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A Short note on MicroRNA Biogenesis | SciTechnol

Journal of Applied Bioinformatics & Computational Biology.ISSN: 2329-9533

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Commentary, J Appl Bioinforma Comput Biol Vol: 10 Issue: 6

A Short note on MicroRNA Biogenesis

Akhila Sabbineni*

Department of Microbiology, Andhra University, Vishakapatnam, Andhrapradesh, India

*Corresponding authors: Akhila Sabbineni, Department of Microbiology, Andhra University, Vishakapatnam, Andhrapradesh, India; E-mail: sabbineni21Akhii@gmail.com

Received: J u n e 18, 2021 Accepted: June 22, 2021 Published: June 29, 2021

Abstract

MicroRNAs (miRNAs), a category of endogenous, tiny, non-coding RNAs, square measure master regulators of organic phenomenon among most eukaryotes. living thing miRNA abundance is regulated beneath multiple levels of management as well as transcription, processing, RNA modification, RNA-induced silencing complicated (RISC) assembly, miRNA-target interaction, and turnover. during this review, we have a tendency to summarize our current understanding of the molecular parts and mechanisms that influence miRNA biogenesis, physiological state, and degradation in plants. we have a tendency to conjointly create comparisons with findings from alternative organisms wherever necessary

Keywords: MicroRNA Biogenesis

MicroRNAs (miRNAs), a category of endogenous, tiny, noncoding RNAs, square measure master regulators of organic phenomenon among most eukaryotes. living thing miRNA abundance is regulated beneath multiple levels of management as well as transcription, processing, RNA modification, RNA-induced silencing complicated (RISC) assembly, miRNA-target interaction, and turnover. during this review, we have a tendency to summarize our current understanding of the molecular parts and mechanisms that influence miRNA biogenesis, physiological state, and degradation in plants. we have a tendency to conjointly create comparisons with findings from alternative organisms wherever necessary. The discovery of the primary microRNA (miRNA), lin-4, in 1993 by the Ambros and Ruvkun teams in Caenorhabditis elegans (1, 2) has revolutionized the sector of biology. Years before, lin-4 was characterised by the Horvitz's research laboratory collectively of the genes that regulate temporal development of C. elegans larvae (3, 4). Later in 1987, constant cluster found that a mutation in lin-4 had Associate in Nursing opposite constitution to a mutation in another factor, lin-14, however a lin-14 suppressor mutation in a very null-lin4 line was wildtype. each Ambros and Ruvkun continued to review lin-4 and lin-14 once departure the Horvitz's research laboratory, solely to find later that lin-4 wasn't a protein-coding RNA however so alittle non-coding RNA.

Key points on miRNA Biogenesis

Recent progress in high-throughput sequencing has uncovered Associate in Nursing astounding landscape of tiny RNAs in eukaryotic cells. numerous tiny RNAs of distinctive characteristics are found and may be classified into 3 categories supported their biogenesis mechanism and therefore the style of Argonaute (Ago) macromolecule that they're related to. MicroRNAs (miRNAs) square measure generated from native pin structures by the action of 2 ribonucleinase III-type proteins, Drosha and mechanical device. Mature ∼22-nucleotide (nt) miRNAs square measure then certain by Ago-subfamily proteins. miRNAs target mRNAs and thereby operate as post-transcriptional regulators.

In the simulation of sequencing depth, the set of pooled scans of the ninety four samples was parsed specified for every read it had been maintained with 100% chance. Following this step, the complete miRNA prediction analysis was performed, from ordering mapping to partitioning of overlapping hairpins, as delineate antecedently during this paper. we have a tendency to noted what percentage novel miRNA hairpins were reportable, and conjointly what percentage of those hairpins overlapped with our set of high-confidence hairpins (the ones that were supported by a minimum of 2 varieties of extra evidence; extra file 4: Figure S6). This analysis was continual ninefold with possibilities of retentive every scan from 100% to ninetieth. The simulation of datasets was performed in a very similar method, except that entire datasets rather than individual reads were maintained or discarded. during this case, we have a tendency to ensured that variety|the amount|the quantity} of datasets discarded was among one dataset of the mean expected maintained number of samples.

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