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Extracellular RNA in a single droplet of human serum reflects physiologic and disease states
Extracellular RNAs (exRNAs) are present in human serum. It remains unclear to what extent these circulating exRNAs may reflect human physiologic and disease states. Here, we developed SILVER-seq (Small Input Liquid Volume Extracellular RNA Sequencing) to efficiently sequence both integral and fragme...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754586/ https://www.ncbi.nlm.nih.gov/pubmed/31481608 http://dx.doi.org/10.1073/pnas.1908252116 |
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author | Zhou, Zixu Wu, Qiuyang Yan, Zhangming Zheng, Haizi Chen, Chien-Ju Liu, Yuan Qi, Zhijie Calandrelli, Riccardo Chen, Zhen Chien, Shu Su, H. Irene Zhong, Sheng |
author_facet | Zhou, Zixu Wu, Qiuyang Yan, Zhangming Zheng, Haizi Chen, Chien-Ju Liu, Yuan Qi, Zhijie Calandrelli, Riccardo Chen, Zhen Chien, Shu Su, H. Irene Zhong, Sheng |
author_sort | Zhou, Zixu |
collection | PubMed |
description | Extracellular RNAs (exRNAs) are present in human serum. It remains unclear to what extent these circulating exRNAs may reflect human physiologic and disease states. Here, we developed SILVER-seq (Small Input Liquid Volume Extracellular RNA Sequencing) to efficiently sequence both integral and fragmented exRNAs from a small droplet (5 [Formula: see text] L to 7 [Formula: see text] L) of liquid biopsy. We calibrated SILVER-seq in reference to other RNA sequencing methods based on milliliters of input serum and quantified droplet-to-droplet and donor-to-donor variations. We carried out SILVER-seq on more than 150 serum droplets from male and female donors ranging from 18 y to 48 y of age. SILVER-seq detected exRNAs from more than a quarter of the human genes, including small RNAs and fragments of mRNAs and long noncoding RNAs (lncRNAs). The detected exRNAs included those derived from genes with tissue (e.g., brain)-specific expression. The exRNA expression levels separated the male and female samples and were correlated with chronological age. Noncancer and breast cancer donors exhibited pronounced differences, whereas donors with or without cancer recurrence exhibited moderate differences in exRNA expression patterns. Even without using differentially expressed exRNAs as features, nearly all cancer and noncancer samples and a large portion of the recurrence and nonrecurrence samples could be correctly classified by exRNA expression values. These data suggest the potential of using exRNAs in a single droplet of serum for liquid biopsy-based diagnostics. |
format | Online Article Text |
id | pubmed-6754586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-67545862019-10-01 Extracellular RNA in a single droplet of human serum reflects physiologic and disease states Zhou, Zixu Wu, Qiuyang Yan, Zhangming Zheng, Haizi Chen, Chien-Ju Liu, Yuan Qi, Zhijie Calandrelli, Riccardo Chen, Zhen Chien, Shu Su, H. Irene Zhong, Sheng Proc Natl Acad Sci U S A PNAS Plus Extracellular RNAs (exRNAs) are present in human serum. It remains unclear to what extent these circulating exRNAs may reflect human physiologic and disease states. Here, we developed SILVER-seq (Small Input Liquid Volume Extracellular RNA Sequencing) to efficiently sequence both integral and fragmented exRNAs from a small droplet (5 [Formula: see text] L to 7 [Formula: see text] L) of liquid biopsy. We calibrated SILVER-seq in reference to other RNA sequencing methods based on milliliters of input serum and quantified droplet-to-droplet and donor-to-donor variations. We carried out SILVER-seq on more than 150 serum droplets from male and female donors ranging from 18 y to 48 y of age. SILVER-seq detected exRNAs from more than a quarter of the human genes, including small RNAs and fragments of mRNAs and long noncoding RNAs (lncRNAs). The detected exRNAs included those derived from genes with tissue (e.g., brain)-specific expression. The exRNA expression levels separated the male and female samples and were correlated with chronological age. Noncancer and breast cancer donors exhibited pronounced differences, whereas donors with or without cancer recurrence exhibited moderate differences in exRNA expression patterns. Even without using differentially expressed exRNAs as features, nearly all cancer and noncancer samples and a large portion of the recurrence and nonrecurrence samples could be correctly classified by exRNA expression values. These data suggest the potential of using exRNAs in a single droplet of serum for liquid biopsy-based diagnostics. National Academy of Sciences 2019-09-17 2019-09-03 /pmc/articles/PMC6754586/ /pubmed/31481608 http://dx.doi.org/10.1073/pnas.1908252116 Text en Copyright © 2019 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | PNAS Plus Zhou, Zixu Wu, Qiuyang Yan, Zhangming Zheng, Haizi Chen, Chien-Ju Liu, Yuan Qi, Zhijie Calandrelli, Riccardo Chen, Zhen Chien, Shu Su, H. Irene Zhong, Sheng Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title | Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title_full | Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title_fullStr | Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title_full_unstemmed | Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title_short | Extracellular RNA in a single droplet of human serum reflects physiologic and disease states |
title_sort | extracellular rna in a single droplet of human serum reflects physiologic and disease states |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754586/ https://www.ncbi.nlm.nih.gov/pubmed/31481608 http://dx.doi.org/10.1073/pnas.1908252116 |
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