Biology subjects

O'Keefe, S.

Publications and source records attributed to O'Keefe, S..

11 recordsLinked to original sources

bioRxiv2026

Rapid plastid isolation reveals the chloroplast proteome and structures of the chlororibosome large subunit and RuBisCO in Marchantia polymorpha

Plastids house the biology of eukaryotic photosynthesis. While 1000s of plastid genomes have been sequenced, the availability of less than ten proteomes and only two species with full 70S plastid ribosomal structures limit our understanding of plant evolution. We optimized a protocol for the rapid isolation of Marchantia polymorpha plastids that provides a highly enriched and intact organelle fraction from gradient volumes as little as 2 mL. The approach was successfully applied to six other species. Focusing on M. polymorpha, we determined the proteome of the plastid fraction, identifying 1337 nuclear-encoded proteins with a high confidence, where 83% belong to orthologs shared with angiosperms. We further isolated protein complexes by RNA affinity purification using poly-lysine and provide the high-resolution structures of the 50S subunit of the chloroplast ribosome and RuBisCO using cryogenic EM and image reconstruction to 2.23 and 2.12 [A] resolution, respectively. For plastids, our data show that the genome reduction event experienced by the bryophyte common ancestor has had little impact on the organelles complexity and they underscore a high level of structural conservation of key components. Our data provide novel resources to explore the functional evolution of plastid proteomes and major macromolecular complexes of cyanobacterial origin.

plant biology↗

bioRxiv2025

Intrinsic errors in mitochondrial translation trigger a decline in cell fitness.

Defects in the faithful expression of the human mitochondrial genome underlies disease states, from rare inherited disorders to common pathologies and the aging process itself. The ensuing decrease in the capacity for oxidative phosphorylation alone cannot account for the phenotype complexity associated with disease. Here, we address how aberrations in mitochondrial nascent chain synthesis per se exert a decline in cell fitness using a classic model of mitochondrial induced premature aging. We identify how intrinsic errors during mitochondrial nascent chain synthesis destabilize organelle gene expression, triggering intracellular stress responses that rewire cellular metabolism and cytokine secretion. Further, we show how these mechanisms extend to pathogenic variants associated with inherited human disorders. Together, our findings reveal how aberrations in mitochondrial protein synthesis can sensitize a cell to metabolic challenges associated with disease and pathogen infection independent of oxidative phosphorylation. Teaser/One-Sentence SummaryAberrations in mitochondrial translation elongation trigger activation of intracellular stress responses associated with disease and aging.

cell biology↗

bioRxiv2023

Gut microbiota and fecal short chain fatty acids differ with adiposity and country of origin: The METS-Microbiome Study

The relationship between the gut microbiota, short chain fatty acid (SCFA) metabolism, and obesity remains unclear due to conflicting reports from studies with limited statistical power. Additionally, this association has rarely been explored in large scale diverse populations. Here, we investigated associations between fecal microbial composition, predicted metabolic potential, SCFA concentrations, and obesity in a large (N = 1,934) adult cohort of African-origin spanning the epidemiologic transition, from Ghana, South Africa, Jamaica, Seychelles, and the United States (US). The greatest gut microbiota diversity and total fecal SCFA concentration was found in the Ghanaian population, while the lowest levels were found in the US population, respectively representing the lowest and the highest end of the epidemiologic transition spectrum. Country-specific bacterial taxa and predicted-functional pathways were observed, including an increased prevalence of Prevotella, Butyrivibrio, Weisella and Romboutsia in Ghana and South Africa, while Bacteroides and Parabacteroides were enriched in Jamaican and the US populations. Importantly, VANISH taxa, including Butyricicoccus and Succinivibrio, were significantly enriched in the Ghanaian cohort, reflecting the participants traditional lifestyles. Obesity was significantly associated with lower SCFA concentrations, a decrease in microbial richness, and dissimilarities in community composition, and reduction in the proportion of SCFA synthesizing bacteria including Oscillospira, Christensenella, Eubacterium, Alistipes, Clostridium and Odoribacter. Further, the predicted proportions of genes in the lipopolysaccharide (LPS) synthesis pathway were enriched in obese individuals, while genes associated with butyrate synthesis via the dominant pyruvate pathway were significantly reduced in obese individuals. Using machine learning, we identified features predictive of metabolic state and country of origin. Country of origin could accurately be predicted by the fecal microbiota (AUC = 0.97), whereas obesity could not be predicted as accurately (AUC = 0.65). Participant sex (AUC = 0.75), diabetes status (AUC = 0.63), hypertensive status (AUC = 0.65), and glucose status (AUC = 0.66) could all be predicted with different success. Interestingly, within country, the predictive accuracy of the microbiota for obesity was inversely correlated to the epidemiological transition, being greatest in Ghana (AUC = 0.57). Collectively, our findings reveal profound variation in the gut microbiota, inferred functional pathways, and SCFA synthesis as a function of country of origin. While obesity could be predicted accurately from the microbiota, the variation in accuracy in parallel with the epidemiological transition suggests that differences in the microbiota between obesity and non-obesity may be larger in low-to-middle countries compared to high-income countries. Further examination of independent study populations using multi-omic approaches will be necessary to determine the factors that drive this association.

