Cargando…

Characterization of human plasma-derived exosomal RNAs by deep sequencing

BACKGROUND: Exosomes, endosome-derived membrane microvesicles, contain specific RNA transcripts that are thought to be involved in cell-cell communication. These RNA transcripts have great potential as disease biomarkers. To characterize exosomal RNA profiles systemically, we performed RNA sequencin...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Xiaoyi, Yuan, Tiezheng, Tschannen, Michael, Sun, Zhifu, Jacob, Howard, Du, Meijun, Liang, Meihua, Dittmar, Rachel L, Liu, Yong, Liang, Mingyu, Kohli, Manish, Thibodeau, Stephen N, Boardman, Lisa, Wang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653748/
https://www.ncbi.nlm.nih.gov/pubmed/23663360
http://dx.doi.org/10.1186/1471-2164-14-319
_version_ 1782269441330905088
author Huang, Xiaoyi
Yuan, Tiezheng
Tschannen, Michael
Sun, Zhifu
Jacob, Howard
Du, Meijun
Liang, Meihua
Dittmar, Rachel L
Liu, Yong
Liang, Mingyu
Kohli, Manish
Thibodeau, Stephen N
Boardman, Lisa
Wang, Liang
author_facet Huang, Xiaoyi
Yuan, Tiezheng
Tschannen, Michael
Sun, Zhifu
Jacob, Howard
Du, Meijun
Liang, Meihua
Dittmar, Rachel L
Liu, Yong
Liang, Mingyu
Kohli, Manish
Thibodeau, Stephen N
Boardman, Lisa
Wang, Liang
author_sort Huang, Xiaoyi
collection PubMed
description BACKGROUND: Exosomes, endosome-derived membrane microvesicles, contain specific RNA transcripts that are thought to be involved in cell-cell communication. These RNA transcripts have great potential as disease biomarkers. To characterize exosomal RNA profiles systemically, we performed RNA sequencing analysis using three human plasma samples and evaluated the efficacies of small RNA library preparation protocols from three manufacturers. In all we evaluated 14 libraries (7 replicates). RESULTS: From the 14 size-selected sequencing libraries, we obtained a total of 101.8 million raw single-end reads, an average of about 7.27 million reads per library. Sequence analysis showed that there was a diverse collection of the exosomal RNA species among which microRNAs (miRNAs) were the most abundant, making up over 42.32% of all raw reads and 76.20% of all mappable reads. At the current read depth, 593 miRNAs were detectable. The five most common miRNAs (miR-99a-5p, miR-128, miR-124-3p, miR-22-3p, and miR-99b-5p) collectively accounted for 48.99% of all mappable miRNA sequences. MiRNA target gene enrichment analysis suggested that the highly abundant miRNAs may play an important role in biological functions such as protein phosphorylation, RNA splicing, chromosomal abnormality, and angiogenesis. From the unknown RNA sequences, we predicted 185 potential miRNA candidates. Furthermore, we detected significant fractions of other RNA species including ribosomal RNA (9.16% of all mappable counts), long non-coding RNA (3.36%), piwi-interacting RNA (1.31%), transfer RNA (1.24%), small nuclear RNA (0.18%), and small nucleolar RNA (0.01%); fragments of coding sequence (1.36%), 5(′) untranslated region (0.21%), and 3(′) untranslated region (0.54%) were also present. In addition to the RNA composition of the libraries, we found that the three tested commercial kits generated a sufficient number of DNA fragments for sequencing but each had significant bias toward capturing specific RNAs. CONCLUSIONS: This study demonstrated that a wide variety of RNA species are embedded in the circulating vesicles. To our knowledge, this is the first report that applied deep sequencing to discover and characterize profiles of plasma-derived exosomal RNAs. Further characterization of these extracellular RNAs in diverse human populations will provide reference profiles and open new doors for the development of blood-based biomarkers for human diseases.
