| Predicting Isoelectric Points of Non-functional Mitochondria from Monte Carlo Simulations of Surface Compositions. | |
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MedLine Citation:
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PMID: 23294022 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Mitochondria are heterogeneous organelles involved in energy production, metabolism, and cellular signaling that oftentimes are isolated from cells for chemical characterization (e.g. proteomic analysis). The chemical composition of the mitochondrial outer membrane is one of the factors defining the mitochondrial isoelectric point (pI), which is a property useful for the analysis and characterization of isolated mitochondria. We previously used capillary isoelectric focusing (cIEF) with laser-induced fluorescence detection to determine the experimental pI of individual mitochondria after their isolation under depolarizing conditions. This technique revealed that, when kept non-functional, mitochondrial pI is heterogeneous as displayed by the observed distributions of pI. To model the effect of surface composition on pI heterogeneity of these mitochondria, we devised a method to predict mitochondrial pIs using simulated surface compositions. The method was initially validated by predicting the pIs of known mitochondrial outer membrane proteins and then extended to isolated mitochondria, in which both ionizable amino acids and phospholipids contribute to mitochondrial pI. After using a Monte Carlo method to generate a library of over two million possible mitochondrial surface compositions, sufficient compositions to match the frequency of occurrence of experimental mitochondrial pIs were randomly selected. This comparison allows for association of a given individual mitochondrial pI with thousands of randomly chosen compositions. The method predicts significant changes in the percentages of some amino acids and phospholipids for observed pI differences between individual mitochondria, which is an important advancement toward explaining the observed heterogeneity of mitochondrial pI. |
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Authors:
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Gregory G Wolken; Benjamin J Fossen; Ayoung Noh; Edgar Augusto Arriaga |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2013-1-8 |
Journal Detail:
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Title: Langmuir : the ACS journal of surfaces and colloids Volume: - ISSN: 1520-5827 ISO Abbreviation: Langmuir Publication Date: 2013 Jan |
Date Detail:
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Created Date: 2013-1-8 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9882736 Medline TA: Langmuir Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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