Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma

2018 ◽  
Vol 25 (9-10) ◽  
pp. 227-239 ◽  
Author(s):  
Jun Yang ◽  
Ziming Hou ◽  
Changjiang Wang ◽  
Hao Wang ◽  
Hongbing Zhang
Keyword(s):  
Gene Expression ◽  
Early Diagnosis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Diagnosis And Treatment ◽  
Key Genes ◽  
Adamantinomatous Craniopharyngioma

Early diagnosis of breast cancer by gene expression profiles

2016 ◽  
Vol 20 (2) ◽  
pp. 567-578 ◽  
Author(s):  
Hanaa Salem ◽  
Gamal Attiya ◽  
Nawal El-Fishawy
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Early Diagnosis ◽  
Expression Profiles ◽  
Gene Expression Profiles

scholarly journals Identification of key genes and pathways of BMP-9-induced osteogenic differentiation of mesenchymal stem cells by integrated bioinformatics analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jia-qi Wu ◽  
Lin-bo Mao ◽  
Ling-feng Liu ◽  
Yong-mei Li ◽  
Jian Wu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Osteogenic Differentiation ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Pathway Enrichment ◽  
Key Genes

Abstract Background The purpose of present study was to identify the differentially expressed genes (DEGs) associated with BMP-9-induced osteogenic differentiation of mesenchymal stem cells (MSCs) by using bioinformatics methods. Methods Gene expression profiles of BMP-9-induced MSCs were compared between with GFP-induced MSCs and BMP-9-induced MSCs. GSE48882 containing two groups of gene expression profiles, 3 GFP-induced MSC samples and 3 from BMP-9-induced MSCs, was downloaded from the Gene Expression Omnibus (GEO) database. Then, DEGs were clustered based on functions and signaling pathways with significant enrichment analysis. Pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated that the identified DEGs were potentially involved in cytoplasm, nucleus, and extracellular exosome signaling pathway. Results A total of 1967 DEGs (1029 upregulated and 938 downregulated) were identified from GSE48882 datasets. R/Bioconductor package limma was used to identify the DEGs. Further analysis revealed that there were 35 common DEGs observed between the samples. GO function and KEGG pathway enrichment analysis, among which endoplasmic reticulum, protein export, RNA transport, and apoptosis was the most significant dysregulated pathway. The result of protein-protein interaction (PPI) network modules demonstrated that the Hspa5, P4hb, Sec61a1, Smarca2, Pdia3, Dnajc3, Hyou1, Smad7, Derl1, and Surf4 were the high-degree hub nodes. Conclusion Taken above, using integrated bioinformatical analysis, we have identified DEGs candidate genes and pathways in BMP-9 induced MSCs, which could improve our understanding of the key genes and pathways for BMP-9-induced osteogenic of MSCs.

scholarly journals A Study on Effect of Electroacupuncture on Gene Expression in Hypothalamus of Rats with Stress-Induced Prehypertension Based on Gene Chip Technology

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaojia Xie ◽  
Yan Guo ◽  
Qingguo Liu ◽  
Zhaoyang Wang ◽  
Changqing Guo
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Signal Transduction Pathway ◽  
Gene Expression Profiles ◽  
Gene Chip ◽  
Model Group ◽  
Blank Group ◽  
Chip Technology ◽  
Key Genes ◽  
Model Preparation

Objective. To explore the effect of electroacupuncture (EA) on gene expression in the hypothalamus of rats with stress-induced prehypertension and try to reveal its biological mechanism with gene chip technology.Methods. The stress-induced hypertensive rat model was prepared by combining electric foot-shocks with generated noise. Molding cycle lasted for 14 days and EA intervention was applied on model + EA group during model preparation. Rat Gene 2.0 Array technology was used for the determination of gene expression profiles and the screened key genes were verified by real-time fluorescence quantitative PCR method.Results. Compared with the blank group, 234 genes were upregulated and 73 were downregulated in the model group. Compared with the model group, 110 genes were upregulated and 273 genes were downregulated in model + EA group. The PCR results of the key genes including HSPB1, P2RX4, PPP1R14A, and TH are consistent with that of gene chip test.Conclusion. EA could significantly lower blood pressure of stress-induced prehypertension rats and affect its gene expression profile in hypothalamus. Genes and their signal transduction pathway that related to the contraction of vascular smooth muscle, concentration of Ca2+, and excitability of sympathetic nerve may be involved in EA’s antihypertensive mechanism.

scholarly journals Acute Pancreatitis-Associated Genes Identified by Integrative Analysis of Gene Expression Data

2021 ◽  
Author(s):  
Chunyan Zeng ◽  
Yin Zhu ◽  
Youxiang Chen
Keyword(s):  
Gene Expression ◽  
Acute Pancreatitis ◽  
Expression Profiles ◽  
Adherens Junction ◽  
Gene Expression Profiles ◽  
Gene Expression Omnibus ◽  
Diagnosis And Treatment ◽  
Expression Data ◽  
Protein Protein Interaction ◽  
And Control

Abstract Background Acute pancreatitis (AP) is a common digestive disease. A better understanding of the biology and molecular pathogenesis of AP may provide the basis for the prevention and therapy of AP.Methods The gene expression datasets GSE109227, GSE3644 and GSE65146, which included gene expression profiles of pancreas samples from AP and control mice, were obtained from the Gene Expression Omnibus database. All differentially expressed genes (DEGs) were identified using GEO2R and annotated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Results Thirty-eight DEGs were found to overlap among the three datasets. A protein-protein interaction (PPI) network was constructed; hub proteins were identified; and functional modules were extracted. Three genes (Cdh1, Iqgap1 and Actn4), which are involved in the adherens junction pathway, were identified using PPI analysis and may provide potential biomarkers for the diagnosis and treatment of AP.Conclusions We will further study the effects of the Cdh1, Iqgap1 and Actn4 genes on the occurrence and development of acute pancreatitis, which may provide new targets for the diagnosis and treatment of AP.

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