Results 251 to 260 of about 212,786 (294)

Pre‐Regenerative Endothelial Cells Empowered by Antler Blood Exosomes Orchestrate Peripheral Nerve Repair

open access: yesAdvanced Science, EarlyView.
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang   +11 more
wiley   +1 more source

Identifying novel biomarkers in hepatocellular carcinoma by weighted gene co-expression network analysis

Journal of Cellular Biochemistry, 2019
Hepatocellular carcinoma (HCC) is a highly malignant tumor found in the bile duct epithelial cells, and the second most common tumor of the liver. However, the pivotal roles of most molecules of tumorigenesis in HCC are still unclear.
Xin-An Wu, Ke Pu
exaly   +4 more sources

A General Framework for Weighted Gene Co-Expression Network Analysis

Statistical Applications in Genetics and Molecular Biology, 2005
Gene co-expression networks are increasingly used to explore the system-level functionality of genes. The network construction is conceptually straightforward: nodes represent genes and nodes are connected if the corresponding genes are significantly co-expressed across appropriately chosen tissue samples.
Bin Zhang, Steve Horvath
semanticscholar   +3 more sources

Identification of Key Gene Modules in Human Osteosarcoma by Co‐Expression Analysis Weighted Gene Co‐Expression Network Analysis (WGCNA)

Journal of Cellular Biochemistry, 2017
ABSTRACTOsteosarcoma is the eighth‐most common form of childhood cancer, comprising about 20% of all primary bone cancers. To date, systemic co‐expression analysis for this cancer is still insufficient to explain the pathogenesis of poorly understood OC.
Xiang-Sheng Liu   +3 more
semanticscholar   +3 more sources

Weighted gene co-expression network analysis for hub genes in colorectal cancer

Pharmacological Reports, 2023
This study is designed to explore hub genes participating in colorectal cancer (CRC) development through weighted gene co-expression network analysis (WGCNA).Expression profiles of CRC and normal samples were retrieved from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA), and were subjected to WGCNA to filter differentially ...
Zheng Xu, Jianing Wang, Guosheng Wang
openaire   +2 more sources

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