A Novel Five-Node Feed-Forward Loop Unravels miRNA-Gene-TF Regulatory Relationships in Ischemic Stroke

LncRNA MALAT1 improves cerebral ischemia-reperfusion injury and cognitive dysfunction by regulating miR-142-3p/SIRT1 axis

PURPOSE

To investigate the regulation and related mechanisms of MALAT1 in cerebral ischemia- reperfusion (CI/R) injury.

MATERIALS AND METHODS

72 mice were divided into sham group (n=24), MCAO group (n=24), MCAO+pcDNA-NC group (n=12) and MCAO+MALAT1 group (n=12). At 12 h, 24 h and 48 h after reperfusion, 6 mice were randomly selected from the sham group and the MCAO group to detect the expression of MALAT1, miR-142-3p and SIRT1 in brain tissue. All mice were scored for neurobehavioral after 48 h of reperfusion. After the completion of the scoring, 6 mice were randomly selected from each group and brain tissue was obtained for TTC analysis. The remaining mice of each group were kept on the Morris water maze test after 3 days of feeding. TTC staining and cerebral infarct volume determination. The infarct size of each brain slice was calculated using Image J image analysis software. OGD/R model PC12 cells were prepared according to simulating CI/R injury in vitro. MALAT1 was cloned into the pcDNA3.1 to construct a MALAT1 overexpression vector with the empty vector NC as a control. Plasmid or oligonuceotides were transfected into PC12 cells. The content of TNF-α, IL-1β, IL-6, the content of reactive oxygen species (ROS), malondialdehyde (MDA) in brain tissue was detected. The activity of superoxide dismutase (SOD), catalase (CAT) activity was measured.

RESULTS

MALAT1 was down-regulated in a time-dependent manner in CI/R-damaged mouse cerebral cortex and OGD/R-induced PC12 cells, accompanied by an increase in the expression of miR-142-3p and a decrease in sirtuin 1 (SIRT1) expression. Overexpression of MALAT1 inhibited OGD/R-induced cell necrosis and apoptosis and promoted cell proliferation. Overexpression of MALAT1 reduced the levels of TNF-α, IL-6, IL-1β, ROS and MDA and increased the activities of SOD and CAT in OGD/R-injured PC12 cells. MALAT1 negatively regulated the expression of miR-142-3p, and SIRT1 was a target gene of miR-142-3p. The expression of SIRT1 induced by MALAT1 overexpression was obviously abolished by the introduction of miR-142-3p mimic. MALAT1 overexpression can exert its role by regulating the miR-142-3p/SIRT1 axis. Besides, overexpression of MALAT1 improved cerebral infarction, neurological impairment and cognitive dysfunction in CI/R mice.

CONCLUSION

MALAT1 mediates SIRT1 expression by acting as a ceRNA of miR-142-3p to improve CI/R injury.

Abbreviations: CAT: catalase; CI/R: cerebral ischemia-reperfusion; IL-1β: interleukin-1β; IL-6: interleukin-6; lncRNA: long-chain non-coding RNA; MALAT1: metastasis-associated lung adenocarcinoma transcript1; MCAO: middle cerebral artery occlusion; MDA: malondialdehyde; OGD/R: oxygen-glucose deprivation and reoxygenation; ROS: reactive oxygen species; SIRT1: sirtuin 1; SOD: superoxide dismutase; TNF-α: tumour necrosis factor-alpha.

