Abstract
The single-cell analysis is becoming a powerful method for early detection of the abnormal variant in tissues, especially for profiling a small number of heterogeneous cells. With the advancement of sequencing technologies, many types of non-coding elements including miRNAs and lncRNAs which shed light on their heterogeneous patterns and functions among cells, have been profiled at the single-cell level. However, the complete picture of circRNA profile at single-cell level is still lacking. In this study, RNA-Seq data obtained from single HEK293T cells have been used to analyze expressions and functions of heterogeneous circRNA profiles. The enrichment patterns of circRNAs, interactions with miRNAs and pathways such as ErbB signaling pathway and protein processing in endoplasmic reticulum, have also been investigated. The results showed that circRNAs had a specific distribution pattern which was implicated with expression, miRNA and functional profiles at single-cell level. This assessment study of the expressions and functions of circRNAs at single-cell level shed light on heterogeneities among single cells.
Highlights
In recent years, with the advancement of generation sequencing technologies, great progress has been made in transcriptome researches[1,2,3], most of which were paid attention to bulk samples
It was found that the single-cell circRNA profiles might have a specific distribution pattern which was implicated with expression, miRNA and functional profiles at the single-cell level
To avoid the technical bias, we focused on the 410 circRNAs found by all the four methods, and the 68 circRNAs in 7 another single cells were taken into account
Summary
With the advancement of generation sequencing technologies, great progress has been made in transcriptome researches[1,2,3], most of which were paid attention to bulk samples. To meet the demand of comprehensive detection of circRNAs, several different pipelines with better performance in circRNA analysis have been developed, including find_circ[19], CIRI26, circRNAFinder[27], CIRCexplorer[28], UROBORUS29, etc., for further study of circRNAs. most of existing work on circRNA is based on bulk sequencing, in which individual cell properties and heterogeneities are hidden. Much progress has been made in circRNA analysis, neither the circRNA expression pattern nor the specific circRNA function at the single-cell level has been reported. We performed expression profile and heterogeneity pattern analysis at single-cell level. It was found that the single-cell circRNA profiles might have a specific distribution pattern which was implicated with expression, miRNA and functional profiles at the single-cell level
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