Native nanoproteomics captures the structure and dynamics of endogenous protein complexes in human heart tissue
Chapman, E. A.; Roberts, D. S.; Tiambeng, T. N.; Andrews, J.; Wang, M.-D.; Reasoner, E. A.; Melby, J. A.; Li, B. H.; Kim, D.; Alpert, A. J.; Jin, S.; Ge, Y.
Show abstract
Protein complexes are highly dynamic entities that display substantial diversity in their assembly, post-translational modifications, and non-covalent interactions, allowing them to play critical roles in various biological processes. The heterogeneity, dynamic nature, and low abundance of protein complexes in their native states present tremendous challenges to study using conventional structural biology techniques. Here we develop a "native nanoproteomics" strategy for the native enrichment and subsequent native top-down mass spectrometry (nTDMS) of of low-abundance protein complexes. Specifically, we demonstrate the first comprehensive characterization of the structure and dynamics of cardiac troponin (cTn) complexes directly from human heart tissue. The endogenous cTn complex is effectively enriched and purified using peptide-functionalized superparamagnetic nanoparticles under non-denaturing conditions to enable the isotopic resolution of cTn complexes, revealing their complex structure and assembly. Moreover, nTDMS elucidates the stoichiometry and composition of the heterotrimeric cTn complex, localizes Ca2+ binding domains (II-IV), defines cTn-Ca2+ binding dynamics, and provides high-resolution mapping of the proteoform landscape. This native nanoproteomics strategy opens a new paradigm for structural characterization of low-abundance native protein complexes.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Structural O-Glycoform Heterogeneity of the SARS-CoV-2 Spike Protein Receptor-Binding Domain Revealed by Native Top-Down Mass Spectrometry 95%
- Profiling proteins involved in peroxynitrite homeostasis using ROS/RNS conditional proteomics 94%
- Abnormal (hydroxy)prolines deuterium content redefines hydrogen chemical mass 94%
Similar papers in this journal
- Trioxane-based MS-cleavable Cross-linking Mass Spectrometry for Profiling Multimeric Interactions of Cellular Networks 97%
- Deep MALDI-MS Spatial Omics guided by Quantum Cascade Laser Mid-infrared Imaging Microscopy 96%
- Implementing N-terminomics and machine learning to probe in vivo Nt-arginylation 96%
Similar papers in this journal
- HDfleX: Software for flexible high structural resolution of hydrogen/deuterium-exchange mass spectrometry data 95%
- Cross-linking/Mass Spectrometry Combined with Ion Mobility on a timsTOF Pro Instrument for Structural Proteomics 94%
- Native Top-Down Proteomics of Endogenous Protein Complexes Enabled by Online Two-Dimensional Liquid Chromatography 94%
Similar papers in this journal
- Polymorphic α-Glucans as Structural Scaffolds in Cryptococcus Cell Walls for Chitin, Capsule, and Melanin: Insights from 13C and 1H Solid-State NMR 92%
- PIA SSN: Parallel Image Acquisition and Spatial Similarity Network for Tandem Mass Spectrometry Imaging 92%
- Top-Down Individual Ion Mass Spectrometry Reveals 85-110 kDa Catenin Phospho-Proteoforms Regulated by Actomyosin Contractility 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.