Dataset Information

The rRNA epitranscriptome and myonuclear SNORD landscape in skeletal muscle fibers contributes to ribosome heterogeneity and is altered by hypertrophic stimulus

ABSTRACT: In cell biology, ribosomal RNA (rRNA) 2'O-methyl (2'-O-Me) is the most prevalent post-transcriptional chemical modification contributing to ribosome heterogeneity. The modification involves a family of small nucleolar RNAs (snoRNAs) and is specified by box C/D snoRNAs (SNORDs). Given the importance of ribosome biogenesis for skeletal muscle growth, we asked if rRNA 2'-O-Me in nascent ribosomes synthesized in response to a growth stimulus is an unrecognized mode of ribosome heterogeneity in muscle. To determine the pattern and dynamics of 2'-O-Me rRNA, we used a sequencing-based profiling method called RiboMeth-seq. We applied this method to tissue-derived rRNA of skeletal muscle and rRNA specifically from the muscle fiber using an inducible myofiber-specific RiboTag mouse in sedentary and mechanically overloaded conditions. These analyses were complemented by myonuclear-specific small RNA sequencing to profile SNORDs and link the rRNA epitranscriptome to known regulatory elements generated within the muscle fiber. We demonstrate for the first time that mechanical overload of skeletal muscle 1) induces decreased 2'-O-Me at a subset of skeletal muscle rRNAand 2) alters the SNORD profile in isolated myonuclei. These findings point to a transient diversification of the ribosome pool via 2'-O-Me during growth and adaptation in skeletal muscle. These findings suggest changes in ribosome heterogeneity at the 2'-O-Me level during muscle hypertrophy and lay the foundation for studies investigating the functional implications of these newly identified "growth-induced" ribosomes.

ORGANISM(S): Mus musculus

PROVIDER: GSE273053 | GEO | 2024/07/24

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: Ribosome profiling and RNA-Seq were used to map the location and abundance of translating ribosomes on mouse heart and skeletal muscle transcripts. Methods: Tissue was rapidly harvested and snap-frozen to minimize bias to the pool of translating ribosomes. RNA was prepared from a single homogenate for each tissue so that starting RNA populations for both libraries were closely matched. Homogenates were not clarified before RNase digestion to avoid loss of ribosomes associated with large molecular weight complexes, and RNA-Seq libraries were prepared after rRNA subtraction to avoid positional loss of 5’ reads. Trimmed reads from 50 cycles of Illumina single-end sequencing were mapped onto a non-redundant set of 18,499 mouse protein-coding RefSeq transcripts from the nuclear genome. Results: Mapped sequence reads to myosin, actin and the giant protein titin together account for ~20% of the total mRNA-derived ribosome protected fragments (RPFs). We observed large-scale uniformity in the distribution of RPFs on the >30,000 codon titin open reading frame, from which we inferred an in vivo ribosome elongation error rate of ≤10-5. Ribosome footprints on Ttn mRNA also uncovered a novel 5’ UTR within a phylogenetically conserved intronic element that would produce ~2.35 mDa titin isoform that corresponds to the titin 'T2' band frequently described as a proteolytic artifact. Local translation efficiency across several >10 kb muscle mRNAs was also uniform, while their global translation efficiencies varied by ~20-fold suggesting initiation rate plays a major role in the translation efficiency of large mRNAs. Evidence for RPFs on 5’ UTRs was widespread with particular enrichment for ribosomes positioned at CUG codons. Comparison of global translation efficiency in cardiac and skeletal muscle revealed novel examples of tissue-specific translational control including synthesis of the myogenic factor Mef2c, and the titin-binding stress response protein Ankrd23. Conclusions: Our study represents the first detailed analysis of translation in an adult mammalian tissue generated by ribosome profiling technology. Current limitations to using ribosomal profiling in tissues include unknown perturbations to the dynamic state of translation despite rapidly harvested and snap-frozen samples. The uniform 5’ to 3’ coverage observed on individual large mRNAs and the ability to observe footprints on the extremely small phospholamban coding sequence, suggests that initiation and elongation were halted on similar time scales. More detailed examination of the positional information within CDS region requires further understanding of the bias introduced during the library preparation steps for both RPF-and RNA-Seq, as well as local biases induced as translation is arrested. Despite these qualifications, this initial view of active translation in muscle tissue highlights the potential for ribosome profiling to monitor the dynamic translation response to exercise, injury or disease pathology in animal models at a level of resolution not easily attainable with other quantitative approaches. Heart and skeletal muscle ribosome-protected fragment and RNA-Seq profiles of 10-week old C57BL/6J male mice were generated by deep sequencing using the Illumina HiSeq 2000.

Dataset Information

The rRNA epitranscriptome and myonuclear SNORD landscape in skeletal muscle fibers contributes to ribosome heterogeneity and is altered by hypertrophic stimulus

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets