Cargando…

Identification of Hub Genes and Pathways in a Rat Model of Renal Ischemia-Reperfusion Injury Using Bioinformatics Analysis of the Gene Expression Omnibus (GEO) Dataset and Integration of Gene Expression Profiles

BACKGROUND: This study aimed to identify hub genes and pathways in a rat model of renal ischemia-reperfusion injury (IRI) using bioinformatics analysis of the Gene Expression Omnibus (GEO) microarray dataset and integration of gene expression profiles. MATERIAL/METHODS: GEO software and the GEO2R ca...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guo, Ao, Wang, Weitie, Shi, Hongyu, Wang, Jiping, Liu, Tiecheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	International Scientific Literature, Inc. 2019
Materias:	Clinical Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863034/ https://www.ncbi.nlm.nih.gov/pubmed/31699960 http://dx.doi.org/10.12659/MSM.920364

Ejemplares similares

Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI’s Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis
por: Yu-jing, Tan, et al.
Publicado: (2020)

Investigation of molecular biomarker candidates for diagnosis and prognosis of chronic periodontitis by bioinformatics analysis of pooled microarray gene expression datasets in Gene Expression Omnibus (GEO)
por: Suzuki, Asami, et al.
Publicado: (2019)

An in silico analytical study of lung cancer and smokers datasets from gene expression omnibus (GEO) for prediction of differentially expressed genes
por: Hasan, Atif Noorul, et al.
Publicado: (2015)

Restructured GEO: restructuring Gene Expression Omnibus metadata for genome dynamics analysis
por: Chen, Guocai, et al.
Publicado: (2019)

A content-based dataset recommendation system for researchers—a case study on Gene Expression Omnibus (GEO) repository
por: Patra, Braja Gopal, et al.
Publicado: (2020)

Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database
por: Fang, Xiao, et al.
Publicado: (2020)

Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
por: Rasti, Azam, et al.
Publicado: (2023)

Screening key genes for abdominal aortic aneurysm based on gene expression omnibus dataset
por: Wan, Li, et al.
Publicado: (2018)

A comprehensive bioinformatics analysis on multiple Gene Expression Omnibus datasets of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
por: Huang, Shanzhou, et al.
Publicado: (2018)

Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis
por: Zuo, Li, et al.
Publicado: (2021)

Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database
por: Zheng, Long, et al.
Publicado: (2020)

THU271 Identification Of Candidate Biomarkers For Type 1 Diabetes Mellitus By Bioinformatics Analysis Of Pooled Microarray Gene Expression Datasets In Gene Expression Omnibus
por: Feng, Kevin, et al.
Publicado: (2023)

Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis
por: Li, Yaowei, et al.
Publicado: (2019)

Author Correction: A comprehensive bioinformatics analysis on multiple Gene Expression Omnibus datasets of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
por: Huang, Shanzhou, et al.
Publicado: (2019)

Bioinformatics analysis on multiple Gene Expression Omnibus datasets of the hepatitis B virus infection and its response to the interferon-alpha therapy
por: Zhu, Zebin, et al.
Publicado: (2020)

Mining data and metadata from the gene expression omnibus
por: Wang, Zichen, et al.
Publicado: (2018)

Verification of hub genes in the expression profile of aortic dissection
por: Wang, Weitie, et al.
Publicado: (2019)

Identification of candidate genes in ischemic cardiomyopathy by gene expression omnibus database
por: Dang, Haiming, et al.
Publicado: (2020)

Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis
por: Wan, Ying, et al.
Publicado: (2020)

Clinical Value and Prospective Pathway Signaling of MicroRNA-375 in Lung Adenocarcinoma: A Study Based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Bioinformatics Analysis
por: Gan, Ting-qing, et al.
Publicado: (2017)

Analysis of differentially expressed genes in individuals with noninfectious uveitis based on data in the gene expression omnibus database
por: Zhang, Dandan, et al.
Publicado: (2022)

Integration of Gene Expression Profile Data to Verify Hub Genes of Patients with Stanford A Aortic Dissection
por: Wang, Weitie, et al.
Publicado: (2019)

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd
por: Wang, Zichen, et al.
Publicado: (2016)

Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database
por: Lu, Xinxing, et al.
Publicado: (2018)

GEOmetadb: powerful alternative search engine for the Gene Expression Omnibus
por: Zhu, Yuelin, et al.
Publicado: (2008)

Precision annotation of digital samples in NCBI’s gene expression omnibus
por: Hadley, Dexter, et al.
Publicado: (2017)

Preliminary Investigation of the Biomarkers of Acute Renal Transplant Rejection Using Integrated Proteomics Studies, Gene Expression Omnibus Datasets, and RNA Sequencing
por: Han, Shuai, et al.
Publicado: (2022)

Identification of a novel iron zinc finger protein 36 (ZFP36) for predicting the overall survival of osteosarcoma based on the Gene Expression Omnibus (GEO) database
por: Song, Peng, et al.
Publicado: (2021)

ECO: An Integrated Gene Expression Omnibus for Mouse Endothelial Cells In Vivo
por: Deng, Xiangyi, et al.
Publicado: (2022)

Bioinformatics analysis of the prognostic biomarkers and predictive accuracy of differentially expressed genes in high-risk multiple myeloma based on Gene Expression Omnibus database mining
por: Du, Chenxiao, et al.
Publicado: (2022)

Identification of transcription factors MYC and C/EBPβ mediated regulatory networks in heart failure based on gene expression omnibus datasets
por: Wang, Haiwei, et al.
Publicado: (2020)

Analysis of differentially expressed genes related to cerebral ischaemia in young rats based on the Gene Expression Omnibus database
por: Xia, Yu, et al.
Publicado: (2023)

Uncovering potential genes in colorectal cancer based on integrated and DNA methylation analysis in the gene expression omnibus database
por: Wang, Guanglin, et al.
Publicado: (2022)

Expression levels of chemokine (C-X-C motif) ligands CXCL1 and CXCL3 as prognostic biomarkers in rectal adenocarcinoma: evidence from Gene Expression Omnibus (GEO) analyses
por: Lv, Qi-yuan, et al.
Publicado: (2021)

Integration of Gene Expression Profile Data of Human Epicardial Adipose Tissue from Coronary Artery Disease to Verification of Hub Genes and Pathways
por: Wang, Weitie, et al.
Publicado: (2019)

InSilico DB: an online platform to collaboratively structure and export publicly available datasets from the Gene Expression Omnibus database
por: Coletta, A, et al.
Publicado: (2011)

Identification of hub genes associated with acute kidney injury induced by renal ischemia–reperfusion injury in mice
por: He, Sheng, et al.
Publicado: (2022)

Multiple Bioinformatics Analyses of Integrated Gene Expression Profiling Data and Verification of Hub Genes Associated with Diabetic Retinopathy
por: You, Jiaxin, et al.
Publicado: (2020)

Gene microarray analysis of expression profiles in liver ischemia and reperfusion
por: Zheng, Xiaoyang, et al.
Publicado: (2017)

Human methylome variation across Infinium 450K data on the Gene Expression Omnibus
por: Maden, Sean K, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5gp9050f0jo445tcoqgdka2ft6