Biology subjects

Lees, J. G.

Publications and source records attributed to Lees, J. G..

6 recordsLinked to original sources

bioRxiv2026

Friedreich ataxia transcriptomic dysregulation and identification of cell type-specific biomarkers: A systematic review and meta-analysis

Friedreich ataxia (FRDA) is a progressive multisystem neurodegenerative disease mostly caused by a homozygous GAA repeat expansion in the FXN gene, leading to deficiency of the protein frataxin. Despite ubiquitous frataxin expression, FRDA pathology is tissue-specific, disproportionately affecting dorsal root ganglia sensory neurons, dentate nuclei of the cerebellum, corticospinal tracts and cardiomyocytes. The molecular basis for this selective vulnerability remains unresolved, suggesting that cell-type specific responses to frataxin deficiency shape disease susceptibility. This incomplete understanding is compounded by the lack of molecular biomarkers that capture FRDA biology beyond frataxin deficiency, thereby limiting therapeutic development and evaluation. Here, we integrated all available human bulk RNA-seq datasets in FRDA (23 datasets across 10 cell types), spanning disease-related (cardiomyocytes, sensory neurons) and relatively FRDA-spared cell types (fibroblasts, lymphoblastoid cells) under a unified analytical framework to identify transcriptional dysregulation underlying selective vulnerability and candidate biomarkers. Meta-analysis revealed recurrent transcriptional perturbations beyond FXN, involving long non-coding RNAs, translational control and cytoskeletal organisation. While shared transcriptional themes were observed, the specific biological programmes engaged were strongly cell-type dependent. The top candidate biomarkers, MYH14, MEG9, and MEG8 showed preferential upregulation in disease-relevant cell types including sensory neurons and cardiomyocytes, supporting their potential relevance to selective vulnerability. Therapeutic responsiveness to these candidates were assessed across RNA-seq datasets from FRDA models exposed to diverse therapeutic strategies, including epigenetic modulation and FXN-targeting approaches, revealing that transcriptional alterations in FRDA are pharmacologically modifiable. To facilitate transparent exploration and reuse of these findings, we developed an interactive FRDA Transcriptomic Atlas, providing a community-accessible resource for investigating gene and pathway-level dysregulation across FRDA studies: https://marniemaddock.github.io/FRDATranscriptomicAtlas/. Together, these findings implicate cell type specific transcriptional programs as potential drivers of selective vulnerability and establish a framework for prioritising biomarkers in FRDA. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/712785v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@26138org.highwire.dtl.DTLVardef@3cbc27org.highwire.dtl.DTLVardef@164dbf5org.highwire.dtl.DTLVardef@a4b59d_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Long-read sequencing-based atlas of tissue-specific expression of Drp1 transcript variants

Dynamin-related protein 1 (Drp1), encoded by DNM1L, is essential for mitochondrial fission, but its functional roles remain unclear due to isoform-specific effects from alternative splicing. Short-read RNA sequencing fails to resolve full-length isoforms involving distant exons, limiting our understanding. Here, we applied targeted long-read sequencing to profile full-length DNM1L transcripts in human left ventricle and iPSC-derived cardiomyocytes, recovering all annotated isoforms with conserved expression patterns and isoforms 1-4 being most abundant. Functional assays revealed that isoform abundance does not predict enzymatic activity. Extending this to six mouse tissues, we identified distinct, tissue-enriched expression profiles. Functional rescue in Drp1-knockout mouse embryonic fibroblasts showed isoform-dependent differences in mitochondrial fission. Isoforms lacking the A-insert (e.g., b and d) robustly rescued fission, while isoforms enriched in brain or muscle showed only partial rescue, suggesting exons 2 and 3 negatively regulate Drp1 activity. Our cross-species atlas integrates long-read transcriptomics with functional validation, revealing how isoform diversity underpins tissue-specific mitochondrial dynamics and physiological roles of Drp1. SummaryUsing long-read sequencing, we mapped full-length DNM1L/Dnm1l isoforms in human and mouse tissues, uncovering tissue-specific expression and isoform-dependent mitochondrial fission activity. This reveals how alternative splicing shapes Drp1 function, with implications for understanding its role in health and disease.

cell biology↗

bioRxiv2025

Frataxin deficiency drives cardiac dysfunction and transcriptional dysregulation in Friedreich ataxia iPSC model

