M19 Modulates Skeletal Muscle Differentiation and Insulin Secretion in Pancreatic β-Cells through Modulation of Respiratory Chain Activity

Mitochondrial dysfunction due to nuclear or mitochondrial DNA alterations contributes to multiple diseases such as metabolic myopathies, neurodegenerative disorders, diabetes and cancer. Nevertheless, to date, only half of the estimated 1,500 mitochondrial proteins has been identified, and the function of most of these proteins remains to be determined. Here, we characterize the function of M19, a novel mitochondrial nucleoid protein, in muscle and pancreatic β-cells. We have identified a 13-long amino acid sequence located at the N-terminus of M19 that targets the protein to mitochondria. Furthermore, using RNA interference and over-expression strategies, we demonstrate that M19 modulates mitochondrial oxygen consumption and ATP production, and could therefore regulate the respiratory chain activity. In an effort to determine whether M19 could play a role in the regulation of various cell activities, we show that this nucleoid protein, probably through its modulation of mitochondrial ATP production, acts on late muscle differentiation in myogenic C2C12 cells, and plays a permissive role on insulin secretion under basal glucose conditions in INS-1 pancreatic β-cells. Our results are therefore establishing a functional link between a mitochondrial nucleoid protein and the modulation of respiratory chain activities leading to the regulation of major cellular processes such as myogenesis and insulin secretion

Bone refilling in cortical bone multicellular units: Insights into tetracycline double labelling from a computational model

Bone remodelling is carried out by `bone multicellular units' (BMUs) in which active osteoclasts and active osteoblasts are spatially and temporally coupled. The refilling of new bone by osteoblasts towards the back of the BMU occurs at a rate that depends both on the number of osteoblasts and on their secretory activity. In cortical bone, a linear phenomenological relationship between matrix apposition rate (MAR) and BMU cavity radius is found experimentally. How this relationship emerges from the combination of complex, nonlinear regulations of osteoblast number and secretory activity is unknown. Here, we extend our previous mathematical model of cell development within a single BMU to investigate how osteoblast number and osteoblast secretory activity vary along the BMU's closing cone. MARs predicted by the model are compared with data from tetracycline double labelling experiments. We find that the linear phenomenological relationship observed in these experiments between MAR and BMU cavity radius holds for most of the refilling phase simulated by our model, but not near the start and end of refilling. This suggests that at a particular bone site undergoing remodelling, bone formation starts and ends rapidly. Our model also suggests that part of the observed cross-sectional variability in tetracycline data may be due to different bone sites being refilled by BMUs at different stages of their lifetime. The different stages of a BMU's lifetime depend on whether the cell populations within the BMU are still developing or have reached a quasi-steady state while travelling through bone. We find that due to their longer lifespan, active osteoblasts reach a quasi-steady distribution more slowly than active osteoclasts. We suggest that this fact may locally enlarge the Haversian canal diameter (due to a local lack of osteoblasts compared to osteoclasts) near the BMU's point of origin.Comment: 16 pages, 6 figures, 3 tables. V3: minor changes: added 2 paragraphs (BMU cavity in Section 2 and Model Robustness in Section 4), references [52,54

Biocompatibility of magnesium phosphate minerals and their stability under physiological conditions

Magnesium phosphates such as newberyite (MgHPO4 center dot 3H(2)O) are formed in vivo and are known to be biodegradable and nontoxic after implantation. Indeed, magnesium apatites have been shown to support osteoblast differentiation and function, and bone formation can occur around metallic magnesium implants. However, very little is known regarding the precipitation and stability of magnesium phosphates in physiological environments. In order to address this, the aqueous formation of magnesium phosphate as a function of pH, temperature and ion concentration is reported. Physicochemical characterization of the precipitates was carried out: additionally, biocompatibility and gene expression of osteoblast differentiation markers for bone formation via an in vitro cell culture assay were determined. Precipitation conditions for newberyite, tribasic magnesium phosphate pentahydrate, holtedahlite, bobierrite and cattiite were determined. Under physiological conditions of pH, temperature and magnesium phosphate concentration, no precipitates were formed. However, at concentrations 10-100 times higher than physiological, magnesium phosphate precipitates of cattiite and newberyite were formed. These two minerals demonstrated biocompatibility with osteoblast cultures and induced osteoblast adhesion and differentiation. The pattern of expression of OCN and CollA1 genes in the presence of newberyite crystals was comparable to that of calcium phosphate bioceramics. In our experiments, we have shown that certain magnesium phosphate phases such as newberyite and cattiite are able to promote in vivo osteogenic activity in a similar way to calcium phosphates such as hydroxyapatite and brushite. This confirms the great potential of magnesium phosphate ceramics in the development of new biomaterials for bone regeneration. (C) 2011 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved

Data on the effects of local membrane deformation and micro-injury in osteoblasts

<p>The dataset consists of the following: Force-distance curves collected during AFM application using Asylum MFP3D software in IgorPro 6.22 platform, labeled as “Force curves”<br>Video files of changes in fluorescence intensity of fluo-4 loaded cells during the indentation experiment labeled as “movie”<br>Examples of traces of changes in fluorescence intensity extracted from the video files using a code for Matlab 2011 A available in reference 22 in the associated article, labeled as “Mean Ca Fluorescence intensity”</p