Micro RNAs (miRNAs) are involved in diverse biological processes including adaptive response towards abiotic stresses. To unravel small RNAs and more specifically miRNAs that can potentially regulate determinants of abiotic stress tolerance, next generation sequencing of B. juncea seedlings subjected to high temperature, high salt and drought conditions was carried out. With the help of UEA sRNA workbench software package, 51 conserved miRNAs belonging to 30 miRNA families were identified. As there was limited genomic information available for B. juncea, we generated and assembled its genome sequence at a low coverage. Using the generated sequence and other publically available Brassica genomic/transcriptomic resources as mapping reference, 126 novel (not reported in any plant species) were discovered for the first time in B. juncea. Further analysis also revealed existence of 32 and 37 star sequences for conserved and novel miRNAs, respectively. The expression of selected conserved and novel miRNAs under conditions of different abiotic stresses was revalidated through universal TaqMan based real time PCR. Putative targets of identified conserved and novel miRNAs were predicted in B. rapa to gain insights into functional roles manifested by B. juncea miRNAs. Furthermore, SPL2-like, ARF17-like and a NAC domain containing protein were experimentally validated as targets of miR156, miR160 and miR164 respectively. Investigation of gene ontologies linked with targets of known and novel miRNAs forecasted their involvement in various biological functions.
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BMC Genom Data
January 2025
Department of Management Information Systems, National Chung Hsing University, Taichung, 402, Taiwan.
Background: miRNAs (microRNAs) are endogenous RNAs with lengths of 18 to 24 nucleotides and play critical roles in gene regulation and disease progression. Although traditional wet-lab experiments provide direct evidence for miRNA-disease associations, they are often time-consuming and complicated to analyze by current bioinformatics tools. In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data.
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View Article and Find Full Text PDFMikrochim Acta
January 2025
Electroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
A novel electrochemical aptasensor based on bimetallic zirconium and copper oxides embedded within mesoporous carbon (denoted as ZrOCuO@mC) was constructed to detect miRNA. The porous ZrOCuO@mC was created through the pyrolysis of bimetallic zirconium/copper-based metal-organic framework (ZrCu-MOF). The substantial surface area and high porosity of ZrOCuO@mC nanocomposite along with its robust affinity toward aptamer strands, facilitated the effective anchoring of aptamer strands on the ZrOCuO@mC-modified electrode surface.
View Article and Find Full Text PDFJ Mol Endocrinol
January 2025
M Datta, Functional Genomics, CSIR - Institute of Genomics and Integrative Biology, New Delhi, India.
Delayed wound closure is a significant hallmark associated with diabetes. A previous study from our laboratory identified decreased levels of Dicer and miRNAs together with altered levels of wound healing genes in the wounded tissues of diabetic rats. Comprehensive regulators of these wound healing genes mapped onto the PRC2 (polycomb repressive complex 2) complex.
View Article and Find Full Text PDFMol Ther Nucleic Acids
March 2025
Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA 22903, USA.
The CDKN2A gene, responsible for encoding the tumor suppressors p16(INK4A) and p14(ARF), is frequently inactivated in non-small cell lung cancer (NSCLC). Herein, an uncharacterized long non-coding RNA (lncRNA) (ENSG00000267053) on chromosome 19p13.12 was found to be overexpressed in NSCLC cells with an active, wild-type CDKN2A gene.
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