Results 11 to 20 of about 667,361 (260)

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 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, Dan Wang, Miao Peng, Le Tang, Jiawei Ouyang, Fang Xiong, Can Guo, Yanyan Tang, Yujuan Zhou, Qianjin Liao, Xu Wu, Hui Wang, Jianjun Yu, Yong Li, Xiaoling Li, Guiyuan Li, Zhaoyang Zeng, Yixin Tan, Wei Xiong   +18 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, Weifeng Tang, Mihui Li, Mihui Li, Fangzhou Teng, Fangzhou Teng, Jie Cui, Jie Cui, Jingcheng Dong, Jingcheng Dong, Wenqian Wang, Wenqian Wang   +11 more
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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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Editorial: Deciphering cardiovascular cell heterogeneity with single cell RNA sequencing [PDF]

Frontiers in Medicine
Paolo Madeddu, Ngan F. Huang, Ngan F. Huang, Ngan F. Huang, Ngan F. Huang   +4 more
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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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Advances in application of single-cell RNA sequencing in cardiovascular research

Frontiers in Cardiovascular Medicine, 2022
Single-cell RNA sequencing (scRNA-seq) provides high-resolution information on transcriptomic changes at the single-cell level, which is of great significance for distinguishing cell subtypes, identifying stem cell differentiation processes, and ...
Yue Hu, Ying Zhang, Yutong Liu, Yan Gao, Tiantian San, Xiaoying Li, Xiaoying Li, Sensen Song, Binglong Yan, Zhuo Zhao, Zhuo Zhao   +10 more
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Transcriptomics and single‐cell RNA‐sequencing [PDF]

Respirology, 2018
ABSTRACTThe past four decades have yielded advances in molecular biology allowing detailed characterization of the cellular genome and the transcriptome: the complete set of RNA species transcribed by a cell or tissue. Through transcriptomics and next‐generation sequencing, we can now attain an unprecedented level of detail in understanding cellular ...
Daniel C. Chambers, Alan M. Carew, Samuel W. Lukowski, Joseph E. Powell   +3 more
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Single-cell RNA sequencing of human kidney [PDF]

Scientific Data, 2020
AbstractA comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension ...
Liao, Jinling, Yu, Zhenyuan, Chen, Yang, Bao, Mengying, Zou, Chunlin, Zhang, Haiying, Liu, Deyun, Li, Tianyu, Zhang, Qingyun, Li, Jiaping, Cheng, Jiwen, Mo, Zengnan   +11 more
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Recent advances in deciphering hippocampus complexity using single-cell transcriptomics

Neurobiology of Disease, 2023
Single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) technologies have emerged as revolutionary and powerful tools, which have helped in achieving significant progress in biomedical research over the last decade.
Chenxu Chang, Hongyan Zuo, Yang Li
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