Circular RNAs are long-lived and display only minimal early alterations in response to a growth factor
| Autor: | Aldema Sas-Chen, Yehoshua Enuka, Mattia Lauriola, Igor Ulitsky, Morris E. Feldman, Yosef Yarden |
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| Přispěvatelé: | Enuka, Yehoshua, Lauriola, Mattia, Feldman, Morris E., Sas-Chen, Aldema, Ulitsky, Igor, Yarden, Yosef |
| Rok vydání: | 2015 |
| Předmět: |
0301 basic medicine
Gene isoform TGF alpha RNA Stability Gene Expression Biology Cell Line 03 medical and health sciences Epidermal growth factor microRNA Gene expression Genetics Humans Breast RNA Messenger Gene Oligonucleotide Array Sequence Analysis Epithelial Cell Epidermal Growth Factor Oligonucleotide Array Sequence Analysi Reverse Transcriptase Polymerase Chain Reaction Gene Expression Profiling RNA MicroRNA Epithelial Cells RNA Circular Transforming Growth Factor alpha Phenotype MicroRNAs 030104 developmental biology Human Heparin-binding EGF-like Growth Factor |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkv1367 |
| Popis: | Circular RNAs (circRNAs) are widespread circles of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and microRNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms with no detectable circRNAs. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. |
| Databáze: | OpenAIRE |
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