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Neural circular RNAs are derived from synaptic genes and regulated by development and plasticity

ABSTRACT: Circular RNAs (circRNAs), formed by the atypical head-to-tail splicing of exons, have re-emerged as a potentially interesting RNA species given recent reports of a surprising diversity and abundance of circRNA in organisms ranging from worm to human. Here, using deep RNA sequencing, we profiled different RNA species in mouse and observed that circRNAs are significantly enriched in neural tissue, relative to other tissues. Using PacBio sequencing, we determined, for the first time, the circular structure of this population of circRNAs as well as their full-length sequences. We discovered that a disproportionate fraction of the brain circRNA population is derived from host genes that code for synaptic proteins. Moreover, based on the separate profiling of the RNAs localized in neuronal cell bodies and neuropil (enriched in axons and dendrites), we found that, on average, circular RNAs are more enriched in the neuropil than their host gene mRNA isoforms. Using high resolution in situ hybridization we, for the first time, directly visualized circRNA punctae in the dendrites of neurons. The host gene origin and location of the circRNA in neurons suggest the possibility that circRNAs might participate in the regulation of synaptic function and plasticity. Consistent with this idea, we observed via profiling at different developmental stages, that the abundance of many circular RNAs changes abruptly at a time corresponding to synaptogenesis. In addition, following a homeostatic downscaling of neuronal activity many circRNAs exhibit significant up or down-regulation. These data indicate that brain circRNAs are positioned to respond to and regulate synaptic function.

ORGANISM(S): Mus musculus Rattus norvegicus

PROVIDER: GSE61991 | GEO | 2015/02/25

SECONDARY ACCESSION(S): PRJNA262902

REPOSITORIES: GEO

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Project description:In platelets, splicing and translation occur in the absence of a nucleus. However, the integrity and stability of mRNAs derived from megakaryocyte progenitor cells remain poorly quantified on a transcriptome-wide level. As circular RNAs (circRNAs) are resistant to degradation by exonucleases, their abundance relative to linear RNAs can be used as a surrogate marker for mRNA stability in the absence of transcription. Here we show that circRNAs are enriched in human platelets 17-188 fold relative to nucleated tissues, and 14-26 fold relative to samples digested with RNAseR to selectively remove linear RNA. We compare RNAseq read depths inside and outside circRNAs to provide in silico evidence of transcript circularity, show that exons within circRNAs are enriched ~13X in platelets relative to nucleated tissues, and identify 3162 genes significantly enriched for circRNAs including some where all RNAs appear to be derived from circular molecules. We also confirm that this is a feature of other anucleate cells through transcriptome sequencing of mature erythrocytes, demonstrate that circRNAs are not enriched in megakaryocytes, and that linear RNAs decay more rapidly than circRNAs in platelet preparations. Collectively, these results suggest that circulating platelets have lost on aveage over 90% of their progenitor mRNAs, and that translation in platelets occurrs against the backdrop of a highly degraded transcriptome. Finally, we find that transcripts classified as products of reverse transcriptase template switching are both enriched in platelets and resistant to decay, countering the recent suggestion that up to 50% of rearranged RNAs are artefacts. A single rRNA depleted total RNA sample was sequenced. This together with 25 publicly available rRNA depleted total RNA samples (including 3 from platelets) were analysed using PTESFinder v 1 (http://sourceforge.net/projects/ptesfinder-v1/) to identify back-splice junctions, characteristic of circRNA transcripts. The contribution of circRNA producing exons was analysed on a gene by gene basis as follows: All circRNA transcripts identified in any sample were first pooled to define exons which can contribute to circRNA generation using custom scripts (available on request). For each sample, expression estimates (RPKMI) across all circRNA producing exons were computed for each locus using the total size of exons (in bp) and the read counts mapping to them. Similarly, total size and exonic read counts for exons for which no circRNA were detected in any sample were used to compute expression estimates (RPKME) for non-circRNA producing exons for each locus. Abundance ratios (RPKMI/RPKME and RPKMI/RPKMI+RPKME) were calculated and compared between Platelets and human tissues using Wilcoxon signed-rank test. Please note that the '25sample_info_accn_no.txt' contains the accession numbers and tissue/cell type information for 25 samples analyzed together.

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Neural circular RNAs are derived from synaptic genes and regulated by development and plasticity

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