Literature DB >> 27573892

Non-coding RNAs: Classification, Biology and Functioning.

Sonja Hombach1, Markus Kretz2.   

Abstract

One of the long-standing principles of molecular biology is that DNA acts as a template for transcription of messenger RNAs, which serve as blueprints for protein translation. A rapidly growing number of exceptions to this rule have been reported over the past decades: they include long known classes of RNAs involved in translation such as transfer RNAs and ribosomal RNAs, small nuclear RNAs involved in splicing events, and small nucleolar RNAs mainly involved in the modification of other small RNAs, such as ribosomal RNAs and transfer RNAs. More recently, several classes of short regulatory non-coding RNAs, including piwi-associated RNAs, endogenous short-interfering RNAs and microRNAs have been discovered in mammals, which act as key regulators of gene expression in many different cellular pathways and systems. Additionally, the human genome encodes several thousand long non-protein coding RNAs >200 nucleotides in length, some of which play crucial roles in a variety of biological processes such as epigenetic control of chromatin, promoter-specific gene regulation, mRNA stability, X-chromosome inactivation and imprinting. In this chapter, we will introduce several classes of short and long non-coding RNAs, describe their diverse roles in mammalian gene regulation and give examples for known modes of action.

Entities:  

Keywords:  Biogenesis; Classification; Function; Non-coding RNA; lncRNA; miRNA; piRNA; rRNA; snRNA; snoRNA; tRNA

Mesh:

Substances:

Year:  2016        PMID: 27573892     DOI: 10.1007/978-3-319-42059-2_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  206 in total

1.  Noncoding RNAs regulating cardiac muscle mass.

Authors:  Glenn D Wadley; Séverine Lamon; Sarah E Alexander; Julie R McMullen; Bianca C Bernardo
Journal:  J Appl Physiol (1985)       Date:  2018-12-20

Review 2.  Modulation of polycystic kidney disease by non-coding RNAs.

Authors:  Harini Ramalingam; Matanel Yheskel; Vishal Patel
Journal:  Cell Signal       Date:  2020-01-23       Impact factor: 4.315

3.  Identification of serum exosomal microRNAs in acute spinal cord injured rats.

Authors:  Shu-Qin Ding; Jing Chen; Sai-Nan Wang; Fei-Xiang Duan; Yu-Qing Chen; Yu-Jiao Shi; Jian-Guo Hu; He-Zuo Lü
Journal:  Exp Biol Med (Maywood)       Date:  2019-08-26

4.  Diurnal rhythms across the human dorsal and ventral striatum.

Authors:  Kyle D Ketchesin; Wei Zong; Mariah A Hildebrand; Marianne L Seney; Kelly M Cahill; Madeline R Scott; Vaishnavi G Shankar; Jill R Glausier; David A Lewis; George C Tseng; Colleen A McClung
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

Review 5.  The role of exosomal microRNAs in central nervous system diseases.

Authors:  Yifei Yu; Kun Hou; Tong Ji; Xishu Wang; Yining Liu; Yangyang Zheng; Jinying Xu; Yi Hou; Guangfan Chi
Journal:  Mol Cell Biochem       Date:  2021-01-29       Impact factor: 3.396

Review 6.  Recent advances on the machine learning methods in predicting ncRNA-protein interactions.

Authors:  Lin Zhong; Meiqin Zhen; Jianqiang Sun; Qi Zhao
Journal:  Mol Genet Genomics       Date:  2020-10-02       Impact factor: 3.291

7.  Multiple information carried by RNAs: total eclipse or a light at the end of the tunnel?

Authors:  Baptiste Bogard; Claire Francastel; Florent Hubé
Journal:  RNA Biol       Date:  2020-06-26       Impact factor: 4.652

8.  Analyzing the Interactions of mRNAs and ncRNAs to Predict Competing Endogenous RNA Networks in Osteosarcoma Chemo-Resistance.

Authors:  Kun-Peng Zhu; Chun-Lin Zhang; Xiao-Long Ma; Jian-Ping Hu; Tao Cai; Lei Zhang
Journal:  Mol Ther       Date:  2019-01-07       Impact factor: 11.454

9.  Characterization of novel small RNAs (sRNAs) contributing to the desiccation response of Salmonella enterica serovar Typhimurium.

Authors:  Emmaline C Barnhill; Aline Crucello; Dominika Houserova; Valeria M King; Shivam V Amin; Justin T Roberts; Michael E Zambrano; Jeffrey D DeMeis; Donavon J Dahmer; Zara Ijaz; Addison A Barchie; Brianna C Watters; James E Prusak; Meghan A Dean; Nathaniel W Holton; Jaire A Ferreira-Filho; Anderson S Sant'Ana; Michael P Spector; Glen M Borchert
Journal:  RNA Biol       Date:  2019-08-15       Impact factor: 4.652

10.  Melanoma-derived exosomes induce reprogramming fibroblasts into cancer-associated fibroblasts via Gm26809 delivery.

Authors:  Tairan Hu; Jiacai Hu
Journal:  Cell Cycle       Date:  2019-09-23       Impact factor: 4.534

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