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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
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.
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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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