microbiology↗

bioRxiv2022

The SARS-CoV-2 protein ORF3c is a mitochondrial modulator of innate immunity

The SARS-CoV-2 genome encodes a multitude of accessory proteins. Using comparative genomic approaches, an additional accessory protein, ORF3c, has been predicted to be encoded within the ORF3a sgmRNA. Expression of ORF3c during infection has been confirmed independently by ribosome profiling. Despite ORF3c also being present in the 2002-2003 SARS-CoV, its function has remained unexplored. Here we show that ORF3c localises to mitochondria during infection, where it inhibits innate immunity by restricting IFN-{beta} production, but not NF-{kappa}B activation or JAK-STAT signalling downstream of type I IFN stimulation. We find that ORF3c acts after stimulation with cytoplasmic RNA helicases RIG-I or MDA5 or adaptor protein MAVS, but not after TRIF, TBK1 or phospho-IRF3 stimulation. ORF3c co-immunoprecipitates with the antiviral proteins MAVS and PGAM5 and induces MAVS cleavage by caspase-3. Together, these data provide insight into an uncharacterised mechanism of innate immune evasion by this important human pathogen.

microbiology↗

bioRxiv2021

Transcriptomic Changes During Stage Progression of Mycosis Fungoides

BackgroundMycosis fungoides (MF) is the most common cutaneous T cell lymphoma, which in the early patch/plaque stages runs an indolent course. However, ~25% of MF patients develop skin tumors, a hallmark of progression to the advanced stage and associated with high mortality. The mechanisms involved in stage progression are poorly elucidated. MethodsWe performed whole-transcriptome and whole-exome sequencing of malignant MF cells from skin biopsies obtained by laser-capture microdissection. We compared three types of MF lesions: early-stage plaques (ESP, n=12), and plaques and tumors from patients in late-stage disease (late-stage plaques, LSP, n=10, and tumors, TMR, n=15). Gene Ontology (GO) and KEGG analysis were used to determine pathway changes specific for different lesions which we linked to the recurrent somatic mutations overrepresented in MF tumors. ResultsThe key upregulated pathways during stage progression were those related to cell proliferation and survival (MEK/ERK, Akt-mTOR), Th2/Th9 signaling (IL4, STAT3, STAT5, STAT6), meiomitosis (CT45A1, CT45A3, STAG3, GTSF1, and REC8) and DNA repair (PARP1, MYCN, OGG1). Principal coordinate clustering of the transcriptome revealed extensive gene expression differences between early (ESP) and advanced-stage lesions (LSP and TMR). LSP and TMR showed remarkable similarities at the level of the transcriptome, which we interpreted as evidence of cell percolation between lesions via hematogenous self-seeding. ConclusionStage progression in MF is associated with Th2/Th9 polarization of malignant cells, activation of proliferation, survival, as well as increased genomic instability. Global transcriptomic changes in multiple lesions are probably caused by hematogenous cell percolation between discrete skin lesions.

