Bioinformatics analysis of ferroptosis in spinal cord injury

Ferroptosis plays a key role in aggravating the progression of spinal cord injury(SCI),but the specific mechanism remains unknown.In this study,we constructed a rat model of T10 SCI using a modified Allen method.We identified 48,44,and 27 ferroptosis genes that were differentially expressed at 1,3,and 7 days after SCI induction.Compared with the sham group and other SCI subgroups,the subgroup at 1 day after SCI showed increased expression of the ferroptosis marker acyl-CoA synthetase long-chain family member 4 and the oxidative stress marker malondialdehyde in the injured spinal cord while glutathione in the injured spinal cord was lower.These findings with our bioinformatics results suggested that 1 day after SCI was the important period of ferroptosis progression.Bioinformatics analysis identified the following top ten hub ferroptosis genes in the subgroup at 1 day after SCI:STAT3,JUN,TLR4,ATF3,HMOX1,MAPK1,MAPK9,PTGS2,VEGFA,and RELA.Real-time polymerase chain reaction on rat spinal cord tissue confirmed that STAT3,JUN,TLR4,ATF3,HMOX1,PTGS2,and RELA mRNA levels were up-regulated and VEGFA,MAPK1 and MAPK9 mRNA levels were down-regulated.Ten potential compounds were predicted using the DSigDB database as potential drugs or molecules targeting ferroptosis to repair SCI.We also constructed a ferroptosis-related mRNA-miRNA-lncRNA network in SCI that included 66 lncRNAs,10 miRNAs,and 12 genes.Our results help further the understanding of the mechanism underlying ferroptosis in SCI.

Analysis of Proteotranscriptomics Landscape Reveals Differentially Regulated Pathways in Toxoplasma gondii Infected Mouse Liver

Toxoplasma gondii (T. gondii) an intracellular protozoan parasite, infects mammals including human population world-wide. Upon primary infection, the parasite contributes to mild flu like symptoms in immune competent host, but life threatening complication is seen in immune compromised patients and in pregnant women. Understanding the host-parasite interaction is critical for understanding the pathogenesis and biology parasite reactivation in the host. In this study, we used proteotrasncriptomics analyses by integrating the transcriptomics and proteomics data of T. gondii infected mouse liver to uncover the effector molecules responsible for disease pathogenesis that can be used as candidate markers for diagnosis and drug target. With this aim, we systematically integrated transcriptomicand proteomic data, representing the parasite infected mouse liver. Out of 2758 differentially expressed genes (DEGs) and 301 differentially expressed proteins (DEPs), 159 overlapping genes were identified. Among them, 86 genes were upregulated and 72 were downregulated in their respective mRNA and protein levels in the infected condition. Gene Ontology (GO) analysis revealed that the upregulated genes were mostly associated with immune system processes whereas the downregulated genes were involved in oxidation-reduction process and metabolism of lipid, and fatty acids. Protein-protein interaction (PPI) network analysis uncovered an interaction-hub including, Psmb8, Psmb9 and Tap1 for upregulated proteins and Cyp1A2, Cyp4A10 and Cyp3A11 for down-regulated proteins. Further studies are needed to validating these effector molecules. These molecules are likely to play a vital role in disease pathogenesis, as well as can be used as potential diagnostic marker and drug target candidates.

Differential Expression of Genes in HepG2 Cells Caused by UC001kfo RNAi as Shown by RNA-seq

The differential expression of genes in HepG2 cells caused by UC001 kfo RNAi was investigated using RNA-seq. HepG2 cells were infected by Lenti-sh UC001 kfo lentivirus particles. The expression of UC001 kfo m RNA in the HepG2-sh UC001 kfo cell line was detected by real-time PCR. RNA-seq technology was used to identify the difference in the expression of genes regulated by lnc RNA UC001 kfo in the HepG2 cell line. Gene ontology and signaling pathway analysis were performed to reveal the biological functions of the genes encoding of significantly different m RNAs. The results showed that m RNAs were differentially expressed between the HepG2-sh UC001 kfo cell line and the HepG2 cell line. The UC001 kfo m RNA was significantly down-regulated in the stable cell line HepG2-sh UC001kfo（P〈0.001）. Additionally, we found 19 signaling pathways or functional classifications encompassing 30 genes that played a role in cancer characteristics, cell adhesion, invasion and migration. The results also showed that the expression of many genes associated with cancer cell invasion and metastasis was decreased with the down-regulation of the lnc RNA UC001 kfo. Lnc RNA UC001 kfo may play a role in regulating cancer cell invasion and metastasis. It was suggested that m RNAs were differentially expressed in the HepG2 cell line after the down-regulation of lnc RNA-UC001 kfo. Some took part in the extracellular matrix, cell adhesion, motility, growth, and localization. The genes encoding of differentially expressed m RNAs may participate in cell invasion and metastasis.

