The ability to form full-length intron RNA circles is a general property of nuclear group I introns

In addition to splicing, group I intron RNA is capable of an alternative two-step processing pathway that results in the formation of full-length intron circular RNA. The circularization pathway is initiated by hydrolytic cleavage at the 3′ splice site and followed by a transesterification reaction in which the intron terminal guanosine attacks the 5′ splice site presented in a structure analogous to that of the first step of splicing. The products of the reactions are full-length circular intron and unligated exons. For this reason, the circularization reaction is to the benefit of the intron at the expense of the host. The circularization pathway has distinct structural requirements that differ from those of splicing and appears to be specifically suppressed in vivo. The ability to form full-length circles is found in all types of nuclear group I introns, including those from the Tetrahymena ribosomal DNA. The biological function of the full-length circles is not known, but the fact that the circles contain the entire genetic information of the intron suggests a role in intron mobility

Direct small RNA signatures in extracellular vesicles from breast cancer cell lines

Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers

Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines

MicroRNA profiling represents an important first-step in deducting individual RNA-based regulatory function in a cell, tissue, or at a specific developmental stage. Currently there are several different platforms to choose from in order to make the initial miRNA profiles. In this study we investigate recently developed digital microRNA high-throughput technologies. Four different platforms were compared including next generation SOLiD ligation sequencing and Illumina HiSeq sequencing, hybridization-based NanoString nCounter, and miRCURY locked nucleic acid RT-qPCR. For all four technologies, full microRNA profiles were generated from human cell lines that represent noninvasive and invasive tumorigenic breast cancer. This study reports the correlation between platforms, as well as a more extensive analysis of the accuracy and sensitivity of data generated when using different platforms and important consideration when verifying results by the use of additional technologies. We found all the platforms to be highly capable for microRNA analysis. Furthermore, the two NGS platforms and RT-qPCR all have equally high sensitivity, and the fold change accuracy is independent of individual miRNA concentration for NGS and RT-qPCR. Based on these findings we propose new guidelines and considerations when performing microRNA profiling

The group of non-miRNA small RNA species distinguished the EVs from their parental cell lines.

<p><b>A)</b> Transcriptome subtype distribution of small RNA sequence reads combined for the nine breast cancer cell lines and for the nine breast cancer EVs. <b>B)</b> The expression level of the 20 most abundant small RNAs in the EVs is compared to the expression in the parental cells. RPM, reads per million. <b>C)</b> Mapping of all small RNA fragments to the 28S rRNA genomic region. Fragments compromising the first 22 nt of 28S rRNA is clearly present at a much higher level than the corresponding transcript. <b>D)</b> The expression level of the 20 most abundant small RNAs in the cell lines is compared to the expression in corresponding EVs.</p

Number of unique non-miRNA small RNAs and miRNAs (tags) detected in the nine breast cancer EVs.

<p>Number of unique non-miRNA small RNAs and miRNAs (tags) detected in the nine breast cancer EVs.</p

Data analysis pipeline for reads generated from small RNA SOLiD sequencing in the breast cancer cell lines and their corresponding EVs.

<p>Data analysis pipeline for reads generated from small RNA SOLiD sequencing in the breast cancer cell lines and their corresponding EVs.</p