bioinformatics↗

bioRxiv2020

Ipomoeassin-F inhibits the in vitro biogenesis of the SARS-CoV-2 spike protein and its host cell membrane receptor

In order to produce proteins essential for their propagation, many pathogenic human viruses, including SARS-CoV-2 the causative agent of COVID-19 respiratory disease, commandeer host biosynthetic machineries and mechanisms. Three major structural proteins, the spike, envelope and membrane proteins, are amongst several SARS-CoV-2 components synthesised at the endoplasmic reticulum (ER) of infected human cells prior to the assembly of new viral particles. Hence, the inhibition of membrane protein synthesis at the ER is an attractive strategy for reducing the pathogenicity of SARS-CoV-2 and other obligate viral pathogens. Using an in vitro system, we demonstrate that the small molecule inhibitor ipomoeassin F (Ipom-F) potently blocks the Sec61-mediated ER membrane translocation/insertion of three therapeutic protein targets for SARS-CoV-2 infection; the viral spike and ORF8 proteins together with angiotensin-converting enzyme 2, the host cell plasma membrane receptor. Our findings highlight the potential for using ER protein translocation inhibitors such as Ipom-F as host-targeting, broad-spectrum, antiviral agents.

biochemistry↗

bioRxiv2020

The neoantigen landscape of mycosis fungoides

BackgroundMycosis fungoides (MF), the most common type of cutaneous T-cell lymphoma, has a dismal prognosis in advanced stages. Treatments for advanced disease are mostly palliative and MF remains incurable. Although MF is a known immunogenic neoplasm, immunotherapies such as interferons and the immune checkpoint inhibitors yield inconsistent results. Since the number, HLA-binding strength and subclonality of neoantigens are correlated with the therapeutic responses, we aimed here to characterize the landscape of neoantigens in MF. MethodsWe conducted whole exome and whole transcriptome sequencing of 24 MF samples (16 plaque, 8 tumour) from 13 patients. Bioinformatic pipelines (Mutect2, OptiType, MuPeXi) were used for in silico mutation calling, HLA typing, and neoantigen prediction. Phylogenetic analysis was used to subdivide the malignant cell population into stem and clades (subclones). Clonality of neaontigens was determined by matching neoantigens to the stem and clades of the phylogenetic tree of each MF sample. ResultsMF has a high mutational load (median 3217 non synonymous mutations), resulting in a significant number of total neoantigens (median 1309 per sample) and high-affinity neoantigens (median 328). In stage I disease most neoantigens were clonal but with progression to stage II, subclonal neoantigens comprised >50% of the total. There was very little overlap in neoantigens across patients or between different lesions on the same patient, indicating a high degree of genetic heterogeneity. ConclusionsAnalysis of the neoantigen landscape of MF revealed a very high neoantigen load and thus a significant immunogenic potential of this lymphoma. However, neoantigenic heterogeneity and significant subclonality might limit the efficacy of immunotherapy. We hypothesize that neoantigen number and subclonality might be useful biomarkers determining sensitivity to immunotherapeutic strategies.

cancer biology↗

bioRxiv2019

Independent evolution of cutaneous lymphoma subclones in different microenvironments of the skin

Mycosis fungoides (MF) is the most common, yet incurable, cutaneous T-cell lymphoma. We have recently shown that the disease is initiated by hematogenous seeding the skin with clonotypically diverse neoplastic T-cells which proliferate accumulating numerous mutations and produce lesions of high intratumoral heterogeneity (ITH). A characteristic but a poorly studied feature of MF is epidermotropism, the tendency to infiltrate skin epithelial layer (epidermis) in addition to the vascularized dermis. By sequencing the exomes of the microdissected clusters of lymphoma cells from the epidermis and the dermis, we found that those microenvironments harbored different malignant clonotypes and exhibited different patterns of driver gene mutation. Phylogenetic relationships between cancer subclones witnessed to the independent mutational evolution in the epidermis and dermis. Thus, the invasion of MF to different skin layers does not occur by gradual infiltration of the expanding tumor mass, but is caused by separate seeding processes with different malignant clones that develop independently of one another via a neutral, branched evolution. In conclusion, tissue microenvironments shape the subclonal architecture in MF leading to \"ecological heterogeneity\" which contributes to the total ITH. Since ITH adversely affects cancer prognosis, targeting the microenvironment may present therapeutic opportunities in MF and other cancers.

