Cargando…
Single-cell DNA and RNA sequencing of circulating tumor cells
Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sort...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613180/ https://www.ncbi.nlm.nih.gov/pubmed/34819539 http://dx.doi.org/10.1038/s41598-021-02165-7 |
_version_ | 1784603582759174144 |
---|---|
author | Kojima, Masato Harada, Takanori Fukazawa, Takahiro Kurihara, Sho Saeki, Isamu Takahashi, Shinya Hiyama, Eiso |
author_facet | Kojima, Masato Harada, Takanori Fukazawa, Takahiro Kurihara, Sho Saeki, Isamu Takahashi, Shinya Hiyama, Eiso |
author_sort | Kojima, Masato |
collection | PubMed |
description | Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sorting. DNA and mRNA were amplified by four different whole-genome amplifications (WGA) and three whole-transcriptome amplifications (WTA) methods, followed by single-cell DNA and RNA sequencing. Multiple displacement amplification (MDA)-based WGA methods showed higher amplification efficiency than other methods with a comparable depth of coverage as the bulk sample. The uniformity of coverage greatly differed among samples (12.5–89.2%), with some samples evaluated by the MDA-based WGA method using phi29 DNA polymerase and random primers showing a high (> 80%) uniformity of coverage. The MDA-based WTA method less effectively amplified mRNA and showed non-specific gene expression patterns. The PCR-based WTA using template switching with locked nucleic acid technology accurately amplified mRNA from a single cell. Taken together, our results present a more reliable and adaptable approach for CTC profiling at the single-cell level. Such molecular information on CTCs derived from clinical patients will promote cancer treatment and research. |
format | Online Article Text |
id | pubmed-8613180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86131802021-11-26 Single-cell DNA and RNA sequencing of circulating tumor cells Kojima, Masato Harada, Takanori Fukazawa, Takahiro Kurihara, Sho Saeki, Isamu Takahashi, Shinya Hiyama, Eiso Sci Rep Article Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sorting. DNA and mRNA were amplified by four different whole-genome amplifications (WGA) and three whole-transcriptome amplifications (WTA) methods, followed by single-cell DNA and RNA sequencing. Multiple displacement amplification (MDA)-based WGA methods showed higher amplification efficiency than other methods with a comparable depth of coverage as the bulk sample. The uniformity of coverage greatly differed among samples (12.5–89.2%), with some samples evaluated by the MDA-based WGA method using phi29 DNA polymerase and random primers showing a high (> 80%) uniformity of coverage. The MDA-based WTA method less effectively amplified mRNA and showed non-specific gene expression patterns. The PCR-based WTA using template switching with locked nucleic acid technology accurately amplified mRNA from a single cell. Taken together, our results present a more reliable and adaptable approach for CTC profiling at the single-cell level. Such molecular information on CTCs derived from clinical patients will promote cancer treatment and research. Nature Publishing Group UK 2021-11-24 /pmc/articles/PMC8613180/ /pubmed/34819539 http://dx.doi.org/10.1038/s41598-021-02165-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kojima, Masato Harada, Takanori Fukazawa, Takahiro Kurihara, Sho Saeki, Isamu Takahashi, Shinya Hiyama, Eiso Single-cell DNA and RNA sequencing of circulating tumor cells |
title | Single-cell DNA and RNA sequencing of circulating tumor cells |
title_full | Single-cell DNA and RNA sequencing of circulating tumor cells |
title_fullStr | Single-cell DNA and RNA sequencing of circulating tumor cells |
title_full_unstemmed | Single-cell DNA and RNA sequencing of circulating tumor cells |
title_short | Single-cell DNA and RNA sequencing of circulating tumor cells |
title_sort | single-cell dna and rna sequencing of circulating tumor cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613180/ https://www.ncbi.nlm.nih.gov/pubmed/34819539 http://dx.doi.org/10.1038/s41598-021-02165-7 |
work_keys_str_mv | AT kojimamasato singlecelldnaandrnasequencingofcirculatingtumorcells AT haradatakanori singlecelldnaandrnasequencingofcirculatingtumorcells AT fukazawatakahiro singlecelldnaandrnasequencingofcirculatingtumorcells AT kuriharasho singlecelldnaandrnasequencingofcirculatingtumorcells AT saekiisamu singlecelldnaandrnasequencingofcirculatingtumorcells AT takahashishinya singlecelldnaandrnasequencingofcirculatingtumorcells AT hiyamaeiso singlecelldnaandrnasequencingofcirculatingtumorcells |