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Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
Patient-derived tumor organoids (PDOs) have emerged as a reliable in vitro model for drug discovery. However, RNA sequencing-based analysis of PDOs treated with drugs has not been realized in a high-throughput format due to the limited quantity of organoids. Here, we translated a newly developed poo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934649/ https://www.ncbi.nlm.nih.gov/pubmed/34893868 http://dx.doi.org/10.1093/nar/gkab1201 |
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author | Wu, Yushuai Li, Kaiyi Li, Yaqian Sun, Tao Liu, Chang Dong, Chunhui Zhao, Tian Tang, Decong Chen, Xiaojie Chen, Xiaofang Liu, Peng |
author_facet | Wu, Yushuai Li, Kaiyi Li, Yaqian Sun, Tao Liu, Chang Dong, Chunhui Zhao, Tian Tang, Decong Chen, Xiaojie Chen, Xiaofang Liu, Peng |
author_sort | Wu, Yushuai |
collection | PubMed |
description | Patient-derived tumor organoids (PDOs) have emerged as a reliable in vitro model for drug discovery. However, RNA sequencing-based analysis of PDOs treated with drugs has not been realized in a high-throughput format due to the limited quantity of organoids. Here, we translated a newly developed pooled RNA-seq methodology onto a superhydrophobic microwell array chip to realize an assay of genome-wide RNA output unified with phenotypic data (Grouped-seq). Over 10-fold reduction of sample and reagent consumption together with a new ligation-based barcode synthesis method lowers the cost to ∼$2 per RNA-seq sample. Patient-derived colorectal cancer (CRC) organoids with a number of 10 organoids per microwell were treated with four anti-CRC drugs across eight doses and analyzed by the Grouped-seq. Using a phenotype-assisted pathway enrichment analysis (PAPEA) method, the mechanism of actions of the drugs were correctly derived, illustrating the great potential of Grouped-seq for pharmacological screening with tumor organoids. |
format | Online Article Text |
id | pubmed-8934649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89346492022-03-21 Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids Wu, Yushuai Li, Kaiyi Li, Yaqian Sun, Tao Liu, Chang Dong, Chunhui Zhao, Tian Tang, Decong Chen, Xiaojie Chen, Xiaofang Liu, Peng Nucleic Acids Res Methods Online Patient-derived tumor organoids (PDOs) have emerged as a reliable in vitro model for drug discovery. However, RNA sequencing-based analysis of PDOs treated with drugs has not been realized in a high-throughput format due to the limited quantity of organoids. Here, we translated a newly developed pooled RNA-seq methodology onto a superhydrophobic microwell array chip to realize an assay of genome-wide RNA output unified with phenotypic data (Grouped-seq). Over 10-fold reduction of sample and reagent consumption together with a new ligation-based barcode synthesis method lowers the cost to ∼$2 per RNA-seq sample. Patient-derived colorectal cancer (CRC) organoids with a number of 10 organoids per microwell were treated with four anti-CRC drugs across eight doses and analyzed by the Grouped-seq. Using a phenotype-assisted pathway enrichment analysis (PAPEA) method, the mechanism of actions of the drugs were correctly derived, illustrating the great potential of Grouped-seq for pharmacological screening with tumor organoids. Oxford University Press 2021-12-10 /pmc/articles/PMC8934649/ /pubmed/34893868 http://dx.doi.org/10.1093/nar/gkab1201 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Methods Online Wu, Yushuai Li, Kaiyi Li, Yaqian Sun, Tao Liu, Chang Dong, Chunhui Zhao, Tian Tang, Decong Chen, Xiaojie Chen, Xiaofang Liu, Peng Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title | Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title_full | Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title_fullStr | Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title_full_unstemmed | Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title_short | Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
title_sort | grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934649/ https://www.ncbi.nlm.nih.gov/pubmed/34893868 http://dx.doi.org/10.1093/nar/gkab1201 |
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