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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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Posted ContentDOI

Systematic analysis of apoptosis-related genes in the prognosis of Lung squamous cell carcinoma: a combined single-cell RNA sequencing study

TL;DR: Wang et al. as discussed by the authors identified apoptosis-related genes that are associated with prognosis in lung squamous cell carcinoma (LUSC) and constructed a risk model based on these prognostic genes that accurately predicts the prognosis of LUSC patients.
Journal ArticleDOI

A combined analysis of bulk and single-cell sequencing data reveals metabolic enzyme, pyruvate dehydrogenase E1 subunit beta (PDHB), as a prediction biomarker for the tumor immune response and immunotherapy

TL;DR: Wang et al. as mentioned in this paper found that PDHB was aberrantly expressed in multiple human cancers and is associated with patients' clinical stage, such as kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinomas (KIRP), and evaluated the mutation profiles of PDHB in pan-cancer, and showed its roles on the patients' prognosis.
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The Brain Pre-Metastatic Niche: Biological and Technical Advancements

TL;DR: A review of the brain pre-metastatic and metastasis research can be found in this article , where the authors discuss existing and emerging methods to further explore the field. But, the mechanisms governing the spread of metastasis to the brain remain elusive.
Journal ArticleDOI

Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders

TL;DR: In this paper , the authors present the challenges facing AI in hematology, including limited databases, lack of validation and standardization, systematic errors, and bias, and the processing of large amounts of patient data and personal information.
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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