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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.1
- 수록면
- 127 - 135 (9page)
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Since the introduction of RNA sequencing (RNA-seq) as a high-throughput mRNA expression analysis tool, this procedure has been increasingly implemented to identify cell-level transcriptome changes in a myriad of model systems. However, early methods processed cell samples in bulk, and therefore the unique transcriptomic patterns of individual cells would be lost due to data averaging. Nonetheless, the recent and continuous development of new single-cell RNA sequencing (scRNA-seq) toolkits has enabled researchers to compare transcriptomes at a single-cell resolution, thus facilitating the analysis of individual cellular features and a deeper understanding of cellular functions. Nonetheless, the rapid evolution of high throughput single-cell “omics” tools has created the need for effective hypothesis verification strategies. Particularly, this issue could be addressed by coupling cell engineering techniques with single-cell sequencing. This approach has been successfully employed to gain further insights into disease pathogenesis and the dynamics of differentiation trajectories. Therefore, this review will discuss the current status of cell engineering toolkits and their contributions to single-cell and genome-wide data collection and analyses.
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참고문헌 (76)
참고문헌 신청
Aarts, M. / 2017 / Coupling shRNA screens with single-cell RNA-seq identifies a dual role for mTOR in reprogramming-induced senescence / Genes Dev 31:2085~2098
Adamson, B. / 2016 / A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response / Cell 167:1867~1882
Alemany, A. / 2018 / Whole-organism clone tracing using single-cell sequencing / Nature 556:108~112
Alles, J. / 2017 / Cell fixation and preservation for droplet-based single-cell transcriptomics / BMC Biol 15:44
Attar, M. / 2018 / A practical solution for preserving single cells for RNA sequencing / Sci. Rep. 8:2151
Adamson, B. / 2016 / A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response / Cell 167:1867~1882
Alemany, A. / 2018 / Whole-organism clone tracing using single-cell sequencing / Nature 556:108~112
Alles, J. / 2017 / Cell fixation and preservation for droplet-based single-cell transcriptomics / BMC Biol 15:44
Attar, M. / 2018 / A practical solution for preserving single cells for RNA sequencing / Sci. Rep. 8:2151
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