Literature DB >> 33923420

Exon-Intron Differential Analysis Reveals the Role of Competing Endogenous RNAs in Post-Transcriptional Regulation of Translation.

Nicolas Munz1, Luciano Cascione1,2, Luca Parmigiani3, Chiara Tarantelli1, Andrea Rinaldi1, Natasa Cmiljanovic4, Vladimir Cmiljanovic4, Rosalba Giugno3, Francesco Bertoni1,5, Sara Napoli1.   

Abstract

Stressful conditions induce the cell to save energy and activate a rescue program modulated by mammalian target of rapamycin (mTOR). Along with transcriptional and translational regulation, the cell relies also on post-transcriptional modulation to quickly adapt the translation of essential proteins. MicroRNAs play an important role in the regulation of protein translation, and their availability is tightly regulated by RNA competing mechanisms often mediated by long noncoding RNAs (lncRNAs). In our paper, we simulated the response to growth adverse condition by bimiralisib, a dual PI3K/mTOR inhibitor, in diffuse large B cell lymphoma cell lines, and we studied post-transcriptional regulation by the differential analysis of exonic and intronic RNA expression. In particular, we observed the upregulation of a lncRNA, lncTNK2-2:1, which correlated with the stabilization of transcripts involved in the regulation of translation and DNA damage after bimiralisib treatment. We identified miR-21-3p as miRNA likely sponged by lncTNK2-2:1, with consequent stabilization of the mRNA of p53, which is a master regulator of cell growth in response to DNA damage.

Entities:  

Keywords:  ceRNAs; lncRNAs; mTOR pathway; miRNAs; post-transcriptional regulation; translation

Year:  2021        PMID: 33923420     DOI: 10.3390/ncrna7020026

Source DB:  PubMed          Journal:  Noncoding RNA        ISSN: 2311-553X


  34 in total

1.  Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation.

Authors:  Dimos Gaidatzis; Lukas Burger; Maria Florescu; Michael B Stadler
Journal:  Nat Biotechnol       Date:  2015-06-22       Impact factor: 54.908

Review 2.  The biogenesis, biology and characterization of circular RNAs.

Authors:  Lasse S Kristensen; Maria S Andersen; Lotte V W Stagsted; Karoline K Ebbesen; Thomas B Hansen; Jørgen Kjems
Journal:  Nat Rev Genet       Date:  2019-08-08       Impact factor: 53.242

3.  The coordinate regulation of the p53 and mTOR pathways in cells.

Authors:  Zhaohui Feng; Haiyan Zhang; Arnold J Levine; Shengkan Jin
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-31       Impact factor: 11.205

4.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

Authors:  Matthew E Ritchie; Belinda Phipson; Di Wu; Yifang Hu; Charity W Law; Wei Shi; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2015-01-20       Impact factor: 16.971

Review 5.  mTOR Signaling in Growth, Metabolism, and Disease.

Authors:  Robert A Saxton; David M Sabatini
Journal:  Cell       Date:  2017-03-09       Impact factor: 41.582

Review 6.  Transcriptional and Post-transcriptional Gene Regulation by Long Non-coding RNA.

Authors:  Iain M Dykes; Costanza Emanueli
Journal:  Genomics Proteomics Bioinformatics       Date:  2017-05-19       Impact factor: 7.691

7.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

8.  DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactions.

Authors:  Dimitra Karagkouni; Maria D Paraskevopoulou; Serafeim Chatzopoulos; Ioannis S Vlachos; Spyros Tastsoglou; Ilias Kanellos; Dimitris Papadimitriou; Ioannis Kavakiotis; Sofia Maniou; Giorgos Skoufos; Thanasis Vergoulis; Theodore Dalamagas; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

9.  LncRNA GMDS-AS1 inhibits lung adenocarcinoma development by regulating miR-96-5p/CYLD signaling.

Authors:  Ming Zhao; Xiao-Feng Xin; Jian-Ya Zhang; Wei Dai; Tang-Feng Lv; Yong Song
Journal:  Cancer Med       Date:  2019-12-20       Impact factor: 4.452

10.  Accurate quantification of circular RNAs identifies extensive circular isoform switching events.

Authors:  Jinyang Zhang; Shuai Chen; Jingwen Yang; Fangqing Zhao
Journal:  Nat Commun       Date:  2020-01-03       Impact factor: 14.919

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  1 in total

1.  Post-Transcriptional Regulation through Long Non-Coding RNAs (lncRNAs).

Authors:  Giuseppina Pisignano; Michael Ladomery
Journal:  Noncoding RNA       Date:  2021-04-29
  1 in total

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