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Kenna, K. P.

Publications and source records attributed to Kenna, K. P..

8 recordsLinked to original sources

Pathology-defined cell states reveal reproducible transcriptomic signatures across ALS cortical single-nucleus RNA-seq studies

Amyotrophic lateral sclerosis (ALS) is a genetically and biologically heterogeneous neurodegenerative disease in which distinct pathogenic mechanisms operate across patients while overt molecular pathology is confined to only a subset of cells. Such features would act to dilute disease-associated transcriptomic signals and complicate the identification of reproducible molecular signatures across the growing number of ALS single-nucleus RNA sequencing (snRNA-seq) studies. Here, we systematically assessed cross-study reproducibility across four cortical ALS snRNA-seq datasets comprising 140 donors (87 ALS) and tested whether pathology-defined cell states improve detection of conserved molecular signatures. Cell-type annotations were harmonized prior to comparison of cell-type-specific pseudobulk differential expression using gene-level, pathway-level, gene-ranking and alternative polyadenylation analyses. We further examined nuclei exhibiting TDP-43 pathology, identified by expression of the STMN2 cryptic exon. Conventional ALS-versus-control analyses showed limited reproducibility, with minimal overlap of differentially expressed genes or enriched pathways, while fold-change patterns clustered predominantly by study rather than cell type or brain region. Nevertheless, gene-ranking analyses identified reproducible neuronal transcriptional programs, suggesting that biological signal is present but incompletely resolved by current cohort sizes. In contrast, STMN2 cryptic exon-positive nuclei showed substantially greater concordance, revealing robust TDP-43-associated signatures that partially overlapped independent models of TDP-43 dysfunction while also identifying motor cortex-specific changes, including reduced expression of the recently identified ALS risk gene UNC13C. Reproducible ALS-associated alternative polyadenylation changes were not detected, likely reflecting the higher dimensionality and sparsity of polyadenylation site analyses. Together, our findings demonstrate that pathology-defined cell states provide a more reproducible framework for studying ALS transcriptomic alterations than conventional case-control comparisons. We additionally provide an interactive browser to facilitate exploration and comparison of ALS snRNA-seq datasets.

genomics↗

NEK1 autophosphorylation is disrupted by amyotrophic lateral sclerosis-associated missense variants: activity biomarkers and structural insights

Rare variants in NEK1, encoding a serine/threonine kinase, are amongst the most consistently implicated genetic contributors to amyotrophic lateral sclerosis (ALS), reported in approximately 2-3% of cases. Yet, whilst recent studies have characterised the cell biological consequences of NEK1 loss-of-function, the biochemical effects of ALS-associated missense variants on kinase activity have not been directly investigated. This distinction is mechanistically important, because missense alleles encode mutant proteins rather than simply reducing protein dosage. Here, we provide the most comprehensive cell-based phosphoproteomic map of NEK1 phosphorylation to date, identifying ten recurrent phosphorylation sites across independent expression and acquisition conditions. We experimentally assign pSer14, pThr156 and pSer418 as NEK1 autophosphorylation sites using kinase-dead controls, targeted extracted ion chromatogram analysis, phosphosite mutagenesis and phosphospecific antibodies. Leveraging activation-loop pThr156 as a readout of NEK1 activity, we assessed nine ALS-associated missense variants spanning the major functional regions of the protein. Amongst catalytic-domain variants, R261C produced the most robust reduction in pThr156 autophosphorylation, R232C produced a smaller reduction, and R232H increased pThr156; the basic-region variant, A313T, also showed a smaller reduction. Structural modelling provides a mechanistic framework for understanding these variant-specific effects. Our study establishes the first activity-based framework for functional classification of NEK1 missense variants, and provides direct evidence that ALS-associated missense variants can alter NEK1 autophosphorylation through a mechanism distinct from simple haploinsufficiency. The phosphospecific antibodies, isogenic cell lines and curated phosphoproteomic datasets generated here provide a community resource for future studies of NEK1 regulation, variant interpretation and therapeutic target validation.

neuroscience↗

Excessive activation of the RAS/MAPK pathway triggers adult-onset motor axonal degeneration

Axonal and synaptic degeneration are key hallmarks of neurodegenerative diseases, but the underlying molecular mechanisms are incompletely understood. Here, we performed an unbiased forward genetic mosaic screen to identify genes required for maintenance of adult motor axons and neuromuscular junctions (NMJs) in the Drosophila leg. We identified 49 mutations in 30 genes, including mutations in 8 genes resulting in adult-onset progressive degeneration. We found that loss of pebbled (peb) function results in adult-onset motor axonal and NMJ degeneration, and age-dependent motor deficits. Peb is the Drosophila RREB1 ortholog, a C2H2 zinc-finger transcription factor that negatively regulates transcription of RAS/MAPK pathway target genes. Loss of peb function resulted in excessive RAS/MAPK pathway activation, and loss of function of other negative regulators of the RAS/MAPK pathway also induced adult-onset progressive NMJ degeneration and motor deficits. Importantly, treatment of adult flies with the MEK1/2 inhibitor mirdametinib induced a dosage-dependent rescue of peb mutant motor neurodegenerative phenotypes. Thus, RAS/MAPK pathway overactivation results in adult-onset progressive neurodegeneration, which can be prevented by RAS/MAPK pathway inhibition.

