Literature DB >> 36271017

The distance distribution of human microRNAs in MirGeneDB database.

Hsiuying Wang1.   

Abstract

MicroRNAs (miRNAs) are small single-stranded non-coding RNAs around 22 nucleotide lengths found in organisms, playing an important role in cell differentiation, development, gene regulation, and apoptosis. The distance of disease miRNA biomarkers has been used to explore the association between various diseases as well as the association between virus and disease in the literature. To date, there have been no studies on deriving the distribution of the pairwise distance of human miRNAs. As the pairwise distance of miRNA biomarkers might be a useful tool in studying the disease association, in this paper, the distance distributions of human miRNAs were derived such that they could be used to measure the closeness between miRNAs. Two distance models were used to calculate the pairwise distances of 567 Homo sapiens miRNA genes accessed from the MirGeneDB database. These miRNA pairwise distances were fitted by the normal distribution, gamma distribution, empirical cumulative distribution, and the kernel density estimation method. This is the first study to provide the distance distribution of human miRNAs. The similarity of miRNA biomarkers for several diseases was examined using the derived distributions.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36271017     DOI: 10.1038/s41598-022-22253-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  33 in total

Review 1.  MicroRNA-613: A novel tumor suppressor in human cancers.

Authors:  Jie Mei; Rui Xu; Leiyu Hao; Yan Zhang
Journal:  Biomed Pharmacother       Date:  2019-12-23       Impact factor: 6.529

Review 2.  Regulation of microRNA biogenesis.

Authors:  Minju Ha; V Narry Kim
Journal:  Nat Rev Mol Cell Biol       Date:  2014-07-16       Impact factor: 94.444

3.  microRNAs: a newly described class of encoded molecules that play a role in health and disease.

Authors:  K Felekkis; E Touvana; Ch Stefanou; C Deltas
Journal:  Hippokratia       Date:  2010-10       Impact factor: 0.471

Review 4.  Predicting cancer-related MiRNAs using expression profiles in tumor tissue.

Authors:  Hsiuying Wang
Journal:  Curr Pharm Biotechnol       Date:  2014       Impact factor: 2.837

Review 5.  OncomiR or Tumor Suppressor? The Duplicity of MicroRNAs in Cancer.

Authors:  Alexander A Svoronos; Donald M Engelman; Frank J Slack
Journal:  Cancer Res       Date:  2016-06-20       Impact factor: 12.701

Review 6.  Altered microRNA processing proteins in HPV-induced cancers.

Authors:  Barbara C Snoek; Iris Babion; Danijela Koppers-Lalic; Dirk M Pegtel; Renske Dm Steenbergen
Journal:  Curr Opin Virol       Date:  2019-08-10       Impact factor: 7.090

7.  The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.

Authors:  R C Lee; R L Feinbaum; V Ambros
Journal:  Cell       Date:  1993-12-03       Impact factor: 41.582

8.  Deep Sequencing Transcriptome Analysis of Murine Wound Healing: Effects of a Multicomponent, Multitarget Natural Product Therapy-Tr14.

Authors:  Georges St Laurent; Bernd Seilheimer; Michael Tackett; Jianhua Zhou; Dmitry Shtokalo; Yuri Vyatkin; Maxim Ri; Ian Toma; Dan Jones; Timothy A McCaffrey
Journal:  Front Mol Biosci       Date:  2017-08-17

9.  Vypal2: A Versatile Peptide Ligase for Precision Tailoring of Proteins.

Authors:  Dingpeng Zhang; Zhen Wang; Side Hu; Julien Lescar; James P Tam; Chuan-Fa Liu
Journal:  Int J Mol Sci       Date:  2021-12-31       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.