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1.
Cancers (Basel) ; 13(5)2021 Feb 27.
Article de Anglais | MEDLINE | ID: mdl-33673681

RÉSUMÉ

Neurofibromatosis type 1 (NF1) is caused by heterozygous loss of function mutations in the NF1 gene. Although patients are diagnosed according to clinical criteria and few genotype-phenotype correlations are known, molecular analysis remains important. NF1 displays allelic heterogeneity, with a high proportion of variants affecting splicing, including deep intronic alleles and changes outside the canonical splice sites, making validation problematic. Next Generation Sequencing (NGS) technologies integrated with multiplex ligation-dependent probe amplification (MLPA) have largely overcome RNA-based techniques but do not detect splicing defects. A rapid minigene-based system was set up to test the effects of NF1 variants on splicing. We investigated 29 intronic and exonic NF1 variants identified in patients during the diagnostic process. The minigene assay showed the coexistence of multiple mechanisms of splicing alterations for seven variants. A leaky effect on splicing was documented in one de novo substitution detected in a sporadic patient with a specific phenotype without neurofibromas. Our splicing assay proved to be a reliable and fast method to validate novel NF1 variants potentially affecting splicing and to detect hypomorphic effects that might have phenotypic consequences, avoiding the requirement of patient's RNA.

2.
Int J Mol Sci ; 21(1)2020 Jan 01.
Article de Anglais | MEDLINE | ID: mdl-31906285

RÉSUMÉ

In late 2012 it was evidenced that most of the human genome is transcribed but only a small percentage of the transcripts are translated. This observation supported the importance of non-coding RNAs and it was confirmed in several organisms. The most abundant non-translated transcripts are long non-coding RNAs (lncRNAs). In contrast to protein-coding RNAs, they show a more cell-specific expression. To understand the function of lncRNAs, it is fundamental to investigate in which cells they are preferentially expressed and to detect their subcellular localization. Recent improvements of techniques that localize single RNA molecules in tissues like single-cell RNA sequencing and fluorescence amplification methods have given a considerable boost in the knowledge of the lncRNA functions. In recent years, single-cell transcription variability was associated with non-coding RNA expression, revealing this class of RNAs as important transcripts in the cell lineage specification. The purpose of this review is to collect updated information about lncRNA classification and new findings on their function derived from single-cell analysis. We also retained useful for all researchers to describe the methods available for single-cell analysis and the databases collecting single-cell and lncRNA data. Tables are included to schematize, describe, and compare exposed concepts.


Sujet(s)
ARN long non codant/métabolisme , Lignage cellulaire , Bases de données génétiques , Régulation de l'expression des gènes , Humains , microARN/antagonistes et inhibiteurs , microARN/génétique , microARN/métabolisme , Tumeurs/génétique , Tumeurs/anatomopathologie , Épissage des ARN , ARN long non codant/antagonistes et inhibiteurs , ARN long non codant/génétique , ARN ribosomique/génétique , ARN ribosomique/métabolisme , Analyse sur cellule unique
3.
Cell Rep ; 26(13): 3784-3797.e8, 2019 03 26.
Article de Anglais | MEDLINE | ID: mdl-30917329

RÉSUMÉ

Skeletal muscle is composed of different myofiber types that preferentially use glucose or lipids for ATP production. How fuel preference is regulated in these post-mitotic cells is largely unknown, making this issue a key question in the fields of muscle and whole-body metabolism. Here, we show that microRNAs (miRNAs) play a role in defining myofiber metabolic profiles. mRNA and miRNA signatures of all myofiber types obtained at the single-cell level unveiled fiber-specific regulatory networks and identified two master miRNAs that coordinately control myofiber fuel preference and mitochondrial morphology. Our work provides a complete and integrated mouse myofiber type-specific catalog of gene and miRNA expression and establishes miR-27a-3p and miR-142-3p as regulators of lipid use in skeletal muscle.


Sujet(s)
microARN/génétique , Fibres musculaires squelettiques/métabolisme , Transcriptome , Animaux , Lignée cellulaire , Cellules cultivées , Réseaux de régulation génique , Glycogène/métabolisme , Glycolyse , Humains , Métabolisme lipidique , Mâle , Souris , Souris de lignée C57BL , microARN/métabolisme , Mitochondries du muscle/métabolisme , Mitochondries du muscle/ultrastructure , Phosphorylation oxydative
4.
Nucleic Acids Res ; 47(4): 1653-1670, 2019 02 28.
Article de Anglais | MEDLINE | ID: mdl-30649422

RÉSUMÉ

Long non-coding RNAs (lncRNAs) are emerging as important players in the regulation of several aspects of cellular biology. For a better comprehension of their function, it is fundamental to determine their tissue or cell specificity and to identify their subcellular localization. In fact, the activity of lncRNAs may vary according to cell and tissue specificity and subcellular compartmentalization. Myofibers are the smallest complete contractile system of skeletal muscle influencing its contraction velocity and metabolism. How lncRNAs are expressed in different myofibers, participate in metabolism regulation and muscle atrophy or how they are compartmentalized within a single myofiber is still unknown. We compiled a comprehensive catalog of lncRNAs expressed in skeletal muscle, associating the fiber-type specificity and subcellular location to each of them, and demonstrating that many lncRNAs can be involved in the biological processes de-regulated during muscle atrophy. We demonstrated that the lncRNA Pvt1, activated early during muscle atrophy, impacts mitochondrial respiration and morphology and affects mito/autophagy, apoptosis and myofiber size in vivo. This work corroborates the importance of lncRNAs in the regulation of metabolism and neuromuscular pathologies and offers a valuable resource to study the metabolism in single cells characterized by pronounced plasticity.


Sujet(s)
Mitochondries/génétique , Amyotrophie/génétique , ARN long non codant/génétique , Analyse sur cellule unique/méthodes , Animaux , Apoptose/génétique , Compartimentation cellulaire/génétique , Femelle , Analyse de profil d'expression de gènes , Génome humain/génétique , Humains , Hybridation fluorescente in situ , Souris , Mitochondries/anatomopathologie , Mitophagie/génétique , Contraction musculaire/génétique , Muscles squelettiques/métabolisme , Muscles squelettiques/anatomopathologie , Amyotrophie/anatomopathologie
5.
Bio Protoc ; 9(19): e3378, 2019 Oct 05.
Article de Anglais | MEDLINE | ID: mdl-33654874

RÉSUMÉ

Skeletal muscle is composed of different cells and myofiber types, with distinct metabolic and structural features. Generally, transcriptomic analysis of skeletal muscle is performed using whole muscle, resulting in average information as all cells composing the organ contribute to the expression value detected for each gene with the loss of information about the distinctive features of each specific myofiber type. Since myofibers are the smallest complete contractile system of skeletal muscle influencing its contraction velocity and metabolism, it would be beneficial to have fiber-specific information about gene expression. Here, we describe a protocol for the isolation and the transcriptomic analysis of single individual myofibers. The protocol was set up using single myofibers isolated from soleus and Extensor Digitorum Longus (EDL) muscles, but it can be applied to all skeletal muscles. Briefly, muscles are enzymatically dissociated and individually collected. Long RNAs (> 200 nt) and short RNAs (< 200 nt) are separately purified from each myofiber and used to produce libraries for microarray or sequencing analysis. Through this approach, myofiber-specific transcriptional profiles can be produced, free from transcripts from other non-contractile cell types, in order to identify mRNA-miRNA-lncRNA regulatory networks specific for each myofiber type.

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