MicroRNAs: a novel promising therapeutic target for cerebral ischemia/reperfusion injury?

To determine the molecular mechanism of cerebral ischemia/reperfusion injury, we examined the micro RNA（mi RNA） expression profile in rat cortex after focal cerebral ischemia/reperfusion injury using mi RNA microarrays and bioinformatic tools to systematically analyze Gene Ontology（GO） function classifications, as well as the signaling pathways of genes targeted by these differentially expressed mi RNAs. Our results show significantly changed mi RNA expression profiles in the reperfusion period after focal cerebral ischemia, with a total of 15 mi RNAs up-regulated and 44 mi RNAs down-regulated. Target genes of these differentially expressed mi RNAs were mainly involved in metabolic and cellular processes, which were identified as hub nodes of a mi RNA-GO-network. The most correlated pathways included D-glutamine and D-glutamate metabolism, the renin-angiotensin system, peroxisomes, the PPAR signaling pathway, SNARE interactions in vesicular transport, and the calcium signaling pathway. Our study suggests that mi RNAs play an important role in the pathological process of cerebral ischemia/reperfusion injury. Understanding mi RNA expression and function may shed light on the molecular mechanism of cerebral ischemia/reperfusion injury.

Expression and regulatory network of long noncoding RNA in rats after spinal cord hemisection injury

Long noncoding RNAs(lncRNAs)participate in a variety of biological processes and diseases.However,the expression and function of lncRNAs after spinal cord injury has not been extensively analyzed.In this study of right side hemisection of the spinal cord at T10,we detected the expression of lncRNAs in the proximal tissue of T10 lamina at different time points and found 445 lncRNAs and 6522 mRNA were differentially expressed.We divided the differentially expressed lncRNAs into 26 expression trends and analyzed Profile 25 and Profile 2,the two expression trends with the most significant difference.Our results showed that the expression of 68 lncRNAs in Profile 25 rose first and remained high 3 days post-injury.There were 387 mRNAs co-expressed with the 68 lncRNAs in Profile 25.The co-expression network showed that the co-expressed genes were mainly enriched in cell division,inflammatory response,FcγR-mediated cell phagocytosis signaling pathway,cell cycle and apoptosis.The expression of 56 lncRNAs in Profile2 first declined and remained low after 3 days post-injury.There were 387 mRNAs co-expressed with the 56 lncRNAs in Profile 2.The co-expression network showed that the co-expressed genes were mainly enriched in the chemical synaptic transmission process and in the signaling pathway of neuroactive ligand-receptor interaction.The results provided the expression and regulatory network of the main lncRNAs after spinal cord injury and clarified their co-expressed gene enriched biological processes and signaling pathways.These findings provide a new direction for the clinical treatment of spinal cord injury.

Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis

Curcumin, the medically active component from Curcuma Tonga (Turmeric), is widely used to treat inflammatory diseases. Protein interaction network (PIN) analysis was used to predict its mechanisms of molecular action. Targets of curcumin were obtained based on ChEMBL and STITCH databases. Protein protein interactions (PPIs) were extracted from the String database. The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology (GO) enrichment analysis based on molecular complex detection (MCODE). A PIN of curcumin with 482 nodes and 1688 interactions was constructed, which has scale-free, small world and modular properties. Based on analysis of these function modules, the mechanism of curcumin is proposed. Two modules were found to be intimately associated with inflammation. With function modules analysis, the anti-inflammatory effects of curcumin were related to SMAD, ERG and mediation by the TLR family. TLR9 may be a potential target of curcumin to treat inflammation. (C) 2015 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.