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An estimate of the total number of true human miRNAs.

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TLDR
The experimentally validated miRNAs will contribute to revising targetomes hypothesized by utilizing falsely annotated miRNA candidates, 1115 of which are currently annotated in miRBase V22.
Abstract
While the number of human miRNA candidates continuously increases, only a few of them are completely characterized and experimentally validated. Toward determining the total number of true miRNAs, we employed a combined in silico high- and experimental low-throughput validation strategy. We collected 28 866 human small RNA sequencing data sets containing 363.7 billion sequencing reads and excluded falsely annotated and low quality data. Our high-throughput analysis identified 65% of 24 127 mature miRNA candidates as likely false-positives. Using northern blotting, we experimentally validated miRBase entries and novel miRNA candidates. By exogenous overexpression of 108 precursors that encode 205 mature miRNAs, we confirmed 68.5% of the miRBase entries with the confirmation rate going up to 94.4% for the high-confidence entries and 18.3% of the novel miRNA candidates. Analyzing endogenous miRNAs, we verified the expression of 8 miRNAs in 12 different human cell lines. In total, we extrapolated 2300 true human mature miRNAs, 1115 of which are currently annotated in miRBase V22. The experimentally validated miRNAs will contribute to revising targetomes hypothesized by utilizing falsely annotated miRNAs.

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Citations
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MicroRNA Profiling of Self-Renewing Human Neural Stem Cells Reveals Novel Sets of Differentially Expressed microRNAs During Neural Differentiation In Vitro.

TL;DR: In this article , a comprehensive miRNA profiling was presented, revealing novel sets of miRNAs differentially expressed during human neural cell fate determination in vitro, and they reported a miRNA expression profile of self-renewing human NSCs.
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MicroRNA (miRNA) Complexity in Alzheimer’s Disease (AD)

Walter J. Lukiw
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TL;DR: In this paper , the authors focus on recent studies, developments and advancements in their appreciation and understanding of the complexity of miRNA signaling in Alzheimer's disease-affected brain hippocampal CA1 compared to age-and gender-matched controls.
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Epigenetics of methylmercury.

TL;DR: A review of the experimental and epidemiological literature on MeHg-associated epigenetic changes is presented in this article , where the authors identify changes in DNA methylation following in- utero exposure to methylmercury and some of the changes appear to be persistent.
Book ChapterDOI

Epigenetics in spine curvature disorders

TL;DR: In this paper, the most relevant epigenetic mechanisms and epigenetic biomarkers, which may favor the implementation of precision medicine in scoliosis treatment, are presented, and the early diagnosis and the accurate prediction of curve progression are of special relevance in clinical settings.
References
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Journal ArticleDOI

MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
Journal ArticleDOI

MicroRNAs: Target Recognition and Regulatory Functions

TL;DR: The current understanding of miRNA target recognition in animals is outlined and the widespread impact of miRNAs on both the expression and evolution of protein-coding genes is discussed.
Journal ArticleDOI

The functions of animal microRNAs

TL;DR: Evidence is mounting that animal miRNAs are more numerous, and their regulatory impact more pervasive, than was previously suspected.
Journal ArticleDOI

Characteristics of a Human Cell Line Transformed by DNA from Human Adenovirus Type 5

TL;DR: Human embryonic kidney cells have been transformed by exposing cells to sheared fragments of adenovirus type 5 DNA, and the transformed cells exhibited many of the characteristics of transformation including the elaboration of a virus-specific tumour antigen.
Journal ArticleDOI

miRBase: annotating high confidence microRNAs using deep sequencing data.

TL;DR: An update of the miRBase database is described, including the collation and use of deep sequencing data sets to assign levels of confidence to miR base entries, and a high confidence subset of miR Base entries are provided, based on the pattern of mapped reads.
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