| Literature DB >> 30154732 |
Liping Sun1, Fengyan Fan1,2, Ruilin Li3,4, Beifang Niu3,4,5, Liguo Zhu1, Shuai Yu6, Shuying Wang1, Cuiying Li2, Deqing Wang1.
Abstract
Background: The number of red blood cells (RBCs) increases significantly in response to high-altitude hypoxic environments, and the RBC microRNA (miRNA) expression pattern is similar to that in whole blood. Studies have shown that miRNA in plasma can act as a circulating hypoxia-associated marker, but the effect of a high-altitude hypoxic environment on RBC-derived miRNAs has not yet been reported.Entities:
Keywords: Han Chinese; Tibet; Tibetan; erythrocyte-derived microRNAs; high-altitude hypoxia
Year: 2018 PMID: 30154732 PMCID: PMC6102482 DOI: 10.3389/fphys.2018.01099
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.566
Figure 1Hematological features of the Sichuan Han, Tibet Han and Tibetan groups. RBC, red blood cell counts (A); HGB, hemoglobin (B); HCT, hematocrit (C); MCHC, mean corpuscular hemoglobin concentration (D); MCV, mean corpuscular volume (E); MCH, mean corpuscular hemoglobin (F) (*p-value < 0.05; error bars indicate the SD).
Figure 2miRNA sequencing analysis of RBC miRNA profiles. miRNAs with more than 1 read in the sequencing data were considered expressed miRNAs. A Venn diagram (A) displays the overlapping miRNAs among the Sichuan Han group, Tibet Han group and Tibetan group. RBC miRNAs were compared between the Tibet Han group and the Sichuan Han group (B), between the Tibetan group and the Sichuan Han group (C), and between the Tibetan group and the Tibet Han group (D). The volcano plot displays the relationship between fold change and significance using a scatter plot view. The red dots in the plot represent significantly upregulated miRNAs, and the blue dots indicate significantly downregulated miRNAs.
Markedly altered miRNAs in pooled RBC samples from the Tibet Han group compared with the Sichuan group as determined by miRNA sequencing.
| miR-144-5p | 32781.65 | 7520.45 | 19358.86 | 0.23 | 0.59 | 2.57 |
| miR-30b-5p | 29093.81 | 13471.60 | 22569.93 | 0.46 | 0.78 | 1.68 |
| miR-423-5p | 27877.61 | 10792.27 | 17083.94 | 0.39 | 0.61 | 1.58 |
| miR-16-2-3p | 1429.75 | 444.64 | 579.33 | 0.31 | 0.41 | 1.30 |
| miR-3200-5p | 425.78 | 200.68 | 315.54 | 0.47 | 0.74 | 1.57 |
| miR-4732-5p | 306.88 | 138.70 | 235.80 | 0.45 | 0.77 | 1.70 |
| miR-200c-3p | 283.51 | 22.63 | 33.08 | 0.08 | 0.12 | 1.46 |
| miR-125a-5p | 123.97 | 42.30 | 43.26 | 0.34 | 0.35 | 1.02 |
| miR-195-5p | 97.89 | 26.89 | 52.87 | 0.27 | 0.54 | 1.97 |
| miR-141-3p | 97.55 | 15.74 | 21.21 | 0.16 | 0.22 | 1.35 |
p-value < 0.001,
p-value > 0.05, calculated by Fisher's exact test.
Figure 3Verification of miRNA sequencing results by real-time PCR. Cq values of miR-144-5p (A) and miR-30b-5p (B) were converted to relative concentrations normalized to U6 values and were calculated using the comparative Cq method.
Figure 4Target analysis of miRNAs altered by high-altitude hypoxia. The biological function prediction of miR-144-5p was performed by GO (A) and KEGG analysis (B). The potential targets of miR-30b-5p by GO and KEGG analysis are shown in (C,D).
Predicted target genes of miR-144-5p and miR-30b-5p.
| miR-144-5p | PPARGC1A | SMAD4 | MDM4 | RAB14 | EPB41L4B | PKNOX1 | FOXO1 | MAPK9 | PTGS2 |
| NOX4 | ITPR2 | DMTN | L3MBTL3 | PTBP3 | IL10 | RORA | |||
| miR-30b-5p | UBE2D1 | CUL2 | IREB2 | EPB41 | ERG | ERBB4 | MAPK9 | RASD1 | NEUROD1 |
| BECN1 | PDGFA | EXOC6 | PTPN2 | GUCY1A3 | CCL19 | RORA | |||