| Title |
Determination of abnormally expressed microRNAs in bone marrow smears from patients with follicular lymphomas
|
|---|---|
| Published in |
SpringerPlus, June 2014
|
| DOI | 10.1186/2193-1801-3-288 |
| Pubmed ID | |
| Authors |
Yoshifumi Takei, Naomi Ohnishi, Mayumi Kisaka, Keichiro Mihara |
| Abstract |
The abnormal expression of microRNAs (miRNAs) is implicated in various human diseases, including cancers. Accordingly, miRNA expressions have been examined in many cancer tissues and blood, but there have been few studies examining smear samples from bone marrow (BM) or peripheral blood. Here we successfully isolated small RNAs from BM smears using a mirVana miRNA Isolation Kit with our original modifications. The isolated small RNAs were then used to measure the levels of representative miRNAs such as miR-155, let-7a, and U6 via real-time PCR with a specific TaqMan probe, although peaks for the ribosomal RNAs (18S, and 28S) were not identified. The PCR curves of the miRNAs were indistinguishable from those from BM living cells from the same donor. Finally, our method for BM smears identified numerous abnormally altered miRNAs (significantly decreased, 39 miRNAs; significantly increased, 27 miRNAs) in follicular lymphomas (FL) compared with normal donors via TaqMan real-time PCR miRNA array. The array indicated that miR-451 showed the greatest decrease in FL (a 345-fold decrease), while miR-338-5p showed the greatest increase in FL (172-fold) relative to normal donors. The miRNAs identified by our study might serve as markers to predict the invasion of FL cells into BM without biopsy. Furthermore, our method will provide a new avenue for the analysis of miRNAs in BM smear samples from various hematologic diseases. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 40% |
| Student > Master | 2 | 20% |
| Researcher | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2014.
All research outputs
#14,804,483
of 22,793,427 outputs
Outputs from SpringerPlus
#834
of 1,851 outputs
Outputs of similar age
#127,645
of 228,772 outputs
Outputs of similar age from SpringerPlus
#39
of 75 outputs
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