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BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis
We describe a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts or genomic regions from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attac...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683345/ https://www.ncbi.nlm.nih.gov/pubmed/31387612 http://dx.doi.org/10.1186/s13059-019-1748-6 |
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author | Uzbas, Fatma Opperer, Florian Sönmezer, Can Shaposhnikov, Dmitry Sass, Steffen Krendl, Christian Angerer, Philipp Theis, Fabian J. Mueller, Nikola S. Drukker, Micha |
author_facet | Uzbas, Fatma Opperer, Florian Sönmezer, Can Shaposhnikov, Dmitry Sass, Steffen Krendl, Christian Angerer, Philipp Theis, Fabian J. Mueller, Nikola S. Drukker, Micha |
author_sort | Uzbas, Fatma |
collection | PubMed |
description | We describe a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts or genomic regions from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, which are all pre-selected and optimized in silico. By applying the matrices in a novel workflow named Barcode Assembly foR Targeted Sequencing (BART-Seq), we analyze developmental states of thousands of single human pluripotent stem cells, either in different maintenance media or upon Wnt/β-catenin pathway activation, which identifies the mechanisms of differentiation induction. Moreover, we apply BART-Seq to the genetic screening of breast cancer patients and identify BRCA mutations with very high precision. The processing of thousands of samples and dynamic range measurements that outperform global transcriptomics techniques makes BART-Seq first targeted sequencing technique suitable for numerous research applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1748-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6683345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66833452019-08-09 BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis Uzbas, Fatma Opperer, Florian Sönmezer, Can Shaposhnikov, Dmitry Sass, Steffen Krendl, Christian Angerer, Philipp Theis, Fabian J. Mueller, Nikola S. Drukker, Micha Genome Biol Method We describe a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts or genomic regions from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, which are all pre-selected and optimized in silico. By applying the matrices in a novel workflow named Barcode Assembly foR Targeted Sequencing (BART-Seq), we analyze developmental states of thousands of single human pluripotent stem cells, either in different maintenance media or upon Wnt/β-catenin pathway activation, which identifies the mechanisms of differentiation induction. Moreover, we apply BART-Seq to the genetic screening of breast cancer patients and identify BRCA mutations with very high precision. The processing of thousands of samples and dynamic range measurements that outperform global transcriptomics techniques makes BART-Seq first targeted sequencing technique suitable for numerous research applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1748-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-06 /pmc/articles/PMC6683345/ /pubmed/31387612 http://dx.doi.org/10.1186/s13059-019-1748-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Uzbas, Fatma Opperer, Florian Sönmezer, Can Shaposhnikov, Dmitry Sass, Steffen Krendl, Christian Angerer, Philipp Theis, Fabian J. Mueller, Nikola S. Drukker, Micha BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title | BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title_full | BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title_fullStr | BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title_full_unstemmed | BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title_short | BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
title_sort | bart-seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683345/ https://www.ncbi.nlm.nih.gov/pubmed/31387612 http://dx.doi.org/10.1186/s13059-019-1748-6 |
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