Opportunities and tradeoffs in single-cell transcriptomic technologies

被引:13
作者
Conte, Matilde I. [1 ]
Fuentes-Trillo, Azahara [1 ]
Conde, Cecilia Dominguez [1 ]
机构
[1] Human Technopole, Viale Rita,Levi-Montalcini 1, I-20157 Milan, Italy
关键词
RNA-SEQ; EXPRESSION; DYNAMICS;
D O I
10.1016/j.tig.2023.10.003
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Recent technological and algorithmic advances enable single-cell transcriptomic analysis with remarkable depth and breadth. Nonetheless, a persistent challenge is the compromise between the ability to profile high numbers of cells and the achievement of full-length transcript coverage. Currently, the field is progressing and developing new and creative solutions that improve cellular throughput, gene detection sensitivity and full-length transcript capture. Furthermore, longread sequencing approaches for single-cell transcripts are breaking frontiers that have previously blocked full transcriptome characterization. We here present a comprehensive overview of available options for single-cell transcriptome profiling, highlighting the key advantages and disadvantages of each approach.
引用
收藏
页码:83 / 93
页数:11
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