Abstract 549: Characterization of Mesenchymal Stromal Cell-derived Exosomes From Patients With Improved Function Outcome After Ischemic Cardiomyopathy: A Biorepository Evaluation of the Focus-CCTRN Trial

2020 ◽  
Vol 127 (Suppl_1) ◽  
Author(s):  
Lourdes I Chacon ◽  
Fernanda Mesquita ◽  
Hassan Virk ◽  
Camila Hochman-mendez ◽  
Doris A Taylor
Keyword(s):  
Endoplasmic Reticulum ◽  
Signaling Pathway ◽  
Ischemic Cardiomyopathy ◽  
Antigen Processing ◽  
Molecular Mechanisms ◽  
Autologous Transplantation ◽  
Cardiac Repair ◽  
Gene Set Enrichment Analysis ◽  
Receptor Interaction ◽  
Modest Improvement

Mesenchymal stromal cells derived from bone marrow (BM-MSCs) have been considered promisingcandidates for regenerative medicine therapies for more than 20 years, but to date cardiovascular clinicaltrials of MSC-based therapies have demonstrated only modest improvement. However, the mechanismsunderlying why some patients improve and others do not remain undefined. Although MSC survival aftertransplantation remains a challenge, several studies have reported that BM-MSC-mediated paracrineeffects and delivery of exosomes may be therapeutically relevant. We hypothesized that MSC-derivedexosomes from patients with cardiac functional improvement contain factors that promote cell survival,proliferation, and cardiac protection. Here, we compared exosomes (derived from MSCs that had beenexpanded from BM-MNCs used for autologous transplantation) from two cohorts of disease- and age-matched consented patients with ischemic cardiomyopathy enrolled in the FOCUS-CCTRN trial—thosewith improved (cohort1, n=3) or worsened (cohort2, n=3) functional outcome in three primary endpoints:left ventricular (LV) ejection fraction, LV end-systolic volume, and maximal oxygen consumption.MicroRNA-seq analysis identified 16 upregulated and 12 downregulated miRNAs in cohort 1 whencompared to cohort 2. Using DIANA-Mir Path v.3.0, we identified 3,522 experimentally validated genetargets. Gene set enrichment analysis identified enrichment for fatty acid biosynthesis and metabolism,Hippo signaling pathway, protein processing in endoplasmic reticulum, adherent junction, cell cycle,endocytosis, RNA transport and degradation, estrogen-signaling pathway, regulation of actincytoskeleton, Prolactin signaling pathway, Focal adhesion, Notch-signaling pathway, p53-signalingpathway, insulin-signaling pathway and HIF-1-signaling pathway in the targets of upregulated miRNAs.The downregulated miRNAs were related to extracellular matrix-receptor interaction, protein processingin endoplasmic reticulum, cytokine-cytokine receptor interaction and antigen processing andpresentation. Thus, the identified miRNAs differentially expressed in patients with an improved functionaloutcome that may play a role in the molecular mechanisms that underlie in cardiac repair in patients withischemic cardiac disease. Moreover, these finding indicate that not all autologous cell products may becompetent therapy candidates for cardiac repair These results warrant further investigation to confirmthe effects of the identified differences on the target genes, which could improve the prognosis and unveilnew therapeutic approaches.

scholarly journals Nanopore Long-Read Transcriptomics Profiling Reveals Gene Expression Signatures of Mouse Tumor Endothelial Cells 2H-11

2021 ◽  
Author(s):  
Yuanyuan Tian ◽  
Jiao Zhao ◽  
Ju Huang ◽  
Haiying Zhang ◽  
Fushun Ni ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Signaling Pathway ◽  
Antigen Processing ◽  
Molecular Mechanisms ◽  
Mapk Signaling ◽  
Receptor Interaction ◽  
Glutathione Metabolism ◽  
Signal Pathways ◽  
Mouse Tumor ◽  
Tumor Endothelial Cells

