Download full-text PDF |
Source |
---|
Mechanical force orchestrates a myriad of cellular events including inhibition of axon regeneration, by locally activating the mechanosensitive ion channel Piezo enriched at the injured axon tip. However, the cellular mechanics underlying Piezo localization and function remains poorly characterized. We show that the RNA repair/splicing enzyme Rtca acts upstream of Piezo to modulate its expression and transport/targeting to the plasma membrane via Rab10 GTPase, whose expression also relies on Rtca.
View Article and Find Full Text PDFRNA Biol
January 2024
Department of Chemistry, University of Manitoba, Winnipeg, MB, Canada.
SRP9/SRP14 is a protein heterodimer that plays a critical role in the signal recognition particle through its interaction with the scaffolding signal recognition particle RNA (7SL). SRP9/SRP14 binding to 7SL is mediated through a conserved structural motif that is shared with the primate-specific Alu RNA. Alu RNA are transcription products of Alu elements, a retroelement that comprises ~10% of the human genome.
View Article and Find Full Text PDFNPJ Precis Oncol
November 2024
Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
PLoS Genet
September 2024
Departments of Molecular Biosciences and Oncology University of Texas at Austin Austin, Texas, United States of America.
Brief Bioinform
May 2024
Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Av. Digonal 643, 08028 Barcelona, Spain.
Around 50 years ago, molecular biology opened the path to understand changes in forms, adaptations, complexity, or the basis of human diseases through myriads of reports on gene birth, gene duplication, gene expression regulation, and splicing regulation, among other relevant mechanisms behind gene function. Here, with the advent of big data and artificial intelligence (AI), we focus on an elusive and intriguing mechanism of gene function regulation, RNA editing, in which a single nucleotide from an RNA molecule is changed, with a remarkable impact in the increase of the complexity of the transcriptome and proteome. We present a new generation approach to assess the functional conservation of the RNA-editing targeting mechanism using two AI learning algorithms, random forest (RF) and bidirectional long short-term memory (biLSTM) neural networks with an attention layer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!