Exploring Transcriptomic Landscapes in Red Blood Cells, in Their Extracellular Vesicles and on a Single-Cell Level

Int J Mol Sci. 2022 Oct 25;23(21):12897. doi: 10.3390/ijms232112897.

Abstract

Being enucleated, RBCs lack typical transcriptomes, but are known to contain small amounts of diverse long transcripts and microRNAs. However, the exact role and importance of these RNAs are lacking. Shedding of extracellular vesicles (EVs) from the plasma membrane constitutes an integral mechanism of RBC homeostasis, by which RBCs remove unnecessary cytoplasmic content and cell membrane. To study this further, we explored the transcriptomes of RBCs and extracellular vesicles (EVs) of RBCs using next-generation sequencing. Furthermore, we performed single-cell RNA sequencing on RBCs, which revealed that approximately 10% of the cells contained detectable levels of mRNA and cells formed three subpopulations based on their transcriptomes. A decrease in the mRNA quantity was observed across the populations. Qualitative changes included the differences in the globin transcripts and changes in the expression of ribosomal genes. A specific splice form of a long non-coding RNA, Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), was the most enriched marker in one subpopulation of RBCs, co-expressing with ribosomal structural transcripts. MALAT1 expression was confirmed by qPCR in CD71-enriched reticulocytes, which were also characterized with imaging flow cytometry at the single cell level. Analysis of the RBC transcriptome shows enrichment of pathways and functional categories required for the maturation of reticulocytes and erythrocyte functions. The RBC transcriptome was detected in their EVs, making these transcripts available for intercellular communication in blood.

Keywords: MALAT1; RNA sequencing; erythrocyte; extracellular vesicle; transcriptomics.

MeSH terms

  • Erythrocytes / metabolism
  • Extracellular Vesicles* / genetics
  • Extracellular Vesicles* / metabolism
  • RNA, Long Noncoding* / metabolism
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Transcriptome

Substances

  • RNA, Long Noncoding
  • RNA, Messenger

Grants and funding

This study was supported by the Finnish Funding Agency for Innovation (TEKES) as part of the SalWe research program Personalized Diagnostics and Care (GET IT DONE, grant No. 3986/31/2013). TEKES became Business Finland in 2018. Open access funding provided by University of Helsinki.