Friedreich ataxia (FRDA) is a progressive neuromuscular degenerative disorder caused by GAA repeat expansions in the FXN gene, leading to frataxin deficiency and multisystem pathology. Cardiomyopathy is the leading cause of mortality in individuals with FRDA. To investigate the cellular and molecular mechanisms underlying FRDA-associated cardiac dysfunction, we employed induced pluripotent stem cell (iPSC) lines derived from three individuals with FRDA, each paired with an isogenic control line generated through CRISPR/Cas9-mediated excision of the pathogenic GAA repeat expansion. Correction of the mutation restored FXN expression to levels comparable to healthy donor iPSCs, and all lines differentiated efficiently into cardiomyocytes. Functional analysis revealed significant contractile abnormalities in FRDA cardiomyocytes and multicellular cardiac microtissues, including prolonged contraction and relaxation times and faster beating rates, consistent with clinical observations of cardiac contractile dysfunction. FRDA cardiomyocytes also exhibited pathological features such as increased cell size, irregular calcium transients, elevated mitochondrial reactive oxygen species levels, increased mitochondrial fission and increased cell death. These phenotypes were exacerbated by pathological levels of iron supplementation in culture media, highlighting the heightened sensitivity of frataxin-deficient cardiomyocytes to iron-induced metabolic stress. RNA sequencing revealed a distinct transcriptional profile associated with frataxin deficiency. MEG3 and PCDHGA10 were consistently dysregulated across all three FRDA-iPSC lines and may represent early molecular markers of FRDA cardiomyopathy. Together, these findings establish a robust human iPSC model of FRDA cardiomyopathy that captures early disease phenotypes and reveals novel molecular targets. This preclinical human model provides valuable insight into the pathogenesis of FRDA and provides a platform for developing early-stage therapeutic interventions.

pathology↗

bioRxiv2021

Retinal ganglion cell-specific genetic regulation in primary open angle glaucoma

To assess the transcriptomic profile of disease-specific cell populations, fibroblasts from patients with primary open-angle glaucoma (POAG) were reprogrammed into induced pluripotent stem cells (iPSCs) before being differentiated into retinal organoids and compared to those from healthy individuals. We performed single-cell RNA-sequencing of a total of 330,569 cells and identified cluster-specific molecular signatures. Comparing the gene expression profile between cases and controls, we identified novel genetic associations for this blinding disease. Expression quantitative trait mapping identified a total of 2,235 significant loci across all cell types, 58 of which are specific to the retinal ganglion cell subpopulations, which ultimately degenerate in POAG. Transcriptome-wide association analysis identified genes at loci previously associated with POAG, and analysis, conditional on disease status, implicated 54 statistically significant retinal ganglion cell-specific expression quantitative trait loci. This work highlights the power of large-scale iPSC studies to uncover context-specific profiles for a genetically complex disease.

genetics↗

bioRxiv2020

SARS-CoV-2 spike protein predicted to form stable complexes with host receptor protein orthologues from mammals, but not fish, birds or reptiles

SARS-CoV-2 has a zoonotic origin and was transmitted to humans via an undetermined intermediate host, leading to infections in humans and other mammals. To enter host cells, the viral spike protein (S-protein) binds to its receptor, ACE2, and is then processed by TMPRSS2. Whilst receptor binding contributes to the viral host range, S-protein:ACE2 complexes from other animals have not been investigated widely. To predict infection risks, we modelled S-protein:ACE2 complexes from 215 vertebrate species, calculated changes in the energy of the complex caused by mutations in each species, relative to human ACE2, and correlated these changes with COVID-19 infection data. We also analysed structural interactions to better understand the key residues contributing to affinity. We predict that mutations are more detrimental in ACE2 than TMPRSS2. Finally, we demonstrate phylogenetically that human SARS-CoV-2 strains have been isolated in animals. Our results suggest that SARS-CoV-2 can infect a broad range of mammals, but few fish, birds or reptiles. Susceptible animals could serve as reservoirs of the virus, necessitating careful ongoing animal management and surveillance.

bioinformatics↗

bioRxiv2018

Tracking dynamic changes in Alzheimer’s disease brain proteome reveals ageing-independent damage in Drosophila

Alzheimers disease (AD), the most prevalent form of dementia, is a progressive and devastating neurodegenerative condition for which there are no effective treatments. Understanding the molecular pathology of AD during disease progression may identify new ways to reduce neuronal damage. Here, we present a longitudinal study tracking dynamic proteomic alterations in the brains of an inducible Drosophila melanogaster model of AD expressing the Arctic mutant A{beta}42 gene. We identified 3093 proteins from flies that were induced to express A{beta}42 and age-matched healthy controls using label-free quantitative ion-mobility data independent analysis mass spectrometry. Of these, 228 proteins were significantly altered by A{beta}42 accumulation and were enriched for AD-associated processes. Network analyses further revealed that these proteins have distinct hub and bottleneck properties in the brain protein interaction network, suggesting that several may have significant effects on brain function. Our unbiased analysis provides useful insights into the key processes governing the progression of amyloid toxicity and forms a basis for further functional analyses in model organisms and translation to mammalian systems.

biochemistry↗