bioRxiv · 10.1101/2024.09.11.612425
Integrative Molecular Dynamics Simulations Untangle Cross-Linking Data to Unveil Mitochondrial Protein Distributions
Abstract
Cross-linking mass spectrometry (XL-MS) enables the mapping of protein-protein interactions on the cellular level. When applied to all compartments of mitochondria, the sheer number of cross-links and connections can be over-whelming, rendering simple cluster analyses convoluted and uninformative. To address this limitation, we integrate the XL-MS data, 3D electron microscopy data, and localization annotations with a supra coarse-grained molecular dynamics simulation to sort all data, making clusters more accessible and interpretable. In the context of mitochondria, this method, through a total of 6.9 milliseconds of simulations, successfully identifies known, suggests unknown protein clusters, and reveals the distribution of inner mitochondrial membrane proteins allowing a more precise localization within compartments. Our integrative approach suggests, that two so-far ambigiously placed proteins FAM162A and TMEM126A are localized in the cristae, which is validated through super resolution microscopy. Together, this demonstrates the strong potential of the presented approach. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/612425v2_ufig1.gif" ALT="Figure 1"> View larger version (74K): org.highwire.dtl.DTLVardef@1a3236dorg.highwire.dtl.DTLVardef@16ad120org.highwire.dtl.DTLVardef@1c79bfdorg.highwire.dtl.DTLVardef@1d20e51_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOEntry for the Table of ContentsC_FLOATNO The approach combines cross-linking mass spectrometry, electron microscopy, and coarse-grained molecular dynamics simulations to map protein-protein interactions in mitochondria. This integration makes complex data clusters accessible, revealing protein distributions and localizations. Notably, it allows the localization of FAM162A and TMEM126A through super-resolution microscopy, showcasing the synergy of experimental and computational methods. C_FIG
Source connections
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Schuhmann, F., Akkaya, K. C., Puchkov, D., Lehmann, M., Liu, F., Pezeshkian, W.. 2024-09-13. Integrative Molecular Dynamics Simulations Untangle Cross-Linking Data to Unveil Mitochondrial Protein Distributions. https://doi.org/10.1101/2024.09.11.612425
Cite the original work for its findings. Save a collection to share your selection of sources.