Proteomics Analysis of Tissue Samples Reveals Changes in Mitochondrial Protein Levels in Parathyroid Hyperplasia over Adenoma

Abstract

Abstract. Background

Disorders of Calcium and Phosphorus Metabolism and the Proteomics/Metabolomics-Based Research

“…It is worth mentioning that most of the up-regulated proteins in hyperplasia identified are mitochondrial proteins, involving cytochrome b-c1 complex subunit 1, enoyl-CoA hydratase, 60 kDa heat shock protein, etc., suggesting the importance of abnormal mitochondrial activity in the pathogenesis of PHPT. Although this research could not create a biomarker panel, the changes in mitochondrial proteins expression yield important direction for future studies to differentiate parathyroid hyperplasia and adenoma, which remained a significant challenge to dissolve (Akpinar et al, 2017). Although parathyroid adenomas account for approximately 85% cases of PHPT (Carling, 2001), its pathogenesis is only partially understood.…”

“…To unveil the pathophysiology of PHPT, molecular details about parathyroid hyperplasia and adenoma, two similar causes contributing to the PHPT, must be revealed. Therefore, Akpinar et al (2017) performed a study to differentiate these two diseases through comparative proteomics. Forty novel dysregulated proteins of interest were identified, of which 14 were up-regulated in hyperplasia and 26 were overexpressed in adenoma.…”

Comparative Proteome Analysis of Breast Cancer Tissues Highlights the Importance of Glycerol-3-phosphate Dehydrogenase 1 and Monoacylglycerol Lipase in Breast Cancer Metabolism

“…Peptides were eluted with a matrix solution containing 50% (v/v) acetonitrile (Sigma Aldrich, St. Louis, MO, USA) 0.1% (v/v) trifluoroacetic acid (Sigma Aldrich) and 10 mg/ml alpha-cyano-4hydroxycinnamic acid (α-CHCA) (Sigma Aldrich), and were spotted onto MALDI target plate. An AB SCIEX TOF/TOF 5800 instrument (AB Sciex, Framingham, MA, USA) was used to generate peptidemass fingerprints (PMFs) for protein identification (12).…”

Principal component analysis of normalized full spectrum mass spectrometry data in multiMS‐toolbox: An effective tool to identify important factors for classification of different metabolic patterns and bacterial strains

“…Nowadays, mass spectrometry is a routinely used method for analysis of structure and composition in many different areas either as a gas or liquid chromatography detector or for direct identification of samples using matrix‐assisted laser desorption/ionization. The analyzed data range from identification of proteins and their modifications, identification or classification of different strains of bacteria for medical or biochemical purposes, food inspection, tissue changes or material analysis . Exact identification of changes between groups of samples is often made upon summarized spectra, visually identifying most discriminative positions with respect to their peak intensities, or upon an application of discriminative analysis on extracted peak data as an alternative way.…”

“…The analyzed data range from identification of proteins and their modifications, 1-3 identification or classification of different strains of bacteria for medical or biochemical purposes, [4][5][6] food inspection, 7 tissue changes or material analysis. [8][9][10][11] Exact identification of changes between groups of samples is often made upon summarized spectra, 5,6 visually identifying most discriminative positions with respect to their peak intensities, or upon an application of discriminative analysis on extracted peak data 12 as an alternative way. Based on the sampling procedure, spectral data often show high variance and thus not all the differences identified by the summarized spectrum method are present in each sample.…”