Results 51 to 60 of about 5,790,030 (310)

Uncovering hub genes in sepsis through bioinformatics analysis

Medicine, 2023
In-depth studies on the mechanisms of pathogenesis of sepsis and diagnostic biomarkers in the early stages may be the key to developing individualized and effective treatment strategies.
Zhao Liu, E. Qiu, Bihui Yang, Yiqian Zeng   +3 more
semanticscholar   +1 more source

ComHub: Community predictions of hubs in gene regulatory networks [PDF]

BMC Bioinformatics, 2019
Abstract Summary Hub transcription factors, regulating many target genes in gene regulatory networks (GRNs), play important roles as disease regulators and potential drug targets. However, while numerous methods have been developed to predict individual regulator-gene interactions from gene ...
Åkesson, Julia, Lubovac-Pilav, Zelmina, Magnusson, Rasmus, Gustafsson, Mika   +3 more
openaire   +6 more sources

Text Mining and Hub Gene Network Analysis of Endometriosis [PDF]

BioMed Research International, 2021
This study is aimed at systematically characterizing the endometriosis‐associated genes based on text mining and at annotating the functions, pathways, and networks of endometriosis‐associated hub genes. We extracted endometriosis‐associated abstracts published between 1970 and 2020 from the PubMed database.
Yinuo Wang, Songbiao Zhu, Chengcheng Liu, Haiteng Deng, Zhenyu Zhang   +4 more
openaire   +2 more sources

GWAS and WGCNA uncover hub genes controlling salt tolerance in maize (Zea mays L.) seedlings

Theoretical and Applied Genetics, 2021
Two hub genesGRMZM2G075104andGRMZM2G333183involved in salt tolerance were identified by GWAS and WGCNA. Furthermore, they were verified to affect salt tolerance by candidate gene association analysis.
Langlang Ma, Minyan Zhang, Jie Chen, Chunyan Qing, Shijiang He, Chaoying Zou, G. Yuan, Cong Yang, Hua-Zheng Peng, G. Pan, T. Lübberstedt, Yaou Shen   +11 more
semanticscholar   +1 more source

Hub Genes, Diagnostic Model, and Predicted Drugs Related to Iron Metabolism in Alzheimer's Disease

Frontiers in Aging Neuroscience, 2022
Alzheimer's disease (AD), the most common neurodegenerative disease, remains unclear in terms of its underlying causative genes and effective therapeutic approaches. Meanwhile, abnormalities in iron metabolism have been demonstrated in patients and mouse
Xuefeng Gu, Donglin Lai, Shuang Liu, Kaijie Chen, Peng Zhang, Bing Chen, Gang Huang, Xiaoqin Cheng, Changlian Lu   +8 more
semanticscholar   +1 more source

Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis

Frontiers in Genetics, 2020
Hepatocellular carcinoma (HCC) remains hard to diagnose early and cure due to a lack of accurate biomarkers and effective treatments. Hence, it is necessary to explore the tumorigenesis and tumor progression of HCC to discover new biomarkers for clinical
Yang Gu, Jun Li, Deliang Guo, Baiyang Chen, Pengpeng Liu, Yusha Xiao, Kang Yang, Zhisu Liu, Quanyan Liu   +8 more
doaj   +1 more source

Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 Infection

Journal of Clinical Medicine, 2021
The coronavirus disease-2019 (COVID-19) pandemic has caused an enormous loss of lives. Various clinical trials of vaccines and drugs are being conducted worldwide; nevertheless, as of today, no effective drug exists for COVID-19.
H. Karami, Afshin Derakhshani, Mohammad Ghasemigol, M. Fereidouni, E. Miri-Moghaddam, B. Baradaran, Neda Jalili Tabrizi, S. Najafi, A. Solimando, L. Marsh, N. Silvestris, S. De Summa, A. Paradiso, V. Racanelli, H. Safarpour   +14 more
semanticscholar   +1 more source

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

Identification and Validation of Autophagy-Related Genes in Primary Ovarian Insufficiency by Gene Expression Profile and Bioinformatic Analysis

Analytical Cellular Pathology, 2022
Background. To investigate the relationship between primary ovarian insufficiency and autophagy, we detected and got the expression profile of human granulosa cell line SVOG, which was with or without LPS induced. The expression profile was analyzed with
Siji Lv, Jiani Sun, Jing Sun
doaj   +1 more source

Identification of the prognostic biomarkers and their correlations with immune infiltration in colorectal cancer through bioinformatics analysis and in vitro experiments

Heliyon, 2023
Colorectal cancer (CRC) is the third most diagnosed malignancy and the second leading cause of cancer death. The objective was to identify novel hub genes that were helpful for prognosis and targeted therapy in CRC. GSE23878, GSE24514, GSE41657, GSE81582
Min Guo, Xiaxi Li, Jiong Li, Baolong Li
doaj   +1 more source