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Single-Cell Sequencing for Precise Cancer Research: Progress and Prospects

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TLDR
The current methods for single cancer-cell sequencing are discussed, with a strong focus on those practically used or potentially valuable in cancer research, including single-cell isolation, whole genome and transcriptome amplification, epigenome profiling, multi-dimensional sequencing, and next-generation sequencing and analysis.
Abstract
Advances in genomic technology have enabled the faithful detection and measurement of mutations and the gene expression profile of cancer cells at the single-cell level. Recently, several single-cell sequencing methods have been developed that permit the comprehensive and precise analysis of the cancer-cell genome, transcriptome, and epigenome. The use of these methods to analyze cancer cells has led to a series of unanticipated discoveries, such as the high heterogeneity and stochastic changes in cancer-cell populations, the new driver mutations and the complicated clonal evolution mechanisms, and the novel identification of biomarkers of variant tumors. These methods and the knowledge gained from their utilization could potentially improve the early detection and monitoring of rare cancer cells, such as circulating tumor cells and disseminated tumor cells, and promote the development of personalized and highly precise cancer therapy. Here, we discuss the current methods for single cancer-cell sequencing, with a strong focus on those practically used or potentially valuable in cancer research, including single-cell isolation, whole genome and transcriptome amplification, epigenome profiling, multi-dimensional sequencing, and next-generation sequencing and analysis. We also examine the current applications, challenges, and prospects of single cancer-cell sequencing.

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Journal ArticleDOI

Smart-seq2 for sensitive full-length transcriptome profiling in single cells

TL;DR: Smart-seq2 as discussed by the authors improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells, which have improved detection, coverage, bias and accuracy compared to Smart-seq libraries and are generated with off-the-shelf reagents at lower cost.
Journal ArticleDOI

Single Cell Isolation and Analysis.

TL;DR: This review focuses on the recent developments in single cell isolation and analysis, which include technologies, analyses and main applications and summarizes the historical background, limitations, applications, and potential of singlecell isolation technologies.
Journal ArticleDOI

Molecular heterogeneity in breast cancer: State of the science and implications for patient care.

TL;DR: Current information about genomic variability within primary breast carcinomas, between primary tumors and regional/distant metastases, among circulating tumor cells and disseminated tumor cells, and in cell-free nucleic acids in circulation are presented.
Journal ArticleDOI

Mechanisms that drive inflammatory tumor microenvironment, tumor heterogeneity, and metastatic progression

TL;DR: This review summarizes recent progress, mechanistic understanding, and options for metastasis-targeted therapy.
Journal ArticleDOI

High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery

TL;DR: Compared with the traditional RNA-seq, scRNA-seq has higher accuracy and efficiency, especially the single-cell level of gene expression pattern analysis can provide more information for drug and biomarker discovery, therefore, (sc)RNA- sequencing has broader application prospects, especially in the field of drug discovery.
References
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Journal ArticleDOI

Hallmarks of cancer: the next generation.

TL;DR: Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer.
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