format Online
Article
Text
id pubmed-3653748
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-36537482013-05-15 Characterization of human plasma-derived exosomal RNAs by deep sequencing Huang, Xiaoyi Yuan, Tiezheng Tschannen, Michael Sun, Zhifu Jacob, Howard Du, Meijun Liang, Meihua Dittmar, Rachel L Liu, Yong Liang, Mingyu Kohli, Manish Thibodeau, Stephen N Boardman, Lisa Wang, Liang BMC Genomics Research Article BACKGROUND: Exosomes, endosome-derived membrane microvesicles, contain specific RNA transcripts that are thought to be involved in cell-cell communication. These RNA transcripts have great potential as disease biomarkers. To characterize exosomal RNA profiles systemically, we performed RNA sequencing analysis using three human plasma samples and evaluated the efficacies of small RNA library preparation protocols from three manufacturers. In all we evaluated 14 libraries (7 replicates). RESULTS: From the 14 size-selected sequencing libraries, we obtained a total of 101.8 million raw single-end reads, an average of about 7.27 million reads per library. Sequence analysis showed that there was a diverse collection of the exosomal RNA species among which microRNAs (miRNAs) were the most abundant, making up over 42.32% of all raw reads and 76.20% of all mappable reads. At the current read depth, 593 miRNAs were detectable. The five most common miRNAs (miR-99a-5p, miR-128, miR-124-3p, miR-22-3p, and miR-99b-5p) collectively accounted for 48.99% of all mappable miRNA sequences. MiRNA target gene enrichment analysis suggested that the highly abundant miRNAs may play an important role in biological functions such as protein phosphorylation, RNA splicing, chromosomal abnormality, and angiogenesis. From the unknown RNA sequences, we predicted 185 potential miRNA candidates. Furthermore, we detected significant fractions of other RNA species including ribosomal RNA (9.16% of all mappable counts), long non-coding RNA (3.36%), piwi-interacting RNA (1.31%), transfer RNA (1.24%), small nuclear RNA (0.18%), and small nucleolar RNA (0.01%); fragments of coding sequence (1.36%), 5(′) untranslated region (0.21%), and 3(′) untranslated region (0.54%) were also present. In addition to the RNA composition of the libraries, we found that the three tested commercial kits generated a sufficient number of DNA fragments for sequencing but each had significant bias toward capturing specific RNAs. CONCLUSIONS: This study demonstrated that a wide variety of RNA species are embedded in the circulating vesicles. To our knowledge, this is the first report that applied deep sequencing to discover and characterize profiles of plasma-derived exosomal RNAs. Further characterization of these extracellular RNAs in diverse human populations will provide reference profiles and open new doors for the development of blood-based biomarkers for human diseases. BioMed Central 2013-05-10 /pmc/articles/PMC3653748/ /pubmed/23663360 http://dx.doi.org/10.1186/1471-2164-14-319 Text en Copyright © 2013 Huang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huang, Xiaoyi
Yuan, Tiezheng
Tschannen, Michael
Sun, Zhifu
Jacob, Howard
Du, Meijun
Liang, Meihua
Dittmar, Rachel L
Liu, Yong
Liang, Mingyu
Kohli, Manish
Thibodeau, Stephen N
Boardman, Lisa
Wang, Liang
Characterization of human plasma-derived exosomal RNAs by deep sequencing
title Characterization of human plasma-derived exosomal RNAs by deep sequencing
title_full Characterization of human plasma-derived exosomal RNAs by deep sequencing
title_fullStr Characterization of human plasma-derived exosomal RNAs by deep sequencing
title_full_unstemmed Characterization of human plasma-derived exosomal RNAs by deep sequencing
title_short Characterization of human plasma-derived exosomal RNAs by deep sequencing
title_sort characterization of human plasma-derived exosomal rnas by deep sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653748/
https://www.ncbi.nlm.nih.gov/pubmed/23663360
http://dx.doi.org/10.1186/1471-2164-14-319
work_keys_str_mv AT huangxiaoyi characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT yuantiezheng characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT tschannenmichael characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT sunzhifu characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT jacobhoward characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT dumeijun characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT liangmeihua characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT dittmarrachell characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT liuyong characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT liangmingyu characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT kohlimanish characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT thibodeaustephenn characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT boardmanlisa characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing
AT wangliang characterizationofhumanplasmaderivedexosomalrnasbydeepsequencing