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scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation.
Raine, Amanda; Lundmark, Anders; Annett, Alva; Wiman, Ann-Christin; Cavalli, Marco; Wadelius, Claes; Bergin, Claudia; Nordlund, Jessica.
Affiliation
  • Raine A; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. Amanda.Raine@medsci.uu.se.
  • Lundmark A; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Annett A; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Wiman AC; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Cavalli M; Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
  • Wadelius C; Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
  • Bergin C; Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
  • Nordlund J; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Sci Rep ; 12(1): 5772, 2022 04 06.
Article in En | MEDLINE | ID: mdl-35388090
DNA methylation is a central epigenetic mark that has diverse roles in gene regulation, development, and maintenance of genome integrity. 5 methyl cytosine (5mC) can be interrogated at base resolution in single cells by using bisulfite sequencing (scWGBS). Several different scWGBS strategies have been described in recent years to study DNA methylation in single cells. However, there remain limitations with respect to cost-efficiency and yield. Herein, we present a new development in the field of scWGBS library preparation; single cell Splinted Ligation Adapter Tagging (scSPLAT). scSPLAT employs a pooling strategy to facilitate sample preparation at a higher scale and throughput than previously possible. We demonstrate the accuracy and robustness of the method by generating data from 225 single K562 cells and from 309 single liver nuclei and compare scSPLAT against other scWGBS methods.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sulfites / High-Throughput Nucleotide Sequencing Language: En Journal: Sci Rep Year: 2022 Type: Article Affiliation country: Sweden

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sulfites / High-Throughput Nucleotide Sequencing Language: En Journal: Sci Rep Year: 2022 Type: Article Affiliation country: Sweden