Abstract Background:Tumor endothelial cells (TECs) play an indispensable role in tumor growth and metastasis. Compared with normal endothelial cells (NECs), TECs exhibit unique phenotypic and functional heterogeneity in terms of metabolism, genetics, and transcriptomics. It is not only the key to coordinate tumor angiogenesis, but also an important factor of immune regulation in the tumor microenvironment. In recent years, the role of TECs in tumor metabolism and invasion has been continuously reported. However, the research on the mechanism behind the complex functions of TECs is still at the basic stage. We use Oxford Nanopore Technology (ONT) three-generation full-length transcriptome sequencing to detect all genetic structural changes in the transcriptome of mouse TECs 2H-11 and mouse NECs SVEC4-10.Results: In Tumor endothelial cells 2H-11,1847genes are up-regulated and 1202 genes are down-regulated. According to the Gene ontology (GO) enrichment analysis of differentially expressed genes (DEGs), we found that different functional trends related to metabolic processes, developmental processes, localization, immune system processes, and locomotion are the main reasons for the differences. DEGs are mainly enriched in signal pathways related to cancer, immunity and metabolism, involving Pathways in cancer,Antigen processing and presentation , Proteoglycans in cancer, Focal adhesion, MAPK signaling pathway ,Protein digestion and absorption，ECM-receptor interaction，PI3K-Akt signaling pathway and Glutathione metabolism. We also obtained the structural variation of transcripts such as alternative splicing, gene fusion, and alternative polyadenylation and accurately quantified the expression of the transcript. Some of our results have been confirmed in other documents. But other data have not been reported yet, which is the focus of our future exploration.Conclusion: We try to use transcriptomics and bioinformatics methods to characterize tumor endothelial cell-related genes and signaling pathways.It could help better understand the molecular mechanisms of tumor endothelial cells involved in tumorigenesis and development. DEGs in key pathways may be potential diagnostic markers or therapeutic targets of TECs. Our data also provide useful genetic resources for improving the genome and transcriptome annotations of TECs and NECs.

scholarly journals Identification of upregulated NF-κB inhibitor alpha and IRAK3 targeting lncRNA following intracranial aneurysm rupture-induced subarachnoid hemorrhage

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Leng ◽  
Dan Fan ◽  
Zhong Ren ◽  
Qiaoying Li
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Intracranial Aneurysm ◽  
Signaling Pathway ◽  
Aneurysm Rupture ◽  
Cytokine Receptor ◽  
Gene Set Enrichment Analysis ◽  
Receptor Interaction ◽  
Regulatory Pathways ◽  
Ruptured Intracranial Aneurysm ◽  
Neurotrophin Signaling

Abstract Background This study was performed to identify genes and lncRNAs involved in the pathogenesis of subarachnoid hemorrhage (SAH) from ruptured intracranial aneurysm (RIA). Methods Microarray GSE36791 was downloaded from Gene Expression Omnibus (GEO) database followed by the identification of significantly different expressed RNAs (DERs, including lncRNA and mRNA) between patients with SAH and healthy individuals. Then, the functional analyses of DEmRNAs were conducted and weighted gene co-expression network analysis (WGCNA) was also performed to extract the modules associated with SAH. Following, the lncRNA-mRNA co-expression network was constructed and the gene set enrichment analysis (GSEA) was performed to screen key RNA biomarkers involved in the pathogenesis of SAH from RIA. We also verified the results in a bigger dataset GSE7337. Results Totally, 561 DERs, including 25 DElncRNAs and 536 DEmRNAs, were identified. Functional analysis revealed that the DEmRNAs were mainly associated with immune response-associated GO-BP terms and KEGG pathways. Moreover, there were 6 modules significantly positive-correlated with SAH. The lncRNA-mRNA co-expression network contained 2 lncRNAs (LINC00265 and LINC00937) and 169 mRNAs. The GSEA analysis showed that these two lncRNAs were associated with three pathways (cytokine-cytokine receptor interaction, neurotrophin signaling pathway, and apoptosis). Additionally, IRAK3 and NFKBIA involved in the neurotrophin signaling pathway and apoptosis while IL1R2, IL18RAP and IL18R1 was associated with cytokine-cytokine receptor interaction pathway. The expression levels of these genes have the same trend in GSE36791 and GSE7337. Conclusion LINC00265 and LINC00937 may be implicated with the pathogenesis of SAH from RIA. They were involved in three important regulatory pathways. 5 mRNAs played important roles in the three pathways.

scholarly journals Nox4 Mediates RANKL-induced ER-Phagy and Osteoclastogenesis via Activating ROS/PERK/eIF-2α/ATF4 Pathway

2020 ◽  
Author(s):  
Jing Sun ◽  
wugui chen ◽  
Songtao Li ◽  
Sizhen Yang ◽  
Ying Zhang ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Bone Resorption ◽  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Nuclear Factor Κb ◽  
Protein Levels ◽  
Unfolded Protein ◽  
Regulatory Effects ◽  
Protein Response

