| Literature DB >> 23443129 |
Shunjiang Xu1, Rui Zhang, Jingya Niu, Dongsheng Cui, Bing Xie, Binggui Zhang, Kang Lu, Wenjun Yu, Xueyi Wang, Qingfu Zhang.
Abstract
Oxidative stress plays a critical role in the etiology and pathogenesis of neurodegenerative disorders, and the molecular mechanisms that control the neuron response to ROS have been extensively studied. However, the oxidative stress-effect on miRNA expression in hippocampal neurons has not been investigated, and little is known on the effect of ROS-modulated miRNAs on cell function. In this study, H(2)O(2) was used to stimulate the mouse primary hippocampal neurons to develop an oxidative stress cell model. The alterations of miRNAs expression were detected by microarray analysis and five miRNAs were validated by real-time RT-PCR. The bioinformatic analysis of deregulated miRNAs was performed to determine their potential roles in the pathogenesis of neurological disorders. We found that H(2)O(2) mediated a total of 101 deregulated miRNAs, which mainly took part in the regulation of the MAPK pathway. Among them, miR-135b and miR-708 were up-regulated significantly and their targets were predicted to be involved in DNA recombination, protein ubiquitination, protein autophosphorylation and development of neurons. These results demonstrated that oxidative stress alters the miRNA expression profile of hippocampal neurons, and the deregulated miRNAs might play a potential role in the pathogenesis of neurodegenerative diseases, such as Alzheimer's disease (AD).Entities:
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Year: 2012 PMID: 23443129 PMCID: PMC3546732 DOI: 10.3390/ijms131216945
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1The effect of H2O2 on the cell viability of mouse primary hippocampal neurons. (a) Primary hippocampal neurons grown for 7 DIV were immunostained for MAP-2; (b) Cell viability was assessed at 24 h after stimulation with different concentrations (0, 100, 200, 400 and 800 μmol/L) of H2O2 by MTT assay. * p < 0.05 versus control.
Figure 2The apoptosis percentage of primary hippocampal neurons induced by H2O2. Cells were stained with TUNEL and Hoechst 33258 after stimulation with 200 μmol/L H2O2 for 24 h. (a) Morphological apoptosis was determined by TUNEL assay. Green-stained cells were TUNEL-positive cells (I). All nuclei were stained with Hoechst 33258 (II). The merge of I and II is III (200×); (b) The ratio of TUNEL-positive primary hippocampal neurons to the total cells. * p < 0.01 versus control. All data were expressed as mean ± SD of three experiments. The images shown are representative images.
Figure 3The death percentage of primary hippocampal neurons induced by H2O2. Cells were stained with PI and Hoechst 33258 after stimulation with 200 μmol/L H2O2 for 24 h. (a) Morphological cell death was determined by PI staining. Red stained cells were PI-positive cells (I). All nuclei were stained with Hoechst 33258 (II). The merge of I and II is III (200×); (b) The ratio of PI -positive primary hippocampal neurons to the total cells. * p < 0.01 versus control. The images shown are representative images.
The main function predicted by bioinformatics analysis of deregulated microRNAs in mouse primary hippocampal neurons after H2O2 stimulation.
| miRNA | Total targets in mouse | KEGG pathway | Targets in pathway | Total counts in hippo-campus [ | |
|---|---|---|---|---|---|
| miR-135b | 979 | Steroid biosynthesis | 4 | 3.05 × 10−2 | 4299 |
| miR-708 | 109 | Neurotrophin signaling pathway | 6 | 2.48 × 10−4 | 9638 |
| MAPK signaling pathway | 7 | 9.66 × 10−4 | |||
| Axon guidance | 5 | 2.63 × 10−3 | |||
| ErbB signaling pathway | 4 | 6.80 × 10−3 | |||
| Chemokine signaling pathway | 5 | 8.47 × 10−3 | |||
| T cell receptor signaling pathway | 4 | 1.56 × 10−2 | |||
| Insulin signaling pathway | 4 | 2.36 × 10−2 | |||
