Department of Genetics Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Department of Cell, Developmental and Integrative Biology Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Retrovirology. 2024 Nov 4;21(1):17. doi: 10.1186/s12977-024-00652-z.
Since previous studies have suggested that the RNAs of human endogenous retrovirus (HERV) might be involved in regulating innate immunity, it is important to investigate the HERV transcriptome patterns in innate immune cell types such as CD14 + monocytes. Using single cell RNA-seq datasets from resting or stimulated PBMCs mapped to 3,220 known discrete autonomous proviral HERV loci, we found individual-specific variation in HERV transcriptomes between HERV loci in CD14 + monocytes. Analysis of paired datasets from the same individual that were cultured in vitro with LPS or without (i.e. control) revealed 36 HERV loci in CD14 + monocytes that were detected only after activation. To extend our analysis to in vivo activated CD14 + monocytes, we used two scRNA-seq datasets from studies that had demonstrated activation of circulating CD14 + monocytes in patients with physical trauma or patients hospitalized with COVID-19 infections. For direct comparison between the trauma and COVID-19 datasets, we first analyzed 1.625 billion sequence reads from a composite pangenome control of 21 normal individuals. Comparison of the sequence read depth of HERV loci in the trauma or COVID-19 samples to the pangenome control revealed that 39 loci in the COVID-19 and 11 HERV loci in the trauma samples were significantly different (Mann-Whitney U test), with 9 HERV loci shared between the COVID-19 and trauma datasets. The capacity to compare HERV loci transcriptome patterns in innate immune cells, like CD14 + monocytes, across different pathological conditions will lead to greater understanding of the physiological role of HERV expression in health and disease.
由于先前的研究表明,人类内源性逆转录病毒 (HERV) 的 RNA 可能参与调节先天免疫,因此研究先天免疫细胞类型(如 CD14+单核细胞)中的 HERV 转录组模式非常重要。我们使用静息或刺激的 PBMC 的单细胞 RNA-seq 数据集,这些数据集映射到 3220 个已知的离散自主原病毒 HERV 基因座,在 CD14+单核细胞中发现了 HERV 基因座之间个体特异性的 HERV 转录组变化。对来自同一个体的配对数据集的分析表明,在体外用 LPS 或不用 LPS(即对照)培养时,在 CD14+单核细胞中仅检测到 36 个 HERV 基因座。为了将我们的分析扩展到体内激活的 CD14+单核细胞,我们使用了两项来自研究的 scRNA-seq 数据集,这些研究表明在物理创伤患者或 COVID-19 感染住院患者中循环 CD14+单核细胞被激活。为了在创伤和 COVID-19 数据集之间进行直接比较,我们首先分析了来自 21 个正常个体的复合泛基因组对照的 16.25 亿个序列读数。将创伤或 COVID-19 样本中 HERV 基因座的序列读数深度与泛基因组对照进行比较,发现 COVID-19 样本中的 39 个基因座和创伤样本中的 11 个 HERV 基因座有显著差异(Mann-Whitney U 检验),COVID-19 和创伤数据集之间有 9 个 HERV 基因座。比较不同病理条件下先天免疫细胞(如 CD14+单核细胞)中的 HERV 基因座转录组模式的能力将有助于更好地理解 HERV 表达在健康和疾病中的生理作用。