OBJECTIVES: MicroRNAs (miRNAs) play key roles in a wide variety of normal and pathological cellular processes. A number of studies identified hematopoietic-specific miRNAs that are necessary for correct function of blood cells. Out of our microarray data, we chose 13 miRNAs that showed differential expression in peripheral blood cells (miR-15b, miR-16, miR-24, miR-30c, miR-106b, miR-142-3p, miR-142-5p, miR-150, miR-155, miR-181, miR-223, miR-342, and miR-451) and examined their expression in separated hematopoietic cell lineages. METHODS: Using quantitative real-time polymerase chain reaction, we measured relative expression of the miRNAs in fractions of reticulocytes, platelets, granulocytes, monocytes, B- and T-lymphocytes as well as in several hematopoietic cell lines. RESULTS: We observed that miR-16 and miR-142-3p were highly expressed in all native cell lineages, miR-451 reached the maximal expression in reticulocytes, miR-223 in platelets, granulocytes and monocytes, and miR-150 in B- and T-lymphocytes. Hierarchical clustering analysis grouped the lineage samples according to their origin based on the expression of these miRNAs. To validate discrimination power of the miRNAs, we quantified expression of the 13 miRNAs in several immortalized cell lines. Although the cell lines showed miRNA expression patterns considerably different from those of native cell lineages, clustering analysis distinguished between myeloid, lymphoid and non-hematopoietic cells. CONCLUSIONS: In conclusion, the study reports the expression levels of 13 miRNAs in particular blood cell lineages as well as immortalized cell lines. We demonstrate that the expression profiles of these miRNAs may be used for discrimination of the hematopoietic cell lineages.
OBJECTIVES: MicroRNAs (miRNAs) play key roles in a wide variety of normal and pathological cellular processes. A number of studies identified hematopoietic-specific miRNAs that are necessary for correct function of blood cells. Out of our microarray data, we chose 13 miRNAs that showed differential expression in peripheral blood cells (miR-15b, miR-16, miR-24, miR-30c, miR-106b, miR-142-3p, miR-142-5p, miR-150, miR-155, miR-181, miR-223, miR-342, and miR-451) and examined their expression in separated hematopoietic cell lineages. METHODS: Using quantitative real-time polymerase chain reaction, we measured relative expression of the miRNAs in fractions of reticulocytes, platelets, granulocytes, monocytes, B- and T-lymphocytes as well as in several hematopoietic cell lines. RESULTS: We observed that miR-16 and miR-142-3p were highly expressed in all native cell lineages, miR-451 reached the maximal expression in reticulocytes, miR-223 in platelets, granulocytes and monocytes, and miR-150 in B- and T-lymphocytes. Hierarchical clustering analysis grouped the lineage samples according to their origin based on the expression of these miRNAs. To validate discrimination power of the miRNAs, we quantified expression of the 13 miRNAs in several immortalized cell lines. Although the cell lines showed miRNA expression patterns considerably different from those of native cell lineages, clustering analysis distinguished between myeloid, lymphoid and non-hematopoietic cells. CONCLUSIONS: In conclusion, the study reports the expression levels of 13 miRNAs in particular blood cell lineages as well as immortalized cell lines. We demonstrate that the expression profiles of these miRNAs may be used for discrimination of the hematopoietic cell lineages.
Authors: Richard Danger; Annaïck Pallier; Magali Giral; Marc Martínez-Llordella; Juan José Lozano; Nicolas Degauque; Alberto Sanchez-Fueyo; Jean-Paul Soulillou; Sophie Brouard Journal: J Am Soc Nephrol Date: 2012-01-26 Impact factor: 10.121
Authors: Duonan Yu; Camila O dos Santos; Guowei Zhao; Jing Jiang; Julio D Amigo; Eugene Khandros; Louis C Dore; Yu Yao; Janine D'Souza; Zhe Zhang; Saghi Ghaffari; John Choi; Sherree Friend; Wei Tong; Jordan S Orange; Barry H Paw; Mitchell J Weiss Journal: Genes Dev Date: 2010-08-01 Impact factor: 11.361
Authors: John R Finnerty; Wang-Xia Wang; Sébastien S Hébert; Bernard R Wilfred; Guogen Mao; Peter T Nelson Journal: J Mol Biol Date: 2010-08-01 Impact factor: 5.469
Authors: Srikanth Nagalla; Chad Shaw; Xianguo Kong; Altaf A Kondkar; Leonard C Edelstein; Lin Ma; Junmei Chen; G Stanley McKnight; José A López; Linghai Yang; Ying Jin; Molly S Bray; Suzanne M Leal; Jing-Fei Dong; Paul F Bray Journal: Blood Date: 2011-03-17 Impact factor: 22.113