bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.10.01.616187

Atomic-Level Investigation of KCNJ2 Mutations Associated with Ventricular Arrhythmic Syndrome Phenotypes

Abstract

KCNJ2 encodes the inward rectifying potassium channel (Kir2.1) that creates IK1 which maintains the cardiac resting membrane potential and regulates excitability. Mutations in KCNJ2 have been linked to several clinical phenotypes associated with ventricular arrhythmia and sudden death including Andersen-Tawil syndrome (ATS) related to loss of function mutations and Short QT Syndrome 3 related to gain of function mutations. Detailed structural-functional relationships to explain the arrhythmia phenotypes are understudied and limit the capacity to provide precision medicine. Here, we combine in-depth and complementary computational molecular modeling techniques with functional analysis from three patients with ATS that harbor KCNJ2 mutations R67Q, R218L, and G300D. Whole-cell patch-clamp experiments revealed loss of function in homomeric mutant channels. Full-length Kir2.1 models were developed for structure-based investigation, and mutations were introduced in both open and closed conformations. Site-directed mutagenesis identified altered interaction profiles contributing to structural perturbations. Molecular dynamics simulations assessed the impact of each mutation on overall channel conformation and stability. Principal component analysis and normal mode analysis revealed mutation-specific structural perturbations. These findings extend beyond previous studies, offering atomic-level characterization of mutation-specific perturbations. Our multifaceted approach provides first atomic-level insights into the molecular mechanisms underlying ATS, paving the way for targeted therapeutic strategies. Study Highlights1) Clinical mutation analysis confirmed loss-of-function. 2) Mutation analysis revealed that these clinical mutations dramatically alter the interaction pattern of the mutated residue and subsequently disturbs channel stability. 3) The molecular dynamics based RMSD and RMSF evaluations show that the open conformation state of the channel is more stable comparative to the closed state however, the mutations impact channel conformations regardless of conductance state. 4) The PCA (principal component analysis) and PCA based NM (normal mode) analysis revealed that these clinical KCNJ2 mutations caused significant conformational changes, even distant from the specific residue. 4) This study is the first extensive in silico and experimental analysis of KCNJ2 clinical mutations that start from the arrhythmia phenotype and lead to an in-depth atomic-level investigation. These newly resolved features pave the way towards a better understanding of the molecular disease mechanism and new therapeutic strategies.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Munawar, S., Anderson, C. L., Reilly, L., Woltz, R. L., Kayani, Y. S., Chiamvimonvat, N., Eckhardt, L. L.. 2024-10-03. Atomic-Level Investigation of KCNJ2 Mutations Associated with Ventricular Arrhythmic Syndrome Phenotypes. https://doi.org/10.1101/2024.10.01.616187

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A Minimally Perturbative DARPin Probe for Quantitative Fluorescence Imaging of the Human TCR-CD3 Complex

Fluorescence microscopy is a powerful tool for dissecting the molecular mechanisms of T-cell antigen recognition in living cells, but its quantitative insight critically depends on non-perturbative, high-quality probes. Here, we repurpose a small (~15 kDa) CD3epsilon-binding DARPin (designed ankyrin repeat proteins) to a fluorescent label for T-cell receptor (TCR)/CD3 complexes on primary human CD8+ T-cells, with the aim of generating a powerful tool for quantitative analysis, single-molecule tracking, and advanced imaging of TCR dynamics. We show that the DARPin binds CD3{varepsilon} with high affinity and selectivity and using single molecule tracking and brightness analysis, we characterize the TCR-CD3 diffusion behavior and show that the DARPin binds to both CD3epsilon; subunits. Importantly, labeling preserves antigen sensitivity: on supported lipid bilayers presenting cognate pMHC, T-cells remain responsive, assemble synapses, form TCR microclusters, and initiate signaling similar to unlabeled controls. We further demonstrate compatibility with lattice light-sheet microscopy for volumetric imaging of T-cell - APC interactions in living cells. Together, these results establish DARPins as versatile, minimally perturbative probes for high resolution, quantitative studies of T cell synapse organization and signaling.

biophysics↗

Monitoring intramolecular dynamics across two regions of the mouse prion protein during misfolding and oligomerization using fluorescence correlation spectroscopy

It is important to determine whether native state dynamics drive the misfolding and oligomerization of the prion protein, which are important events in prion disease, and how they are modulated by conformational conversion. Native (N) mouse prion protein (moPrP) is known to form small (OS) and large (OL) oligomers rich in {beta}-sheet, and in this study, photoinduced electron transfer-fluorescence correlation spectroscopy (PET-FCS) has been used to characterize intramolecular dynamics within individual monomeric units in both isolated OS and OL, as well as the diffusion properties of the oligomers. It is estimated that OS and OL comprise of about 15 and 55 monomeric units, respectively. Microsecond dynamics at each of the two regions that are the 1-3 and 2-3 interfaces of native protein are distinct in N, OS and OL, although they occur on very similar timescales. Analysis of the evolution of the distribution of diffusion times, determined using the maximum entropy method, indicates heterogeneity in the oligomerization reaction. Analysis of the change in the fluctuations which occur in two different timescales in the native state ensemble shows that they are damped more at the erstwhile 1-3 interface than the erstwhile 2-3 interface. The difference in the extent of damping at the erstwhile 1-3 and 2-3 interfaces can be explained on the basis of the structural changes known to occur across each region. The changes in dynamics occur concurrently in both regions, indicating that the structural changes accompanying conformational conversion also occur simultaneously during the oligomerization of moPrP.

biophysics↗

Combining CHARMM36m with OPC water improves accuracy

Atomistic simulations of intrinsically disordered proteins (IDPs) are notoriously sensitive to force field inaccuracies, either regarding the protein or the water model, yielding inaccurate observables such as compactness, secondary structure propensities, or kinetics. The currently most widely used IDP force fields are Amber99sb-disp (A99disp) and Charmm36m (C36m). A99disp includes a new water model and thus optimized both, the protein and the water interactions. In contrast, C36m used the Tip3p water model and optimized only protein interactions. In many cases, C36m+Tip3p underestimates radii of gyration compared to FRET or SAXS experiments. Such overly compact structural ensembles are believed to arise from an imbalance between protein-protein, protein-water, and water-water interactions, which might be due to Tip3p inaccuracies. Here, we aim at re-balancing these interactions by combining C36m with the Optimal Point Charge (OPC) water model. Recently, this C36m+OPC combination showed improved accuracy for the disordered domain of the measles virus nucleoprotein. Here we present a systematic assessment, comparing C36m+OPC, C36m+Tip3p, C36m+Tip4p, C22*, A03ws, A99sb-ws, and A99disp for five IDPs, as well as a subset of those for five globular proteins, a set of disordered AGQ-repeat peptides, and the fast folding miniprotein CLN025. We compared extensive MD simulations (> 8.5 ms) with SAXS, NMR, circular dichroism, photo-induced electron transfer (PET), T-jump infrared spectroscopy, and X-ray crystallography measurements. We found that combining C36m with OPC improved accuracy over C36m+Tip3p for IDP ensembles without compromising its accuracy for globular proteins. While also the kinetics of the AGQ-peptides were more accurate for C36m+OPC, those of CLN025 folding were less accurate. Overall, C36m+OPC showed similar accuracy as A99sb-ws and A99disp, the latter is currently considered among the most accurate protein force fields.

biophysics↗