表6:利用自噬和代谢相关基因开发急性呼吸窘迫综合征的基因组表型和免疫表型

ARDS研究表6:基于自噬/代谢相关基因和免疫浸润识别基因组表型与免疫表型,含相关表格结果。

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表格autophagymetabolismgenomic phenotypeimmunophenotypeARDS
Table 6: Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes

基本信息

模态
表格
大小
0.000015986 GB
许可
CC BY 4.0
创建/更新时间
2026-10-10
版本
v1

资源简介

表6:利用自噬和代谢相关基因开发急性呼吸窘迫综合征的基因组表型和免疫表型

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 15.99 KB,主题涵盖 autophagy、metabolism、genomic phenotype、immunophenotype、ARDS,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_6_Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes.docx》。配套论文《Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries》发表于 JAMA(2016),DOI:10.1001/jama.2016.0291。源站首次发布:2023-10-23。

【数据内容】

源站原始描述:BackgroundDistinguishing ARDS phenotypes is of great importance for its precise treatment. In the study, we attempted to ascertain its phenotypes based on metabolic and autophagy-related genes and infiltrated immune cells. MethodsTranscription datasets of ARDS patients were obtained from Gene expression omnibus (GEO), autophagy and metabolic-related genes were from the Human Autophagy Database and the GeneCards Database, respectively. Autophagy and metabolism-related differentially expressed gen…

【数据结构与技术规格】

文件数 1 个,合计 15.99 KB。Table_6_Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes.docx:undefined,15.99 KB。数据集 DOI:10.3389/fimmu.2023.1209959.s007。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:autophagy、metabolism、genomic phenotype、immunophenotype、ARDS。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_6_Development_of_genomic_phenotype_and_immunophenotype_of_acute_respiratory_distress_syndrome_using_autophagy_and_metabolism-related_genes_docx/24419410

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Xia, Feiping; Chen, Hui; Liu, Yigao; Huang, Lili; Meng, Shanshan; Xu, Jingyuan; et al. (2023). Table_6_Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes.docx. Frontiers. Dataset

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curl -L -o "Table_6_Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes.docx" "https://ndownloader.figshare.com/files/42858145"

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  • Table_6_Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes.docx(15.99 KB)

文件总体积 15.99 KB(源站 API 实测)。

数据说明

BackgroundDistinguishing ARDS phenotypes is of great importance for its precise treatment. In the study, we attempted to ascertain its phenotypes based on metabolic and autophagy-related genes and infiltrated immune cells.
MethodsTranscription datasets of ARDS patients were obtained from Gene expression omnibus (GEO), autophagy and metabolic-related genes were from the Human Autophagy Database and the GeneCards Database, respectively. Autophagy and metabolism-related differentially expressed genes (AMRDEGs) were further identified by machine learning and processed for constructing the nomogram and the risk prediction model. Functional enrichment analyses of differentially expressed genes were performed between high- and low-risk groups. According to the protein-protein interaction network, these hub genes closely linked to increased risk of ARDS were identified with CytoHubba. ssGSEA and CIBERSORT was applied to analyze the infiltration pattern of immune cells in ARDS. Afterwards, immunologically characterized and molecular phenotypes were constructed according to infiltrated immune cells and hub genes.
ResultsA total of 26 AMRDEGs were obtained, and CTSB and EEF2 were identified as crucial AMRDEGs. The predictive capability of the risk score, calculated based on the expression levels of CTSB and EEF2, was robust for ARDS in both the discovery cohort (AUC = 1) and the validation cohort (AUC = 0.826). The mean risk score was determined to be 2.231332, and based on this score, patients were classified into high-risk and low-risk groups. 371 differential genes in high- and low-risk groups were analyzed. ITGAM, TYROBP, ITGB2, SPI1, PLEK, FGR, MPO, S100A12, HCK, and MYC were identified as hub genes. A total of 12 infiltrated immune cells were differentially expressed and have correlations with hub genes. According to hub genes and implanted immune cells, ARDS patients were divided into two different molecular phenotypes (Group 1: n = 38; Group 2: n = 19) and two immune phenotypes (Cluster1: n = 22; Cluster2: n = 35), respectively.
ConclusionThis study picked up hub genes of ARDS related to autophagy and metabolism and clustered ARDS patients into different molecular

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2023.1209959.s007(source: https://frontiersin.figshare.com/articles/dataset/Table_6_Development_of_genomic_phenotype_and_immunophenotype_of_acute_respiratory_distress_syndrome_using_autophagy_and_metabolism-related_genes_docx/24419410)。

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