Biology subjects

DeKeyser, J.-M.

Publications and source records attributed to DeKeyser, J.-M..

10 recordsLinked to original sources

bioRxiv2026

An upstream open reading frame represses translation of the neuronal potassium channel KCNQ2

Upstream open reading frames (uORFs) within the 5-untranslated region (5-UTR) of mRNA transcripts can regulate protein translation. Despite widespread prevalence within the human genome, they remain unidentified for many clinically relevant genes. A gene frequently associated with neonatal-onset epilepsy is KCNQ2, which encodes a neuronal voltage-gated potassium channel subunit that functions to dampen neuronal excitability. Heterozygous loss-of-function pathogenic KCNQ2 variants are known to cause a range of neurodevelopmental disorders and epileptic encephalopathies, but there remains an unmet clinical need for patients harboring these variants. We identified a single uORF in KCNQ2 that is highly repressive of protein translation and demonstrated that mutations disabling the uORF start codon enhance translation of encoded potassium channels. Additionally, we show that adenine base editing of the uORF start codon can weaken ribosome engagement at the uORF and enhance translation of the protein in a neuron-like cell line. This study establishes a previously underexplored regulatory feature for KCNQ2 and highlights the importance of understanding uORFs for clinically relevant genes, both for assessing disease risk and therapeutic potential.

molecular biology↗

bioRxiv2025

Classification models distinguish functional and trafficking effects of KCNQ1 variants to enhance variant interpretation

Missense mutations compromise protein fitness by altering stability and function, which can lead to various clinical disease states. The potassium ion channel KCNQ1 underlies the majority of congenital long QT syndrome (LQTS) cases, one of the most common genetic arrhythmia syndromes. During genetic testing for LQTS, variants of uncertain significance (VUS) confound diagnosis and clinical management. KCNQ1 protein fitness metrics enable mechanistic classification of variants, directly informing the molecular basis for dysfunction and providing clinical interpretation of variants linked to LQTS and other channelopathies. We developed structure-aware random forest classifier models to predict seven metrics of KCNQ1 fitness, four functional electrophysiology measurements (peak current density, voltage-dependence, gating kinetics), and three trafficking values measured by flow cytometry. Our trained models outperformed AlphaMissense in predicting protein fitness, enhancing interpretation of ClinVar VUS and variants classified as ambiguous by AlphaMissense. We demonstrate the classifiers distinguish benign and pathogenic variants from ClinVar and gnomAD and identify systematic patterns of dysfunction and mistrafficking along the functionally critical S4 helix. Our method advances variant effect prediction with a mechanistic classifier that reliably links missense mutations in KCNQ1 to their specific disease-causing mechanisms. As a resource for precision medicine approaches for LQTS or other KCNQ1 channelopathies, we provide the predictions and scores for all KCNQ1 missense variants across the structured region of the protein.

biophysics↗

bioRxiv2024

Differential roles of NaV1.2 and NaV1.6 in neocortical pyramidal cell excitability

Mature neocortical pyramidal cells functionally express two sodium channel (NaV) isoforms: NaV1.2 and NaV1.6. These isoforms are differentially localized to pyramidal cell compartments, and as such are thought to contribute to different aspects of neuronal excitability. But determining their precise roles in pyramidal cell excitability has been hampered by a lack of tools that allow for selective, acute block of each isoform individually. Here, we leveraged aryl sulfonamide-based molecule (ASC) inhibitors of NaV channels that exhibit state-dependent block of both NaV1.2 and NaV1.6, along with knock-in mice with changes in NaV1.2 or NaV1.6 structure that prevents ASC binding. This allowed for acute, potent, and reversible block of individual isoforms that permitted dissection of the unique contributions of NaV1.2 and NaV1.6 in pyramidal cell excitability. Remarkably, block of each isoform had contrasting--and in some situations, opposing--effects on neuronal action potential output, with NaV1.6 block decreasing and NaV1.2 block increasing output. Thus, NaV isoforms have unique roles in regulating different aspects of pyramidal cell excitability, and our work may help guide development of therapeutics designed to temper hyperexcitability through selective NaV isoform blockade.

