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Strategies for profiling MicroRNA expression
Author(s) -
Kong William,
Zhao JianJun,
He Lili,
Cheng Jin Q.
Publication year - 2009
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.21577
Subject(s) - microrna , in silico , biology , gene expression profiling , computational biology , profiling (computer programming) , gene silencing , gene expression , gene , bioinformatics , genetics , computer science , operating system
MicroRNAs (miRNAs) are a class of small RNAs (∼22‐nt) that play an important role in the control of different cell processes by negative regulation of protein‐coding genes. In the last several years, a number of miRNA profiling strategies have been used to document the miRNA expression changes during physiological and pathological processes. Aberrant expression of miRNAs has been linked to developmental defects, cancer, neurological disorders, and heart diseases. Over 540 human miRNAs have been validated to date; however, computer models suggest there may be thousands more. As bench work continue to verify in silico predictions, miRNA profiling will remain a prominent tool for identification of differential expression miRNAs in normal cellular courses and human disorders. This review focuses on current strategies for miRNA expression profiling and discusses their sensitivity and specificity, as well as advantage and disadvantage. J. Cell. Physiol. 218: 22–25, 2009. © 2008 Wiley‐Liss, Inc.