Cargando…
Identification of autophagy-related genes and immune cell infiltration characteristics in sepsis via bioinformatic analysis
BACKGROUND: Sepsis is a life-threatening disease with a high mortality in the intensive care unit (ICU), and autophagy plays an essential role in the development of sepsis. The purpose of this study was to identify potential autophagy-related genes in sepsis and their relationship with immune cell i...
Autores principales: | Di, Chong, Du, Yingying, Zhang, Renlingzi, Zhang, Lei, Wang, Sheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183527/ https://www.ncbi.nlm.nih.gov/pubmed/37197531 http://dx.doi.org/10.21037/jtd-23-312 |
Ejemplares similares
-
Identification of iron metabolism-related genes in the circulation and myocardium of patients with sepsis via applied bioinformatics analysis
por: Zhang, Renlingzi, et al.
Publicado: (2023) -
Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration
por: Jiang, Zhou, et al.
Publicado: (2023) -
Identification of key genes related to immune infiltration in cirrhosis via bioinformatics analysis
por: Du, Tong-Yue, et al.
Publicado: (2023) -
Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration
por: Sun, Mengfei, et al.
Publicado: (2022) -
Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis via machine learning
por: She, Han, et al.
Publicado: (2023)