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Open AccessJournal ArticleDOI

Applications of single-cell sequencing in cancer research: progress and perspectives

TLDR
The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and underlying mechanisms of tumor biological behaviors as mentioned in this paper.
Abstract
Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions. In this review, we summarize emerging single-cell sequencing technologies and recent cancer research progress obtained by single-cell sequencing, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and the underlying mechanisms of tumor biological behaviors. Overall, the prospects of single-cell sequencing in facilitating diagnosis, targeted therapy and prognostic prediction among a spectrum of tumors are bright. In the near future, advances in single-cell sequencing will undoubtedly improve our understanding of the biological characteristics of tumors and highlight potential precise therapeutic targets for patients.

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Journal ArticleDOI

Tumor Heterogeneity and Consequences for Bladder Cancer Treatment

TL;DR: In this paper, the authors assess the importance and regulatory mechanisms governing epithelial tumor heterogeneity (EpTH) in bladder cancer and the impact on treatment response and conclude that changes in these subpopulations impact the tumor microenvironment including the extent of immune cell infiltration and response to immunotherapy.
Journal ArticleDOI

Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review

TL;DR: In this article, the authors classify the development of biomolecules into three generations: the first generation allows to sequence small DNA fragments, the second generation increases throughput, reducing turnaround and pricing, and the third generation is currently pushing technology to its limits, being able to sequence single molecules, without previous amplification, which was previously impossible.
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Spatial multi-omics analyses of the tumor immune microenvironment

TL;DR: In this article , a review of cutting-edge spatial multi-omics techniques, their application to study of the tumor-immune microenvironment, and remaining technical challenges is presented, and the data obtained from these methods has been combined with immunohistochemistry and multiparameter analysis to yield markers of cancer progression.
Journal ArticleDOI

Spatial Transcriptomics for Tumor Heterogeneity Analysis

TL;DR: The applications of spatial transcriptomics in the study of tumor heterogeneity, discovery of novel spatial-dependent mechanisms, tumor immune micro environment, and matrix microenvironment, as well as the pathological classification and prognosis of cancer are reviewed.
Journal ArticleDOI

Evolution and Targeting of Myeloid Suppressor Cells in Cancer: A Translational Perspective

TL;DR: This work reviews the current knowledge on the events governing protumoral myelopoiesis, analyzing the mechanisms that drive the expansion of major myeloid subsets, as well as their functional properties, and highlighting recent translational strategies for clinical developments.
References
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Journal ArticleDOI

Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position

TL;DR: The feasibility of analyzing an individual's epigenome on a timescale compatible with clinical decision-making is demonstrated and classes of DNA-binding factors that strictly avoided, could tolerate or tended to overlap with nucleosomes are discovered.
Journal ArticleDOI

Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells

TL;DR: This work has developed a high-throughput droplet-microfluidic approach for barcoding the RNA from thousands of individual cells for subsequent analysis by next-generation sequencing, which shows a surprisingly low noise profile and is readily adaptable to other sequencing-based assays.
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