Abstract Background: Receptor activator of nuclear factor-κB ligand (RANKL) has been found to induce osteoclastogenesis and bone resorption. However, the underlying molecular mechanisms remain unclear. Methods: Osteoclastogenesis was evaluated by number of TRAP-positive multinuclear (≥3) osteoclasts, bone resorption pits and expression levels of related genes. Autophagy activity were evaluated by LC3-II/LC3-I ratio, number of autophagic vacuoles and adenovirus-mRFP-GFP-tagged LC3 reporting system; Inhibitor chloroquine (CQ) was used to verified the role of autophagy in RANKL-induced osteoclastogenesis; Via downregulating Nox4 with inhibitor (DPI) and retrovirus-conveyed shRNA, we further explored the importance of Nox4 in RANKL-induced autophagy and osteoclastogenesis, as well as the regulatory effects of Nox4 on nonmitochondrial reactive oxygen species (ROS) and PERK/eIF-2α/ATF4 pathway. Intracellular ROS scavenger (NAC), mitochondrial-targeted antioxidant (MitoTEMPO) and inhibitor of PERK (GSK2606414) were also employed to investigate the role of ROS and PERK/eIF-2α/ATF4 pathway in RANKL-induced autophagy and osteoclastogenesis. Results: RANKL markedly increased autophagy, while CQ treatment caused reduction of RANKL-induced autophagy and osteoclastogenesis. Consistent with the increased autophagy, the protein levels of Nox4 were significantly increased, and Nox4 was selectively localized within the endoplasmic reticulum (ER) after RANKL stimulation. DPI and shRNA efficiently decreased the protein level and (or) activity of Nox4 in the ER and inhibited RANKL-induced autophagy and osteoclastogenesis. Mechanistically, we found that Nox4 regulates RANKL-induced autophagy activation and osteoclastogenesis by stimulating the production of nonmitochondrial ROS. Additionally, Nox4-derived nonmitochondrial ROS dramatically activate PERK/eIF-2α/ATF4, which is a critical unfolded protein response (UPR)-related signaling pathway during ER stress. Blocking the activation of the PERK/eIF-2α/ATF4 signaling pathway either by Nox4 shRNA, ROS antioxidant or PERK inhibitor (GSK2606414) treatment significantly inhibited endoplasmic reticulum autophagy (ER-phagy) during RANKL-induced osteoclastogenesis. Conclusions: Our findings provide new insights into the processes of RANKL-induced osteoclastogenesis and will help the development of new therapeutic strategies for osteoclastogenesis-related diseases.

scholarly journals The Role of Circular RNA CDR1as/ciRS-7 in Regulating Tumor Microenvironment: A Pan-Cancer Analysis

Biomolecules ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 429 ◽  
Author(s):  
Zou ◽  
Zheng ◽  
Deng ◽  
Yang ◽  
Xie ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Signaling Pathway ◽  
Malignant Tumors ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Circular Rna ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Receptor Interaction

Circular RNA CDR1as/ciRS-7 functions as an oncogenic regulator in various cancers. However, there has been a lack of systematic and comprehensive analysis to further elucidate its underlying role in cancer. In the current study, we firstly performed a bioinformatics analysis of CDR1as among 868 cancer samples by using RNA-seq datasets of the MiOncoCirc database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), CIBERSORT, Estimating the Proportion of Immune and Cancer cells (EPIC), and the MAlignant Tumors using Expression data (ESTIMATE) algorithm were applied to investigate the underlying functions and pathways. Functional enrichment analysis suggested that CDR1as has roles associated with angiogenesis, extracellular matrix (ECM) organization, integrin binding, and collagen binding. Moreover, pathway analysis indicated that it may regulate the TGF-β signaling pathway and ECM-receptor interaction. Therefore, we used CIBERSORT, EPIC, and the ESTIMATE algorithm to investigate the association between CDR1as expression and the tumor microenvironment. Our data strongly suggest that CDR1as may play a specific role in immune and stromal cell infiltration in tumor tissue, especially those of CD8+ T cells, activated NK cells, M2 macrophages, cancer-associated fibroblasts (CAFs) and endothelial cells. Generally, systematic and comprehensive analyses of CDR1as were conducted to shed light on its underlying pro-cancerous mechanism. CDR1as regulates the TGF-β signaling pathway and ECM-receptor interaction to serve as a mediator in alteration of the tumor microenvironment.

