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Advanced techniques for gene heterogeneity research: Single‐cell sequencing and on‐chip gene analysis systems
Author(s) -
Dong Zaizai,
Wang Yu,
Yin Dedong,
Hang Xinxin,
Pu Lei,
Zhang Jianfu,
Geng Jia,
Chang Lingqian
Publication year - 2022
Publication title -
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Language(s) - English
Resource type - Journals
eISSN - 2688-268X
pISSN - 2688-3988
DOI - 10.1002/viw.20210011
Subject(s) - computational biology , gene , biomedicine , dna microarray , biology , gene mutation , single cell sequencing , gene expression , genetics , mutation , exome sequencing
Gene heterogeneity leads to the differences in cellular behaviors in a wide range, such as tumor drug‐resistant mutation, epithelial‐mesenchymal transition, and migration, posing significant challenges to the development of biomedicine. Traditional gene analysis methods, such as polymerase chain reaction, employ a mass of cells as the gene source, resulting in that the gene properties from a specific single cell are hidden in massive gene information. Recent decades have seen the emerging single‐cell gene analysis techniques with their unprecedented opportunities to study gene heterogeneity with high precision and high throughput. In this review, we summarized the state‐of‐the‐art techniques for single‐cell sequencing and on‐chip gene analysis systems. The principles of each technique are introduced in detail, with the focus on the application scenarios in gene heterogeneity research. Looking forward, we also introduced the challenges in current technologies and point out the future direction for facilitating the technical improvement and clinical applications of single‐cell gene analysis techniques.

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