| Literature DB >> 34044888 |
Yujie Kong1,2, Xue Tian1,2, Rui He1,2, Chenyue Li1,2, Haixia Xu1,2, Li Tian3,4, Zhong Liu5,6.
Abstract
BACKGROUND: Transfusion-related immunomodulation (TRIM) can be caused by exosomes, in which case, microRNAs (miRNAs) are one critical factor impacting exosome behavior. This study aims to investigate and analyze the expression profiles of exosomal miRNA in red blood cell (RBC) suspensions during storage and to identify potential TRIM-related miRNAs as well as their potential functions.Entities:
Keywords: Exosome; MicroRNA; Red blood cell (RBC) suspensions; Transfusion-related immunomodulation (TRIM)
Year: 2021 PMID: 34044888 PMCID: PMC8157439 DOI: 10.1186/s12967-021-02887-2
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Fig. 1Characterization of exosomes isolated from RBC suspensions at week 5. a NTA for the particle size distribution of exosomes. b TEM for the morphology of exosomes. Scale bar, 100 nm. c WB identified the specific immunological markers TSG101, CD9 and CD63 of the exosomes
Fig. 2Microarray assay of differential miRNA in exosomes derived from RBC suspensions. a Heatmap of differential miRNA expressed in exosomes stored for week 5 vs. week 1. Each column represents an RBC suspension sample, and each row represents a kind of miRNA. The color describes the expression level of each miRNA in each sample, where red indicates a high level of expression and where green indicates a low level of expression. b Volcano plot shows the distribute expression of differential miRNAs. Different colors correspond to the levels of expression, where red represents significantly differential miRNA (P < 0.05)
List of differential exosomal miRNAs accumulated more than tenfold at week 5 vs. week 1 storage time of RBC suspensions
| miRNA | week 5 log2 mean signal | week 1 log2 mean signal | week 5 vs. week 1 fold change | |
|---|---|---|---|---|
| hsa-miR-6824-5p | 6.3266 | 1.7901 | 23.2080 | 0.0019 |
| hsa-miR-6716-5p | 7.7924 | 3.3319 | 22.0159 | 0.0022 |
| hsa-miR-1246 | 8.4004 | 3.9677 | 21.5962 | 0.0031 |
| hsa-miR-939-5p | 6.9238 | 2.6953 | 18.7462 | 0.0020 |
| hsa-miR-4433-3p | 7.4835 | 3.2970 | 18.2076 | 0.0021 |
| hsa-miR-4701-3p | 6.6046 | 2.5412 | 16.7191 | 0.0026 |
| hsa-miR-6849-5p | 5.9334 | 1.9205 | 16.1438 | 0.0021 |
| hsa-miR-595 | 5.7246 | 1.9235 | 13.9395 | 0.0024 |
| hsa-miR-150-3p | 6.0808 | 2.2974 | 13.7697 | 0.0023 |
| hsa-miR-7844-5p | 5.6850 | 1.9356 | 13.4488 | 0.0023 |
| hsa-miR-6798-5p | 8.3634 | 4.6340 | 13.2639 | 0.0025 |
| hsa-miR-4689 | 7.9570 | 4.2640 | 12.9339 | 0.0031 |
| hsa-miR-1180-3p | 6.1168 | 2.4509 | 12.6924 | 0.0028 |
| hsa-miR-3064-5p | 5.4298 | 1.8060 | 12.3269 | 0.0024 |
| hsa-miR-1225-5p | 6.5773 | 3.0099 | 11.8550 | 0.0029 |
| hsa-miR-6819-5p | 5.6768 | 2.2801 | 10.5317 | 0.0027 |
| hsa-miR-1268b | 7.3709 | 4.0387 | 10.0714 | 0.0037 |
Fig. 3Prediction of the functions and signal pathways of target genes for significant accumulated exosomal miRNA via GO and KEGG pathway analysis. a The GO function enrichment terms of target genes for the significantly accumulated miRNA sat week 5 vs. week 1 of storage time; the function terms were ranked from high to low by enrichment score. b The KEGG pathway analysis of the target genes for the significantly accumulated miRNAs at week 5 vs. week 1 of storage time. The dot color represents −log (P value), and the dot size represents the number of target genes included in the pathway
Fig. 4The networks of the top 17 exosomal miRNAs that accumulated more than tenfold in week 5 vs. week 1 of storage time, along with the target genes
Fig. 5Validation of exosomal miRNA accumulated more than tenfold at week 5 vs. week 1 storage time (*P < 0.05, **P < 0.01 and ***P < 0.001). The horizontal axis represents storage time, with week 1 at 1, week 3 at 3 and week 5 at 5. The vertical axis represents relative expression changes