| Literature DB >> 31495564 |
Yi Yin1, Yue Jiang2, Kwan-Wood Gabriel Lam3, Joel B Berletch4, Christine M Disteche4, William S Noble5, Frank J Steemers6, R Daniel Camerini-Otero3, Andrew C Adey7, Jay Shendure8.
Abstract
Conventional methods for single-cell genome sequencing are limited with respect to uniformity and throughput. Here, we describe sci-L3, a single-cell sequencing method that combines combinatorial indexing (sci-) and linear (L) amplification. The sci-L3 method adopts a 3-level (3) indexing scheme that minimizes amplification biases while enabling exponential gains in throughput. We demonstrate the generalizability of sci-L3 with proof-of-concept demonstrations of single-cell whole-genome sequencing (sci-L3-WGS), targeted sequencing (sci-L3-target-seq), and a co-assay of the genome and transcriptome (sci-L3-RNA/DNA). We apply sci-L3-WGS to profile the genomes of >10,000 sperm and sperm precursors from F1 hybrid mice, mapping 86,786 crossovers and characterizing rare chromosome mis-segregation events in meiosis, including instances of whole-genome equational chromosome segregation. We anticipate that sci-L3 assays can be applied to fully characterize recombination landscapes, to couple CRISPR perturbations and measurements of genome stability, and to other goals requiring high-throughput, high-coverage single-cell sequencing.Entities:
Keywords: DNA repair; chromosome segregation; double-strand break; homologous recombination; infertility; linear amplification; meiotic crossover; mouse; single-cell combinatorial indexing; single-cell sequencing
Mesh:
Year: 2019 PMID: 31495564 PMCID: PMC6874760 DOI: 10.1016/j.molcel.2019.08.002
Source DB: PubMed Journal: Mol Cell ISSN: 1097-2765 Impact factor: 17.970