MyoD Upstream Noncoding RNA (MUNC), initiates in the Distal Regulatory Region enhancer of (DRR), and is formally classified as an enhancer RNA (DRR). MUNC is required for optimal myogenic differentiation, induces specific myogenic transcripts (, , and) and has a functional human homolog. The vast majority of eRNAs are believed to act primarily on their neighboring genes (1) (2), making it likely that MUNC action is dependent on the induction of RNA. Surprisingly, MUNC overexpression in C2C12 cells induces many myogenic transcripts in the complete absence of MyoD protein. Genome wide analysis shows that while many genes are regulated by MUNC in a MyoD dependent manner, there is a set of genes that is regulated by MUNC, both upwards and downwards, independent of MyoD. MUNC and MyoD even appear to act antagonistically on certain transcripts. Deletion mutagenesis shows that there are at least two independent functional sites on the MUNC lncRNA, exon 1 being more active than exon 2, with very little activity from the intron. Thus although MUNC is an eRNA of, it is also a -acting lncRNA whose sequence, structure and co-operating factors that include but are not limited to MyoD, determine the regulation of many myogenic genes.
Background: While clinical factors such as age, grade, stage, and histological subtype provide physicians with information about patient prognosis, genomic data can further improve these predictions. Previous studies have shown that germline variants in known cancer driver genes are predictive of patient outcome, but no study has systematically analyzed multiple cancers in an unbiased way to identify genetic loci that can improve patient outcome predictions made using clinical factors. Methods: We analyzed sequencing data from the over 10,000 cancer patients available through The Cancer Genome Atlas to identify germline variants associated with patient outcome using multivariate Cox regression models. Results: We identified 79 prognostic germline variants in individual cancers and 112 prognostic germline variants in groups of cancers. The germline variants identified in individual cancers provide additional predictive power about patient outcomes beyond clinical information currently in use and may therefore augment clinical decisions based on expected tumor aggressiveness. Molecularly, at least 12 of the germline variants are likely associated with patient outcome through perturbation of protein structure and at least five through association with gene expression differences. Almost half of these germline variants are in previously reported tumor suppressors, oncogenes or cancer driver genes with the other half pointing to genomic loci that should be further investigated for their roles in cancers. Conclusions: Germline variants are predictive of outcome in cancer patients and specific germline variants can improve patient outcome predictions beyond predictions made using clinical factors alone. The germline variants also implicate new means by which known oncogenes, tumor suppressor genes, and driver genes are perturbed in cancer and suggest roles in cancer for other genes that have not been extensively studied in oncology. Further studies in other cancer cohorts are necessary to confirm that germline variation is associated with outcome in cancer patients as this is a proof-of-principle study.
tRNA-derived small fragments (tRFs) and tRNA halves have emerging functions in different biological pathways, such as regulating gene expression, protein translation, retrotransposon activity, transgenerational epigenetic changes and response to environmental stress. However, small RNAs like tRFs and microRNAs in the maternal-fetal interface during gestation have not been studied extensively. Here we investigated the small RNA composition of mouse placenta/decidua, which represents the interface where the mother communicates with the foetus, to determine whether there are specific differences in tRFs and microRNAs during fetal development and in response to maternal immune activation (MIA). Global tRF expression pattern, just like microRNAs, can distinguish tissue types among placenta/decidua, fetal brain and fetal liver. In particular, 5ʹ tRNA halves from tRNA Gly , tRNA Glu , tRNA Val and tRNA Lys are abundantly expressed in the normal mouse placenta/decidua. Moreover, tRF and microRNA levels in the maternal-fetal interface change dynamically over the course of embryonic development. To see if stress alters non-coding RNA expression at the maternalfetal interface, we treated pregnant mice with a viral infection mimetic, which has been shown to promote autism-related phenotypes in the offspring. Acute changes in the levels of specific tRFs and microRNAs were observed 3-6 h after MIA and are suppressed thereafter. A group of 5ʹ tRNA halves is down-regulated by MIA, whereas a group of 18-nucleotide tRF-3a is up-regulated. In conclusion, tRFs show tissue-specificity, developmental changes and acute response to environmental stress, opening the possibility of them having a role in the fetal response to MIA.
miR‐206, miR‐1a‐1, and miR‐1a‐2 are induced during differentiation of skeletal myoblasts and promote myogenesis in vitro. miR‐206 is required for skeletal muscle regeneration in vivo. Although this miRNA family is hypothesized to play an essential role in differentiation, a triple knock‐out (tKO) of the three genes has not been done to test this hypothesis. We report that tKO C2C12 myoblasts generated using CRISPR/Cas9 method differentiate despite the expected derepression of the miRNA targets. Surprisingly, their mitochondrial function is diminished. tKO mice demonstrate partial embryonic lethality, most likely due to the role of miR‐1a in cardiac muscle differentiation. Two tKO mice survive and grow normally to adulthood with smaller myofiber diameter, diminished physical performance, and an increase in PAX7 positive satellite cells. Thus, unlike other miRNAs important in other differentiation pathways, the miR‐206 family is not absolutely essential for myogenesis and is instead a modulator of optimal differentiation of skeletal myoblasts.
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