Biology subjects

Xing, X.

Publications and source records attributed to Xing, X..

At least 55 records · Page 3Linked to original sources

bioRxiv2022

Genome-Wide Epigenomic Profiling of Primary Non-Small Cell Lung Cancer Reveals Specific and Recurrent DNA Methylation Alterations in Smoker Versus Never-Smoker Patients

Epigenetic alterations are widespread in cancer and can complement genetic alterations to influence cancer progression and treatment. To better understand the potential contribution of DNA methylation alterations to tumor phenotype in non-small cell lung cancer (NSCLC) in both smoker and never-smoker patients, we performed a comprehensive, genome-wide profiling of DNA methylation in 17 primary non-small cell lung cancer and 10 matched normal lung samples using the complementary methylation assays MeDIP-seq and MRE-seq. Compared to patient-matched non-malignant lung tissue, we report recurrent methylation changes of several gene promoters, many previously implicated in cancer, including FAM83A and SEPT9 (hypomethylation), and PCDH7, NKX2-1, and SOX17 (hypermethylation). Although smoker and never-smoker patients shared many methylation changes, several were specific and recurrent within a particular smoking status. In particular, never-smokers displayed a greater proportion of hypoDMRs and exhibited a greater number of recurrently hypomethylated promoters, including the promoter of the oncogene ASPSCR1, and others previously linked to cancer, including TOP2A, DPP9, and USP39. Methylation changes outside of promoters were also widespread and often recurrent, particularly the loss of methylation over repetitive elements, highly enriched for ERV1 subfamilies. Recurrent hypoDMRs were also enriched for several transcription factor (TF) binding motifs, often for genes involved in signaling and cell proliferation, including 71% encoding a binding site of NKX2-1, which was found to be significantly upregulated in TCGA LUAD samples. Furthermore, the overwhelming majority of DMRs identified in this study were found to reside in an active chromatin state in at least one tissue profiled using the Roadmap Epigenome data, suggesting that methylation changes may contribute to altered regulatory programs through the adaptation of cell type-specific expression programs.

cancer biology↗

bioRxiv2022

Embryonic Vitamin D Deficiency Programs Hematopoietic Stem Cells to Induce Type 2 Diabetes

Environmental factors may alter the fetal genome to cause metabolic diseases. It is unknown whether embryonic immune cell programming impacts the risk of type 2 diabetes in later life. We demonstrate that transplantation of fetal hematopoietic stem cells (HSCs) made vitamin D deficient in utero induces diabetes in vitamin D-sufficient mice. Vitamin D deficiency epigenetically suppresses Jarid2 expression and activates the Mef2/PGC1a pathway in HSCs, which persists in recipient bone marrow, resulting in adipose macrophage infiltration. These macrophages secrete miR106-5p, which promotes adipose insulin resistance by repressing PIK3 catalytic subunit alpha and AKT signaling. Vitamin D-deficient monocytes from human cord blood have comparable Jarid2/Mef2/PGC1a expression changes and secrete miR-106b-5p, causing adipocyte insulin resistance. These findings suggest that vitamin D deficiency during development has epigenetic consequences impacting the systemic metabolic milieu.

physiology↗

bioRxiv2022

Detection of Frog virus 3 via the system integrating RPA-CRISPR/Cas12a-SPM with deep learning

Frog virus 3 (FV3, genera Ranavirus, family Iridoviridae), a double-stranded DNA virus, results in irreparable damage to biodiversity and significant economic losses to aquaculture. Although the existing FV3 detection methods are of high sensitivity and specificity, the complex procedure and requirement of expensive instruments limit their practical implantation. Herein, we develop a fast, easy-to-implement, highly sensitive, and point-of-care (POC) detection system for FV3. Combining recombinase polymerase amplification (RPA) and CRISPR/Cas12a, we achieve a limit of detection (LoD) of 100 aM (60.2 copies/L) by optimizing RPA primers and CRISPR RNAs (crRNAs). For POC detection, we build a smartphone microscopy (SPM) and achieve an LoD of 10 aM within 40 minutes. Four positive animal-derived samples with a quantitation cycle (Cq) value of quantitative PCR (qPCR) in the range of 13 to 32 are detectable by the proposed system. In addition, we deploy deep learning models for binary classification (positive or negative samples) and multiclass classification (different concentrations of FV3 and negative samples), achieving 100% and 98.75% accuracy, respectively. Without temperature regulation and expensive equipment, RPA-CRISPR/Cas12a combined with a smartphone readout and artificial intelligence (AI) assisted classification shows great potential for FV3 detection. This integrated system holds great promise for POC detection of aquatic DNA pathogens. HighlightsO_LIAn integrated DNA detection system is developed by combining RPA, CRISPR/Cas12a, smartphone microscopy, and deep learning. C_LIO_LIThe LoD of frog virus 3 is 10 aM within 40 min. C_LIO_LIThe detection system shows good performance on animal-derived samples. C_LI

