Biology subjects

O'Keefe, R. T.

Publications and source records attributed to O'Keefe, R. T..

6 recordsLinked to original sources

bioRxiv2025

Human Mendelian disease and in vivo mutagenesis screening define the molecular architecture of the U8 snoRNA

Over 50 mutations in the vertebrate specific box C/D small nucleolar RNA U8 have been reported to cause leukoencephalopathy with calcifications and cysts (LCC), a progressive cerebral microangiopathy presenting at any age between early infancy and late adulthood. Notably, the majority of these disease-associated mutations are annotated as variants of uncertain significance due to an inability to predict their effect on U8 function. Here, using a zebrafish bioassay, we performed in vivo mutagenesis screening to explore the molecular pathology of LCC. We demonstrate that LCC-associated mutations cluster in function and molecular behaviour according to distinct structural domains within U8, differentially impairing U8 processing, activity and stability. Further, we show that when U8 function is hypomorphic, exogenous human U8 and the endogenous zebrafish U8.3 paralogue increase in stability through a newly discovered post-transcriptional mechanism. This latter response is compromised in patients with LCC due to the presence of a common polymorphism of an N6-methyladenosine modified nucleotide, which we predict to impact disease penetrance.

neuroscience↗

bioRxiv2021

A basement membrane discovery pipeline uncovers network complexity, new regulators, and human disease associations

Basement membranes (BMs) are ubiquitous extracellular matrices whose composition remains elusive, limiting our understanding of BM regulation and function. By developing a bioinformatic and in vivo discovery pipeline, we define a network of 222 human proteins localized to BMs. Network analysis and screening in C. elegans and zebrafish identified new BM regulators, including ADAMTS, ROBO, and TGF{beta}. More than 100 BM-network genes associate with human phenotypes and by screening 63,039 genomes from families with rare disorders, we discovered loss-of-function variants in LAMA5, MPZL2, and MATN2, and show they regulate BM composition and function. This cross-disciplinary study establishes the immense complexity and role of BMs in human health.

cell biology↗

bioRxiv2020

Functional and transcriptional profiling of non-coding RNAs in yeast reveal context-dependent phenotypes and widespread in trans effects on the protein regulatory network

Non-coding RNAs (ncRNAs), including the more recently identified Stable Unannotated Transcripts (SUTs) and Cryptic Unstable Transcripts (CUTs), are increasingly being shown to play pivotal roles in the transcriptional and post-transcriptional regulation of genes in eukaryotes. Here, we carried out a large-scale screening of ncRNAs in Saccharomyces cerevisiae, and provide evidence for SUT and CUT function. Phenotypic data on 372 ncRNA deletion strains in 23 different growth conditions were collected, identifying ncRNAs responsible for significant cellular fitness changes. Transcriptome profiles were assembled for 18 haploid ncRNA deletion mutants and 2 essential ncRNA heterozygous deletants. Guided by the resulting RNA-seq data we analysed the genome-wide dysregulation of protein coding genes and non-coding transcripts. Novel functional ncRNAs, SUT125, SUT126, SUT035 and SUT532 that act in trans by modulating transcription factors were identified. Furthermore, we described the impact of SUTs and CUTs in modulating coding gene expression in response of different environmental conditions, regulating important biological process such as respiration (SUT125, SUT126, SUT035, SUT432), steroid biosynthesis (CUT494, SUT530, SUT468) or rRNA processing (SUT075 and snR30). Overall, this data captures and integrates the regulatory and phenotypic network of ncRNAs and protein coding genes, providing genome-wide evidence of the impact of ncRNAs on cellular homeostasis. Author SummaryThe yeast genome contains 25% of non-coding RNA molecules (ncRNAs), which do not translate into proteins but are involved in regulation of gene expression. ncRNAs can affect nearby genes by physically interfering with their transcription (cis mode of action), or they interact with DNA, proteins or others RNAs to regulate the expression of distant genes (trans mode of action). Examples of cis-acting ncRNAs have been broadly described, however genome-wide studies to identify functional trans-acting ncRNAs involved in global gene regulation are still lacking. Here, we used the ncRNA yeast deletion collection to score their impact on cellular function in different environmental conditions. A group of 20 ncRNAs mutants with broad fitness diversity were selected to investigate their effect on the protein and ncRNA expression network. We showed a high correlation between altered phenotypes and global transcriptional changes, in an environmental dependent manner. We confirmed the widespread trans acting expressional regulation of ncRNAs in the genome and their role in affecting transcription factors. These findings support the notion of the involvement on ncRNAs in fine tuning the cellular expression via regulations of TFs, as an advantageous RNA-mediated mechanism that can be fast and cost-effective for the cells.