scholarly journals Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Rui-sheng Zhou ◽  
Xiong-Wen Wang ◽  
Qin-feng Sun ◽  
Zeng Jie Ye ◽  
Jian-wei Liu ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Hepg2 Cells ◽  
Molecular Mechanisms ◽  
Mapk Signaling ◽  
Ion Concentration ◽  
Receptor Interaction ◽  
Pathway Enrichment Analysis ◽  
Mrna Levels ◽  
Hub Genes ◽  
Positive Regulation

Hepatocellular carcinoma (HCC) is a primary cause of cancer-related death in the world. Despite the fact that there are many methods to treat HCC, the 5-year survival rate of HCC is still at a low level. Emodin can inhibit the growth of HCC cells invitroand invivo. However, the gene regulation of emodin in HCC has not been well studied. In our research, RNA sequencing technology was used to identify the differentially expressed genes (DEGs) in HepG2 cells induced by emodin. A total of 859 DEGs were identified, including 712 downregulated genes and 147 upregulated genes in HepG2 cells treated with emodin. We used DAVID for function and pathway enrichment analysis. The protein-protein interaction (PPI) network was constructed using STRING, and Cytoscape was used for module analysis. The enriched functions and pathways of the DEGs include positive regulation of apoptotic process, structural molecule activity and lipopolysaccharide binding, protein digestion and absorption, ECM-receptor interaction, complement and coagulation cascades, and MAPK signaling pathway. 25 hub genes were identified and pathway analysis revealed that these genes were mainly enriched in neuropeptide signaling pathway, inflammatory response, and positive regulation of cytosolic calcium ion concentration. Survival analysis showed that LPAR6, C5, SSTR5, GPR68, and P2RY4 may be involved in the molecular mechanisms of emodin therapy for HCC. A quantitative real-time PCR (qRT-PCR) assay showed that the mRNA levels of LPAR6, C5, SSTR5, GPR68, and P2RY4 were significantly decreased in HepG2 cells treated with emodin. In conclusion, the identified DEGs and hub genes in the present study provide new clues for further researches on the molecular mechanisms of emodin.

scholarly journals Gene Differential Expression and Interaction Networks Illustrate the Biomarkers and Molecular Mechanisms of Atherosclerotic Cerebral Infarction

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Benzhuo Zhang ◽  
Wei Huang ◽  
Mingquan Yi ◽  
Chunxu Xing
Keyword(s):  
Network Analysis ◽  
Cerebral Infarction ◽  
Antigen Processing ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Neutrophil Activation ◽  
Receptor Interaction ◽  
Ppi Network ◽  
Geo Database

Atherosclerotic cerebral infarction (ACI) seriously threatens the health of the senile patients, and the strategies are urgent for the diagnosis and treatment of ACI. This study investigated the mRNA profiling of the patients with ischemic stroke and atherosclerosis via excavating the datasets in the GEO database and attempted to reveal the biomarkers and molecular mechanism of ACI. In this study, GES16561 and GES100927 were obtained from Gene Expression Omnibus (GEO) database, and the related differentially expressed genes (DEGs) were analyzed with R language. Furthermore, the DEGs were analyzed with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Besides, the protein-protein interaction (PPI) network of DEGs was analyzed by STRING database and Cytoscape. The results showed that 133 downregulated DEGs and 234 upregulated DEGs were found in GES16561, 25 downregulated DEGs and 104 upregulated DEGs were found in GSE100927, and 6 common genes were found in GES16561 and GES100927. GO enrichment analysis showed that the functional models of the common genes were involved in neutrophil activation, neutrophil degranulation, neutrophil activation, and immune response. KEGG enrichment analysis showed that the DEGs in both GSE100927 and GSE16561 were connected with the pathways including Cell adhesion molecules (CAMs), Cytokine-cytokine receptor interaction, Phagosome, Antigen processing and presentation, and Staphylococcus aureus infection. The PPI network analysis showed that 9 common DEGs were found in GSE100927 and GSE16561, and a cluster with 6 nodes and 12 edges was also identified by PPI network analysis. In conclusion, this study suggested that FCGR3A and MAPK pathways were connected with ACI.

scholarly journals The role of andrographolide and its derivative in COVID-19 associated proteins and immune system

