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Defining Cancer Cell Bioenergetic Profiles Using a Dual Organelle-Oriented Chemosensor Responsive to pH Values and Electropotential Changes.

Anal Chem

July 2017

Department of Chemical Biology, College of Chemistry and Chemical Engineering, State Key Laboratory for Physical Chemistry of Solid Surfaces, the Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, and Innovation Center for Cell Signaling Network, Xiamen University, Xiamen, 361005, China.

Cell fate is largely shaped by combined activity of different types of organelles, which often feature functionally critical parameters that succumb to pathological inducers. We herein report the analysis of cell bioenergetic profiles with a dual organelle-oriented chemosensor (RC-AMI), partitioning in mitochondria to give blue fluorescence and in lysosomes to give red fluorescence. Responsive to lysosomal pH and mitochondrial transmembrane potential (ΔΨ), two parameters crucial to cell bioenergetics, RC-AMI enables dual colored reporting of lysosomal acidity and ΔΨ, revealing upregulated ΔΨ and imbalance dramatically shifted favoring ΔΨ over lysosomal acidity in cancer cells whereas the tendency is reversed in starved cells.

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Although cell therapy of the failing heart by intramyocardial injections of myoblasts to results in regenerative benefit, it has also been associated with undesired and prospectively fatal arrhythmias. We hypothesized that intramyocardial injections of myoblasts could enhance inflammatory reactivity and facilitate electrical cardiac abnormalities that can be reduced by epicardial myoblast sheet delivery. In a rat model of ischemic heart failure, myoblast therapy either by intramyocardial injections or epicardial cell sheets was given 2 weeks after occlusion of the coronary artery.

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Data mining approach to evaluating the use of skin surface electropotentials for breast cancer detection.

Technol Cancer Res Treat

February 2010

School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore.

The Biofield Diagnostic System (BDS) uses a score formed with measured skin surface electropotentials and a prior Level Of Suspicion (LOS) value (predicted by the physician based on the patient's ultrasound or mammography results) to calculate a revised Post-BDS LOS to indicate the presence of breast cancer. The demographic details, BDS test results, and the recorded electropotential values form a potentially useful dataset, which can be further explored with data mining tools to extract important information that can be used to improve the current predictive accuracy of the device. According to the proposed data mining framework, the BDS dataset with 291 cases was first pre-processed to remove outliers and then used to select relevant and informative features for classifier development and finally to evaluate the capability of the built classifiers in detecting the presence of the disease.

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Molecular physicobiochemical calculations indicated that the metallic ion binding to beta-amyloids (Abeta) may induce production of hydrogen peroxide, which triggers the Ca ion redistribution from the extracellular to the intracellular compartmentation, resulting in a transient membrane electropotential drop by at least 208.06 mV. Moreover, using the Mark and Houwink empirical equation, we predicted that the diffusible distances of all Abeta identities would be confined in a very tiny region within a radius less than 3.

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Background: Proliferative changes in breast epithelium are an intrinsic aspect in the development of breast cancer, and result in regions of epithelial electrical depolarisation within the breast parenchyma, which can extend to the skin surface. Diagnostic information might be obtained from a non-imaging and non-invasive test based on skin-surface electropotentials.

Methods: In 661 women, scheduled for open biopsy at eight European centres, we studied whether measurements of breast electrical activity with surface sensors could distinguish benign from malignant breast disease.

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