Literature DB >> 23377966

Bioinformatics, non-coding RNAs and its possible application in personalized medicine.

Simona Rossi1, George A Calin.   

Abstract

Non-coding RNAs are important actors in human biology. A massive amount of data has been created and manipulated, and important findings have been extracted thanks in part to bioinformatics approaches and consequent experimental validation; many of these results are for a specific class of non-coding RNAs, the microRNAs (miRNAs), that are important regulators of gene expression although their transcriptional regulation is not yet well understood. Their involvement in cancer development and progression makes the related research field an integrated one, composed of bioinformaticians, clinicians, statisticians and biologists, as well as informaticians and data miners that cure data manipulation and storage especially due to the output of the latest technologies, like the Next Generation Sequencers.In this chapter we report the main miRNA findings of the last 10 years in terms of identification and prediction techniques, data generation and manipulation methods, as well as possible use in clinical practice.

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Year:  2013        PMID: 23377966     DOI: 10.1007/978-94-007-5590-1_2

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


  3 in total

1.  Anti-miRNA-221 sensitizes human colorectal carcinoma cells to radiation by upregulating PTEN.

Authors:  Qi Xue; Kai Sun; Hai-Jun Deng; Shang-Tong Lei; Jing-Qing Dong; Guo-Xin Li
Journal:  World J Gastroenterol       Date:  2013-12-28       Impact factor: 5.742

Review 2.  microRNAs in nociceptive circuits as predictors of future clinical applications.

Authors:  Michaela Kress; Alexander Hüttenhofer; Marc Landry; Rohini Kuner; Alexandre Favereaux; David Greenberg; Josef Bednarik; Paul Heppenstall; Florian Kronenberg; Marzia Malcangio; Heike Rittner; Nurcan Uçeyler; Zlatko Trajanoski; Peter Mouritzen; Frank Birklein; Claudia Sommer; Hermona Soreq
Journal:  Front Mol Neurosci       Date:  2013-10-17       Impact factor: 5.639

3.  Disturbing miR-182 and -381 inhibits BRD7 transcription and glioma growth by directly targeting LRRC4.

Authors:  Hailin Tang; Zeyou Wang; Qing Liu; Xiaoping Liu; Minghua Wu; Guiyuan Li
Journal:  PLoS One       Date:  2014-01-03       Impact factor: 3.240

  3 in total

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