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18 publications mentioning hsa-mir-665

Open access articles that are associated with the species Homo sapiens and mention the gene name mir-665. Click the [+] symbols to view sentences that include the gene name, or the word cloud on the right for a summary.

1
[+] score: 47
Based on the fold changes, qRT-PCR was performed to validate microarray results on 12 miRNAs, specifically miRNAs up-regulated in both heart and plasma (miR-660-3p, miR-665, miR-1285-3p and miR-4491), down-regulated in heart but up-regulated in plasma (miR-206 and miR-1268b), up-regulated in heart but down-regulated in plasma (miR-130-3p, miR-199a and miR-330-3p), down-regulated in both heart and plasma (miR-221-30, miR-487b-3p and miR-4288), were chosen for validation test in the plasma of 45 control and 45 CHF patients. [score:19]
Analysis of miRNAs expression revealed that miR-660-3p, miR-665, miR-1285-3p, miR-4491 and miR-130a-3p were relatively cardiac-enriched, while the remaining miRNAs showed a non-cardiac highly expression patterns (Supplemental Figure 1). [score:5]
Among the 10 successfully validated miRNAs, only 4 cardiac fibroblast-derived miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) were upregulated both in heart and circulation. [score:4]
Then, we identified 3 cardiac fibroblast-derived circulating miRNAs (miR-660-3p, miR-665 and miR-1285-3p) significantly upregulated in CHF (in heart and circulation) and correlated to CHF severity, holding promises as diagnostic biomarker for CHF. [score:4]
Four cardiac fibroblast-derived miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) were found significantly upregulated in heart and plasma during heart failure. [score:4]
However, recent studies demonstrates that miR-21-3p, which has a similar limited abundance to miR-665, miR-1285-3p and miR-4491 (Supplemental Figure 4), plays important role in cardiac hypertrophy, suggesting that miRNA with limited abundance may play important roles in diseases and should not be left ignore [24, 25]. [score:3]
In this study, 4 cardiac fibroblast-derived circulating miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) performed better than other miRNAs in distinguishing CHF and indicating disease severity. [score:3]
Interestingly, as shown in Figure 4, we found significant correlations with LVEF% (P < 0.05) for 3 cardiac fibroblast-derived circulating miRNAs, namely miR-660-3p, miR-665 and miR-1285-3p, while the other miRNAs showed no significant correlation. [score:1]
The results showed that 4 cardiac fibroblast derived circulating miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) all exhibited high accuracy for diagnosis (> 0.9). [score:1]
Further bioinformatics analysis aids us in the interpretation of the biological functions of these cardiac-related miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) in CHF. [score:1]
As a result, 8 of the 12 selected miRNAs (miR-660-3p, miR-665, miR-1285-3p, miR-4491, miR-206, miR-1268b, miR-130-3p and miR-330-3p) were successfully validated in the second cohort. [score:1]
However, most miRNAs provided here have not been well studied before (including miR-660-3p, miR-665, miR-1285-3p and miR-4491), probably due to the following reasons. [score:1]
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2
[+] score: 14
Our contention was supported by several findings: (1) MCF-7-miR665 cells exhibited 8–10 fold upregulation of TGFβ-R2 relative to MCF-7 cells (Fig.   7A), rather than miR655 mediated downregulation of TGFβ-R2 as noted by Harazano et al. [43]. [score:7]
