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Journal ArticleDOI

Inhibitory CD161 receptor identified in glioma-infiltrating T cells by single-cell analysis

TLDR
In this paper, single-cell RNA sequencing (RNA-seq) was used to chart the gene expression and clonal landscape of tumor-infiltrating T cells across 31 patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma and IDH mutant glioma.
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This article is published in Cell.The article was published on 2021-03-04. It has received 160 citations till now. The article focuses on the topics: Cytotoxic T cell & KLRB1.

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Glioma targeted therapy: insight into future of molecular approaches

TL;DR: In this article , the authors discuss novel feasible or potential targets for treatment of gliomas, especially IDH-wild type glioblastoma, and evaluate the feasibility of targeted therapy with the corresponding biomarkers for effective personalized treatment options.
Journal ArticleDOI

Glioma targeted therapy: insight into future of molecular approaches

TL;DR: In this article , the authors discuss novel feasible or potential targets for treatment of gliomas, especially IDH-wild type glioblastoma, and evaluate the feasibility of targeted therapy with the corresponding biomarkers for effective personalized treatment options.
Journal ArticleDOI

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

TL;DR: 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.
References
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Journal ArticleDOI

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
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Fast unfolding of communities in large networks

TL;DR: In this paper, the authors proposed a simple method to extract the community structure of large networks based on modularity optimization, which is shown to outperform all other known community detection methods in terms of computation time.
Journal ArticleDOI

Integrating single-cell transcriptomic data across different conditions, technologies, and species.

TL;DR: An analytical strategy for integrating scRNA-seq data sets based on common sources of variation is introduced, enabling the identification of shared populations across data sets and downstream comparative analysis.
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