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3 publications mentioning mmu-mir-5107Open access articles that are associated with the species Mus musculus and mention the gene name mir-5107. Click the [+] symbols to view sentences that include the gene name, or the word cloud on the right for a summary. |
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Other miRNAs from this paper: mmu-let-7g, mmu-let-7i, mmu-mir-101a, mmu-mir-124-3, mmu-mir-128-1, mmu-mir-9-2, mmu-mir-140, mmu-let-7d, mmu-mir-106b, mmu-let-7a-1, mmu-let-7a-2, mmu-let-7b, mmu-let-7c-1, mmu-let-7c-2, mmu-let-7e, mmu-let-7f-1, mmu-let-7f-2, mmu-mir-29a, mmu-mir-101b, mmu-mir-107, mmu-mir-17, mmu-mir-124-1, mmu-mir-124-2, mmu-mir-9-1, mmu-mir-9-3, mmu-mir-128-2, mmu-mir-694, mmu-mir-101c, mmu-let-7j, mmu-let-7k, mmu-mir-9b-2, mmu-mir-124b, mmu-mir-9b-1, mmu-mir-9b-3
The miRNA that had the highest number of predicted targets was mmu-miR-5107 (212 targets) and the best matched target was Pafah2 (platelet-activating factor acetylhydrolase 2, NM_133880).
[score:7]
The mmu-miR-5107 was expressed marginally higher in the 21d sample (1.19 ± 0.12) than in the 14d (1 ± 0.14), while the expression level of mmu-miR-novel-1 was slightly lower in the 21d sample (0.63 ± 0.07) than that in the 14d RNA (1 ± 0.11).
[score:5]
Six representative miRNAs, including mmu-mir-5107 and mmu-miR-novel-1 (common to both time points post-infection); 14df-m0014-5p and 14df-m0027-3p (14d-specific miRNAs), and 21df-m0027-5p and 21df-m0013-5p (21d-specific miRNAs), which had higher copy numbers than others, were chosen and used in a quantitative PCR analysis (Figure 3).
[score:1]
[1 to 20 of 3 sentences]
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Other miRNAs from this paper: mmu-let-7g, mmu-let-7i, mmu-mir-99a, mmu-mir-125a, mmu-mir-125b-2, mmu-mir-126a, mmu-mir-128-1, mmu-mir-144, mmu-mir-129-1, mmu-mir-181a-2, mmu-mir-188, mmu-let-7d, mmu-let-7a-1, mmu-let-7a-2, mmu-let-7b, mmu-let-7c-1, mmu-let-7c-2, mmu-let-7e, mmu-let-7f-1, mmu-let-7f-2, mmu-mir-34a, mmu-mir-129-2, mmu-mir-342, mmu-mir-100, mmu-mir-181a-1, mmu-mir-33, mmu-mir-211, mmu-mir-222, mmu-mir-224, mmu-mir-181b-1, mmu-mir-181c, mmu-mir-125b-1, mmu-mir-181b-2, mmu-mir-196b, mmu-mir-451a, mmu-mir-592, mmu-mir-455, mmu-mir-181d, mmu-mir-504, mmu-mir-5120, mmu-let-7j, mmu-mir-451b, mmu-let-7k, mmu-mir-129b, mmu-mir-126b
The upregulated miRNAs included mmu-miR-34a-5p, mmu-miR-129b-5p, mmu-miR-451a, mmu-miR-144-5p and mmu-miR-129b-3p, whereas highly downregulated miRNAs included mmu-miR-100-5p, mmu-miR-99a-5p, mmu-miR-33-5p, mmu-miR-125a-5p, mmu-miR-128-1-5p, mmu-miR-181b-1-3p, mmu-miR-188-5p, mmu-miR-196b-5p, mmu-miR-211-5p, mmu-miR-224-5p, mmu-miR-455-3p, mmu-miR-504-5p, mmu-miR-592-5p, mmu-miR-5107-3p, mmu-miR-5120, and mmu-let-7i-3p.
[score:7]
[1 to 20 of 1 sentences]
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Other miRNAs from this paper: hsa-mir-32, mmu-mir-141, mmu-mir-146a, mmu-mir-150, mmu-mir-155, mmu-mir-122, hsa-mir-122, hsa-mir-141, hsa-mir-146a, hsa-mir-150, mmu-mir-346, hsa-mir-155, mmu-mir-32, mmu-mir-7a-1, mmu-mir-7a-2, hsa-mir-346, mmu-mir-468, hsa-mir-526a-1, hsa-mir-526a-2, hsa-mir-574, mmu-mir-669b, mmu-mir-709, mmu-mir-721, mmu-mir-466h, mmu-mir-574, mmu-mir-877, hsa-mir-877, mmu-mir-466i, mmu-mir-1187, mmu-mir-669n, mmu-mir-3082, mmu-mir-466m, mmu-mir-3473a, mmu-mir-3473b
miRNA Fold change at 3 dpi Fold change at 5 dpi mmu-miR-466h-3p NS (Not significant) 14.311053 mmu-miR-346-5p NS 3.4766614 mmu-miR-877-3p NS 3.416667 mmu-miR-7a-5p NS 2.1413074 mmu-miR-5107-5p NS −2.047792 mmu-miR-3473a −2.2872427 −2.1317267 mmu-miR-150-5p NS −2.1770155 mmu-miR-3473b −3.2475147 −2.282881 mmu-miR-721 NS −2.6864858 mmu-miR-669b-5p NS −2.9408455 mmu-miR-709 NS −3.0065749 mmu-miR-669n NS −3.0094464 mmu-miR-468-3p NS −3.40051 mmu-miR-466m-5p NS −4.33538 mmu-miR-32-3p NS −4.5324426 mmu-miR-466h-5p NS −4.9673104 mmu-miR-3082-5p NS −6.01648 mmu-miR-466i-5p NS −7.6776285 mmu-miR-1187 NS −8.772696 mmu-miR-574-5p NS −9.259378 To confirm the validity of the differentially expressed miRNAs that had been identified by microarray analysis, we performed real-time PCR on all 20 of these miRNAs using the polyA tailing technique.
[score:3]
Among them, miR-5107-5p could regulate the MAPK p38 signaling pathway via the activation of MAPKAPK2 (MAPK activated protein kinase 2/MK2) in particularly (Figure 5 and Supporting File 3), thereby promoting the production of microglial-derived cytokines like TNF-α, IL-6, or IFN-γ, inside the BBB (Kaminska et al., 2009; Wang et al., 2015).
[score:2]
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