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Bong IPN, Ng CC, Baharuddin P, et al. MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy. Genes Genomics. 2017;39(5):533-540doi: 10.1007/s13258-017-0518-7.
Bong, I. P. N., Ng, C. C., Baharuddin, P., & Zakaria, Z. (2017). MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy. Genes & genomics, 39(5), 533-540. https://doi.org/10.1007/s13258-017-0518-7
Bong, Ivyna Pau Ni, et al. "MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy." Genes & genomics vol. 39,5 (2017): 533-540. doi: https://doi.org/10.1007/s13258-017-0518-7
Bong IPN, Ng CC, Baharuddin P, Zakaria Z. MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy. Genes Genomics. 2017;39(5):533-540. doi: 10.1007/s13258-017-0518-7. Epub 2017 Feb 09. PMID: 28458781; PMCID: PMC5387019.
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Genes Genomics. 2017;39(5):533-540. doi: 10.1007/s13258-017-0518-7. Epub 2017 Feb 09.

MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy.

Genes & genomics

Ivyna Pau Ni Bong, Ching Ching Ng, Puteri Baharuddin, Zubaidah Zakaria

Affiliations

  1. Haematology Unit, Cancer Research Centre, Institute for Medical Research, Jalan Pahang, 50588 Kuala Lumpur, Malaysia.
  2. Faculty of Science, Institute of Biological Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia.

PMID: 28458781 PMCID: PMC5387019 DOI: 10.1007/s13258-017-0518-7

Abstract

Epigenetic changes have emerged as key causes in the development and progression of multiple myeloma (MM). In this study, global microRNA (miRNA) expression profiling were performed for 27 MM (19 specimens and 8 cell lines) and 3 normal controls by microarray. miRNA-targets were identified by integrating the miRNA expression profiles with mRNA expression profiles of the matched samples (unpublished data). Two miRNAs were selected for verification by RT-qPCR (miR-150-5p and miR-4430). A total of 1791 and 8 miRNAs were over-expressed and under-expressed, respectively in MM compared to the controls (fold change ≥2.0; p < 0.05). The miRNA-mRNA integrative analysis revealed inverse correlation between 5 putative target genes (

Keywords: MiR-125b; MiR-150; MiRNA-mRNA integrative analysis; MicroRNA; Microarray; Multiple myeloma

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