By differential gene and miRNA microarray analyses of MCF7 and ectopic COX-2 over -expressing MCF-7-COX-2 cells we identified two COX-2 upregulated miRNAs, miR526b and miR665, of which miR526b was established as an oncogenic miRNA in human breast cancer [37]. [score:6]
In contrast MCF7-miR665 cells exhibited no change in Smad-3 phosphorylation or in morphology when treated with TGF-β1 (Fig.   7C,D). [score:1]
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3
[+] score: 9
MiR-665, 146b-5p, and 155-5p were all upregulated in the inflamed colon of patients with ulcerative colitis [26], and miR-146b-5p has also been shown to be upregulated in the rheumatoid arthritis synovial tissue [27] and to be involved in the immunosuppressive functions of human retinal pigment epithelial cells [28]. [score:9]
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4
[+] score: 8
In two articles by Pei et al., one described the miRNA expression profiles of developing rat hypocampal astrocytes after propofol treatment [33] and the second reported that propofol upregulates rno-miR-665 expression to induce apoptosis in developing hippocampal astrocytes via a rno-miR-665/BLC2L1/caspase-3 -mediated mechanism [34]. [score:8]
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5
[+] score: 6
detected the expression profile of miRNAs from blood samples of influenza A H1N1 virus-infected patients and then exhibited that the expression levels of 193 miRNA molecules were altered in all influenza patients, of which 16 highly dysregulated miRNAs (miR-1260, miR-1285, miR-18a, miR-185*, miR-299-5p, miR-26a, miR-30a, miR-335*, miR-34b, miR-519e, miR-576-3p, miR-628-3p, miR-664, miR-665, miR-765 and miR-767-5p) were able to provide a clear distinction between infected and healthy individuals [39]. [score:6]
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6
[+] score: 6
MiR-665 was one of the top regulatory miRNAs in multiple pathways in our screen, regulating the levels of proteins in the metabolism, MAPK, RTK, TSC2/mTOR, cell adhesion, PI3K/AKT, cell cycle and DNA repair pathways. [score:3]
We identified miR-365, miR-555 and miR-665 as important regulators of multiple cellular pathways—miR-365 being previously implicated in cancer pathophysiology. [score:2]
Despite having marked effects on the majority of proteins of cellular pathways in our functional screen, miR-555 and miR-665 are relatively understudied, with limited reports describing them in the literature. [score:1]
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7
[+] score: 5
The highest ranked complexes are listed in Table 1 and Table 2. Table 1 Top ranking single miRNAs targeting protein complexes Complex Description miRNA P-value corum_3028 TGF-beta receptor II-TGF-beta receptor I-TGF-beta3 complex hsa-miR-665 2.00326E-05 corum_1810 ITGA4-PXN-GIT1 complex hsa-miR-199a-5p 3.26913E-05 corum_4 ACTR-p300-PCAF complex hsa-miR-338-5p 3.65869E-05 corum_642 CtBP complex hsa-miR-129-5p 4.60618E-05 corum_642 CtBP complex hsa-miR-548f 5.10388E-05 corum_3754 CREBBP-SMAD3-SMAD4 pentameric complex hsa-miR-1284 7.21639E-05 corum_3753 CREBBP-SMAD2-SMAD4 pentameric complex hsa-miR-1264 8.26908E-05 corum_2377 ITGA2b-ITGB3-CD47-SRC complex hsa-miR-149 8.78087E-05 corum_2760 SMAD3-SMAD4-FOXO3 complex hsa-miR-1284 9.18449E-05 Table 2 Top ranking miRNA clusters targeting protein complexes Complex Description Cluster P-value corum_3028 TGF-beta receptor II-TGF-beta receptor I-TGF-beta3 complex hsa-miR-493-665 0.00079949 corum_3753 CREBBP-SMAD2-SMAD4 pentameric complex hsa-miR-1912-1264 0.00095073 corum_3059 ITGA11-ITGB1-COL1A1 complex hsa-miR-29a-29b 0.00101944 corum_3059 ITGA11-ITGB1-COL1A1 complex hsa-miR-29c-29b 0.00101944 corum_1080 P-TEFb. [score:5]
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8
[+] score: 4
