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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

The DNA methylation landscape in cancer.

TL;DR: The distribution of DNA methylation and DNA hydroxymethylation in different genomic contexts, first in normal cells, and how this is altered in cancer is described.
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Gene expression profiling of paired ovarian tumors obtained prior to and following adjuvant chemotherapy: Molecular signatures of chemoresistant tumors

TL;DR: The data suggest that intrinsic and acquired chemoresistant phenotypes of post-CT tumors may be attributed to the combined action of different factors implicated in mechanisms of chemoresistance, tumor invasion/progression and control of cell proliferation.
Journal ArticleDOI

Defining the carrier proteome limit for single-cell proteomics.

TL;DR: It is demonstrated that an increase in carrier proteome level requires a concomitant increase in the number of ions sampled to maintain quantitative accuracy, and is introduced Single-Cell Proteomics Companion, a software tool that enables rapid evaluation of single-cell proteomic data and recommends instrument and data analysis parameters for improved data quality.
Journal ArticleDOI

CoBATCH for High-Throughput Single-Cell Epigenomic Profiling

TL;DR: CoBATCH, combinatorial barcoding and targeted chromatin release, is broadly applicable and easily deployable for single-cell profiling of protein-DNA interactions and allows for efficient deciphering of epigenetic heterogeneity of cell populations and cis-regulatory mechanisms.
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