neuroscience↗

bioRxiv2024

Novel Mouse Model of Alternating Hemiplegia of Childhood Exhibits Prominent Motor and Seizure Phenotypes

Pathogenic variants in ATP1A3 encoding the neuronal Na/K-ATPase cause a spectrum of neurodevelopmental disorders including alternating hemiplegia of childhood (AHC). Three recurrent ATP1A3 variants are associated with approximately half of known AHC cases and mouse models of two of these variants (p.D801N, p.E815K) replicated key features of the human disorder, which include paroxysmal hemiplegia, dystonia and seizures. Epilepsy occurs in 40-50% of individuals affected with AHC, but detailed investigations of seizure phenotypes were limited in the previously reported mouse models. Using gene editing, we generated a novel AHC mouse expressing the third most recurrent ATP1A3 variant (p.G947R) to model neurological phenotypes of the disorder. Heterozygous Atp1a3-G947R (Atp1a3G947R) mice on a pure C57BL/6J background were born at a significantly lower frequency than wildtype (WT) littermates, but in vitro fertilization or outcrossing to a different strain (C3HeB/FeJ) generated offspring at near-Mendelian genotype ratios, suggesting a defect in reproductive fitness rather than embryonic lethality. Heterozygous mutant mice were noticeably smaller and exhibited premature lethality, hyperactivity, anxiety-like behaviors, severe motor dysfunction including low grip strength, impaired coordination with abnormal gait and balance, and cooling-induced hemiplegia and dystonia. We also observed a prominent seizure phenotype with lower thresholds to chemically (flurothyl, kainic acid) and electrically induced seizures, post-handling seizures, sudden death following seizures, and abnormal EEG activity. Together, our findings support face validity of a novel AHC mouse model with quantifiable traits including co-morbid epilepsy that will be useful as an in vivo platform for investigating pathophysiology and testing new therapeutic strategies for this rare neurodevelopmental disorder.

neuroscience↗

bioRxiv2023

Molecular and Cellular Context Influences SCN8A Variant Function

Pathogenic variants in SCN8A, which encodes the voltage-gated sodium (NaV) channel NaV1.6, are associated with neurodevelopmental disorders including epileptic encephalopathy. Previous approaches to determine SCN8A variant function may be confounded by the use of a neonatal-expressed alternatively spliced isoform of NaV1.6 (NaV1.6N), and engineered mutations to render the channel tetrodotoxin (TTX) resistant. In this study, we investigated the impact of SCN8A alternative splicing on variant function by comparing the functional attributes of 15 variants expressed in two developmentally regulated splice isoforms (NaV1.6N, NaV1.6A). We employed automated patch clamp recording to enhance throughput, and developed a novel neuronal cell line (ND7/LoNav) with low levels of endogenous NaV current to obviate the need for TTX-resistance mutations. Expression of NaV1.6N or NaV1.6A in ND7/LoNav cells generated NaV currents that differed significantly in voltage-dependence of activation and inactivation. TTX-resistant versions of both isoforms exhibited significant functional differences compared to the corresponding wild-type (WT) channels. We demonstrated that many of the 15 disease-associated variants studied exhibited isoform-dependent functional effects, and that many of the studied SCN8A variants exhibited functional properties that were not easily classified as either gain- or loss-of-function. Our work illustrates the value of considering molecular and cellular context when investigating SCN8A variants.

neuroscience↗

bioRxiv2023

A Novel Transcription Factor Combination for Direct Reprogramming to a Spontaneously Contracting Human Cardiomyocyte-like State

