Characterization of Exogenous Sequence Fragments in Extracellular Vesicles from Human

Author:

Wang Yi123,Xie Gui-Yan23,Zhang Qiong4,Zhang Xiuqing15,Guo An-Yuan23ORCID

Affiliation:

1. College of Life Sciences University of Chinese Academy of Sciences Beijing 100049 China

2. West China Biomedical Big Data Center West China Hospital/West China School of Medicine Med-X Center for Informatics Sichuan University Chengdu 610041 China

3. Hubei Bioinformatics & Molecular Imaging Key Laboratory College of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

4. Research Center of Clinical Medicine Affiliated Hospital of Nantong University Nantong 226001 China

5. BGI-Shenzhen Shenzhen 518083 China

Abstract

Extracellular vesicles (EVs) play crucial role in mediating intercellular communication. Small RNA is an important component in EVs. However, the proportion of small RNA sequencing (smRNA‐seq) reads in EVs mapped to the human genome is much lower than that of cells, suggesting the existence of many nonhuman sequences in EVs. However, there is no systematic study on EV fragments unmapped to the human genome. Herein, using EV smRNA‐seq data, the landscape of exogenous RNA cargoes in human EVs is portrayed. The results show the distribution of nonhuman sequence fragments in 1838 EV samples; an average of 21.82% of reads are unmapped to the human genome, and 12.33% are mapped to the collected exogenous reference sequences. Furthermore, the proportion of exogenous sequences in plasma EV samples is the lowest, while in the cell line EV samples, it is much higher, mainly from animals, bacteria, or contaminants. Exogenous sequences from plants are mainly from food, and the exogenous bacteria are mainly gut microbiota. Virus‐derived sequences reflect the high prevalence of viruses in the population, such as herpesvirus and hepatitis virus. This study provides the first landscape of exogenous fragments in human EVs and implies diverse RNA sources in the human body.

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Approximate Message Passing Algorithms for Unlimited Sampling of Sparse Signals;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

2. Design of Single‐Atom Catalysts for E lectrocatalytic Nitrogen Fixation;ChemSusChem;2023-12-06

3. Challenges in characterization of transcriptomes of extracellular vesicles and non-vesicular extracellular RNA carriers;Frontiers in Molecular Biosciences;2023-12-05

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