molecular biology↗

bioRxiv2022

Impaired bone strength and bone microstructure in a novel early-onset osteoporotic rat model with a clinically relevant PLS3 mutation

Osteoporosis is a highly prevalent disorder with a strong genetic component. Recent studies identify PLS3 as a novel bone regulator of bone metabolism and PLS3 mutations lead to a rare monogenic early-onset osteoporosis. However, the mechanism of PLS3 mutation leading to osteoporosis is unknown with no animal models carrying patient-derived PLS3 mutations generated. The effective treatment strategies for PLS3-related have not been established. Here we have constructed a novel rat model with clinically relevant hemizygous E10-16del mutation of PLS3 (PLS3E10-16del/0) that recapitulate the osteoporotic phenotypes with obviously thinner cortical thickness, significant decreases in yield load, maximum load, and breaking load of femora at 3, 6, 9 months compared to WT rats. Histomorphometric analysis indicates a significantly lower mineral apposition rate in PLS3E10-16del/0rats. Treatment with alendronate (ALN, 1.0 ug/kg per day) or teriparatide (TPTD, 40ug/kg five times weekly) for 8 weeks significantly improved bone mass and bone microarchitecture, and bone strength was significantly increased after TPTD treatment (P < 0.05). Thus, our results indicate the roles of PLS3 in the regulation of bone microstructure and bone strength, providing a novel animal model for the study of early-onset osteoporosis. Alendronate and teriparatide treatment could be a potential treatment for early-onset osteoporosis induced by PLS3 mutation.

genetics↗

bioRxiv2022

Methamphetamine induced regional-specific transcriptomic and epigenetic changes in the rat brain

BackgroundMethamphetamine (METH) is a highly addictive central nervous system stimulant. Chronic use of METH is associated with multiple neurological and psychiatric disorders. An overdose of METH can cause brain damage and even death. Mounting evidence indicates that epigenetic changes and functional impairment in the brain occur due to addictive drug exposures. However, the responses of different brain regions to a METH overdose remain unclear. ResultsWe investigated the transcriptomic and epigenetic responses to a METH overdose in four regions of the rat brain, including the nucleus accumbens, dentate gyrus, Ammons horn, and subventricular zone. We found that 24 hours after METH overdose, 15.6% of genes showed changes in expression and 27.6% of open chromatin regions exhibited altered chromatin accessibility in all four rat brain regions. Interestingly, only a few of those differentially expressed genes and differentially accessible regions were affected simultaneously. Among four rat brain regions analyzed, 149 transcription factors and 31 epigenetic factors were significantly affected by METH overdose. METH overdose also resulted in opposite-direction changes in regulation patterns of both gene and chromatin accessibility between the dentate gyrus and Ammons horn. Approximately 70% of chromatin-accessible regions with METH-induced alterations in the rat brain are conserved at the sequence level in the human genome, and they are highly enriched in neurological processes. Many of these conserved regions are active brain-specific enhancers and harbor SNPs associated with human neurological functions and diseases. ConclusionOur results indicate strong region-specific transcriptomic and epigenetic responses to a METH overdose in distinct rat brain regions. We describe the conservation of region-specific gene regulatory networks associated with METH overdose. Overall, our study provides clues toward a better understanding of the molecular responses to METH overdose in the human brain.

bioinformatics↗

bioRxiv2022

Widespread contribution of transposable elements to the rewiring of mammalian 3D genomes and gene regulation