Regulation of host gene expression by gut microbiota is mediated by hsa-miR-665 [44]. [score:4]
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9
[+] score: 3
Some of the analyzed miRNAs such as miR-1286, miR-1275, miR-665, miR-602 and miR-1248 did not show any corresponding target gene (Table S4). [score:3]
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10
[+] score: 2
According to the network above, there were 5 miRNA binding sites for circRNA-CER, and they were miR-636, miR-665, miR-217, miR-646 and miR-136, respectively. [score:1]
We found that circRNA-CER harbors miRNA -binding sites, including miR-636, miR-665, miR-217, miR-646 and miR-136. [score:1]
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11
[+] score: 2
Only five miRNAs (miR-210, miR-665, miR-637, miR-183* and miR-516a-5p) showed >1.5-fold induction (Figure 5G). [score:1]
However, miR-210 was the only validated miRNA induced by hypoxia significantly (Figure 5H), as miR-665, miR-637, miR-183* and miR-516a-5p all resulted in non-specific amplification with the S-Poly(T) method (data not shown). [score:1]
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12
[+] score: 2
Accordingly, we termed these circRNAs as ciRF-665 (circRNA family binding with miR-665, Figure 3A). [score:1]
Typically, miR-665 interacts with 23 circRNAs. [score:1]
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13
[+] score: 1
Other miRNAs from this paper: hsa-let-7a-1, hsa-let-7a-2, hsa-let-7a-3, hsa-let-7f-1, hsa-let-7f-2, hsa-mir-16-1, hsa-mir-17, hsa-mir-19a, hsa-mir-19b-1, hsa-mir-19b-2, hsa-mir-23a, hsa-mir-26a-1, hsa-mir-26b, hsa-mir-27a, hsa-mir-29a, hsa-mir-30a, hsa-mir-31, hsa-mir-100, hsa-mir-29b-1, hsa-mir-29b-2, hsa-mir-16-2, mmu-mir-23b, mmu-mir-27b, mmu-mir-29b-1, mmu-mir-30a, mmu-mir-30b, mmu-mir-127, mmu-mir-128-1, mmu-mir-132, mmu-mir-133a-1, mmu-mir-188, mmu-mir-194-1, mmu-mir-195a, mmu-mir-199a-1, hsa-mir-199a-1, mmu-mir-200b, mmu-mir-205, mmu-mir-206, hsa-mir-30c-2, hsa-mir-30d, mmu-mir-122, mmu-mir-30e, hsa-mir-199a-2, hsa-mir-199b, hsa-mir-205, hsa-mir-211, hsa-mir-212, hsa-mir-214, hsa-mir-217, hsa-mir-200b, hsa-mir-23b, hsa-mir-27b, hsa-mir-30b, hsa-mir-122, hsa-mir-128-1, hsa-mir-132, hsa-mir-133a-1, hsa-mir-133a-2, hsa-mir-127, hsa-mir-138-1, hsa-mir-188, hsa-mir-194-1, hsa-mir-195, hsa-mir-206, mmu-mir-19b-2, mmu-mir-30c-1, mmu-mir-30c-2, mmu-mir-30d, mmu-mir-200a, mmu-let-7a-1, mmu-let-7a-2, mmu-let-7f-1, mmu-let-7f-2, mmu-mir-16-1, mmu-mir-16-2, mmu-mir-23a, mmu-mir-26a-1, mmu-mir-26b, mmu-mir-29a, mmu-mir-29c, mmu-mir-27a, mmu-mir-31, mmu-mir-351, hsa-mir-200c, mmu-mir-17, mmu-mir-19a, mmu-mir-100, mmu-mir-200c, mmu-mir-212, mmu-mir-214, mmu-mir-26a-2, mmu-mir-211, mmu-mir-29b-2, mmu-mir-199a-2, mmu-mir-199b, mmu-mir-19b-1, mmu-mir-138-1, mmu-mir-128-2, hsa-mir-128-2, mmu-mir-217, hsa-mir-194-2, mmu-mir-194-2, hsa-mir-29c, hsa-mir-30c-1, hsa-mir-200a, hsa-mir-30e, hsa-mir-26a-2, hsa-mir-379, mmu-mir-379, mmu-mir-133a-2, mmu-mir-133b, hsa-mir-133b, mmu-mir-412, mmu-mir-431, hsa-mir-431, hsa-mir-451a, mmu-mir-451a, mmu-mir-467a-1, hsa-mir-412, hsa-mir-485, hsa-mir-487a, hsa-mir-491, hsa-mir-503, hsa-mir-504, mmu-mir-485, hsa-mir-487b, mmu-mir-487b, mmu-mir-503, hsa-mir-556, hsa-mir-584, mmu-mir-665, mmu-mir-669a-1, mmu-mir-674, mmu-mir-690, mmu-mir-669a-2, mmu-mir-669a-3, mmu-mir-669c, mmu-mir-696, mmu-mir-491, mmu-mir-504, mmu-mir-467e, mmu-mir-669k, mmu-mir-669f, hsa-mir-664a, mmu-mir-1896, mmu-mir-1894, mmu-mir-1943, mmu-mir-1983, mmu-mir-1839, mmu-mir-3064, mmu-mir-3072, mmu-mir-467a-2, mmu-mir-669a-4, mmu-mir-669a-5, mmu-mir-467a-3, mmu-mir-669a-6, mmu-mir-467a-4, mmu-mir-669a-7, mmu-mir-467a-5, mmu-mir-467a-6, mmu-mir-669a-8, mmu-mir-669a-9, mmu-mir-467a-7, mmu-mir-467a-8, mmu-mir-669a-10, mmu-mir-467a-9, mmu-mir-669a-11, mmu-mir-467a-10, mmu-mir-669a-12, mmu-mir-3473a, hsa-mir-23c, hsa-mir-4436a, hsa-mir-4454, mmu-mir-3473b, hsa-mir-4681, hsa-mir-3064, hsa-mir-4436b-1, hsa-mir-4790, hsa-mir-4804, hsa-mir-548ap, mmu-mir-3473c, mmu-mir-5110, mmu-mir-3473d, mmu-mir-5128, hsa-mir-4436b-2, mmu-mir-195b, mmu-mir-133c, mmu-mir-30f, mmu-mir-3473e, hsa-mir-6825, hsa-mir-6888, mmu-mir-6967-1, mmu-mir-3473f, mmu-mir-3473g, mmu-mir-6967-2, mmu-mir-3473h
