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MicroRNA profiling of exosomes derived from red blood cell units: implications in transfusion-related immunomodulation.

Huang, Haobo, Zhu, Jinfeng, Fan, Liping, Lin, Qiuyan, Fu, Danhui, Wei, Biyu, Wei, Shijin·2019·BioMed Research International

Abstract

Purpose. To elucidate the microRNAs existent in exosomes derived from stored red blood cell (RBC) unit and their potential function. Materials and Methods. Exosomes were isolated from the supernatant derived from stored RBC units by sequential centrifugation. Isolated exosomes were characterized by TEM (transmission electron microscopy), western blotting, and DLS (dynamic light scattering). MicroRNA (miRNA) microarray was performed to detect the expression of miRNAs in 3 exosome samples. Results revealed miRNAs that were simultaneously expressed in the 3 exosome samples and were previously reported to exist in mature RBCs. Functions and potential pathways of some detected miRNAs were illustrated by bioinformatic analysis. Validation of the top 3 abundant miRNAs was carried out by qRT-PCR (quantitative reverse transcription‐polymerase chain reaction). Results. TEM and DLS revealed the mean size of the exosomes (RBC-derived) as 64.08 nm. These exosomes exhibited higher abundance of short RNA than the long RNA. 78 miRNAs were simultaneously detected in 3 exosome samples and mature RBCs. Several biological processes might be impacted by these miRNAs, through their target gene(s) enriched in a particular signalling pathway. The top 3 (abundant) miRNAs detected were as follows: miR-125b-5p, miR-4454, and miR-451a. qRT-PCR revealed higher abundance of miR-451a than others. Only miR-4454 and miR-451a abundance tended to increase with increasing storage time. Conclusion. Exosomes derived from stored RBC units possessed multiple miRNAs and, hence, could serve various functions. The function of exosomes (RBC-derived) might be implemented partly by the predominantly enriched miR-451a.

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Crossref · 10.1155/2019/2045915

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Figures

Figure 1 Identification of the exosomes derived from RBC units. (a) Morphology of exosomes, as revealed by TEM. (b) Exosome-specific markers (positive: CD63 and TSG101; negative: Calnexin) as detected by western blotting. (c) Particle size distribution by DLS.
Figure 1 Identification of the exosomes derived from RBC units. (a) Morphology of exosomes, as revealed by TEM. (b) Exosome-specific markers (positive: CD63 and TSG101; negative: Calnexin) as detected by western blotting. (c) Particle size distribution by DLS.CC BY · PubMed Central
Figure 2 Quantification and integrity of RNA contents of exosomes derived from RBC units. (a) The quantification of the total RNA in 50 exosome samples (as detected by Nanodrop® ND-1000). (b) Estimation of total RNA integrity in 3 exosome samples (Nos. 47603, 49603, and 42420) by denaturing agarose gel electrophoresis.
Figure 2 Quantification and integrity of RNA contents of exosomes derived from RBC units. (a) The quantification of the total RNA in 50 exosome samples (as detected by Nanodrop® ND-1000). (b) Estimation of total RNA integrity in 3 exosome samples (Nos. 47603, 49603, and 42420) by denaturing agarose gel electrophoresis.CC BY · PubMed Central
Figure 3 miRNA expression profiling of exosomes (RBC-derived). (a) Venn diagram exhibiting the miRNAs that are simultaneously expressed in all of 3 exosome samples and are also present in mature RBCs. (b) Heat map revealing the abundance of 78 miRNAs (simultaneously expressed in all 3 exosome samples) as screened by three microarray assays.
Figure 3 miRNA expression profiling of exosomes (RBC-derived). (a) Venn diagram exhibiting the miRNAs that are simultaneously expressed in all of 3 exosome samples and are also present in mature RBCs. (b) Heat map revealing the abundance of 78 miRNAs (simultaneously expressed in all 3 exosome samples) as screened by three microarray assays.CC BY · PubMed Central
Figure 4 Enrichment analysis of the top 10 abundant miRNAs. (a–c, e) The 10 most enriched categories and the enrichment scores (-log 10(p value), p < 0.05) in Cellular Component, Biological Process, and Molecular Function were shown. (d) The top 10 important pathways.
Figure 4 Enrichment analysis of the top 10 abundant miRNAs. (a–c, e) The 10 most enriched categories and the enrichment scores (-log 10(p value), p < 0.05) in Cellular Component, Biological Process, and Molecular Function were shown. (d) The top 10 important pathways.CC BY · PubMed Central
Figure 5 The top 10 abundant miRNAs, targeted genes, and networks.
Figure 5 The top 10 abundant miRNAs, targeted genes, and networks.CC BY · PubMed Central
Figure 6 Analysis of correlation between expression of exosomal miR-451a (a), miR-4454 (b), and storage time.
Figure 6 Analysis of correlation between expression of exosomal miR-451a (a), miR-4454 (b), and storage time.CC BY · PubMed Central

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Metadata

Authors
Huang, H., Zhu, J., Fan, L., Lin, Q., Fu, D., Wei, B., & Wei, S.
Affiliations
  • Department of Blood Transfusion, Fujian Medical University Union Hospital, Gulou District, Fuzhou City, Fujian Province 350001, China
  • Department of Oncology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou City, Fujian Province 362000, China
Venue
BioMed Research International
Publisher
Wiley
Published
2019-06-13
Volume
2019
Pages
1-10
ISSN
  • 2314-6133
  • 2314-6141
Cited by
33
References
36
Language
en
Funders
  • Joint Funds for the Innovation of Science and Technology of Fujian Province (2016Y9027, 2018J01311, 2018-ZQN-30, 2016QH035, 2017XQ1030, 2018-CXB-7)
  • Natural Science Foundation of Fujian Province (2016Y9027, 2018J01311, 2018-ZQN-30, 2016QH035, 2017XQ1030, 2018-CXB-7)
  • Medical Elite Cultivation Program of Fujian Province (2016Y9027, 2018J01311, 2018-ZQN-30, 2016QH035, 2017XQ1030, 2018-CXB-7)
  • Startup Fund for Scientific Research of Fujian Medical University (2016Y9027, 2018J01311, 2018-ZQN-30, 2016QH035, 2017XQ1030, 2018-CXB-7)
  • Fujian Medicine Innovation Program (2016Y9027, 2018J01311, 2018-ZQN-30, 2016QH035, 2017XQ1030, 2018-CXB-7)

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CoChat. (2026). Citation check: MicroRNA profiling of exosomes derived from red blood cell units: implications in transfusion-related immunomodulation. https://app.cochat.ai/papers/10.1155/2019/2045915
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Huang, H., Zhu, J., Fan, L., Lin, Q., Fu, D., Wei, B., & Wei, S. (2019). MicroRNA profiling of exosomes derived from red blood cell units: implications in transfusion-related immunomodulation. BioMed Research International. https://doi.org/10.1155/2019/2045915

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