| miR-296 | 777 | MAPK signaling pathway | 23 | 1.57 × 10−4 | 163 |
| Hedgehog signaling pathway | 6 | 4.18 × 10−2 | |||
| Complement and coagulation cascades | 7 | 4.96 × 10−2 | |||
| mir-26b | 948 | Regulation of autophagy | 5 | 4.86 × 10−2 | 227704 |
| miR-201 | 830 | Calcium signaling pathway | 13 | 4.79 × 10−2 | 4 |
| Steroid biosynthesis | 4 | 2.28 × 10−2 | |||
| miR-9 | 888 | Glycosylphosphatidylinositol (GPI)-anchor biosynthesis | 6 | 2.67 × 10−3 | 2298920 |
| ECM-receptor interaction | 8 | 4.69 × 10−2 | |||
| miR-200c | 770 | Neurotrophin signaling pathway | 24 | 9.97 × 10−11 | 178 |
| Insulin signaling pathway | 19 | 1.46 × 10−6 | |||
| Axon guidance | 17 | 1.35 × 10−5 | |||
| MAPK signaling pathway | 25 | 1.88 × 10−5 | |||
| ErbB signaling pathway | 13 | 5.00 × 10−5 | |||
| mTOR signaling pathway | 10 | 1.01 × 10−4 | |||
| Apoptosis | 10 | 3.53 × 10−3 | |||
| Wnt signaling pathway | 11 | 3.88 × 10−2 | |||
| miR-377 | 327 | MAPK signaling pathway | 10 | 1.59 × 10−2 | 1775 |
| Ubiquitin mediated proteolysis | 7 | 1.50 × 10−2 | |||
| TGF-beta signaling pathway | 5 | 3.95 × 10−2 | |||
| mTOR signaling pathway | 4 | 4.53 × 10−2 | |||
| miR-713 | 810 | Spliceosome | 10 | 3.82 × 10−2 | ~ |
| miR-470 | 739 | ECM-receptor interaction | 7 | 4.94 × 10−2 | 4 |
| miR-190b | 805 | Valine, leucine and isoleucine degradation | 6 | 2.68 × 10−2 | 4958 |
| miR-1190 | 215 | MAPK signaling pathway | 9 | 2.10 × 10−3 | ~ |
| VEGF signaling pathway | 4 | 2.95 × 10−2 | |||
| Regulation of actin cytoskeleton | 6 | 4.24 × 10−2 | |||
| miR-32 | 949 | ~ | ~ | 5042 | |
| miR-297 | 895 | No Pathways predicted | ~ | ~ | 13 |
| miR-1956 | 3 | No Pathways predicted | ~ | ~ | 4 |
| miR-369 | ~ | ~ | ~ | ~ | 3556 |
| miR-291a | ~ | ~ | ~ | ~ | ~ |
Figure 4Real-time quantification of chosen miRNAs in primary hippocampal neurons exposure to H2O2 (200 μmol/L) for 6 h. T-test p-value significance: ** p < 0.01, * p < 0.05. Expression was normalized to snoRNA U6. Three replicates of each qRT-PCR were performed.
Functional analysis of miR-135 targets.
| miR-135 targets GO-term Analysis | ||
|---|---|---|
| 1 | GO:0008544~epidermis development | 1.96 × 10−3 |
| 2 | GO:0006310~DNA recombination | 3.62 × 10−3 |
| 3 | GO:0016567~protein ubiquitination | 1.87 × 10−2 |
| 4 | GO:0046777~protein amino acid autophosphorylation | 1.87×10−2 |
| 5 | GO:0002520~immune system development | 2.09×10−2 |
| 1 | GO:0005829~cytosol | 3.48 × 10−3 |
| 2 | GO:0045177~apical part of cell | 5.01 × 10−3 |
| 3 | GO:0016324~apical plasma membrane | 9.00 × 10−3 |
| 4 | GO:0005681~spliceosome | 3.74 × 10−2 |
| 5 | GO:0044429~mitochondrial part | 3.77 × 10−2 |
| 1 | GO:0008134~transcription factor binding | 8.07 × 10−3 |
| 2 | GO:0004713~protein tyrosine kinase activity | 1.28 × 10−2 |
| 3 | GO:0043169~cation binding | 1.42 × 10−2 |
| 4 | GO:0043167~ion binding | 1.52 × 10−2 |
| 5 | GO:0046872~metal ion binding | 1.60 × 10−2 |
Functional analysis of miR-708 targets.
| miR-708 targets GO-term Analysis | ||
|---|---|---|
| 1 | GO:0051057~positive regulation of small GTPase mediated signal transduction | 3.42 × 10−3 |
| 2 | GO:0006468~protein amino acid phosphorylation | 4.21 × 10−3 |
| 3 | GO:0045444~fat cell differentiation | 5.53 × 10−3 |
| 4 | GO:0008284~positive regulation of cell proliferation | 6.52 × 10−3 |
| 5 | GO:0048666~neuron development | 7.44 × 10−3 |
| 1 | GO:0042995~cell projection | 6.54 × 10−3 |
| 2 | GO:0030425~dendrite | 1.65 × 10−2 |
| 3 | GO:0043005~neuron projection | 3.14 × 10−2 |
| 4 | GO:0009898~internal side of plasma membrane | 5.12 × 10−2 |
| 5 | GO:0043228~non-membrane-bounded organelle | 7.54 × 10−2 |
| 1 | GO:0004674~protein serine/threonine kinase activity | 1.93 × 10−3 |
| 2 | GO:0017076~purine nucleotide binding | 4.22 × 10−3 |
| 3 | GO:0032555~purine ribonucleotide binding | 6.28 × 10−3 |
| 4 | GO:0032553~ribonucleotide binding | 6.28 × 10−3 |
| 5 | GO:0000166~nucleotide binding | 1.04 × 10−2 |