Single Cell Analysis

• Autore: Santra Tuhin Subhra
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (254 p.)
• Soggetto topico: Biology, life sciences; Research & information: general
• Soggetto non controllato: artificial intelligence; biomedical applications; cardiomyocytes; cell heterogeneity; cholestatic liver injury; circulating tumor cells; cluster analysis; commercialization; conventional approaches; copy number alterations; diagnostics; electrophysiological recording; genome; hepatocyte heterogeneity; immunofluorescence; immunohistochemistry; infectious disease; inflammation; isolation; laser microdissection; liver tissue repair; localized high-risk prostate cancer; mapping; micro/nanofluidic devices; microelectrode array; microfluidic technologies; microfluidics; monoclonal cell lines; n/a; non-small cell lung cancer; pathophysiology; precision medicine; protein; protein characterization; proteomics; RNA velocity; sarcoma; seurat; single cell; single cell mass cytometry; single cell proteomics; single-cell analysis; single-cell cloning; single-cell RNA sequencing; single-neuron models; snRNA-seq; somatic single nucleotide variants; therapeutics; therapy; three-dimensional (3-D) telomere profiling; three-dimensional tissue culture; total mRNA level; transcriptome size; transfection; whole-exome genome sequencing
• Persona (resp. second.): TsengFan-Gang; SantraTuhin Subhra
• Sommario/riassunto: 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.
• Titolo autorizzato: Single Cell Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557388703321
• Lo trovi qui: Univ. Federico II