genomics↗

bioRxiv2019

Novel intramolecular base-pairing of the U8 snoRNA underlies a Mendelian form of cerebral small vessel disease

How mutations in the non-coding U8 snoRNA cause the neurological disorder leukoencephalopathy with calcification and cysts (LCC) is poorly understood. We report the first vertebrate mutant U8 animal model for interrogating LCC-associated pathology. Mutant U8 zebrafish exhibit defective central nervous system development and ribosomal RNA (rRNA) biogenesis, with tp53 activation which monitors ribosome biogenesis. Importantly, LCC patient fibroblasts demonstrate rRNA processing defects. Human precursor-U8 (pre-U8) containing a 3 extension rescued mutant U8 zebrafish, indicating conserved biological function. Analysis of LCC-associated U8 alleles in zebrafish revealed that one null and one hypomorphic, but still functional, allele combine to cause LCC. Mutations involving any one of seven nucleotides within the human pre-U8 3 extension, or 5 region of U8, alter processing of pre-U8, and identify a novel base-pairing interaction between the 5 end and 3 extension of human pre-U8. Variants in these seven nucleotides, one of which is present on a single allele in almost all patients, act as hypomorphic mutations. Given that biallelic null U8 alleles are likely incompatible with human development, identification of hypomorphic mutations mediating viable embryogenesis furthers understanding of LCC molecular pathology and cerebral vascular homeostasis.

genetics↗

bioRxiv2019

Functional and in-silico interrogation of rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders

PurposeTo develop a comprehensive analysis framework to identify pre-messenger RNA splicing mutations in the context of rare disease.\n\nMethodsWe assessed variants of uncertain significance through six in-silico prioritization strategies. Firstly, through comparison to functional analyses, we determined the precise effect on splicing of variants identified through clinical multi-disciplinary meetings. Next, we calculated the sensitivity of in-silico prioritization strategies to distinguish known splicing mutations from common variation (>2% in allele frequency in gnomAD) within relevant disease genes. These approaches defined an accurate in-silico strategy for variant prioritization, which we retrospectively applied to a large cohort of 2783 individuals who had previously received genomic testing for rare genomic disorders. We assessed the clinical impact of such prioritization strategies alongside routine diagnostic testing strategies.\n\nResultsWe identified 21 variants that potentially impacted splicing, and used cell based splicing assays to identify those variants which disrupted normal splicing. These findings underpinned new molecular diagnoses for 14 individuals. This process established that the use of pre-defined thresholds from a machine learning splice prediction algorithm, SpliceAI, was the most efficient method for variant prioritization, with a positive predictive value of 86%. We analysed 1,346,744 variants identified through diagnostic testing for 2783 individuals and observed that splicing variant prioritization strategies would improve clarity in clinical analysis for 15% of the individuals surveyed. Prioritized variants could provide new molecular diagnoses or provide additional support for molecular diagnosis for up to 81 individuals within our cohort.\n\nConclusionWe present an in-silico and functional analysis framework for the assessment of variants impacting pre-messenger RNA splicing which is applicable across monogenic disorders. Incorporation of these strategies improves clarity in diagnostic reporting, increases diagnostic yield and, with the advent of targeted treatment strategies, can directly alter patient clinical management.\n\nKey HighlightsO_LIWe establish an in-silico and functional analysis framework for the incorporation of splice variant assessment into diagnostic testing that is applicable across monogenic disorders.\nC_LIO_LIAfter assessment of six distinct variant prioritization strategies, we concluded that SpliceAI was the best method to accurately identify genomic variation disrupting normal pre-mRNA splicing. We determined this through (i) functional assessment of novel variants of uncertain significance described in this study, and (ii) calculation of sensitivity and specificity for prioritization strategies to distinguish known splicing mutations from common variants in the general population.\nC_LIO_LIWe describe novel disease-causing variants with support from cell based functional assays which underpin autosomal recessive, autosomal dominant and X-linked Mendelian disorders. This includes variants which are deeply intronic, within the nearby splice region of canonical splice sites and variants which activate cryptic splice sites within the protein-coding regions of genes.\nC_LIO_LIWe integrated the best performing variant prioritization strategy alongside clinical diagnostic testing for 2783 individuals referred to a well-established targeted gene panel test available through the UK National Health Service. We show that integration of such strategies will increase accuracy and clarity of diagnostic reporting, including the identification of variants which could provide new diagnoses and new carrier findings for referred individuals.\nC_LIO_LIFunctional assessment is essential for accurate clinical assessment of variants disrupting pre-mRNA splicing. We show through cell based functional assessments that variants impacting splicing may have complex impacts on pre-mRNA splicing, which may cause multiple interpretable consequences according to ACMG guidelines.\nC_LI

