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

Genome Biol. 2019 Aug 6;20(1):155. doi: 10.1186/s13059-019-1748-6.

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.

Keywords: Barcoding; High-throughput screening; Human pluripotent stem cells; Multiplex PCR; Single-cell RNA sequencing; Targeted transcriptomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / genetics
  • Cost-Benefit Analysis
  • Embryonic Stem Cells / metabolism
  • Female
  • Gene Expression Profiling / economics
  • Gene Expression Profiling / methods*
  • Genomics / economics
  • Genomics / methods*
  • High-Throughput Nucleotide Sequencing / economics
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Pluripotent Stem Cells / metabolism
  • Sequence Analysis, RNA / economics
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / economics
  • Single-Cell Analysis / methods
  • Wnt Signaling Pathway
  • Workflow