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CeRNA bioinformatic analysis on human telomerase

Authors: ARANCIO, Walter; PIZZOLANTI, Giuseppe; GIORDANO, Carla;

CeRNA bioinformatic analysis on human telomerase

Abstract

Messenger RNA (mRNA) translation efficiency is regulated by microRNAs. Each microRNA is able to regulate the translation of multiple mRNAs and each mRNA is regulated by multiple microRNAs. Thus, cellular mRNAs pool competed for microRNAs pool and viceversa. The regulatory network between mRNAs and microRNAs can be studied in the perspective of Competing Endogenous RNAs or ceRNAs. Here it is presented a bioinformatic study on ceRNAs for human telomerase (hTERT). Several genes potentially involved in the regulatory network of hTERT have been harvested by this study. hTERT is essential for the telomeres integrity. Telomere dysfunctions have been widely reported to be involved in Ageing, Cancer and Cellular Senescence. Amongst the gene collected, the oncosuppressor PTEN and the dynein heavy chain coding gene DNHD1 are top level interactors. Interestingly, many genes of unknow functions results as predicted interactors, suggesting that hTERT may be involved in unexplored network and scenarios.

Country
Italy
Related Organizations
Keywords

PTEN, Settore BIO/18 - Genetica, dynein, hTERT, telomerase, PTEN, dynein, ceRNA, Settore BIO/11 - Biologia Molecolare, ceRNA, hTERT, telomerase, Settore MED/13 - Endocrinologia

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research