RNA sequencing: new technologies and applications in cancer research.
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IF: 23.168
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Cited by: 166
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Abstract

Over the past few decades, RNA sequencing has significantly progressed, becoming a paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing to single-molecular, single-cell and spatial transcriptome approaches has enabled increasingly accurate, individual cell resolution incorporated with spatial information. Cancer, a major malignant and heterogeneous lethal disease, remains an enormous challenge in medical research and clinical treatment. As a vital tool, RNA sequencing has been utilized in many aspects of cancer research and therapy, including biomarker discovery and characterization of cancer heterogeneity and evolution, drug resistance, cancer immune microenvironment and immunotherapy, cancer neoantigens and so on. In this review, the latest studies on RNA sequencing technology and their applications in cancer are summarized, and future challenges and opportunities for RNA sequencing technology in cancer applications are discussed.

Keywords

SPLiT-seq
Gene Expression
Omics
ISS
Slide-seq
Spatial Transcriptomics
FISSEQ
LCM-seq
CSOmap
Application
Cancer
RNA sequencing

MeSH terms

Animals
Biomarkers, Tumor
Gene Expression Profiling
Genomics
High-Throughput Nucleotide Sequencing
Humans
Neoplasms
RNA
Sequence Analysis, RNA
Transcriptome
Tumor Microenvironment

Authors

Hong, Mingye
Tao, Shuang
Zhang, Ling
Diao, Li-Ting
Huang, Xuanmei
Huang, Shaohui
Xie, Shu-Juan
Xiao, Zhen-Dong
Zhang, Hua

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