The reprogramming of somatic cells to a spontaneously contracting cardiomyocyte-like state using defined transcription factors has proven successful in mouse fibroblasts. However, this process has been less successful in human cells, thus limiting the potential clinical applicability of this technology in regenerative medicine. We hypothesized that this issue is due to a lack of cross-species concordance between the required transcription factor combinations for mouse and human cells. To address this issue, we identified novel transcription factor candidates to induce cell conversion between human fibroblasts and cardiomyocytes, using the network-based algorithm Mogrify. We developed an automated, high-throughput method for screening transcription factor, small molecule, and growth factor combinations, utilizing acoustic liquid handling and high-content kinetic imaging cytometry. Using this high-throughput platform, we screened the effect of 4,960 unique transcription factor combinations on direct conversion of 24 patient-specific primary human cardiac fibroblast samples to cardiomyocytes. Our screen revealed the combination of MYOCD, SMAD6, and TBX20 (MST) as the most successful direct reprogramming combination, which consistently produced up to 40% TNNT2+ cells in just 25 days. Addition of FGF2 and XAV939 to the MST cocktail resulted in reprogrammed cells with spontaneous contraction and cardiomyocyte-like calcium transients. Gene expression profiling of the reprogrammed cells also revealed the expression of cardiomyocyte associated genes. Together, these findings indicate that cardiac direct reprogramming in human cells can be achieved at similar levels to those attained in mouse fibroblasts. This progress represents a step forward towards the clinical application of the cardiac direct reprogramming approach. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/532629v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@17d6539org.highwire.dtl.DTLVardef@180a0b8org.highwire.dtl.DTLVardef@1b7cb46org.highwire.dtl.DTLVardef@182618b_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIUsing network-based algorithm Mogrify, acoustic liquid handling, and high-content kinetic imaging cytometry we screened the effect of 4,960 unique transcription factor combinations. C_LIO_LIUsing 24 patient-specific human fibroblast samples we identified the combination of MYOCD, SMAD6, and TBX20 (MST) as the most successful direct reprogramming combination. C_LIO_LIMST cocktail results in reprogrammed cells with spontaneous contraction, cardiomyocyte-like calcium transients, and expression of cardiomyocyte associated genes. C_LI

cell biology↗

bioRxiv2023

Epilepsy-associated SCN2A (Nav1.2) Variants Exhibit Diverse and Complex Functional Properties

Pathogenic variants in neuronal voltage-gated sodium (NaV) channel genes including SCN2A, which encodes NaV1.2, are frequently discovered in neurodevelopmental disorders with and without epilepsy. SCN2A is also a high confidence risk gene for autism spectrum disorder (ASD) and nonsyndromic intellectual disability (ID). Previous work to determine the functional consequences of SCN2A variants yielded a paradigm in which predominantly gain-of-function (GoF) variants cause epilepsy whereas loss-of-function (LoF) variants are associated with ASD and ID. However, this framework is based on a limited number of functional studies conducted under heterogenous experimental conditions whereas most disease-associated SCN2A variants have not been functionally annotated. We determined the functional properties of more than 30 SCN2A variants using automated patch clamp recording to assess the analytical validity of this approach and to examine whether a binary classification of variant dysfunction is evident in a larger cohort studied under uniform conditions. We studied 28 disease-associated variants and 4 common population variants using two distinct alternatively spliced forms of NaV1.2 that were heterologously expressed in HEK293T cells. Multiple biophysical parameters were assessed on 5,858 individual cells. We found that automated patch clamp recording provided a valid high throughput method to ascertain detailed functional properties of NaV1.2 variants with concordant findings for a subset of variants that were previously studied using manual patch clamp. Additionally, many epilepsy-associated variants in our study exhibited complex patterns of gain- and loss-of-function properties that are difficult to classify overall by a simple binary scheme. The higher throughput achievable with automated patch clamp enables study of a larger number of variants, greater standardization of recording conditions, freedom from operator bias, and enhanced experimental rigor valuable for accurate assessment of NaV channel variant dysfunction. Together, this approach will enhance our ability to discern relationships between variant channel dysfunction and neurodevelopmental disorders.

neuroscience↗

bioRxiv2020

Cryptic prokaryotic promoters explain instability of recombinant neuronal sodium channels in bacteria

