TY - BOOK ID - 146026573 TI - Single Cell Analysis AU - Santra, Tuhin Subhra AU - Tseng, Fan-Gang PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - Biology, life sciences KW - single-cell RNA sequencing KW - cholestatic liver injury KW - hepatocyte heterogeneity KW - inflammation KW - liver tissue repair KW - single cell mass cytometry KW - single cell proteomics KW - non-small cell lung cancer KW - three-dimensional tissue culture KW - snRNA-seq KW - RNA velocity KW - cluster analysis KW - cardiomyocytes KW - seurat KW - cell heterogeneity KW - sarcoma KW - single-cell analysis KW - total mRNA level KW - transcriptome size KW - proteomics KW - immunofluorescence KW - immunohistochemistry KW - protein KW - genome KW - biomedical applications KW - commercialization KW - protein characterization KW - conventional approaches KW - microfluidic technologies KW - single cell KW - infectious disease KW - pathophysiology KW - therapeutics KW - diagnostics KW - microfluidics KW - single-cell cloning KW - monoclonal cell lines KW - single-neuron models KW - mapping KW - electrophysiological recording KW - isolation KW - therapy KW - micro/nanofluidic devices KW - microelectrode array KW - transfection KW - artificial intelligence KW - localized high-risk prostate cancer KW - circulating tumor cells KW - three-dimensional (3-D) telomere profiling KW - laser microdissection KW - whole-exome genome sequencing KW - somatic single nucleotide variants KW - copy number alterations KW - precision medicine KW - single-cell RNA sequencing KW - cholestatic liver injury KW - hepatocyte heterogeneity KW - inflammation KW - liver tissue repair KW - single cell mass cytometry KW - single cell proteomics KW - non-small cell lung cancer KW - three-dimensional tissue culture KW - snRNA-seq KW - RNA velocity KW - cluster analysis KW - cardiomyocytes KW - seurat KW - cell heterogeneity KW - sarcoma KW - single-cell analysis KW - total mRNA level KW - transcriptome size KW - proteomics KW - immunofluorescence KW - immunohistochemistry KW - protein KW - genome KW - biomedical applications KW - commercialization KW - protein characterization KW - conventional approaches KW - microfluidic technologies KW - single cell KW - infectious disease KW - pathophysiology KW - therapeutics KW - diagnostics KW - microfluidics KW - single-cell cloning KW - monoclonal cell lines KW - single-neuron models KW - mapping KW - electrophysiological recording KW - isolation KW - therapy KW - micro/nanofluidic devices KW - microelectrode array KW - transfection KW - artificial intelligence KW - localized high-risk prostate cancer KW - circulating tumor cells KW - three-dimensional (3-D) telomere profiling KW - laser microdissection KW - whole-exome genome sequencing KW - somatic single nucleotide variants KW - copy number alterations KW - precision medicine UR - https://www.unicat.be/uniCat?func=search&query=sysid:146026573 AB - Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits. ER -