Transposable elements (TEs) are major contributors of genetic material in mammalian genomes. These often include binding sites for architectural proteins, including the multifarious master protein, CTCF. These TE-derived architectural protein binding sites shape the 3D genome by creating loops, domains, and compartments borders as well as RNA-DNA chromatin interactions, all of which play a role in the compact packaging of DNA in the nucleus and have the potential to facilitate regulatory function. In this study, we explore the widespread contribution of TEs to mammalian 3D genomes by quantifying the extent to which they give rise to loops and domain border differences across various cell types and species using a variety of 3D genome mapping technologies. We show that specific (sub-)families of TEs have significantly contributed to lineage-specific 3D chromatin structures in specific mammals. In many cases, these loops have the potential to facilitate interaction between distant cis-regulatory elements and target genes, and domains have the potential to segregate chromatin state to impact gene expression in a lineage-specific and cell-type-specific manner. Backing our extensive conformation study cataloguing and computational analyses, we perform experimental validation using CRISPR-Cas9 to delete one such candidate TE and show disruption of species-specific 3D chromatin structure. Taken together, we comprehensively quantify and selectively validate our finding that TEs contribute significantly to 3D genome organization and continuously shape it to affect gene regulation during the course of mammalian evolution over deep time.

genomics↗

bioRxiv2022

Gut bacterial nutrient preferences quantified in vivo

Great progress has been made in understanding gut microbiomes products and their effects on health and disease. Less attention, however, has been given to the inputs that gut bacteria consume. Here we quantitatively examine inputs and outputs of the mouse gut microbiome, using isotope tracing. The main input to microbial carbohydrate fermentation is dietary fiber, and to branched-chain fatty acids and aromatic metabolites is dietary protein. In addition, circulating host lactate, 3-hydroxybutyrate and urea (but not glucose or amino acids) feed the gut microbiome. To determine nutrient preferences across bacteria, we traced into genus-specific bacterial protein sequences. We find systematic differences in nutrient use: Most genera in the phylum Firmicutes prefer dietary protein, Bacteroides dietary fiber, and Akkermansia circulating host lactate. Such preferences correlate with microbiome composition changes in response to dietary modifications. Thus, diet shapes the microbiome by promoting the growth of bacteria that preferentially use the ingested nutrients.

molecular biology↗

bioRxiv2022

Genomic insights into the phylogeny and biomass-degrading enzymes of rumen ciliates

Understanding the biodiversity and genetics of the gut microbiome has important implications for host physiology. One underexplored and elusive group is ciliated protozoa, which play crucial roles in regulating gut microbial interactions. Integrating single-cell sequencing and an assembly-and-identification pipeline, we acquired 52 high-quality ciliate genomes of 22 rumen morphospecies for all major abundant clades. With these genomes, we firstly resolved the taxonomic and phylogenetic framework that reclassified them into 19 species spanning 13 genera and reassigned the genus Dasytricha from Isotrichidae to a new family Dasytrichidae. Via extensive horizontal gene transfer and gene family expansion, rumen ciliates possess a broad array of enzymes to synergistically degrade plant and microbial carbohydrates. In particular, [~]80% of the degrading enzymes in Diplodiniinae and Ophryoscolecinae act on plant cell wall, and the high activities of their cellulase, xylanase and lysozyme reflect the potential of ciliate enzymes for biomass-conversion. Additionally, the new ciliate dataset greatly facilitated the rumen metagenomic analyses by allowing [~]12% of reads to be classified.

microbiology↗

bioRxiv2022

Abnormal larval neuromuscular junction morphology and physiology in Drosophila Prickle isoform mutants with defective axonal transport and adult seizure behavior

Previous studies have demonstrated that mutations of the Drosophila planar cell polarity gene prickle (pk) result in altered microtubule-mediated vesicular transport in larval motor axons, as well as adult neuronal circuit hyperexcitability and epileptic behavior. It is also known that mutant alleles of the prickle-prickle (pkpk) and prickle-spiny-legs (pksple) isoforms differ in phenotype but display isoform counterbalancing effects in heteroallelic pkpk/pksple flies to ameliorate adult motor circuit and behavioral hyperexcitability. We have further investigated the larval neuromuscular junction (NMJ) and uncovered robust phenotypes in both pkpk and pksple alleles (heretofore referred to as pk and sple alleles, respectively), including synaptic terminal overgrowth, as well as irregular motor axon terminal excitability, poor vesicle release synchronicity, and altered efficacy of synaptic transmission. We observed significant increase in whole-cell excitatory junctional potential (EJP) in pk homozygotes, which was restored to near WT level in pk/sple heterozygotes. We further examined motor terminal excitability sustained by presynaptic Ca2+ channels, under the condition of pharmacological blockade of Na+ and K+ channel function. Such manipulation revealed extreme Ca2+ channel-dependent nerve terminal excitability in both pk and sple mutants. However, when combined in pk/sple heterozygotes, such terminal hyper-excitability was restored to nearly normal. Focal recording from individual synaptic boutons revealed asynchronous vesicle release in both pk and sple homozygotes, which nevertheless persisted in pk/sple heterozygotes without indications of isoform counter-balancing effects. Similarly, the overgrowth at NMJs was not compensated in pk/sple heterozygotes, exhibiting an extremity comparable to that in pk and sple homozygotes. Our observations uncovered differential roles of the pk and sple isoforms and their distinct interactions in the various structural and functional aspects of the larval NMJ and adult neural circuits.

