Cargando…
Integrated analysis of multi-omics data reveals T cell exhaustion in sepsis
BACKGROUND: Sepsis is a heterogeneous disease, therefore the single-gene-based biomarker is not sufficient to fully understand the disease. Higher-level biomarkers need to be explored to identify important pathways related to sepsis and evaluate their clinical significance. METHODS: Gene Set Enrichm...
Autores principales: | Li, Qiaoke, Sun, Mingze, Zhou, Qi, Li, Yulong, Xu, Jinmei, Fan, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108839/ https://www.ncbi.nlm.nih.gov/pubmed/37077915 http://dx.doi.org/10.3389/fimmu.2023.1110070 |
Ejemplares similares
-
Integrative Multi-Omics Reveals Serum Markers of Tuberculosis in Advanced HIV
por: Krishnan, Sonya, et al.
Publicado: (2021) -
Integrated multi-omics reveals novel microbe-host lipid metabolism and immune interactions in the donkey hindgut
por: Li, Yan, et al.
Publicado: (2022) -
Integrated multi-omics analyses reveal the altered transcriptomic characteristics of pulmonary macrophages in immunocompromised hosts with Pneumocystis pneumonia
por: Wang, Yawen, et al.
Publicado: (2023) -
Multi-omics analysis reveals the effects of microbiota on oral homeostasis
por: Long, Huiqing, et al.
Publicado: (2022) -
Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia
por: Fan, Yajuan, et al.
Publicado: (2022)