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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

Myeloid-derived suppressor cells: an emerging target for anticancer immunotherapy

TL;DR: In this paper , the classification and inhibitory function of myeloid-derived suppressor cells (MDSCs) and the crosstalk between MDSCs and other myeloids are discussed.
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Reshaping the systemic tumor immune environment (STIE) and tumor immune microenvironment (TIME) to enhance immunotherapy efficacy in solid tumors

TL;DR: In this paper , a review of single-cell transcriptomics and spatial transcriptomics for the studies of the systemic tumor immune microenvironment (STIE) and their interactions is presented, which may reveal heterogeneity in immunotherapy responses as well as the dynamic changes essential for the treatment effect.
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Single cell cancer epigenetics.

TL;DR: In this paper , a review of single cell-sequencing methodologies for cancer is presented, focusing on different aspects of epigenetics (DNA methylation, chromatin accessibility, histone modifications, DNA-protein interactions, and chromatin 3D architecture) at the single cell level.
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The heterogeneous immune landscape between lung adenocarcinoma and squamous carcinoma revealed by single-cell RNA sequencing

TL;DR: In this article , the authors performed scRNA-seq on 72,475 immune cells from 40 samples of tumor and matched adjacent normal tissues spanning 19 NSCLC patients, and drew a systematic immune cell transcriptome atlas.
Journal ArticleDOI

Single-cell and spatially resolved analysis uncovers cell heterogeneity of breast cancer

TL;DR: In this paper , the authors combine single-nucleus RNA sequencing (snRNA-seq) with a microarray-based spatial transcriptomics (ST) to identify cell populations and their spatial distribution in breast cancer tissues, and find that these subclusters are mapped in distinct tissue regions, where discrepant enrichment of stromal cell types are observed.
References
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Journal ArticleDOI

Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition

TL;DR: A role for EMT in the blood-borne dissemination of human breast cancer is supported as both single cells and multicellular clusters, expressing known EMT regulators, including transforming growth factor (TGF)–β pathway components and the FOXC1 transcription factor.
Journal ArticleDOI

Simultaneous epitope and transcriptome measurement in single cells.

TL;DR: In this article, a method called cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) is proposed, in which oligonucleotide-labeled antibodies are used to integrate cellular protein and transcriptome measurements into an efficient, single-cell readout.
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Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis

TL;DR: Using mouse models with tagged mammary tumors, it is demonstrated that CTC clusters arise from oligoclonal tumor cell groupings and not from intravascular aggregation events, and though rare in the circulation, they greatly contribute to the metastatic spread of cancer.
Journal ArticleDOI

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

TL;DR: Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells to improve detection, coverage, bias and accuracy.
Journal ArticleDOI

A restricted cell population propagates glioblastoma growth after chemotherapy

TL;DR: A relatively quiescent subset of endogenous glioma cells, with properties similar to those proposed for cancer stem cells, is responsible for sustaining long-term tumour growth through the production of transient populations of highly proliferative cells.
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