Plate IV.341 · Publications

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis

Article in Genome Biology, 6 August 2019.

Open accessResearch area: Single Cell RNA, Gene Expression

Authors

  1. Fatma Uzbas
  2. Florian Opperer
  3. Can Sönmezer
  4. Dmitry Shaposhnikov
  5. Steffen Sass
  6. Christian Krendl
  7. Philipp Angerer
  8. Fabian J. Theis
  9. Nikola S. Mueller
  10. Micha Drukker

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.

Cite

@article{uzbas2019bart,
  title = {{BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis}},
  author = {Uzbas, Fatma and Opperer, Florian and Sönmezer, Can and Shaposhnikov, Dmitry and Sass, Steffen and Krendl, Christian and Angerer, Philipp and Theis, Fabian J. and Mueller, Nikola S. and Drukker, Micha},
  journal = {Genome Biology},
  publisher = {Springer Science and Business Media LLC},
  year = {2019},
  month = aug,
  doi = {10.1186/s13059-019-1748-6},
  url = {https://doi.org/10.1186/s13059-019-1748-6},
  pmid = {31387612},
  pmcid = {PMC6683345}
}
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