bioRxiv Science⌕ Search

Biology subjects

Alkuraya, F.

Publications and source records attributed to Alkuraya, F..

5 recordsLinked to original sources

An inappropriate decline in ribosome levels drives a diverse set of neurodevelopmental disorders

Many neurodevelopmental defects are linked to perturbations in genes involved in housekeeping functions, such as those encoding ribosome biogenesis factors. However, how reductions in ribosome biogenesis can result in tissue and developmental specific defects remains a mystery. Here we describe new allelic variants in the ribosome biogenesis factor AIRIM primarily associated with neurodevelopmental disorders. Using human cerebral organoids in combination with proteomic analysis, single-cell transcriptome analysis across multiple developmental stages, and single organoid translatome analysis, we identify a previously unappreciated mechanism linking changes in ribosome levels and the timing of cell fate specification during early brain development. We find ribosome levels decrease during neuroepithelial differentiation, making differentiating cells particularly vulnerable to perturbations in ribosome biogenesis during this time. Reduced ribosome availability more profoundly impacts the translation of specific transcripts, disrupting both survival and cell fate commitment of transitioning neuroepithelia. Enhancing mTOR activity by both genetic and pharmacologic approaches ameliorates the growth and developmental defects associated with intellectual disability linked variants, identifying potential treatment options for specific brain ribosomopathies. This work reveals the cellular and molecular origins of protein synthesis defect-related disorders of human brain development. HighlightsO_LIAIRIM variants reduce ribosome levels specifically in neural progenitor cells. C_LIO_LIInappropriately low ribosome levels cause a transient delay in radial glia fate commitment. C_LIO_LIReduced ribosome levels impair translation of a selected subset of mRNAs. C_LIO_LIGenetic and pharmacologic activation of mTORC1 suppresses AIRIM-linked phenotypes. C_LI

developmental biology↗

Wiskott-Aldrich Syndrome Protein Regulates Nucleolar Organization and Function in Innate Immune Response

Wiskott-Aldrich syndrome (WAS) is a primary immunodeficiency disorder caused by the dysfunction of the WAS protein (WASP). Using an isogenic macrophage model derived from genome edited induced pluripotent stem cells we demonstrated that WASP functions in the nucleolus, which plays important roles in immune regulation. The absence of WASP resulted in smaller and misshapen nucleoli, decreased fibrillar center territory, and impaired ribosomal RNA (rRNA) transcription. The nucleolar and rRNA phenotypes were confirmed in WAS patient samples. Furthermore, WASP interacts with nucleolar proteins, including nucleophosmin 1 (NPM1) and fibrillarin (FBL). NPM1 deficiency is known to cause elevated cytokine expression following lipopolysaccharide (LPS) stimulation. Consistently, WASP deficient cells displayed lower levels of NPM1 and a heightened inflammatory cytokine response to LPS, which was rescued by overexpressing NPM1. Together, our research provides novel insights into the critical role of WASP in nucleolar function and the modulation of inflammatory cytokine production.

cell biology↗

ARMC9 and TOGARAM1 define a Joubert syndrome-associated protein module that regulates axonemal post-translational modifications and cilium stability

Joubert syndrome (JBTS) is a recessive neurodevelopmental ciliopathy, characterized by a pathognomonic hindbrain malformation. All known JBTS-genes encode proteins involved in the structure or function of primary cilia, ubiquitous antenna-like organelles essential for cellular signal transduction. Here, we use the recently identified JBTS-associated protein ARMC9 in tandem-affinity purification and yeast two-hybrid screens to identify a novel ciliary module composed of ARMC9-TOGARAM1-CCDC66-CEP104- CSPP1. TOGARAM1-variants cause JBTS and disrupt its interaction with ARMC9. Using a combination of protein interaction analyses and characterization of patient-derived fibroblasts, CRISPR/Cas9-engineered zebrafish and hTERT-RPE1 cells, we demonstrate that dysfunction of ARMC9 or TOGARAM1 results in short cilia with decreased axonemal acetylation and glutamylation, but relatively intact transition zone function. Aberrant serum-induced ciliary resorption and cold-induced depolymerization in both ARMC9 and TOGARAM1 patient cells lines suggest a role for this new JBTS-associated protein complex in ciliary stability.

genetics↗

A missense variant impairing TRMT1 function in tRNA modification is linked to intellectual disability

The human TRMT1 gene encodes a tRNA methyltransferase enzyme responsible for the formation of the dimethylguanosine (m2,2G) modification in cytoplasmic and mitochondrial tRNAs. Frameshift mutations in the TRMT1 gene have been shown to cause autosomal-recessive intellectual disability (ID) in the human population but additional TRMT1 variants remain to be characterized. Moreover, the impact of ID-associated TRMT1 mutations on m2,2G levels in ID-affected patients is unknown. Here, we describe a homozygous missense variant in TRMT1 in a patient displaying developmental delay, ID, and epilepsy. The missense variant changes a conserved arginine residue to a cysteine (R323C) within the methyltransferase domain of TRMT1 and is expected to perturb protein folding. Patient cells expressing the TRMT1-R323C variant exhibit a severe deficiency in m2,2G modifications within tRNAs, indicating that the mutation causes loss-of-function. Notably, the TRMT1 R323C mutant retains the ability to bind tRNA but is unable to rescue m2,2G formation in TRMT1-deficient human cells. Our results identify a pathogenic point mutation in TRMT1 that severely perturbs tRNA modification activity, and provide the first demonstration that m2,2G modifications are disrupted in patients with TRMT1-associated ID disorders.

molecular biology↗

An RNA-seq quantification method for analysis of transcriptional aberrations

Transcriptome level analysis has been shown to have the great potential for clinical utility. Here, we introduce omega, a between-sample RNA-seq quantification to estimate the abundance level of functional mRNAs which is suitable for analysis of transcriptional aberrations and molecular diagnostics of a range of genetic diseases. By using five diagnosed cases of Mendelian diseases as a case study, we show evidence that omega can improve the signal to detect genes with deleterious transcriptional aberrations and drastically reduce the disease-gene search space.

bioinformatics↗