Gene Expression Nebulas
基于标准化流程分析的转录图谱综合数据库

Gene Expression Nebulas

多物种转录图谱整合数据库

PRJNA718349: Whole blood transciptome analysis in severe Covid-19 patients and healthy donors

来源: NCBI / GSE171110
提交时间: Mar 29 2021
释放时间: May 27 2021
最后更新时间: Sep 06 2021

概要: The identification of COVID-19 patients with high-risk of severe disease is a challenge in routine care. We performed blood RNA-seq gene expression analyses in severe hospitalized patients compared to healthy donors. Supervised and unsupervised analyses revealed a high abundance of CD177, a specific neutrophil activation marker, contributing to the clustering of severe patients. Gene abundance correlated with high serum levels of CD177 in severe patients. These results highlight neutrophil activation as a hallmark of severe disease and CD177 assessment as a reliable prognostic marker for routine care.

项目整体设计: Analysis of whole-blood gene expression profiles of 44 covid-19 patients and 10 Healthy donnors

GEN 数据集:
GEND000461
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提取方案: Total RNA was purified from whole blood with the Tempus™ Spin RNA Isolation Kit (Invitrogen) and globine mRNA depletion carried out with GLOBINclear™ Kit mRNA libraries were prepared with the Illumina TruSeq® Stranded mRNA kit. Single read of 101 bp sequencing was performed on the Illumina HiSeq 2500 at Vaccine Research Institute genomic Platform
建库方案: -
测序信息
分子类型: total RNA; polyA(+) RNA
库的片段类型: SINGLE
库的链类型: Forward
测序平台: ILLUMINA
测序仪型号: Illumina HiSeq 2500
链特异性: Specific
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数据来源 GEN样本编号 GEN数据集编号 系列编号 项目编号 样本编号 样本名称 生物样本编号 样本访问号 实验访问号 释放时间 提交时间 最后更新时间 物种 种族 族裔 年龄 年龄单位 性别 来源名称 组织 细胞类型 细胞亚型 细胞系 疾病 疾病状态 发育阶段 突变/变异 表型 Condition Detail 生长方案 处理方案 提取方案 建库方案 分子类型 库的片段类型 链特异性 库的链类型 加标(Spike-In) 测序方法 测序平台 测序仪型号 细胞数 测序片段数 碱基数 平均测序片段长度_1 平均测序片段长度_2 唯一比对率 多重比对率 覆盖度
文章
Cutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19.
Journal of immunology (Baltimore, Md. : 1950) . 2021-05-28 [PMID: 34049971]
CD177, a specific marker of neutrophil activation, is associated with coronavirus disease 2019 severity and death.
iScience . 2021-06-10 [PMID: 34127958]