Project description:MicroRNAs are small non-coding RNAs that are critical in post-transcriptional regulation. According to the latest miRBase (v22), there are 617 annotated pre-miRNAs in Macaca mulatta, which is much less than 1917 in human, although both of these two species are primates. To improve the annotation of miRNAs in Macaca mulatta, we generated 12 small RNA profiles from 8 tissues and perform comprehensive analysis of these profiles. We identified 613 conserved pre-miRNAs that have not been reported in Macaca mulatta and 25 novel miRNAs. Furthermore, we identified 996 editing sites with significant editing levels from 250 pre-miRNAs after analyzing the 12 self-generated and 58 additional published sRNA-seq profiles from different types of organs or tissues. Our results show that the distribution of different miRNA editing types in Macaca mulatta is different from that in human brains. Particularly, there are much more small indel events in miRNAs of Macaca mulatta than in human brains. These results significantly increase our understanding of miRNAs and their editing events in Macaca mulatta.
Project description:A systematic investigation of aging patterns across virtually all major tissues in non-human primates, our evolutionarily closest relatives, can provide valuable insights into tissue aging in humans, which is still elusive largely due to the difficulty in sampling. Here, we generated and analyzed multi-omics data, including transcriptome, proteome, and metabolome, from 30 tissues of 17 female rhesus macaques (Macaca mulatta) aged 3 to 27 years. We found that certain molecular features, such as increased inflammation, are consistent across tissues and align with findings in mice and humans. We further revealed that tissue aging in macaques is asynchronous and can be classified into two distinct types, with one type exhibiting more pronounced aging degree, likely associated with decreased mRNA translation efficiency, and predominantly contributing to whole-body aging. This work provides a comprehensive molecular landscape of aging in non-human primate tissues and links translation efficiency to tissue-specific aging.