 resulted in being over-expressed. Proteins identified by 2D/MS/MS proteomics were classified into functional categories and a major change (≥ 2-fold) in terms of expression was found in proteins involved in response to biotic stimuli, cell organization and signal transduction. After Ingenuity analysis, 14-3-3 ζ/δ appears to be a key protein in the network of parathyroid adenoma, where it is linked to other proteins such as annexin A2, B box and SPRY domain-containing protein (BSPRY), p53 and epidermal growth factor receptor (EGFR). Our results suggest that the proteomic approach was able to differentiate the protein profiles of normal parathyroid and parathyroid adenoma and identify a panel of proteins which are differentially expressed. The functional role of these proteins in the network of intracellular pathways is discussed.

Graphical abstract: A proteomic approach to study parathyroid glands

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The article was received on 07 Sep 2010, accepted on 01 Dec 2010 and first published on 21 Dec 2010

Article type: Paper
DOI: 10.1039/C0MB00191K
Citation: Mol. BioSyst., 2011,7, 687-699
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    A proteomic approach to study parathyroid glands

    L. Giusti, F. Cetani, F. Ciregia, Y. Da Valle, E. Donadio, G. Giannaccini, C. Banti, E. Pardi, F. Saponaro, F. Basolo, P. Berti, P. Miccoli, A. Pinchera, C. Marcocci and A. Lucacchini, Mol. BioSyst., 2011, 7, 687
    DOI: 10.1039/C0MB00191K

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