Herwanto Velma, Tang Benjamin, Wang Ya, Shojaei Maryam, Nalos Marek, Shetty Amith, Lai Kevin, McLean Anthony S, Schughart Klaus
Department of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Centre for Immunology and Allergy Research, The Westmead Institute for Medical Research, Sydney, Australia.
BMC Res Notes. 2021 Feb 27;14(1):76. doi: 10.1186/s13104-021-05488-w.
Hospitalized patients who presented within the last 24 h with a bacterial infection were recruited. Participants were assigned into sepsis and uncomplicated infection groups. In addition, healthy volunteers were recruited as controls. RNA was prepared from whole blood, depleted from beta-globin mRNA and sequenced. This dataset represents a highly valuable resource to better understand the biology of sepsis and to identify biomarkers for severe sepsis in humans.
The data presented here consists of raw and processed transcriptome data obtained by next generation RNA sequencing from 105 peripheral blood samples from patients with uncomplicated infections, patients who developed sepsis, septic shock patients, and healthy controls. It is provided as raw sequenced reads and as normalized log transformed relative expression levels. This data will allow performing detailed analyses of gene expression changes between uncomplicated infections and sepsis patients, such as identification of differentially expressed genes, co-regulated modules as well as pathway activation studies.
招募在过去24小时内出现细菌感染的住院患者。参与者被分为脓毒症组和非复杂性感染组。此外，招募健康志愿者作为对照组。从全血中提取RNA，去除β-珠蛋白mRNA后进行测序。该数据集是一个非常有价值的资源，有助于更好地了解脓毒症的生物学特性，并识别人类严重脓毒症的生物标志物。
这里呈现的数据包括通过下一代RNA测序从105份外周血样本获得的原始和处理后的转录组数据，这些样本来自非复杂性感染患者、发生脓毒症的患者、感染性休克患者和健康对照。数据以原始测序读数和标准化对数转换后的相对表达水平形式提供。这些数据将允许对非复杂性感染患者和脓毒症患者之间的基因表达变化进行详细分析，例如鉴定差异表达基因、共调控模块以及通路激活研究。