Potential Regulation of miRNA-29 and miRNA-9 by Estrogens in Neurodegenerative Disorders: An Insightful Perspective

Finding a link between a hormone and microRNAs (miRNAs) is of great importance since it enables the adjustment of genetic composition or cellular functions without needing gene-level interventions. The dicer-mediated cleavage of precursor miRNAs is an interface link between miRNA and its regulators; any disruption in this process can affect neurogenesis. Besides, the hormonal regulation of miRNAs can occur at the molecular and cellular levels, both directly, through binding to the promoter elements of miRNAs, and indirectly, via regulation of the signaling effects of the post-transcriptional processing proteins. Estrogenic hormones have many roles in regulating miRNAs in the brain. This review discusses miRNAs, their detailed biogenesis, activities, and both the general and estrogen-dependent regulations. Additionally, we highlight the relationship between miR-29, miR-9, and estrogens in the nervous system. Such a relationship could be a possible etiological route for developing various neurodegenerative disorders.

Construction Immune Related Feed-Forward Loop Network Reveals Angiotensin II Receptor Blocker as Potential Neuroprotective Drug for Ischemic Stroke

Ischemic stroke (IS) accounts for the leading cause of disability and mortality in China. Increasing researchers are studying the effects of neuroprotective agents on IS. However, the molecular mechanisms of feed-forward loops (FFLs) associated with neuroprotection in the pathogenesis of IS need to be further studied. A protein-protein interaction (PPI) network of IS immune genes was constructed to decipher the characters and excavate 3 hub genes (PI3K, IL6, and TNF) of immunity. Then, we identified two hub clusters of IS immune genes, and the cytokine-cytokine receptor interaction pathway was discovered on the pathway enrichment results of both clusters. Combined with GO enrichment analysis, the cytokines participate in the inflammatory response in the extracellular space of IS patients. Next, a transcription factor (TF)-miRNA-immune gene network (TMIGN) was established by extracting four regulatory pairs (TF-miRNA, TF-gene, miRNA-gene, and miRNA-TF). Then, we detected 3-node regulatory motif types in the TMIGN network. According to the criteria we set for defining 3-node motifs, the motif with the highest Z-score (3-node composite FFL) was picked as the statistically evident motif, which was merged to construct an immune-associated composite FFL motif-specific sub-network (IA-CFMSN), which contained 21 3-node FFLs composed of 13 miRNAs, 4 TFs, 9 immune genes, and 1 TF& immune gene, among which TP53 and VEGFA were prominent TF and immune gene, respectively. In addition, the immune genes in IA-CFMSN were used for identifying associated pathways and drugs to further clarify the immune regulation mechanism and neuroprotection after IS. As a result, 5 immune genes targeted by 20 drugs were identified and the Angiotensin II Receptor Blockers (ARBs) target AGTR1 was found to be a neuroprotective drug for IS. In the present study, the construction of IA-CFMSN provides IS immune-associated FFLs for further experimental studies, providing new prospects for the discovery of new biomarkers and potential drugs for IS.

Deciphering Key Genes and miRNAs Associated With Hepatocellular Carcinoma via Network-Based Approach

Hepatocellular carcinoma (HCC)is a common type of liver cancer and has a high mortality world-widely. The diagnosis, prognoses, and therapeutics are very poor due to the unclear molecular mechanism of progression of the disease. To unveil the molecular mechanism of progression of HCC, we extract a large sample of mRNA expression levels from the GEO database where a total of 167 samples were used for study, and out of them, 115 samples were from HCC tumor tissue. This study aims to investigate the module of differentially expressed genes (DEGs)which are co-expressed only in HCC sample data but not in normal tissue samples. Thereafter, we identified the highly significant module of significant co-expressed genes and formed a PPI network for these genes. There were only six genes (namely, MSH3, DMC1, ALPP, IL10, ZNF223, and HSD17B7)obtained after analysis of the PPI network. Out of six only MSH3, DMC1, HSD17B7, and IL10 were found enriched in GO Term & Pathway enrichment analysis and these candidate genes were mainly involved in cellular process, metabolic and catalytic activity, which promote the development & progression of HCC. Lastly, the composite 3-node FFL reveals the driver miRNAs and TFs associated with our key genes.

