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Vrettos, N.

Publications and source records attributed to Vrettos, N..

4 recordsLinked to original sources

TBCK Deficiency Alters Ribosomal Function, RNA Splicing, and miRNA Networks: Insights from Multi-Omics Analyses

TBC1 domain-containing kinase (TBCK) is an important protein with implications in brain development. Biallelic variants in the TBCK gene are known to cause TBCK-related neurodevelopmental disorder (OMIM #616900) [1], a rare genetic multisystemic disease characterized by developmental delay, variable developmental regression, seizures, and premature death in late childhood for which no cure is currently available. Though previous work has provided a better understanding of the proteins role, the mechanism for how TBCK variants affect gene expression and protein regulation has remained understudied. To better understand the impact of these alterations, and using an unbiased approach, we employed the power of multi-omics to define the cellular consequences at the transcript and protein level. Our comprehensive analysis uncovered significant disruptions in ribosomal and translation-related pathways with widespread alternative splicing defects, and key miRNA changes that validate previously reported molecular findings. This work provides a clearer molecular framework for TBCK dysfunction in TBCK-/- cells and offers a valuable foundation to identify potential therapeutic targets.

genetics↗

MIWI arginines orchestrate generation of functional pachytene piRNAs and spermiogenesis

N-terminal arginine (NTR) methylation is a conserved feature of PIWI proteins, which are central components of the PIWI-interacting RNA (piRNA) pathway. The significance and precise function of PIWI NTR methylation in mammals remains unknown. In mice, PIWI NTRs bind Tudor domain containing proteins (TDRDs) that have essential roles in piRNA biogenesis and the formation of the chromatoid body. Using mouse MIWI (PIWIL1) as paradigm, we demonstrate that the NTRs are essential for spermatogenesis through the regulation of transposons and gene expression. Surprisingly, the loss of TDRD5 and TDRKH interaction with MIWI results in defective piRNA amplification, rather than an expected failure of piRNA biogenesis. We find that piRNA amplification is necessary for both transposon control and for sustaining levels of select, nonconserved, pachytene piRNAs that target specific mRNAs required for spermatogenesis. Our findings support the notion that the vast majority of pachytene piRNAs are dispensable, acting as autonomous genetic elements that rely for propagation on MIWI piRNA amplification. MIWI-NTRs also mediate interactions with TDRD6 that are necessary for chromatoid body compaction. Furthermore, MIWI-NTRs promote stabilization of spermiogenic transcripts that drive nuclear compaction, which is essential for sperm formation. In summary, the NTRs underpin the diversification of MIWI protein function. Key pointsO_LIMIWI-NTRs coordinate interactions with TDRDs required for piRNA biogenesis to sustain piRNA amplification C_LIO_LIMIWI-NTRs are necessary for both transposon control and for sustaining levels of select pachytene piRNAs that target specific mRNAs required for spermiogenesis C_LIO_LIMIWI-NTRs mediate interactions with TDRD6 to compact the Chromatoid Body C_LIO_LIMIWI-NTRs underlie stabilization of spermiogenic transcripts that drive nuclear compaction, which is essential for sperm formation C_LI

molecular biology↗

Inferring the molecular mechanisms of noncoding Alzheimer’s disease-associated genetic variants

Structured AbstractO_ST_ABSINTRODUCTIONC_ST_ABSWe set out to characterize the causal variants, regulatory mechanisms, tissue contexts, and target genes underlying noncoding late-onset Alzheimers Disease (LOAD)-associated genetic signals.\n\nMETHODSWe applied our INFERNO method to the IGAP genome-wide association study (GWAS) data, annotating all potentially causal variants with tissue-specific regulatory activity. Bayesian co-localization analysis of GWAS summary statistics and eQTL data was performed to identify tissue-specific target genes.\n\nRESULTSINFERNO identified enhancer dysregulation in all 19 tag regions analyzed, significant enrichments of enhancer overlaps in the immune-related blood category, and co-localized eQTL signals overlapping enhancers from the matching tissue class in ten regions (ABCA7, BIN1, CASS4, CD2AP, CD33, CELF1, CLU, EPHA1, FERMT2, ZCWPW1). We validated the allele-specific effects of several variants on enhancer function using luciferase expression assays.\n\nDISCUSSIONIntegrating functional genomics with GWAS signals yielded insights into the regulatory mechanisms, tissue contexts, and genes affected by noncoding genetic variation associated with LOAD risk.

bioinformatics↗

Isolation and sequencing of AGO-bound RNAs reveals characteristics of mammalian stem-loop processing in vivo

MicroRNA precursors (pre-miRNAs) are short hairpin RNAs that are rapidly processed into mature microRNAs (miRNAs) in the cytoplasm. Due to their low abundance in cells, sequencing-based studies of pre-miRNAs have been limited. We successfully enriched for and deep sequenced pre-miRNAs in human cells by capturing these RNAs during their interaction with Argonaute (AGO) proteins. Using this approach, we detected > 350 pre-miRNAs in human cells and > 250 pre-miRNAs in a reanalysis of a similar study in mouse cells. We uncovered widespread trimming and non-templated additions to the 3 ends of pre- and mature miRNAs. Additionally, we created an index for microRNA precursor processing efficiency. This analysis revealed a subset of pre-miRNAs that produce low levels of mature miRNAs despite abundant precursors, including an annotated miRNA in the 5 UTR of the DiGeorge syndrome critical region 8 mRNA transcript. This led us to search for AGO-associated stem-loops originating from other mRNA species, which identified hundreds of putative pre-miRNAs derived from human and mouse mRNAs. In summary, we provide a wealth of information on mammalian pre-miRNAs, and identify novel microRNA and microRNA-like elements localized in mRNAs.

molecular biology↗