Results 41 to 50 of about 124,378 (265)

Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis

Frontiers in Genetics, 2022
The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples and 25 normal synovial tissue samples were derived from three datasets, namely, GSE55457, GSE55235, and GSE1919, and were used to identify the ...
Jian Zhou, Dazhi Zou, Rongjun Wan, Rongjun Wan, Jie Liu, Qiong Zhou, Zhen Zhou, Wanchun Wang, Cheng Tao, Tang Liu   +9 more
openaire   +3 more sources

Hub gene associated with prognosis in bladder cancer is a novel therapeutic target [PDF]

PeerJ, 2023
Objective Bladder cancer is a clinical and social conundrum due to its high incidence and recurrence rate. It is urgent to find new targets for the diagnosis and treatment of bladder cancer and improve the prognosis and survival rate of bladder cancer ...
Dengpan Fang, Yuanqiao He, Yun Yi, Jiaqi Mei, Cundong Liu   +4 more
doaj   +2 more sources

Integrative analysis of ferroptosis-related genes in ulcerative colitis

Journal of International Medical Research, 2021
Objective The aim of this study was to identify and validate ferroptosis-related markers in ulcerative colitis (UC) to explore new directions for UC diagnosis and treatment.
De-jun Cui, Chen Chen, Wen-qiang Yuan, Yun-han Yang, Lu Han   +4 more
doaj   +1 more source

Exploration of the hub genes and miRNAs in lung adenocarcinoma

Oncology Letters, 2019
In order to investigate the oncogenic mechanisms of lung adenocarcinoma (LUAD), hub genes can be identified by constructing co-expression networks, and the potential linkages between hub genes, transcription factors (TFs) and microRNAs (miRNAs/miRs) can be visualized and identified.
Zhai, Yuanyuan, Chen, Yingli, Li, Qianzhong, Zhang, Luqiang   +3 more
openaire   +3 more sources

Enhanced construction of gene regulatory networks using hub gene information [PDF]

BMC Bioinformatics, 2017
Gene regulatory networks reveal how genes work together to carry out their biological functions. Reconstructions of gene networks from gene expression data greatly facilitate our understanding of underlying biological mechanisms and provide new opportunities for biomarker and drug discoveries.
Donghyeon Yu, Johan Lim, Xinlei Wang 0001, Faming Liang, Guanghua Xiao   +4 more
openaire   +2 more sources

Hub genes and their key effects on prognosis of Burkitt lymphoma

World Journal of Clinical Oncology, 2023
Burkitt lymphoma (BL) is an exceptionally aggressive malignant neoplasm that arises from either the germinal center or post-germinal center B cells. Patients with BL often present with rapid tumor growth and require high-intensity multi-drug therapy combined with adequate intrathecal chemotherapy prophylaxis, however, a standard treatment program for ...
Xu, Yan-Feng, Wang, Guan-Yun, Zhang, Ming-Yu, Yang, Ji-Gang   +3 more
openaire   +2 more sources

Evidence of Highly Regulated Genes (in-Hubs) in Gene Networks of Saccharomyces Cerevisiae [PDF]

Bioinformatics and Biology Insights, 2008
Uncovering interactions between genes, gene networks, is important to increase our understanding of intrinsic cellular processes and responses to external stimuli such as drugs. Gene networks can be computationally inferred from repeated measurements of gene expression, using algorithms, which assume that each gene is controlled by only a small number ...
Jesper Lundström, Johan Björkegren, Jesper Tegnér   +2 more
openaire   +5 more sources

Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma

Frontiers in Genetics, 2018
Adrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. And currently, there are no specific diagnostic biomarkers for ACC. In our study, we aimed to screen biomarkers for disease diagnosis, progression and prognosis.
Lushun Yuan, Guofeng Qian, Liang Chen, Chin-Lee Wu, Han C. Dan, Yu Xiao, Yu Xiao, Yu Xiao, Xinghuan Wang   +8 more
doaj   +1 more source

Identification of hub genes and regulatory networks in histologically unstable carotid atherosclerotic plaque by bioinformatics analysis

BMC Medical Genomics, 2022
Objective This study identified underlying genetic molecules associated with histologically unstable carotid atherosclerotic plaques through bioinformatics analysis that may be potential biomarkers and therapeutic targets.
Julong Guo, Yachan Ning, Zhixiang Su, Lianrui Guo, Yongquan Gu   +4 more
doaj   +1 more source

Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma

Frontiers in Genetics, 2021
Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence
Zhengze Shen, Shengwei Liu, Jie Liu, Jingdong Liu, Caoyuan Yao   +4 more
doaj   +1 more source