Fragile X mental retardation protein modulates translation of proteins with predicted tendencies for liquid-liquid phase separation

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2025-02-01 DOI:10.1016/j.biosystems.2025.105405
Omar Jurado , Marco V. José , Eugenio Frixione
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引用次数: 0

Abstract

The Fragile X Mental Retardation Protein (FMRP) is an RNA-binding protein and a key regulator of translation in neurons, hence crucial for neural development and plasticity. FMRP loss, resulting from mutations in the Fmr1 gene, leads to Fragile X Syndrome (FXS) and Autism Spectrum Disorder (ASD), the most common inherited intellectual disabilities. Ribosome profiling in neurons consistently reveals that FMRP-knockout (FK) significantly down-regulates the translation of numerous lengthy genes, many of which are FMRP-binding targets and associated with ASD. Despite these findings, the functional explanation for FMRP's translation regulation of large neuronal proteins remains elusive. Our present study compiles data from published ribosome profiling studies, to identify genes with significantly decreased translation in FK neurons. Using bioinformatic analysis and machine-learning sequence-based tools, PSPredictor and FuzDrop, we found that the proteins encoded by these genes are predicted to be enriched in intrinsically disordered regions and are prone to liquid-liquid phase separation. These findings suggest that FMRP modulates the translation of proteins involved in the formation of biomolecular condensates. Our results can have significant implications for understanding the molecular mechanisms of FXS and ASD, adding complexity to FMRP's regulatory functions, thus offering avenues for further exploration and targeted therapeutic interventions in intellectual disability disorders.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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