@article{e2c1f924c67846c69351bfeeb49dba7e,
title = "Genome-wide miRNA expression profiling of human lymphoblastoid cell lines identifies tentative SSRI antidepressant response biomarkers",
abstract = "Aim: Over 30% of patients with major depression do not respond well to first-line treatment with selective serotonin reuptake inhibitors (SSRIs). Using genome-wide expression profiling of human lymphoblastoid cell lines (LCLs) CHL1 was identified as a tentative SSRI sensitivity biomarker. This study reports on miRNAs implicated in SSRI sensitivity of LCLs. Methods: Eighty LCLs were screened from healthy adult female individuals for growth inhibition by paroxetine. Eight LCLs exhibiting high or low sensitivities to paroxetine were chosen for genome-wide expression profiling with miRNA microarrays. Results: The miRNA miR-151-3p had 6.7-fold higher basal expression in paroxetine-sensitive LCLs. This corresponds with lower expression of CHL1, a target of miR-151-3p. The additional miRNAs miR-212, miR-132, miR-30b*, let-7b and let-7c also differed by >1.5-fold (p < 0.05) between the two LCL groups. Conclusion: The potential value of these miRNAs as tentative SSRI response biomarkers awaits validation with lymphocyte samples of major depression patients. Original submitted 28 March 2012; Revision submitted 21 May 201.",
keywords = "CHL1, genome-wide expression profiling, let-7b, let-7c, miR-132, miR-151-3p, miR-212, miR-30b, selective serotonin reuptake inhibitors",
author = "Keren Oved and Ayelet Morag and Metsada Pasmanik-Chor and Varda Oron-Karni and Noam Shomron and Moshe Rehavi and Stingl, {Julia C.} and David Gurwitz",
year = "2012",
month = jul,
doi = "10.2217/pgs.12.93",
language = "אנגלית",
volume = "13",
pages = "1129--1139",
journal = "Pharmacogenomics",
issn = "1462-2416",
publisher = "Taylor and Francis Ltd.",
number = "10",
}