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High Resolution Genome Wide Expression Analysis of Single Myofibers Using SMART-Seq

ABSTRACT: High Resolution Genome Wide Expression Analysis of Single Myofibers Using SMART-Seq

PROVIDER: PRJNA558565 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9904840.fastq.gz	Fastqsanger.gz
	SRR9904841.fastq.gz	Fastqsanger.gz
	SRR9904842.fastq.gz	Fastqsanger.gz
	SRR9904843.fastq.gz	Fastqsanger.gz
	SRR9904844.fastq.gz	Fastqsanger.gz

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High Resolution Genome Wide Expression Analysis of Single Myofibers Using SMART-Seq

Project description:Skeletal muscle is a heterogeneous tissue. Individual myofibers that make up the contractile muscle tissue exhibit variation in their metabolic and contractile properties. Although there are biochemical and histological assays to study myofiber heterogeneity, methods to analyze the transcriptomes of individual myofibers are lacking. We have developed single myofiber RNA-Seq (smfRNA-Seq) to analyze the whole transcriptome of an individual myofiber by combining single fiber isolation with Switching Mechanisms at 5’ end of RNA Template (SMART) technology. Our method provides high-resolution genome wide expression profiles of single myofibers. This method will be useful to study developmental and age-related dynamics in the composition of skeletal muscle.

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High-resolution genome-wide expression analysis of single myofibers using SMART-Seq.

Project description:Skeletal muscle is a heterogeneous tissue. Individual myofibers that make up muscle tissue exhibit variation in their metabolic and contractile properties. Although biochemical and histological assays are available to study myofiber heterogeneity, efficient methods to analyze the whole transcriptome of individual myofibers are lacking. Here, we report on a single-myofiber RNA-sequencing (smfRNA-Seq) approach to analyze the whole transcriptome of individual myofibers by combining single-fiber isolation with Switching Mechanism at 5' end of RNA Template (SMART) technology. Using smfRNA-Seq, we first determined the genes that are expressed in the whole muscle, including in nonmyogenic cells. We also analyzed the differences in the transcriptome of myofibers from young and old mice to validate the effectiveness of this new method. Our results suggest that aging leads to significant changes in the expression of metabolic genes, such as Nos1, and structural genes, such as Myl1, in myofibers. We conclude that smfRNA-Seq is a powerful tool to study developmental, disease-related, and age-related changes in the gene expression profile of skeletal muscle.

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Project description:Large-scale sequencing of RNAs from individual cells can reveal patterns of gene, isoform and allelic expression across cell types and states. However, current single-cell RNA-sequencing (scRNA-seq) methods have limited ability to count RNAs at allele- and isoform resolution, and long-read sequencing techniques lack the depth required for large-scale applications across cells. Here, we introduce Smart-seq3 that combines full-length transcriptome coverage with a 5’ unique molecular identifier (UMI) RNA counting strategy that enabled in silico reconstruction of thousands of RNA molecules per cell. Importantly, a large portion of counted and reconstructed RNA molecules could be directly assigned to specific isoforms and allelic origin, and we identified significant transcript isoform regulation in mouse strains and human cell types. Moreover, Smart-seq3 showed a dramatic increase in sensitivity and typically detected thousands more genes per cell than Smart-seq2. Altogether, we developed a short-read sequencing strategy for single-cell RNA counting at isoform and allele-resolution applicable to large-scale characterization of cell types and states across tissues and organisms.

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Dystrophic single myofibers vs. control single myofibers

Project description:MicroRNA-expression profile of dystrophic single fibers compared to wild type single fibers isolated from different muscles of mdx and C57BL mice. Myofibers were isolated from different muscle types (tibialis, diaphragm and quadriceps) of gender- (male) and age- (3 month old and half) matched wt and dystrophic mice. 9 total samples per animal model (C57BL, mdx), 3 replicates per muscle type.

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