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1.
Dis Model Mech ; 16(9)2023 09 01.
Artículo en Inglés | MEDLINE | ID: mdl-37787662

RESUMEN

Spinal muscular atrophy (SMA) is a severe, monogenetic, neuromuscular disease. A thorough understanding of its genetic cause and the availability of robust models has led to the development and approval of three gene-targeting therapies. This is a unique and exciting development for the field of neuromuscular diseases, many of which remain untreatable. The development of therapies for SMA not only opens the door to future therapeutic possibilities for other genetic neuromuscular diseases, but also informs us about the limitations of such treatments. For example, treatment response varies widely and, for many patients, significant disability remains. Currently available SMA models best recapitulate the severe types of SMA, and these models are genetically and phenotypically more homogeneous than patients. Furthermore, treating patients is leading to a shift in phenotypes with increased variability in SMA clinical presentation. Therefore, there is a need to generate model systems that better reflect these developments. Here, we will first discuss current animal models of SMA and their limitations. Next, we will discuss the characteristics required to future-proof models to assist the field in the development of additional, novel therapies for SMA.


Asunto(s)
Atrofia Muscular Espinal , Humanos , Animales , Atrofia Muscular Espinal/genética , Atrofia Muscular Espinal/terapia , Modelos Biológicos , Modelos Animales , Terapia Genética , Modelos Animales de Enfermedad
2.
J Cell Sci ; 135(23)2022 12 01.
Artículo en Inglés | MEDLINE | ID: mdl-36314272

RESUMEN

NOC1 is a nucleolar protein necessary in yeast for both transport and maturation of ribosomal subunits. Here, we show that Drosophila NOC1 (annotated CG7839) is necessary for rRNAs maturation and for a correct animal development. Its ubiquitous downregulation results in a dramatic decrease in polysome level and of protein synthesis. NOC1 expression in multiple organs, such as the prothoracic gland and the fat body, is necessary for their proper functioning. Reduction of NOC1 in epithelial cells from the imaginal discs results in clones that die by apoptosis, an event that is partially rescued in a Minute/+ background, suggesting that reduction of NOC1 induces the cells to become less fit and to acquire a 'loser' state. NOC1 downregulation activates the pro-apoptotic Eiger-JNK pathway and leads to an increase of Xrp1, which results in the upregulation of DILP8, a member of the insulin/relaxin-like family known to coordinate organ growth with animal development. Our data underline NOC1 as an essential gene in ribosome biogenesis and highlight its novel functions in the control of growth and cell competition.


Asunto(s)
Competencia Celular , Precursores del ARN , Sistema de Señalización de MAP Quinasas
3.
Nucleic Acids Res ; 50(4): e23, 2022 02 28.
Artículo en Inglés | MEDLINE | ID: mdl-34850942

RESUMEN

Most RNA footprinting approaches that require ribonuclease cleavage generate RNA fragments bearing a phosphate or cyclic phosphate group at their 3' end. Unfortunately, current library preparation protocols rely only on a 3' hydroxyl group for adaptor ligation or poly-A tailing. Here, we developed circAID-p-seq, a PCR-free library preparation for selective 3' phospho-RNA sequencing. As a proof of concept, we applied circAID-p-seq to ribosome profiling, which is based on sequencing of RNA fragments protected by ribosomes after endonuclease digestion. CircAID-p-seq, combined with the dedicated computational pipeline circAidMe, facilitates accurate, fast and highly efficient sequencing of phospho-RNA fragments from eukaryotic cells and tissues. We used circAID-p-seq to portray ribosome occupancy in transcripts, providing a versatile and PCR-free strategy to possibly unravel any endogenous 3'-phospho RNA molecules.


Asunto(s)
ARN , Ribosomas , Biblioteca de Genes , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Fosfatos , ARN/genética , Ribosomas/genética , Análisis de Secuencia de ARN/métodos
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