Iqbal, S and Pal, D (2024) microRNA Isolation, Expression Profiling, and Target Identification for Neuroprotection in Alzheimer�s Disease. [Book Chapter]
Full text not available from this repository.Abstract
Millions of people throughout the world are affected by neurodegenerative disorders like Alzheimer�s disease (AD), making them a major public health concern. To create successful medicines, early diagnosis and illness monitoring are required. Emerging as possible diagnostic and treatment tools for neurodegenerative illnesses are biomarkers such as microRNAs (miRNAs). In the realm of neuroscience, miRNAs have been discovered to function as essential regulators of gene expression, with roles spanning development, differentiation, and illness. Several neurodegenerative diseases, including AD, have been linked to miRNA dysregulation. As high-throughput methods have been developed for monitoring miRNA expression and identifying miRNA targets, miRNAs have become a prime candidate for use in diagnostics and therapy. The techniques for isolating miRNAs and the most up-to-date computational methods for finding miRNA target transcripts are both described in this chapter. This chapter will be a helpful reference for anyone investigating the role of miRNAs in AD and related neurodegenerative illnesses. © The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Item Type: | Book Chapter |
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Publication: | Methods in Molecular Biology |
Series.: | Methods in Molecular Biology |
Publisher: | Humana Press Inc. |
Additional Information: | The copyright for this article belongs to the publisher. |
Keywords: | biological marker; microRNA, Alzheimer disease; gene expression profiling; genetics; human; metabolism; neuroprotection; procedures, Alzheimer Disease; Biomarkers; Gene Expression Profiling; Humans; MicroRNAs; Neuroprotection |
Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
Date Deposited: | 12 Aug 2024 11:34 |
Last Modified: | 12 Aug 2024 11:34 |
URI: | http://eprints.iisc.ac.in/id/eprint/84457 |
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