2020 ◽  
Author(s):  
Yadu Nandan Dey ◽  
Pukar Khanal ◽  
B. M. Patil ◽  
Manish M. Wanjari ◽  
Bhavana Srivast ◽  
...  
Keyword(s):  
Immune System ◽  
Signaling Pathway ◽  
Immune Modulation ◽  
Killer Cell ◽  
Mapk Signaling ◽  
Binding Energies ◽  
Gene Set Enrichment Analysis ◽  
Spike Protein ◽  
Network Pharmacology ◽  
Receptor Interaction

Abstract Aim: In view of the strong immunomodulatory and antiviral activity of andrographolide and its derivative, the present study aimed to investigate the binding affinities of andrographolide and its derivative 14-deoxy-11,12-didehydroandrographolide with 3 major targets of COVID-19 i.e. 3CLpro, PLpro and spike protein followed by their gene-set enrichment analysis with special reference to immune modulation.Materials and methods: SMILES of the compounds were retrieved from DigepPred database and the proteins identified were queried in STRING to evaluate the protein-protein interaction and modulated pathways were identified concerning the KEGG database. Drug-likeness and ADMET profiles were evaluated using MolSoft and admet SAR 2.0, respectively. Molecular docking was carried using autodock 4.0.Results: Andrographolide and 14-Deoxy-11,12-didehydroandrographolide were predicted to have a high binding affinity with papain-like protease i.e. -6.7 kcal/mol and -6.5 kcal/mol, respectively while they interact with equal binding energies with 3clpro (-6.8 kcal/mol) and spike protein (-6.9 kcal/mol). Network pharmacology analysis revealed that both compounds modulated the immune system through the regulation of chemokine signaling pathway, Rap1 signaling pathway, Cytokine-cytokine receptor interaction, MAPK signaling pathway, NF-kappa B signaling pathway, Rassignaling pathway, p53 signaling pathway, HIF-1 signaling pathway, and Natural killer cell-mediated cytotoxicity. Although the 14-deoxy-11,12-didehydroandrographolide scored higher drug-likeness character, it showed less potency to interaction with targeted proteins of COVID-19.Conclusion: The study suggests the strong interaction of the andrographolide and its derivative 14-deoxy-11,12-didehydroandrographolide against target proteins associated with COVID-19. Further, network pharmacology analysis elucidated the different pathways of immunomodulation. However, clinical research should be conducted to confirm the current findings.

scholarly journals eIF6 Promotes the Malignant Progression of Human Hepatocellular Carcinoma via the mTOR Signaling Pathway

2020 ◽  
Author(s):  
Liping Sun ◽  
Shuguang Liu ◽  
Xiaopai Wang ◽  
Xuefeng Zheng ◽  
Ya Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Signaling Pathway ◽  
Prognostic Value ◽  
Molecular Mechanisms ◽  
Protein Translation ◽  
Translation Initiation Factor ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Initiation Factor ◽  
Hcc Cells

Abstract Background Eukaryotic translation initiation factor 6 (eIF6) has a crucial function in the maturation of 60S ribosomal subunits, and it controls the initiation of protein translation. Although emerging studies indicate that eIF6 is aberrantly expressed in various types of cancers, the functions and underlying molecular mechanisms of eIF6 in the pathological progression of hepatocellular carcinoma (HCC) remain unclear. This study aimed to evaluate the potential diagnostic and prognostic value of eIF6 in patients with HCC. Methods HCC samples enrolled from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and our cohort were used to explore the role and mechanism of eIF6 in HCC. The diagnostic power of eIF6 was verified by receiver operating characteristic curve (ROC) analysis and its prognostic value was assessed by Kaplan-Meier analysis, and then related biological functions of eIF6 were determined in vitro and in vivo cancer models. In addition, potential molecular mechanism of eIF6 in HCC was unveiled by the gene set enrichment analysis and western blot assay. Results We demonstrated that eIF6 expression was markedly increased in HCC, and elevated eIF6 expression correlated with pathological progression of HCC. Besides, eIF6 served as not only a new diagnostic biomarker but also an independent risk factor for OS in HCC patients. Functional studies indicated that the deletion of eIF6 displayed tumor-suppressor activity in HCC cells. Furthermore, we found that eIF6 could activate the mTOR-related signaling pathway and regulate the expression level of its target genes, such as CCND1, CDK4, CDK6, MYC, CASP3 and CTNNBL1, and these activities promoted proliferation and invasion of HCC cells. Conclusions The findings of this study provided a novel basis for understanding the potential role of eIF6 in promoting tumor growth and invasion, and exploited a promising strategy for improving diagnosis and prognosis of HCC.

