Results 11 to 20 of about 3,157,298 (256)
Microfluidic single‐cell multiomics analysis
View, 2023 Cellular heterogeneity is essential to biological processes, such as embryonic development, cell differentiation, and the progression of disease. Recent years have seen the development of a variety of single‐cell multiomics technologies that systemically
Xing Xu +8 more
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Single‐cell proteomic analysis
WIREs Mechanisms of Disease, 2020 AbstractThe ability to comprehensively profile proteins in every individual cell of complex biological systems is crucial to advance our understanding of normal physiology and disease pathogenesis. Conventional bulk cell experiments mask the cell heterogeneity in the population, while the single‐cell imaging methods suffer from the limited multiplexing
Thai Pham +3 more
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Single-cell protein analysis [PDF]
Current Opinion in Biotechnology, 2012 Heterogeneity of cellular systems has been widely recognized but only recently have tools become available that allow probing of genes and proteins in single cells to understand it. While the advancement in single cell genomic analysis has been greatly aided by the power of amplification techniques (e.g.
Meiye, Wu, Anup K, Singh
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Microfluidic Compartmentalization Platforms for Single Cell Analysis
Biosensors, 2022 Many cellular analytical technologies measure only the average response from a cell population with an assumption that a clonal population is homogenous.
Xuhao Luo +3 more
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Hierarchical mechanism of amino acid sensing by the T-box riboswitch
Nature Communications, 2018 Riboswitches on 5′ ends of mRNAs are important for bacterial gene regulation. Here the authors probe the mechanism of a tRNA aminoacylation sensing T-box riboswitch using single-molecule fluorescence microscopy to characterize dynamic solution ...
Krishna C. Suddala +5 more
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Microfluidics-Based Single-Cell Research for Intercellular Interaction
Frontiers in Cell and Developmental Biology, 2021 Intercellular interaction between cell–cell and cell–ECM is critical to numerous biology and medical studies, such as stem cell differentiation, immunotherapy and tissue engineering. Traditional methods employed for delving into intercellular interaction
Long Pang +10 more
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Transcriptome Analysis of Single Cells [PDF]
Journal of Visualized Experiments, 2011 Many gene expression analysis techniques rely on material isolated from heterogeneous populations of cells from tissue homogenates or cells in culture. In the case of the brain, regions such as the hippocampus contain a complex arrangement of different cell types, each with distinct mRNA profiles.
Morris, Jacqueline +2 more
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Microfluidic Single-Cell Manipulation and Analysis: Methods and Applications
Micromachines, 2019 In a forest of a hundred thousand trees, no two leaves are alike. Similarly, no two cells in a genetically identical group are the same. This heterogeneity at the single-cell level has been recognized to be vital for the correct interpretation of ...
Tao Luo, Lei Fan, Rong Zhu, Dong Sun
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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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Molecular Plant-Microbe Interactions, 2004 Resistance and susceptibility in barley to the powdery mildew fungus (Blumeria graminis f. sp. hordei) is determined at the single-cell level. Even in genetically compatible interactions, attacked plant epidermal cells defend themselves against attempted
Torben Gjetting +3 more
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