Results 21 to 30 of about 81,661 (282)

Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy [PDF]

, 2020
Chimeric antigen receptor (CAR) T-cell therapy has produced remarkable anti-tumor responses in patients with B-cell malignancies. However, clonal kinetics and transcriptional programs that regulate the fate of CAR-T cells after infusion remain poorly ...
Adair, Jennifer E., DeBerg, Hannah A., Enstrom, Mark R., Gersuk, Vivian, Gottardo, Raphaël, Hanafi, Laïla-Aïcha, Hawkins, Reed, Kiem, Hans-Peter, Linsley, Peter S., Maloney, David G., Pande, Dnyanada, Riddell, Stanley R., Sheih, Alyssa, Turtle, Cameron J., Voillet, Valentin, Wohlfahrt, Martin E., Yajima, Masanao   +16 more
core   +1 more source

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

Frontiers in Genetics, 2019
Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene expression at single-cell resolution, which greatly revolutionizes transcriptomic studies.
Geng Chen, Baitang Ning, Tieliu Shi
doaj   +1 more source

Applications of single-cell RNA sequencing in atopic dermatitis and psoriasis

Frontiers in Immunology, 2022
Single-cell RNA sequencing (scRNA-seq) is a novel technology that characterizes molecular heterogeneity at the single-cell level. With the development of more automated, sensitive, and cost-effective single-cell isolation methods, the sensitivity and ...
Dengmei Xia, Dengmei Xia, Dengmei Xia, Yiyi Wang, Yiyi Wang, Yue Xiao, Yue Xiao, Wei Li, Wei Li   +8 more
doaj   +1 more source

Contrastive self-supervised clustering of scRNA-seq data [PDF]

BMC Bioinformatics, 2021
Abstract Background Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to study transcriptional activity at the cellular level. Clustering analysis is routinely performed on scRNA-seq data to explore, recognize or discover underlying cell identities.
Ciortan, Madalina, Defrance, Matthieu
openaire   +4 more sources

Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives

Computational and Structural Biotechnology Journal, 2020
The increasing application of single-cell RNA sequencing (scRNA-seq) technology in life science and biomedical research has significantly increased our understanding of the cellular heterogeneities in immunology, oncology and developmental biology.
Geyang Luo, Qian Gao, Shuye Zhang, Bo Yan   +3 more
doaj   +1 more source

Trajectory-based differential expression analysis for single-cell sequencing data [PDF]

, 2020
Trajectory inference has radically enhanced single-cell RNA-seq research by enabling the study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital to discover genes that are (i) associated with the lineages in the ...
Cannoodt, Robrecht, Clement, Lieven, Dudoit, Sandrine, Roux de Bézieux, Hector, Saelens, Wouter, Saeys, Yvan, Street, Kelly, Van den Berge, Koen   +7 more
core   +2 more sources

Probing Plasmodium falciparum sexual commitment at the single-cell level [PDF]

, 2018
Background: Malaria parasites go through major transitions during their complex life cycle, yet the underlying differentiation pathways remain obscure.
Birren, Bruce W., Brancucci, Nicolas M.B., De Niz, Mariana, Marti, Matthias, Neafsey, Daniel E., Ravel, Deepali, Sollelis, Lauriane, Straub, Timothy J., Voss, Till S.   +8 more
core   +4 more sources

Can single‐cell RNA sequencing reshape the clinical biochemistry of haematology? New clusters of circulating blood cells

Clinical and Translational Discovery, 2022
scRNA‐seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision‐making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome.
Hao Fang, Yiming Zeng, Lianzhong Zhang, Chengshui Chen, Charles A. Powell, Xiangdong Wang   +5 more
doaj   +1 more source

scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data

BMC Genomics, 2019
Background Single-cell RNA-sequencing (scRNA-seq) is fast becoming a powerful tool for profiling genome-scale transcriptomes of individual cells and capturing transcriptome-wide cell-to-cell variability.
Wenbin Ye, Guoli Ji, Pengchao Ye, Yuqi Long, Xuesong Xiao, Shuchao Li, Yaru Su, Xiaohui Wu   +7 more
doaj   +1 more source

Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity

Frontiers in Genetics, 2022
Single-cell RNA-sequencing (scRNA-seq) technologies enable the measurements of gene expressions in individual cells, which is helpful for exploring cancer heterogeneity and precision medicine.
Meng Huang, Xiucai Ye, Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Tetsuya Sakurai   +5 more
doaj   +1 more source