{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Garcia GC"],"funding":["National Research Fund of Luxembourg","Foundation for the National Institutes of Health","Foundation for the National Institutes of Health, United States","NIGMS NIH HHS","NIH HHS"],"pagination":["18306"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6893035"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["Mitochondria as the main energy suppliers of eukaryotic cells are highly dynamic organelles that fuse, divide and are transported along the cytoskeleton to ensure cellular energy homeostasis. While these processes are well established, substantial evidence indicates that the internal structure is also highly variable in dependence on metabolic conditions. However, a quantitative mechanistic understanding of how mitochondrial morphology affects energetic states is still elusive. To address this question, we here present an agent-based multiscale model that integrates three-dimensional morphologies from electron microscopy tomography with the molecular dynamics of the main ATP producing components. We apply our modeling approach to mitochondria at the synapse which is the largest energy cons"],"journal":["Scientific reports"],"pubmed_title":["Mitochondrial morphology provides a mechanism for energy buffering at synapses."],"pmcid":["PMC6893035"],"funding_grant_id":["S10 OD021784","R01DA038896","P41 GM103412","P41GM103426","AFR 9984574"],"pubmed_authors":["Bushong EA","Ellisman MH","Phan S","Perkins G","Bartol TM","Skupin A","Garcia GC","Sejnowski TJ"],"additional_accession":[]},"is_claimable":false,"name":"Mitochondrial morphology provides a mechanism for energy buffering at synapses.","description":"Mitochondria as the main energy suppliers of eukaryotic cells are highly dynamic organelles that fuse, divide and are transported along the cytoskeleton to ensure cellular energy homeostasis. While these processes are well established, substantial evidence indicates that the internal structure is also highly variable in dependence on metabolic conditions. However, a quantitative mechanistic understanding of how mitochondrial morphology affects energetic states is still elusive. To address this question, we here present an agent-based multiscale model that integrates three-dimensional morphologies from electron microscopy tomography with the molecular dynamics of the main ATP producing components. We apply our modeling approach to mitochondria at the synapse which is the largest energy cons","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Dec","modification":"2025-05-29T19:06:44.151Z","creation":"2025-05-29T19:06:44.151Z"},"accession":"S-EPMC6893035","cross_references":{"pubmed":["31797946"],"doi":["10.1038/s41598-019-54159-1"]}}