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Single‐cell RNA sequencing in cancer research [PDF]
Journal of Experimental & Clinical Cancer Research, 2021 Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell ...
Yijie Zhang +18 more
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Clinical Perspectives of Single-Cell RNA Sequencing [PDF]
Biomolecules, 2021 The ability of single-cell genomics to resolve cellular heterogeneity is highly appreciated in cancer and is being exploited for precision medicine. In the recent decade, we have witnessed the incorporation of cancer genomics into the clinical decision ...
Nayoung Kim, Hye Hyeon Eum, Hae-Ock Lee
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Single-Cell RNA Sequencing in Parkinson’s Disease [PDF]
Biomedicines, 2021 Single-cell and single-nucleus RNA sequencing (sc/snRNA-seq) technologies have enhanced the understanding of the molecular pathogenesis of neurodegenerative disorders, including Parkinson’s disease (PD).
Shi-Xun Ma, Su Bin Lim
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Single-cell RNA-sequencing of the brain [PDF]
Clinical and Translational Medicine, 2017 Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic, transcriptomic and epigenomic landscapes of cells within organs.
Raquel Cuevas-Diaz Duran +2 more
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Single-cell RNA sequencing in orthopedic research
Bone Research, 2023 Although previous RNA sequencing methods have been widely used in orthopedic research and have provided ideas for therapeutic strategies, the specific mechanisms of some orthopedic disorders, including osteoarthritis, lumbar disc herniation, rheumatoid ...
Tao Wang +5 more
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Single-cell RNA-sequencing in asthma research
Frontiers in Immunology, 2022 Asthma is a complex and heterogeneous disease with multicellular involvement, and knowledge gaps remain in our understanding of the pathogenesis of asthma. Efforts are still being made to investigate the immune pathogenesis of asthma in order to identify
Weifeng Tang +11 more
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Simulating multiple faceted variability in single cell RNA sequencing [PDF]
Nature Communications, 2019 Simulated single cell RNA sequencing data is useful for method development and comparison. Here, the authors developed SymSim, a simulator that explicitly models the main factors of variation in single cell data.
Xiuwei Zhang, Chenling Xu, Nir Yosef
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scDA: Single cell discriminant analysis for single-cell RNA sequencing data
Computational and Structural Biotechnology Journal, 2021 Single-cell RNA-sequencing (scRNA-seq) techniques provide unprecedented opportunities to investigate phenotypic and molecular heterogeneity in complex biological systems.
Qianqian Shi +4 more
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From bulk, single-cell to spatial RNA sequencing [PDF]
International Journal of Oral Science, 2021 RNA sequencing (RNAseq) can reveal gene fusions, splicing variants, mutations/indels in addition to differential gene expression, thus providing a more complete genetic picture than DNA sequencing.
Xinmin Li, Cun-Yu Wang
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Single-cell RNA sequencing technologies and bioinformatics pipelines
Experimental and Molecular Medicine, 2018 Genetic data: Zooming in on single cells Showing which genes are expressed, or switched on, in individual cells may help to reveal the first signs of disease.
Byungjin Hwang, Ji Hyun Lee, Duhee Bang
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