Mutations in genes encoding the human brain-expressed voltage-gated sodium (NaV) channels NaV1.1, NaV1.2, and NaV1.6 are associated with a variety of human diseases including epilepsy, autism spectrum disorder, familial migraine, and other neurodevelopmental disorders. A major obstacle hindering investigations of the functional consequences of brain NaV channel mutations is an unexplained instability of the corresponding recombinant complementary DNA (cDNA) when propagated in commonly used bacterial strains manifested by high spontaneous rates of mutation. Here we investigated the cause for instability of human NaV1.1 cDNA. We identified cryptic prokaryotic promoter-like elements that are presumed to drive transcription of translationally toxic mRNAs in bacteria as the cause of the instability, and demonstrated that mutations in these elements can mitigate the instability. Extending these observations, we generated full-length human NaV1.1, NaV1.2, and NaV1.6 plasmids using one or two introns that interrupt the cryptic reading frames along with a minimum number of silent nucleotide changes that achieved stable propagation in bacteria. Expression of the stabilized sequences in cultured mammalian cells resulted in functional NaV channels with properties that matched their parental constructs. Our findings explain a widely observed instability of recombinant neuronal human NaV channels, and we describe re-engineered plasmids that attenuate this problem.

neuroscience↗

bioRxiv2019

Negligible-Cost and Weekend-Free Chemically Defined Human iPSC Culture

Human induced pluripotent stem cell (hiPSC) culture has become routine, yet pluripotent cell media costs, frequent media changes, and reproducibility of differentiation have remained restrictive, limiting the potential for large-scale projects. Here, we describe the formulation of a novel hiPSC culture medium (B8) as a result of the exhaustive optimization of medium constituents and concentrations, establishing the necessity and relative contributions of each component to the pluripotent state and cell proliferation. B8 eliminates 97% of the costs of commercial media, made possible primarily by the in-lab generation of three E. coli-expressed, codon-optimized recombinant proteins: an engineered form of fibroblast growth factor 2 (FGF2) with improved thermostability (FGF2-G3); transforming growth factor {beta}3 (TGF{beta}3) - a more potent TGF{beta} able to be expressed in E. coli; and a derivative of neuregulin 1 (NRG1) containing the EGF-like domain. The B8 formula is specifically optimized for fast growth and robustness at low seeding densities. We demonstrated the derivation and culture of 34 hiPSC lines in B8 as well as maintenance of pluripotency long-term (over 100 passages). This formula also allows a weekend-free feeding schedule without sacrificing growth rate or capacity for differentiation. Thus, this simple, cost-effective, and open source B8 media, will enable large hiPSC disease modeling projects such as those being performed in pharmacogenomics and large-scale cell production required for regenerative medicine.

cell biology↗

bioRxiv2017

High Throughput Functional Evaluation of KCNQ1 Decrypts Variants of Unknown Significance

BackgroundThe explosive growth in known human gene variation presents enormous challenges to current approaches for variant classification that impact diagnosis and treatment of many genetic diseases. For disorders caused by mutations in cardiac ion channels, such as congenital long-QT syndrome (LQTS), in vitro electrophysiological evidence has high value in discriminating pathogenic from benign variants, but these data are often lacking because assays are cost-, time- and labor-intensive.\n\nMethods and ResultsWe implemented a strategy for performing high throughput, functional evaluations of ion channel variants that repurposed an automated electrophysiology platform developed previously for drug discovery. We demonstrated success of this approach by evaluating 78 variants in KCNQ1, a major LQTS gene. We benchmarked our results with traditional electrophysiological approaches and observed a high level of concordance. Our results provided functional data useful for classifying ~70% of previously unstudied KCNQ1 variants annotated with uninformative descriptions in the public database ClinVar. Further, we show that rare and ultra-rare KCNQ1 variants in the general population exhibit functional properties ranging from normal to severe loss-of-function indicating that allele frequency is not a reliable predictor of channel function.\n\nConclusionsOur results illustrate an efficient and high throughput paradigm linking genotype to function for a human cardiac channelopathy that will enable data-driven classification of large numbers of variants and create new opportunities for precision medicine.

genetics↗