The scarecrow (scro) gene encodes a fly homolog of mammalian Nkx2.1 which is vital for early fly development as well as for optic lobe development. Previously, scro was reported to produce a circular RNA (circRNA) in addition to traditional mRNAs. In this study, we report 12 different scro circRNAs, which are either mono- or multi-exonic forms. The most abundant ones are circScro(2) carrying the second exon (E2) only and bi-exonic circScro(3,4) having both the third (E3) and fourth exon (E4). Levels of circScro(2) show an age-dependent increase in adult heads, supporting a general trend of high accumulation of circRNAs in aged fly brains. In silico analysis of the introns flanking circRNA exons predicts two pairs of intronic complementary sequences (ICSs); one pair residing in introns 1 and 2 and the other in introns 2 and 4. The first pair was demonstrated to be essential for the circScro(2) production in cell-based assays; furthermore, deletion of the region including ICS components in the intron-2 reduces in vivo production of both circScro(2) and circScro(3,4) by 80%, indicating them to be essential for the biogenesis of the two circRNAs. Besides the ICS, the intron regions immediately abutting exons seem to be responsible for a basal level of circRNA formation. Moreover, ectopic ICS derived from the laccase2 locus is comparably effective in circScro production, buttressing the importance of the hairpin-loop structure formed by ICS for the biogenesis of circRNA. Lastly, overexpressed scro alters outcomes of both linear and circular RNAs from the endogenous scro locus, suggesting that Scro plays a direct or indirect role in regulating the expression levels of either or both forms.
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http://dx.doi.org/10.1093/g3journal/jkaf055 | DOI Listing |
G3 (Bethesda)
March 2025
Department of Life Sciences, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Republic of Korea.
The scarecrow (scro) gene encodes a fly homolog of mammalian Nkx2.1 which is vital for early fly development as well as for optic lobe development. Previously, scro was reported to produce a circular RNA (circRNA) in addition to traditional mRNAs.
View Article and Find Full Text PDF3 Biotech
April 2025
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India.
Clove (), valued for its role in food preservation and medicine, has recently drawn research interest for its noncoding RNAs (ncRNAs). This study discovers 3274 long noncoding RNAs (lncRNAs) and 2404 circular RNAs (circRNAs) from publicly available RNAseq data. We identified the regulation of 834 genes through miRNA-lncRNA-mRNA network interactions.
View Article and Find Full Text PDFOncol Lett
April 2025
Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Circular RNAs (circRNAs) are closely associated with human tumorigenesis; however, whether hsa_circ_0004846 serves a role in the progression of papillary thyroid carcinoma (PTC) remains unclear. Therefore, the present study aimed to investigate the effect of hsa_circ_0004846 on PTC. The results demonstrated that circ_0004846 was abnormally upregulated in PTC tissues and thyroid cancer cell lines (BCPAP, TPC-1 and IHH-4).
View Article and Find Full Text PDFOncol Lett
April 2025
Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China.
During the development and progression of lung cancer, cell metabolism function is altered. Thus, cells rely on aerobic glycolysis and abnormal lipid and amino acid metabolism to obtain energy and nutrients for growth, proliferation and drug resistance. Circular RNAs (circRNAs), a class of non-coding RNAs, serve important biological roles in the growth and development of tumors.
View Article and Find Full Text PDFBMC Biol
March 2025
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China.
Background: RNA-binding proteins (RBPs) play crucial roles in many biological processes, and computationally identifying RNA-RBP interactions provides insights into the biological mechanism of diseases associated with RBPs.
Results: To make the RBP-specific deep learning-based RBP binding sites prediction methods easily accessible, we developed an updated easy-to-use webserver, RBPsuite 2.0, with an updated web interface for predicting RBP binding sites from linear and circular RNA sequences.
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