neuroscience↗

Mitochondrial function determines severity but not risk of amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Selective vulnerability of energy-intensive motor neurons (MNs) has fostered speculation that mitochondrial function is a determinant of ALS. Previously, the position of mitochondrial function in the pathogenic cascade leading to neurotoxicity has been unclear. We separated upstream genetic determinants of mitochondrial function, including genetic variation within the mitochondrial genome or autosomes; from downstream changeable factors including mitochondrial copy number (mtCN) and MN gene expression. We discovered that functionally validated mitochondrial haplotypes are a determinant of ALS survival but not ALS risk. Loss-of-function genetic variants within, and reduced MN expression of, ACADM and DNA2 lead to shorter ALS survival; both genes impact mitochondrial function. MtCN responds dynamically to the onset of ALS independent of mitochondrial haplotype, and is also significantly correlated with disease severity. We conclude that mitochondrial function impacts ALS progression but not risk; our findings have therapeutic implications.

genetics↗

Non-Coding Genetic Analysis Implicates Interleukin 18 Receptor Accessory Protein 3'UTR in Amyotrophic Lateral Sclerosis

The non-coding genome is substantially larger than the protein-coding genome but is largely unexplored by genetic association studies. Here, we performed region-based burden analysis of >25,000 variants in untranslated regions of 6,139 amyotrophic lateral sclerosis (ALS) whole-genomes and 70,403 non-ALS controls. We identified Interleukin-18 Receptor Accessory Protein (IL18RAP) 3'UTR variants significantly enriched in non-ALS genomes, replicated in an independent cohort, and associated with a five-fold reduced risk of developing ALS. Variant IL18RAP 3'UTR reduces mRNA stability and the binding of RNA-binding proteins. Variant IL18RAP 3'UTR further dampens neurotoxicity of human iPSC-derived C9orf72-ALS microglia that depends on NF-{kappa}B signaling. Therefore, the variant IL18RAP 3'UTR provides survival advantage for motor neurons co-cultured with C9-ALS microglia. The study reveals direct genetic evidence and therapeutic targets for neuro-inflammation, and emphasizes the importance of non-coding genetic association studies. One Sentence SummaryNon-coding genetic variants in IL-18 receptor 3UTR decrease ALS risk by modifying IL-18-NF-{kappa}B signaling in microglia.

neuroscience↗

Genome-wide Identification of the Genetic Basis of Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease centered on progressive death of motor neurons. Despite heritability estimates of 52%, GWAS studies have discovered only seven genome-wide significant hits, which are relevant to <10% of ALS patients. To increase the power of gene discovery, we integrated motor neuron functional genomics with ALS genetics in a hierarchical Bayesian model called RefMap. Comprehensive transcriptomic and epigenetic profiling of iPSC-derived motor neurons enabled RefMap to systematically fine-map genes and pathways associated with ALS. As a significant extension of the known genetic architecture of ALS, we identified a group of 690 candidate ALS genes, which is enriched with previously discovered risk genes. Extensive conservation, transcriptome and network analyses demonstrated the functional significance of these candidate genes in motor neurons and disease progression. In particular, we observed a genetic convergence on the distal axon, which supports the prevailing view of ALS as a distal axonopathy. Of the new ALS genes we discovered, we further characterized KANK1 that is enriched with coding and noncoding, common and rare ALS-associated genetic variation. Modelling patient mutations in human neurons reduced KANK1 expression and produced neurotoxicity with disruption of the distal axon. RefMap can be applied broadly to increase the discovery power in genetic association studies of human complex traits and diseases.

genomics↗

The Project MinE databrowser: bringing large-scale whole-genome sequencing in ALS to researchers and the public.

Amyotrophic lateral sclerosis (ALS) is a rapidly progressive fatal neurodegenerative disease affecting 1 in 350 people. The aim of Project MinE is to elucidate the pathophysiology of ALS through whole-genome sequencing at least 15,000 ALS patients and 7,500 controls at 30X coverage. Here, we present the Project MinE data browser (databrowser.projectmine.com). a unique and intuitive one-stop, open-access server that provides detailed information on genetic variation analyzed in a new and still growing set of 4,366 ALS cases and 1,832 matched controls. Through its visual components and interactive design, the browser specifically aims to be a resource to those without a biostatistics background and allow clinicians and preclinical researchers to integrate Project MinE data into their own research. The browser allows users to query a transcript and immediately access a unique combination of detailed (meta)data, annotations and association statistics that would otherwise require analytic expertise and visits to scattered resources.

genomics↗

Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility of disease. We have therefore begun Project MinE, an international collaboration that seeks to analyse whole-genome sequence data of at least 15,000 ALS patients and 7,500 controls. Here, we report on the design of Project MinE and pilot analyses of newly whole-genome sequenced 1,264 ALS patients and 611 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1 %), the vast majority of which is absent in public data sets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.

genetics↗