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Recent Innovations and Technical Advances in High-Throughput Parallel Single-Cell Whole-Genome Sequencing Methods.
Qiao, Yi; Cheng, Tianguang; Miao, Zikun; Cui, Yue; Tu, Jing.
Affiliation
  • Qiao Y; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
  • Cheng T; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
  • Miao Z; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
  • Cui Y; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
  • Tu J; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Small Methods ; : e2400789, 2024 Jul 09.
Article in En | MEDLINE | ID: mdl-38979872
ABSTRACT
Single-cell whole-genome sequencing (scWGS) detects cell heterogeneity at the aspect of genomic variations, which are inheritable and play an important role in life processes such as aging and cancer progression. The recent explosive development of high-throughput single-cell sequencing methods has enabled high-performance heterogeneity detection through a vast number of novel strategies. Despite the limitation on total cost, technical advances in high-throughput single-cell whole-genome sequencing methods are made for higher genome coverage, parallel throughput, and level of integration. This review highlights the technical advancements in high-throughput scWGS in the aspects of strategies design, data efficiency, parallel handling platforms, and their applications on human genome. The experimental innovations, remaining challenges, and perspectives are summarized and discussed.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Small Methods / Small methods Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Small Methods / Small methods Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania