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

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE217700
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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. LncRNA and mRNA profiles of 4 sepsis patients whole blood samples and 4 healthy controls whole blood samples
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2024-04-11
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