neuroscience↗

bioRxiv2021

Slow TCA flux implies low ATP production in tumors

The tricarboxylic acid (TCA) cycle oxidizes carbon substrates to carbon dioxide, with the resulting high energy electrons fed into the electron transport chain to produce ATP by oxidative phosphorylation. Healthy tissues derive most of their ATP from oxidative metabolism, and the remainder from glycolysis. The corresponding balance in tumors remains unclear. Tumors upregulate aerobic glycolysis (the Warburg effect), yet they also typically require an intact TCA cycle and electron transport chain1-6. Recent studies have measured which nutrients contribute carbon to the tumor TCA metabolites7,8, but not tumor TCA flux: how fast the cycle turns. Here, we develop and validate an in vivo dynamic isotope tracing-mass spectrometry strategy for TCA flux quantitation, which we apply to all major mouse organs and to five tumor models. We show that, compared to the tissue of origin, tumor TCA flux is markedly suppressed. Complementary glycolytic flux measurements confirm tumor glycolysis acceleration, but the majority of tumor ATP is nevertheless made aerobically, and total tumor ATP production is suppressed compared to healthy tissues. In murine pancreatic cancer, this is accommodated by downregulation of the major energy-using pathway in the healthy exocrine pancreas, protein synthesis. Thus, instead of being hypermetabolic as commonly assumed, tumors apparently make ATP at a lower than normal rate. We propose that, as cells de-differentiate into cancer, they eschew ATP-intensive processes characteristic of the host tissue, and that the resulting suppressed ATP demand contributes to the Warburg effect and facilitates cancer growth in the nutrient-poor tumor microenvironment.

cancer biology↗

bioRxiv2021

Non-lesional and Lesional Lupus Skin Share Inflammatory Phenotypes that Drive Activation of CD16+ Dendritic Cells

Cutaneous lupus erythematosus (CLE) is a disfiguring and poorly understood condition frequently associated with systemic lupus. Studies to date suggest that non-lesional keratinocytes play a role in disease predisposition, but this has not been investigated in a comprehensive manner or in the context of other cell populations. To investigate CLE immunopathogenesis, normal-appearing skin, lesional skin, and circulating immune cells from lupus patients were analyzed via integrated single-cell RNA-sequencing and spatial-seq. We demonstrate that normal-appearing skin of lupus patients represents a type I interferon-rich, prelesional environment that skews gene transcription in all major skin cell types and dramatically distorts cell-cell communication. Further, we show that lupus-enriched CD16+ dendritic cells undergo robust interferon education in the skin, thereby gaining pro-inflammatory phenotypes. Together, our data provide a comprehensive characterization of lesional and non-lesional skin in lupus and identify a role for skin education of CD16+ dendritic cells in CLE pathogenesis.

immunology↗

bioRxiv2021

The First High-Quality Reference Genome of Sika Deer Provides Insights for High-Tannin Adaptation

Sika deer are known to prefer oak leaves, which are rich in tannins and toxic to most mammals; however, the genetic mechanisms underlying their unique ability to adapt to living in the jungle are still unclear. In identifying the mechanism responsible for the tolerance of a highly toxic diet, we have made a major advancement in the elucidation of the genomics of sika deer. We generated the first high-quality, chromosome-level genome assembly of sika deer and measured the correlation between tannin intake and RNA expression in 15 tissues through 180 experiments. Comparative genome analyses showed that the UGT and CYP gene families are functionally involved in the adaptation of sika deer to high-tannin food, especially the expansion of UGT genes in a subfamily. The first chromosome-level assembly and genetic characterization of the tolerance toa highly toxic diet suggest that the sika deer genome will serve as an essential resource for understanding evolutionary events and tannin adaptation. Our study provides a paradigm of comparative expressive genomics that can be applied to the study of unique biological features in non-model animals.