genomics↗

bioRxiv2017

A homozygous variant in mitochondrial RNase P subunit PRORP is associated with Perrault syndrome characterized by hearing loss and primary ovarian insufficiency

Perrault syndrome is a rare autosomal recessive condition characterised by sensorineural hearing loss in both sexes and primary ovarian insufficiency in 46 XX, females. It is genetically heterogeneous with biallelic variants in six genes identified to date (HSD17B4, HARS2, LARS2, CLPP, C10orf2 and ERAL1). Most genes possessing variants associated with Perrault syndrome are involved in mitochondrial translation. We describe a consanguineous family with three affected individuals homozygous for a novel missense variant c.1454C>T; p.(Ala485Val) in KIAA0391, encoding proteinaceous RNase P (PRORP), the metallonuclease subunit of the mitochondrial RNase P complex, responsible for the 5-end processing of mitochondrial precursor tRNAs. In RNase P activity assays, RNase P complexes containing the PRORP disease variant produced ~35-45% less 5-processed tRNA than wild type PRORP. Consistently, the accumulation of unprocessed polycistronic mitochondrial transcripts was observed in patient dermal fibroblasts, leading to an observable loss of steady-state levels of mitochondrial oxidative phosphorylation components. Expression of wild type KIAA0391 in patient fibroblasts rescued tRNA processing. Immunohistochemistry analyses of the auditory sensory epithelium from postnatal and adult mouse inner ear showed a high level of PRORP in the efferent synapses and nerve fibres of hair cells, indicating a possible mechanism for the sensorineural hearing loss observed in affected individuals. We have identified a variant in an additional gene associated with Perrault syndrome. With the identification of this disease-causing variant in KIAA0391, reduced function of each of the three subunits of mitochondrial RNase P have now been associated with distinct clinical presentations.\n\nAuthor SummaryPerrault syndrome is a rare genetic condition which results in hearing loss in both sexes and ovarian dysfunction in females. Perrault syndrome may also cause neurological symptoms in some patients. Here, we present the features and genetic basis of the condition in three sisters affected by Perrault syndrome. The sisters did not have pathogenic variants in any of the genes previously associated with Perrault syndrome. We identified a change in the gene KIAA0391, encoding PRORP, a subunit of the mitochondrial RNase P complex. Mitochondrial RNase P is a key enzyme in RNA processing in mitochondria. Impaired RNA processing reduces protein production in mitochondria, which we observed in patient cells along with high levels of unprocessed RNA. When we expressed wild type PRORP in patient cells, the RNA processing improved. We also investigated PRORP localisation in the mouse inner ear and found high levels in the synapses and nerve fibers that transmit sound. It may be that disruption of RNA processing in the mitochondria of these cells causes hearing loss in this family.

genetics↗