Construction of a TF-miRNA-gene feed-forward loop network predicts biomarkers and potential drugs for myasthenia gravis

Myasthenia gravis (MG) is an autoimmune disease and the most common type of neuromuscular disease. Genes and miRNAs associated with MG have been widely studied; however, the molecular mechanisms of transcription factors (TFs) and the relationship among them remain unclear. A TF–miRNA–gene network (TMGN) of MG was constructed by extracting six regulatory pairs (TF–miRNA, miRNA–gene, TF–gene, miRNA–TF, gene–gene and miRNA–miRNA). Then, 3/4/5-node regulatory motifs were detected in the TMGN. Then, the motifs with the highest Z-score, occurring as 3/4/5-node composite feed-forward loops (FFLs), were selected as statistically significant motifs. By merging these motifs together, we constructed a 3/4/5-node composite FFL motif-specific subnetwork (CFMSN). Then, pathway and GO enrichment analyses were performed to further elucidate the mechanism of MG. In addition, the genes, TFs and miRNAs in the CFMSN were also utilized to identify potential drugs. Five related genes, 3 TFs and 13 miRNAs, were extracted from the CFMSN. As the most important TF in the CFMSN, MYC was inferred to play a critical role in MG. Pathway enrichment analysis showed that the genes and miRNAs in the CFMSN were mainly enriched in pathways related to cancer and infections. Furthermore, 21 drugs were identified through the CFMSN, of which estradiol, estramustine, raloxifene and tamoxifen have the potential to be novel drugs to treat MG. The present study provides MG-related TFs by constructing the CFMSN for further experimental studies and provides a novel perspective for new biomarkers and potential drugs for MG.

Integrated analysis of the proteome and transcriptome in a MCAO mouse model revealed the molecular landscape during stroke progression

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DIA proteomics was applied to MCAO mice detection for the first time.

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Proteomics and bioinformatics revealed relationship between stroke process and immunity, especially inflammation.

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C3, Apoa4 and S100a9 were highlighted as a marker or drug targets for stroke.

Strokes usually results in long-term disability and death, and they occur worldwide. Recently, increased research on both on the physiopathological mechanisms and the transcriptome during stroke progression, have highlighted the relationship between stroke progression and immunity, with a special focus on inflammation. Here, we applied proteome analysis to a middle carotid artery occlusion (MCAO) mouse model at 0 h, 6 h, 12 h and 24 h, in which proteome profiling was performed with 23 samples, and 41 differentially expressed proteins (DEPs) were identified. Bioinformatics studies on our data revealed the importance of the immune response and particularly identified the inflammatory response, cytokine- cytokine receptor interactions, the innate immune response and reactive oxygen species (ROS) during stroke progression. In addition, we compared our data with multiple gene expression omnibus (GEO) datasets with and without a time series, in which similar pathways were identified, and three proteins, C3, Apoa4 and S100a9, were highlighted as markers or drug targets for stroke; these three proteins were significantly upregulated in the MCAO model, both in our proteomic data and in the GEO database.

miR-9 Upregulation Integrates Post-ischemic Neuronal Survival and Regeneration In Vitro

The irrefutable change in the expression of brain-enriched microRNAs (miRNAs) following ischemic stroke has promoted the development of radical miRNA-based therapeutics encompassing neuroprotection and neuronal restoration. Our previous report on the systems-level prediction of miR-9 in post-stroke-induced neurogenesis served as a premise to experimentally uncover the functional role of miR-9 in post-ischemic neuronal survival and regeneration. The oxygen-glucose deprivation (OGD) in SH-SY5Y cells significantly reduced miR-9 expression, while miR-9 mimic transfection enhanced post-ischemic neuronal cell viability. The next major objective involved the execution of a drug repositioning strategy to augment miR-9 expression via structure-based screening of Food and Drug Administration (FDA)-approved drugs that bind to Histone Deacetylase 4 (HDAC4), a known miR-9 target. Glucosamine emerged as the top hit and its binding potential to HDAC4 was verified by Molecular Dynamics (MD) Simulation, Drug Affinity Responsive Target Stability (DARTS) assay, and MALDI-TOF MS. It was intriguing that the glucosamine treatment 1-h post-OGD was associated with the increased miR-9 level as well as enhanced neuronal viability. miR-9 mimic or post-OGD glucosamine treatment significantly increased the cellular proliferation (BrdU assay), while the neurite outgrowth assay displayed elongated neurites. The enhanced BCL2 and VEGF parallel with the reduced NFκB1, TNF-α, IL-1β, and iNOS mRNA levels in miR-9 mimic or glucosamine-treated cells further substantiated their post-ischemic neuroprotective and regenerative efficacy. Hence, this study unleashes a potential therapeutic approach that integrates neuronal survival and regeneration via small-molecule-based regulation of miR-9 favoring long-term recovery against ischemic stroke.

