Computational results highlight that KCNA5 is under mutational selection in colorectal adenocarcinoma, and that these mutations are likely functional and induce phenotypic effects on tumors.
Abstract
Ion channels regulate cell proliferation, survival and migration, but the functional consequences of many ion channel mutations in cancer are unknown, and electrophysiological characterisation at scale is impractical. Here we use the mutational landscape of colorectal adenocarcinoma as a functional filter to identify potassium channel mutations under selection. A dN/dS screen of 16 potassium channels expressed in the large intestine identified KCNA5 (Kv1.5) as the strongest candidate under positive mutational selection. These mutations cluster in the T1 tetramerisation, S1–S4 voltage-sensor and pore domains, yet avoid the selectivity filter, indicating that selection does not favour loss of conduction. Within the pore region, the observed mutations occupy a biophysical space distinct from known C-type inactivation, activation-gate and toxin-binding mutations. In the voltage sensor, mutations affect gating-charge arginines. In the T1 domain, mutations fall on inter-subunit interfaces conserved across the KCNA family, and saturation mutagenesis energy calculations predict that they destabilise subunit contacts or the folding of the domain. Molecular dynamics simulations of D166N and G128R show loss of coordinated interface dynamics and distortion of the local backbone, respectively. Transcriptomic analysis of KCNA5-mutant tumours shows reduced expression of cell-cycle, KRAS-related and inflammatory pathways, and we observe differences between transcriptional effects induced by T1 and S1-S4 domain mutations. These changes are not reproduced by low KCNA5 expression alone, consistent with an effect specific to the mutant protein. Together, these computational results highlight that KCNA5 is under mutational selection in colorectal adenocarcinoma, and that these mutations are likely functional and induce phenotypic effects on tumors.
This study demonstrates that PKM2 mutations dynamically remodel the binding pocket and allosteric communication to facilitate shikonin recognition, highlighting the newly identified pocket as a promising therapeutic site for future PKM2 targeted drug design.
KCNH voltage-gated potassium channels regulate neuronal excitability, yet how their hallmark cyclic nucleotide-binding homology domains (CNBHDs) influence channel gating to regulate behavior remains unclear. Using an unbiased forward genetic screen in Caenorhabditis elegans, we identified a gain-of-function mutation in...
Xin-Yu Huang, Sudharsan Kannan, Gail A. Robertson et al.· PLoS Genetics· 0 citations
SCN4A encodes the skeletal-muscle voltage-gated sodium channel NaV1.4. Pathogenic variation in this gene produces fundamentally different disease mechanisms, including dominant alpha-pore gain of function, dominant S4 gating-pore currents, and reduced channel availability, with severe biallelic loss of function causing...
P. D'Ambrosio, Lorenzo Cipriano, A. Pugliese et al.· Genes· 0 citations
The epidermal growth factor receptor (EGFR) is a tyrosine kinase receptor that plays a fundamental role in regulating cellular proliferation, survival, and differentiation. EGFR’s kinase domain catalyses the autophosphorylation that drives downstream signalling and is a known hotspot for cancer-associated mutations. Su...
Lorenzo Tulli, A. Lodola, Adrian J. Mulholland et al.· bioRxiv· 0 citations
The rapid expansion of human genomic data has revealed a large number of naturally occurring variants, creating a major challenge for functional annotation. The human metal transporter SLC39A8 (ZIP8) is a clinically important, promiscuous divalent metal transporter, yet most of its documented variants remain uncharacte...
Michael Nikolovski, Tian-Qi Wang, Aaron Sue et al.· bioRxiv· 0 citations
A workflow to functionally evaluate ZIP8 variants by integrating laser ablation inductively coupled plasma time-of-flight mass spectrometry with scaled-up cell-based transport assays is developed and provides new insights into the structure-function relationships of ZIP8.
Michael Nikolovski, Tian-Qi Wang, Aaron Sue et al.· Journal of Biological Chemis...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.