Background: Alzheimer is associated with mitochondrial dysfunction, yet the mechanism leading to APP and beta-amyloid accumulation is unknown. Results: Beta-amyloid and ␥-secretase components accumulate in mitochondria via HSP60-mediated interactions. Conclusion: HSP60 mediates accumulation of APP and beta-amyloid in the mitochondria of Alzheimer transgenic and human brains. Significance: This study identifies a molecular player that translocates beta-amyloid and APP to mitochondria, contributing to its dysfunction.

With the increase of the number of approved protein therapeutics in the market, comprehensive and reproducible characterization of these new generation drugs is crucial for the biopharmaceutical industry and regulatory agencies. One of the largest groups of biotherapeutics is monoclonal antibodies (mABs) possessing various posttranslational modifications and potential degradation hotspots during the manufacturing process that may affect efficacy and immunogenicity. The exceptionally high separation power of capillary electrophoresis (CE) in conjunction with mass spectrometry fulfills Level-3 characterization requirements necessary to reveal such modifications and degradations. In this paper, a comprehensive characterization example will be given for a representative mAB Trastuzumab (Herceptin), illustrating the benefits of the integration of CE and electrospray ionization in a unified bioanalytical process coupled with high-resolution mass spectrometry. Peptides separated in a wide size range (3-65 amino acids) were identified with 100% sequence coverage and quantified, including degradative hotspots such as glutamic acid cyclization, methionine oxidation, aspargine deamidation and C-terminal lysine heterogeneity using only 100 fmol of a single protease digest sample. The low flow rate of the system (>20 nL/min) ensured maximized ionization efficiency and dramatically reduced ion suppression.

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Breast cancer is the most common and the leading cause of mortality in women worldwide. There is a dire necessity of the identification of novel molecules useful in diagnosis and prognosis. In this work we determined the differentially expression profiles of four breast cancer cell lines compared to a control cell line. We identified 1020 polypeptides labelled with iTRAQ with more than 95% in confidence. We analysed the common proteins in all breast cancer cell lines through IPA software (IPA core and Biomarkers). In addition, we selected the specific overexpressed and subexpressed proteins of the different molecular classes of breast cancer cell lines, and classified them according to protein class and biological process. Data in this article is related to the research article “Determination of the protein expression profiles of breast cancer cell lines by Quantitative Proteomics using iTRAQ Labelling and Tandem Mass Spectrometry” (Calderón-González et al. [1] in press).