WT) Musmusculus mmu-miR-205_st 0.0031763 –11.649 Musmusculus mmu-miR-200c_st 0.0246158 –3.802 Musmusculus mmu-miR-184_st 0.0170031 –3.06739 Musmusculus mmu-miR-431_st 0.00570439 –2.43854 Musmusculus mmu-miR-669e_st 0.00155807 –2.42538 Musmusculus mmu-miR-3470a_st 0.00672318 –1.97946 Musmusculus mmu-miR-491_st 0.00328488 –1.94599 Musmusculus mmu-miR-3064-5p_st 0.0276855 –1.77619 Musmusculus mmu-miR-466f_st 0.00409442 –1.75841 Musmusculus mmu-miR-2182_st 0.00532508 –1.70938 Musmusculus mmu-miR-341_st 0.0497367 –1.70718 Musmusculus mmu-miR-665-star_st 0.00544338 –1.69474 Musmusculus mmu-miR-1943-star_st 0.0157678 –1.64527 Musmusculus mmu-miR-486_st 0.0396356 –1.63793 Musmusculus mmu-miR-467a-star_st 0.00240509 –1.60868 Musmusculus mmu-miR-669f-5p_st 0.0107809 –1. [score:1]
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14
[+] score: 1
Similarly, the rs2288947 A>G polymorphism may cause miRNA–lncRNA gain by binding hsa-miR-665 or hsa-miR-6840-3p, and miRNA–lncRNA loss by binding hsa-miR-1247-3p. [score:1]
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15
[+] score: 1
org/microrna/) Meg3mmu-miR-770 # Bmp1, Bmp15, Capn3, Casq2, Fosb, Lmna, Mb, Obscn, Peg10, Ppp1ca, Sspn, Tmod1, Trp53 Unidentified mmu-miR-673 Camk2a, Camk2b, Camk2d, Camk2g, Dnmt1, Mtpn, Myh6, Ndn, Pax3, Rbl1, Sln, Tnnt1, Wnt1 Unidentifiedmmu-miR-493 # Cacng5, Camk2g, Cdkn1c, Ctcf, Dag1, Fhl1, Fos, Hras1, Jun, Mib2, Mtap, Peg10, Shh, Tmod1 Unidentifiedmmu-miR-337 # Capza2, Des, Dmd, Dnmt3a, Myh8, Mypn, Nfatc1, Plagl2, Pvalb, Sgcb, Snta1, Tpm3, Trp53 Unidentified mmu-miR-540 Akt3, Bmp2, Bmp7, Capzb, Emd, Itga7, Itgb1, Msc, Myog, Nkx2-5, Pten, Rhoa, Sln, Tlx1, Vim Unidentifiedmmu-miR-665 # Casq2, Igf2, Junb, Ldb3, Peg10, Magel2, Nnat, Pax3, Ryr1, Sntb2, Tln1, Tpm2, Trp53, TtnAnti-Peg11 $ mmu-miR-431 # d Camk2b, Casq1, Dtna, E2f1, Fgf4, Gata3, Igf1, Kit, Max, Peg10, Plagl2, Ppp3r1, Sgcd, Tcf21Anti-Peg11 $ mmu-miR-433 # Bmpr1b, Capza1, Creb1, Ctcf, E2f3, Gata6, Isl1, Jak2, Myh9, Peg10, Plagl2, Ppp3r1, Sntg1Anti-Peg11 $ mmu-miR-127 # d e Auts2, Bcl6, Camk2d, Cdc42, Creb5, E2f3, Igf2, Myo1c, Otx1, Plagl2, Pitx2. [score:1]
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16
[+] score: 1
Conversely, an increased correlation was found only in a single miRNA (miR-665), located on the opposite side of the MDS map (shown as a red-outlined point in Fig.   6). [score:1]
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17
[+] score: 1
2 −2.40(52) hsa-miR-127-5p 14q32.2 −2.35(12, 29) hsa-miR-127-3p 14q32.2 −2.35(52, 59) hsa-miR-411* 14q32.2 −2.30 hsa-miR-125b-1* 11q24.1/21q21.1 −2.27 hsa-miR-411 14q32.2 −2.23(29) hsa-miR-379 14q32.2 −2.22(29, 52) hsa-miR-431* 14q32.2 −2.22 hsa-miR-767-5p Xq28 −2.20 hsa-miR-139-3p 11q13.4 −2.17 hsa-miR-154 14q32.2 −2.16(12) hsa-miR-1224-5p 3q27.2 −2.15 hsa-miR-187 18q12.1 −2.14(12) hsa-miR-95 4p16.1 −2.10(14) hsa-miR-369-5p 14q32.2 −2.05 hsa-miR-665 14q32.2 −2.05 hsa-miR-494 14q32. [score:1]
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18
[+] score: 1
The successful bioinformatics approach to identifying miR-1236 allows us to anticipate that miR-3960, miR-3166, miR-4763, miR-665 and miR-663, are potential candidates for anti-HBV miRNA (Tables 1 and 2). [score:1]
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