Analysis of Immune and Prognostic-Related lncRNA PRKCQ-AS1 for Predicting Prognosis and Regulating Effect in Sepsis

Sepsis is a common systemic inflammatory response syndrome caused by infection. It has high mortality and great harm. Long non-coding RNA (lncRNA) has been reported to play a regulatory role in a variety of diseases and is a potential prognostic marker and therapeutic target. However, there are few data on the regulatory effect of lncRNA on sepsis. Therefore, we used transcriptome sequencing and series methods to screen and analyze lncRNAs with potential for prognostic markers in sepsis.we collected 4 sepsis patients whole blood samples and 4 healthy controls whole blood samples for transcriptome sequencing. After quality filtering of the raw sequencing data, we obtained a total of 125.581 Gb Clean Data, the average data amount of each sample was 15.698 Gb, the percentage of Q30 bases was over 93.89%, and the GC content was between 47.53% and 57.54%. Subsequently, we used HISAT2 to align the Clean Data of each sample with the human GRCH38 genome, and the alignment rate was between 96.355% and 97.986%. Through statistics, we found that the obtained lncRNAs were divided into 10 types (figure 1A), among which antisense (36.05%) and lincRNA (33.76%) were the main types. Overall design: LncRNA and mRNA profiles of 4 sepsis patients whole blood samples and 4 healthy controls whole blood samples

脓毒症（Sepsis）是一类由感染引发的常见全身性炎症反应综合征，具有极高的致死率与严重危害性。长链非编码RNA（long non-coding RNA，lncRNA）已有研究证实可在多种疾病中发挥调控作用，是极具潜力的预后标志物与治疗靶点。但目前关于lncRNA对脓毒症的调控效应的相关数据仍较为匮乏。因此，本研究采用转录组测序及系列分析手段，筛选并分析了具备脓毒症预后标志物潜力的lncRNA。本研究收集了4例脓毒症患者及4例健康对照者的全血样本进行转录组测序。对原始测序数据进行质量过滤后，共获得125.581 Gb清洁数据（Clean Data），单样本平均数据量为15.698 Gb，Q30碱基占比超93.89%，GC含量介于47.53%至57.54%之间。随后，本研究使用HISAT2工具将各样本的清洁数据与人类GRCH38基因组进行比对，比对率介于96.355%至97.986%之间。经统计分析发现，所获得的lncRNA可分为10个类别（图1A），其中反义RNA（antisense，36.05%）与基因间长链非编码RNA（lincRNA，33.76%）为主要类别。整体实验设计：4例脓毒症患者与4例健康对照者的全血样本的lncRNA及mRNA表达谱