Twenty-Seven Tamoxifen-Inducible iCre-Driver Mouse Strains for Eye and Brain, Including Seventeen Carrying a New Inducible-First Constitutive-Ready Allele

To understand gene function, the cre/loxP conditional system is the most powerful available for temporal and spatial control of expression in mouse. However, the research community requires more cre recombinase expressing transgenic mouse strains (cre-drivers) that restrict expression to specific cell types. To address these problems, a high-throughput method for large-scale production that produces high-quality results is necessary. Further, endogenous promoters need to be chosen that drive cell type specific expression, or we need to further focus the expression by manipulating the promoter. Here we test the suitability of using knock-ins at the docking site 5′ of Hprt for rapid development of numerous cre-driver strains focused on expression in adulthood, using an improved cre tamoxifen inducible allele (icre/ERT2), and testing a novel inducible-first, constitutive-ready allele (icre/f3/ERT2/f3). In addition, we test two types of promoters either to capture an endogenous expression pattern (MaxiPromoters), or to restrict expression further using minimal promoter element(s) designed for expression in restricted cell types (MiniPromoters). We provide new cre-driver mouse strains with applicability for brain and eye research. In addition, we demonstrate the feasibility and applicability of using the locus 5′ of Hprt for the rapid generation of substantial numbers of cre-driver strains. We also provide a new inducible-first constitutive-ready allele to further speed cre-driver generation. Finally, all these strains are available to the research community through The Jackson Laboratory.

Large-Scale Functional Analysis of CRP-Mediated Feed-Forward Loops

Feed-forward loops (FFLs) represent an important and basic network motif to understand specific biological functions. Cyclic-AMP (cAMP) receptor protein (CRP), a transcription factor (TF), mediates catabolite repression and regulates more than 400 genes in response to changes in intracellular concentrations of cAMP in Escherichia coli. CRP participates in some FFLs, such as araBAD and araFGH operons and adapts to fluctuating environmental nutrients, thereby enhancing the survivability of E. coli. Although computational simulations have been conducted to explore the potential functionality of FFLs, a comprehensive study on the functions of all structural types on the basis of in vivo data is lacking. Moreover, the regulatory role of CRP-mediated FFLs (CRP-FFLs) remains obscure. We identified 393 CRP-FFLs in E. coli using EcoCyc and RegulonDB. Dose⁻response genomic microarray of E. coli revealed dynamic gene expression of each target gene of CRP-FFLs in response to a range of cAMP dosages. All eight types of FFLs were present in CRP regulon with various expression patterns of each CRP-FFL, which were further divided into five functional groups. The microarray and reported regulatory relationships identified 202 CRP-FFLs that were directly regulated by CRP in these eight types of FFLs. Interestingly, 34% (147/432) of genes were directly regulated by CRP and CRP-regulated TFs, which indicates that these CRP-regulated genes were also regulated by other CRP-regulated TFs responding to environmental signals through CRP-FFLs. Furthermore, we applied gene ontology annotation to reveal the biological functions of CRP-FFLs.