genomics↗

bioRxiv2021

Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features

Alzheimers disease (AD) is a devastating neurological disorder primarily affecting the elderly. An estimated 6.2 million Americans age 65 and older are suffering from Alzheimers dementia today. Brain magnetic resonance imaging (MRI) is widely used for the clinical diagnosis of AD. In the meanwhile, medical researchers have identified 40 risk locus using single-nucleotide polymorphisms (SNPs) information from Genome-wide association study (GWAS) in the past decades. However, existing studies usually treat MRI and GWAS separately. For instance, convolutional neural networks are often trained using MRI for AD diagnosis. GWAS and SNPs are frequently used to identify genomic traits. In this study, we propose a multi-modal AD diagnosis neural network that uses both MRIs and SNPs. The proposed method demonstrates a novel way to use GWAS findings by directly including SNPs in predictive models. We test the proposed methods on the Alzheimers Disease Neuroimaging Initiative dataset. The evaluation results show that the proposed method improves the model performance on AD diagnosis and achieves 93.5% AUC and 96.1% AP, respectively, when patients have both MRI and SNP data. We believe this work brings exciting new insights to GWAS applications and sheds light on future research directions.

neuroscience↗

bioRxiv2021

A spatial and cellular distribution of neurotropic virus infection in the mouse brain revealed by fMOST and single cell RNA-seq

Neurotropic virus infection can cause serious damage to the central nervous system (CNS) in both human and animals. The complexity of the CNS poses unique challenges to investigate the infection of these viruses in the brain using traditional techniques. In this study, we explore the use of fluorescence micro-optical sectioning tomography (fMOST) and single cell RNA sequencing (scRNA-seq) to map the spatial and cellular distribution of a representative neurotropic virus, rabies virus (RABV), in the whole brain. Mice were inoculated with a lethal dose of recombinant RABV expressing enhanced green fluorescent protein (EGFP) under different infection routes, and a three-dimensional view of the distribution of RABV in the whole mouse brain was obtained using fMOST. Meanwhile, we pinpointed the cellular distribution of RABV by utilizing scRNA-seq. Our fMOST data provide the first evidence that RABV can infect multiple nuclei related to fear independent of different infection routes. More surprisingly, scRNA-seq data indicate that besides neurons RABV can infect macrophages and NK cells in vivo. Collectively, this study draws a comprehensively spatial and cellular map of RABV infection in the mouse brain, providing a novel and insightful strategy to investigate the pathogenesis of neurotropic viruses.

microbiology↗

bioRxiv2021

Metabolite discovery through global annotation of untargeted metabolomics data

Liquid chromatography-high resolution mass spectrometry (LC-MS)-based metabolomics aims to identify and quantitate all metabolites, but most LC-MS peaks remain unidentified. Here, we present a global network optimization approach, NetID, to annotate untargeted LC-MS metabolomics data. The approach aims to generate, for all experimentally observed ion peaks, annotations that match the measured masses, retention times, and (when available) MS/MS fragmentation patterns. Peaks are connected based on mass differences reflecting adducting, fragmentation, isotopes, or feasible biochemical transformations. Global optimization generates a single network linking most observed ion peaks, enhances peak assignment accuracy, and produces chemically-informative peak-peak relationships, including for peaks lacking MS/MS spectra. Applying this approach to yeast and mouse data, we identified five novel metabolites (thiamine derivatives and N-glucosyl-taurine). Isotope tracer studies indicate active flux through these metabolites. Thus, NetID applies existing metabolomic knowledge and global optimization to annotate untargeted metabolomics data, revealing novel metabolites.

bioinformatics↗

bioRxiv2020

Multi-Level Attention Graph Neural Network for Clinically Interpretable Pathway-Level Biomarkers Discovery