cancer biology↗

bioRxiv2019

Branched evolution and genomic intratumor heterogeneity in the pathogenesis of cutaneous T-cell lymphoma

Mycosis fungoides (MF) is a slowly progressive cutaneous T-cell lymphoma (CTCL) for which there is no cure. In the early plaque stage the disease is indolent, but development of tumors heralds an increased risk of metastasis and death. Previous research into the genomic landscape of CTCL revealed a complex pattern of >50 driver mutations implicated in more than a dozen of signaling pathways. However, the genomic mechanisms governing disease progression and treatment resistance remain unknown. Building on our previous discovery of the clonotypic heterogeneity of MF, we hypothesized that this lymphoma does not progress in a linear fashion as currently thought, but comprises heterogeneous mutational subclones. We sequenced exomes of 49 cases of MF and identified 28 previously unreported putative driver genes. MF exhibited extensive intratumoral heterogeneity (ITH) of a median of six subclones showing branched pattern of phylogenetic relationships. Stage progression was correlated with an increase in ITH and redistribution of mutations from the stem to the clades. The pattern of clonal driver mutations was highly variable with no consistent mutations between patients. A similar intratumoral heterogeneity was detected in leukemic CTCL (Sezary syndrome). Based on these findings we propose a model of the pathogenesis of MF comprising neutral, divergent evolution of cancer subclones and discuss how ITH impacts the efficacy of targeted drug therapies and immunotherapies of CTCL.

cancer biology↗

bioRxiv2019

Synthetic cassettes for pH-mediated sensing, counting and containment

AbstractAs pH is fundamental to all biological processes, pH-responsive bacterial genetic circuits enable precise sensing in any environment. Where unintentional release of engineered bacteria poses a concern, coupling pH sensing to expression of a toxin creates an effective bacterial containment system. Here, we present a pH-sensitive kill switch (acidic Termination of Replicating Population; acidTRP), based on the E. coli asr promoter, with a survival ratio of less than 1 in 106. We integrate acidTRP with cryodeath to produce a two-factor containment system with a combined survival ratio of less than 1 in 1011 whilst maintaining evolutionary stability. We further develop a pulse-counting circuit with single cell readout for each administered stimulus pulse. We use this pulse-counter to record multiple pH changes and combine it with acidTRP to make a two-count acid-sensitive kill switch. These results demonstrate the ability to build complex genetic systems for biological containment.

synthetic biology↗

bioRxiv2019

Skin colonization by circulating neoplastic clones in cutaneous T-cell lymphoma

Mycosis fungoides (MF) is a mature T-cell lymphoma currently thought to develop primarily in the skin by a clonal expansion of a transformed, resident memory T-cell. However, this concept does not explain the key characteristics of MF such as the debut with multiple, widespread skin lesions or inability of skin directed therapies to provide cure. The testable inference of the mature T-cell theory is the clonality of MF with respect to all rearranged T-cell receptor (TCR) genes. Here we have used whole exome sequencing approach to detect and quantify TCR, -{beta} and -{gamma} clonotypes in tumor cell clusters microdissected from MF lesions. This method allows us to calculate the tumor cell fraction of the sample and therefore an unequivocal identification of the TCR clonotypes as neoplastic. Analysis of TCR sequences from 29 patients with MF stage I-IV proved existence of multiple T-cell clones within the tumor cell fraction, with a considerable variation between patients and between lesions from the same patient (median 11 clones, range 2-80 clones/sample). We have also detected multiple neoplastic clones in the peripheral blood in all examined patients. Based on these findings we propose that circulating neoplastic T-cell clones continuously replenish the lesions of MF thus increasing their heterogeneity by a mechanism analogous to the consecutive tumor seeding. We hypothesize that circulating neoplastic clones might be a promising target for therapy and could be exploited as a potential biomarker in MF.

cancer biology↗