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Advanced sequencing-based high-throughput and long-read single-cell transcriptome analysis
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DOI：10.1039/d4lc00105b.png)
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Cells are the fundamental building blocks of living systems, exhibiting significant heterogeneity. The transcriptome connects the cellular genotype and phenotype, and profiling single-cell transcriptomes is critical for uncovering distinct cell types, states, and the interplay between cells in development, health, and disease. Nevertheless, single-cell transcriptome analysis faces daunting challenges due to the low abundance and diverse nature of RNAs in individual cells, as well as their heterogeneous expression. The advent and continuous advancements of next-generation sequencing (NGS) and third-generation sequencing (TGS) technologies have solved these problems and facilitated the high-throughput, sensitive, full-length, and rapid profiling of single-cell RNAs. In this review, we provide a broad introduction to current methodologies for single-cell transcriptome sequencing. First, state-of-the-art advancements in high-throughput and full-length single-cell RNA sequencing (scRNA-seq) platforms using NGS are reviewed. Next, TGS-based long-read scRNA-seq methods are summarized. Finally, a brief conclusion and perspectives for comprehensive single-cell transcriptome analysis are discussed. In this review, we provide a broad introduction to advanced high-throughput and long-read single-cell transcriptome analysis using next-generation sequencing and third-generation sequencing platforms.
Keyword:
NUCLEUS RNA-SEQ
GENE-EXPRESSION
MESSENGER-RNA
TISSUE
REVEALS
OMICS
TIME
期刊
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IF:
5.4
论文数:
9.0K
被引数:
3.3W
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