The effect of cell isolation methods on the human transcriptome profiling and microbial transcripts of peripheral blood.
Yanru XingXi YangHaixiao ChenSujun ZhuJinjin XuYuan ChenJuan ZengFang ChenMark Richard JohnsonHui JiangWen-Jing WangPublished in: Molecular biology reports (2021)
The expression of human and microbial genes serves as biomarkers for disease and health. Blood RNA is an important biological resource for precision medicine and translational medicine. However, few studies have assessed the human transcriptome profiles and microbial communities composition and diversity of peripheral blood from different cell isolation methods, which could affect the reproducibility of researches. We collected peripheral blood from three healthy donors and processed it immediately. We used RNA sequencing to investigate the effect of three leukocyte isolation methods including buffy coat (BC) extraction, red blood cell (RBC) lysis and peripheral blood mononuclear cell (PBMC) isolation with the comparison with whole blood (WB), through analyzing the sensitivity of gene detection, the whole transcriptome profiling and microbial composition and diversity. Our data showed that BC extraction with high globin mRNA mapping rate had similar transcriptome profiles with WB, while RBC lysis and PBMC isolation depleted RBCs effectively. With the efficient depletion of RBC and distinct compositions of leukocyte subsets, RNA-seq of RBC lysis and PBMC isolation uniquely detected genes from specific cell types, like granulocytes and NK cells. In addition, we observed that the microbial composition and diversity were more affected by individuals than isolation methods. Our results showed that blood cell isolations could largely influence the sensitivity of detection of human genes and transcriptome profile.
Keyphrases
- single cell
- peripheral blood
- rna seq
- genome wide
- endothelial cells
- red blood cell
- microbial community
- cell therapy
- healthcare
- induced pluripotent stem cells
- mental health
- gene expression
- pluripotent stem cells
- poor prognosis
- copy number
- dna methylation
- artificial intelligence
- bone marrow
- electronic health record
- risk assessment
- genome wide analysis