Overview of Computational and Experimental Methods to Identify Tissue-Specific MicroRNA Targets

Schmitz, Ulf (2023) Overview of Computational and Experimental Methods to Identify Tissue-Specific MicroRNA Targets. In: Dalmay, Tamas, (ed.) MicroRNA Detection and Target Identification. Methods in Molecular Biology, 2630 . Humana Press, New York, NY, USA, pp. 155-177.

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DOI: 10.1007/978-1-0716-2982-6_12

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Abstract

As ubiquitous posttranscriptional regulators of gene expression, microRNAs (miRNAs) play key roles in cell physiology and function across taxa. In the last two decades, we have gained a good understanding about miRNA biogenesis pathways, modes of action, and consequences of miRNA-mediated gene regulation. More recently, research has focused on exploring causes for miRNA dysregulation, miRNA-mediated crosstalk between genes and signaling pathways, and the role of miRNAs in disease.

This chapter discusses methods for the identification of miRNA–target interactions and causes for tissue-specific miRNA–target regulation. Computational approaches for predicting miRNA target sites and assessing tissue-specific target regulation are discussed. Moreover, there is an emphasis on features that affect miRNA target recognition and how high-throughput sequencing protocols can help in assessing miRNA-mediated gene regulation on a genome-wide scale. In addition, this chapter introduces some experimental approaches for the validation of miRNA targets as well as web-based resources sharing predicted and validated miRNA–target interactions.


Item ID:	77803
Item Type:	Book Chapter (Research - B1)
ISBN:	978-1-0716-2982-6
ISSN:	1940-6029
Copyright Information:	© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
Date Deposited:	28 Feb 2023 03:43
FoR Codes:	31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310201 Bioinformatic methods development @ 50% 31 BIOLOGICAL SCIENCES > 3101 Biochemistry and cell biology > 310114 Systems biology @ 50%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280102 Expanding knowledge in the biological sciences @ 100%
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