BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis
Abstract 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 barco...
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doaj-aff102b32c8b49f1a559718cb9e030ed2020-11-25T02:59:16ZengBMCGenome Biology1474-760X2019-08-0120111610.1186/s13059-019-1748-6BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysisFatma Uzbas0Florian Opperer1Can Sönmezer2Dmitry Shaposhnikov3Steffen Sass4Christian Krendl5Philipp Angerer6Fabian J. Theis7Nikola S. Mueller8Micha Drukker9Institute of Stem Cell Research, Helmholtz Center MunichInstitute of Stem Cell Research, Helmholtz Center MunichInstitute of Stem Cell Research, Helmholtz Center MunichInstitute of Stem Cell Research, Helmholtz Center MunichInstitute of Computational Biology, Helmholtz Center MunichInstitute of Stem Cell Research, Helmholtz Center MunichInstitute of Computational Biology, Helmholtz Center MunichInstitute of Computational Biology, Helmholtz Center MunichInstitute of Computational Biology, Helmholtz Center MunichInstitute of Stem Cell Research, Helmholtz Center MunichAbstract 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.http://link.springer.com/article/10.1186/s13059-019-1748-6BarcodingSingle-cell RNA sequencingTargeted transcriptomicsHigh-throughput screeningHuman pluripotent stem cellsMultiplex PCR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fatma Uzbas Florian Opperer Can Sönmezer Dmitry Shaposhnikov Steffen Sass Christian Krendl Philipp Angerer Fabian J. Theis Nikola S. Mueller Micha Drukker |
spellingShingle |
Fatma Uzbas Florian Opperer Can Sönmezer Dmitry Shaposhnikov Steffen Sass Christian Krendl Philipp Angerer Fabian J. Theis Nikola S. Mueller Micha Drukker BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis Genome Biology Barcoding Single-cell RNA sequencing Targeted transcriptomics High-throughput screening Human pluripotent stem cells Multiplex PCR |
author_facet |
Fatma Uzbas Florian Opperer Can Sönmezer Dmitry Shaposhnikov Steffen Sass Christian Krendl Philipp Angerer Fabian J. Theis Nikola S. Mueller Micha Drukker |
author_sort |
Fatma Uzbas |
title |
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_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_sort |
bart-seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis |
publisher |
BMC |
series |
Genome Biology |
issn |
1474-760X |
publishDate |
2019-08-01 |
description |
Abstract 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. |
topic |
Barcoding Single-cell RNA sequencing Targeted transcriptomics High-throughput screening Human pluripotent stem cells Multiplex PCR |
url |
http://link.springer.com/article/10.1186/s13059-019-1748-6 |
work_keys_str_mv |
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