Aims We and others have previously described the expression landscape of circular RNA (circRNA) in mouse and human hearts. However, the functional relevance of many of these abundantly expressed cardiomyocyte circRNA remains to be fully explored. Among the most abundant circRNA, one stems from the sodium-calcium exchanger gene, Slc8a1, exon 2 locus. Because of its very high abundance in cardiomyocytes we investigated the possible role of circSlc8a1 in the heart. Methods and results We performed a miRNA screen using an array of 752 miRNAs with RNA recovered from a pull-down of endogenous cardiomyocyte circSlc8a1. MicroRNA-133a (miR-133a), with a prior well-recognized role in cardiac hypertrophy, was highly enriched in the fraction of circSlc8a1 pull-down (adjusted P-value < 0.001). We, therefore, followed-up validation of the functional interaction between circSlc8a1 and miR-133 using luciferase assays and reciprocal pull-down assays. In vivo, AAV9-mediated RNAi knockdown of circSlc8a1 attenuates cardiac hypertrophy from pressure-overload, whereas forced cardiomyocyte specific overexpression of circSlc8a1 resulted in heart failure. Molecular analyses showed targets of miR-133a including serum response factor (Srf), connective tissue growth factor (Ctgf), adrenoceptor beta 1 (Adrb1), and adenylate cyclase 6 (Adcy6) to be regulated by circSlc8a1-directed intervention of knockdown and overexpression. Conclusion In summary, circSlc8a1 can function as an endogenous sponge for miR-133a in cardiomyocytes. We propose that circSlc8a1 may serve as a novel therapeutic target for cardiac hypertrophy.

Several recent studies have portrayed DNA methylation as a new player in the recruitment of transcription factors (TF) within chromatin, highlighting a need to connect TF binding sites (TFBS) with their respective DNA methylation profiles. However, current TFBS databases are restricted to DNA binding motif sequences. Here, we present MethMotif, a two-dimensional TFBS database that records TFBS position weight matrices along with cell type specific CpG methylation information computed from a combination of ChIP-seq and whole genome bisulfite sequencing datasets. Integrating TFBS motifs with TFBS DNA methylation better portrays the features of DNA loci recognised by TFs. In particular, we found that DNA methylation patterns within TFBS can be cell specific (e.g. MAFF). Furthermore, for a given TF, different DNA methylation profiles are associated with different DNA binding motifs (e.g. REST). To date, MethMotif database records over 500 TFBSs computed from over 2000 ChIP-seq datasets in 11 different cell types. MethMotif portal is accessible through an open source web interface (https://bioinfo-csi.nus.edu.sg/methmotif) that allows users to intuitively explore the entire dataset and perform both single, and batch queries.

Open chromatin profiling integrates information across diverse regulatory elements to reveal the transcriptionally active genome. Tn5 transposase and DNase I sequencing-based methods prefer native or high cell numbers. Here, we describe NicE-seq (nicking enzyme assisted sequencing) for high-resolution open chromatin profiling on both native and formaldehyde-fixed cells. NicE-seq captures and reveals open chromatin sites (OCSs) and transcription factor occupancy at single nucleotide resolution, coincident with DNase hypersensitive and ATAC-seq sites at a low sequencing burden. OCSs correlate with RNA polymerase II occupancy and active chromatin marks, while displaying a contrasting pattern to CpG methylation. Decitabine-mediated hypomethylation of HCT116 displays higher numbers of OCSs.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-017-1247-6) contains supplementary material, which is available to authorized users.