Results 111 to 120 of about 2,288,692 (305)
Identification of Five NK Cell-Related Hub Genes in COPD Using Single-Cell RNA Sequencing Analysis [PDF]
Xiaojie Deng,1,* Xiahui Yang,1,* Zhihua Gan,2 Huaxing Huang,1 Jun Yang1 1Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, People’s Republic of China ...
Yang X, Yang J, Huang H, Gan Z, Deng X
core
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Exploring protein profiles and hub genes in ameloblastoma
Ameloblastoma (AM) is a prominent benign odontogenic tumor characterized by aggressiveness, likely originating from tooth-generating tissue or the dental follicle (DF). However, proteomic distinctions between AM and DF remain unclear. In the present study, the aim was to identify the distinction between AM and DF in terms of their proteome and to ...
Sanguansin, Sirima +5 more
openaire +2 more sources
A minimal cellulosome‐like system in Cellulosilyticum lentocellum
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan +2 more
wiley +1 more source
Decoupling chromatin hubs from gene control
D.G.L. is supported by the European Research Council (grant no. 101045439, 3D-REVOLUTION) and the Spanish “Agencia Estatal de Investigación” (grant no. PID2022-143253NB-I00/ AEI/10.13039/501100011033/ FEDER, UE). Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of ...
openaire +3 more sources
Identification of Hub Genes and Immune Infiltration in Coronary Artery Disease: A Risk Prediction Model [PDF]
Wenchao Xie,1,* Wang Liao,1,* Hongming Lin,2 Guanglin He,2 Zhaohai Li,2 Lang Li1 1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China; 2Department of Cardiology, The ...
Xie W, Li Z, He G, Liao W, Lin H, Li L
core
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Identification of hub genes and pathways in glioblastoma by bioinformatics analysis
Glioblastoma (GBM) is the most common type of malignant brain tumor, and is associated with poor patient prognosis. A comprehensive understanding of the molecular mechanism underlying GBM may help to guide the identification of novel diagnoses and treatment targets.
Yang, Shoubo, Gao, Kaidi, Li, Wenbin
openaire +3 more sources
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source