scholarly journals Identification of Key Genes and Pathways Associated with Mast Cells Resting in Meningioma

2020 ◽  
Author(s):  
Hui Xie ◽  
Xiao-hui Ding ◽  
Ce Yuan ◽  
Jin-jiang Li ◽  
Zhao-yang Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mast Cells ◽  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Immune Cell ◽  
Risk Model ◽  
Kegg Pathway ◽  
Expression Profiles ◽  
Receptor Interaction ◽  
Key Genes

Abstract Background: To identify candidate key genes and pathways related to mast cells resting in meningioma and the underlying molecular mechanisms of meningioma.Methods: Gene expression profiles of GSE43290 and GSE16581 datasets were obtained from the Gene Expression Omnibus (GEO) database. GO and KEGG pathway enrichments of DEGs were analyzed using the ClusterProfiler package in R. The protein-protein interaction network (PPI), and TF-miRNA- mRNA co-expression networks were constructed. Further, the difference in immune infiltration was investigated using the CIBERSORT algorithm.Results: A total of 1499 DEGs were identified between tumor and normal controls. The analysis of the immune cell infiltration landscape showed that the probability of distribution of memory B cells, regulatory T cells (Tregs), and resting mast cells in tumor samples were significantly higher than those in the controls. Moreover, through WGCNA analysis, the module related to mast cells resting contained 158 DEGs, and KEGG pathway analysis revealed that the DEGs were dominant in the TNF signaling pathway, cytokine-cytokine receptor interaction, and IL-17 signaling pathway. Survival analysis of hub genes related to mast cells resting showed that the risk model was constructed based on 9 key genes. The TF-miRNA- mRNA co-regulation network, including MYC-miR-145-5p, TNFAIP3-miR-29c-3p, and TNFAIP3-hsa-miR-335-3p, were obtained. Further, 36 nodes and 197 interactions in the PPI network were identified. Conclusions: The results of this study revealed candidate key genes, miRNAs, and pathways related to mast cells resting involved in meningioma development, providing potential therapeutic targets for meningioma treatment.

scholarly journals Analysis of Transcriptomic Changes in Bovine Endometrial Stromal Cells Treated With Lipopolysaccharide

2020 ◽  
Vol 7 ◽  
Author(s):  
Xuefen Ding ◽  
Haimiao Lv ◽  
Lixin Deng ◽  
Wenju Hu ◽  
Zhan Peng ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Stromal Cells ◽  
Cell Activation ◽  
Molecular Mechanisms ◽  
Interleukin 1 ◽  
Interleukin 12 ◽  
Receptor Interaction ◽  
Control Group ◽  
Toll Like Receptor ◽  
Endometrial Stromal Cells

Endometritis adversely affects the ability of cattle to reproduce and significantly reduces milk production. The is mainly composed of epithelial and stromal cells, and they produce the first immune response to invading pathogens. However, most of the epithelial cells are disrupted, and stromal cells are exposed to an inflammatory environment when endometritis occurs, especially postpartum. Many bacteria and toxins start attacking stromal cell due to loss of epithelium, which stimulates Toll-like receptor (TLRs) on stromal cells and causes upregulated expression of cytokines. Understanding the genome-wide characterization of bovine endometritis will be beneficial for prevention and treatment of endometritis. In this study, whole-transcriptomic gene changes in bovine endometrial stromal cells (BESCs) treated with LPS were compared with those treated with PBS (control group) and were analyzed by RNA sequencing. Compared with the control group, a total of 366 differentially expressed genes (DEGs) were identified in the LPS-induced group (234 upregulated and 132 downregulated genes), with an adjusted P < 0.05 by DESeq. Gene Ontology (GO) enrichment analysis revealed that DEGs were most enriched in interleukin-1 receptor binding, regulation of cell activation, and lymphocyte-activated interleukin-12 production. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed DEGs were most enriched in the TNF signaling pathway, Toll-like receptor signaling pathway, cytokine–cytokine receptor interaction, NF-κB signaling pathway, and chemokine signaling pathway. The results of this study unraveled BESCs affected with LPS transcriptome profile alterations, which may have a significant effect on treatment inflammation by comprehending molecular mechanisms and authenticating unique genes related to endometritis.

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