Precision medicine, regarded as the future of healthcare, is gaining increasing attention these years. As an essential part of precision medicine, clinical omics have been successfully applied in disease diagnosis and prognosis using machine learning techniques. However, existing methods mainly make predictions based on gene-level individual features or their random combinations, none of the previous work has considered the activation of signaling pathways. Therefore, the model interpretability and accuracy are limited, and reasonable signaling pathways are yet to be discovered. In this paper, we propose a novel multi-level attention graph neural network (MLA-GNN), which applies weighted correlation network analysis (WGCNA) to format the omic data of each patient into graph-structured data, and then constructs multi-level graph features, and fuses them through a well-designed multi-level graph feature fully fusion (MGFFF) module to conduct multi-task prediction. Moreover, a novel full-gradient graph saliency mechanism is developed to make the MLA-GNN interpretable. MLA-GNN achieves state-of-the-art performance on transcriptomic data from TCGA-LGG/TCGA-GBM and proteomic data from COVID-19/non-COVID-19 patient sera. More importantly, the proposed model's decision can be interpreted in the signaling pathway level and is consistent with the clinical understanding.

bioinformatics↗

bioRxiv2020

Guidelines for accurate genotyping of SARS-CoV-2 using amplicon-based sequencing of clinical samples

BackgroundSARS-CoV-2 genotyping has been instrumental to monitor virus evolution and transmission during the pandemic. The reliability of the information extracted from the genotyping efforts depends on a number of aspects, including the quality of the input material, applied technology and potential laboratory-specific biases. These variables must be monitored to ensure genotype reliability. The current lack of guidelines for SARS-CoV-2 genotyping leads to inclusion of error-containing genome sequences in studies of viral spread and evolution. ResultsWe used clinical samples and synthetic viral genomes to evaluate the impact of experimental factors, including viral load and sequencing depth, on correct sequence determination using an amplicon-based approach. We found that at least 1000 viral genomes are necessary to confidently detect variants in the genome at frequencies of 10% or higher. The broad applicability of our recommendations was validated in >200 clinical samples from six independent laboratories. The genotypes of clinical isolates with viral load above the recommended threshold cluster by sampling location and period. Our analysis also supports the rise in frequency of 20A.EU1 and 20A.EU2, two recently reported European strains whose dissemination was favoured by travelling during the summer 2020. ConclusionsWe present much-needed recommendations for reliable determination of SARS-CoV-2 genome sequence and demonstrate their broad applicability in a large cohort of clinical samples.

genomics↗

bioRxiv2020

Investigations into modifications of neuromuscular physiology by axonal transport disruptions in Drosophila SOD1 mutants

The reactive oxygen species (ROS)-scavenging enzyme Cu/Zn superoxide dismutase (SOD1) is an evolutionarily conserved mechanism for the maintenance of oxidative homeostasis, and missense mutations in the human SOD1 gene are associated with the motor neuron degenerative disease amyotrophic lateral sclerosis (ALS). Mutations in the Drosophila melanogaster SOD1 gene (Sod) shorten fly lifespan, attenuate motor function, and induce developmental mortality. We have previously found morphological and physiological defects at the neuromuscular junctions (NMJs) of hypomorphic Sodn108 and ALS model SodG85R mutant larvae. Here, we report genetic interactions causing striking modifications of Sod mutant phenotypes by mutations in the gene Prickle (Pk), which are linked to planar cell polarity, epilepsy, and axonal transport disruptions. Pk is expressed as two isoforms prickle-spiny-legs (sple) and prickle-prickle (pk), which are each suppressed by specific hypomorphic mutations (sple1 and pk1). Interestingly, Sod phenotypes are distinctly modified depending on both the Pk isoform suppressed, and whether said suppression is heterozygous or homozygous. Heterozygous sple1 and pk1 improved the developmental survival of Sod mutants, whereas homozygous sple1 and pk1 drastically increased mortality. Further, only heterozygous sple1 and pk1 clearly ameliorated morphological defects at the neuromuscular junctions of Sod mutant larvae. Pharmacological treatment of Sod mutants reveals allele-specific motor neuron terminal hyperexcitability, characterized by synaptic transmissions of extended duration and abnormal presynaptic Ca2+ transients. Heterozygous sple1 mutation suppresses this Sod mutant terminal hyperexcitability, but pk1 does not. We reversed this suppressive effect of sple1 by pharmacological blockade of Ca2+-activated K+ channel slowpoke. Altogether, this study builds on our prior knowledge of Sod mutant development and physiology to show that axonal transport-linked gene mutations strikingly modify Sod mutant phenotypes, providing strong evidence for a role of intracellular transport in alterations of neuromuscular morphology and physiology by SOD1 mutations.

neuroscience↗