Single Cell Analysis

Single Cell Analysis

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 millio...

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Bibliographic Details
Other Authors: Santra, Tuhin Subhra (Editor), Tseng, Fan-Gang (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Research & information: general
Biology, life sciences
single-cell RNA sequencing
cholestatic liver injury
hepatocyte heterogeneity
inflammation
liver tissue repair
single cell mass cytometry
single cell proteomics
non-small cell lung cancer
three-dimensional tissue culture
snRNA-seq
RNA velocity
cluster analysis
cardiomyocytes
seurat
cell heterogeneity
sarcoma
single-cell analysis
total mRNA level
transcriptome size
proteomics
immunofluorescence
immunohistochemistry
protein
genome
biomedical applications
commercialization
protein characterization
conventional approaches
microfluidic technologies
single cell
infectious disease
pathophysiology
therapeutics
diagnostics
microfluidics
single-cell cloning
monoclonal cell lines
single-neuron models
mapping
electrophysiological recording
isolation
therapy
micro/nanofluidic devices
microelectrode array
transfection
artificial intelligence
localized high-risk prostate cancer
circulating tumor cells
three-dimensional (3-D) telomere profiling
laser microdissection
whole-exome genome sequencing
somatic single nucleotide variants
copy number alterations
precision medicine
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Description
Summary: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.
Physical Description:1 electronic resource (254 p.)
ISBN:books978-3-0365-0629-6
9783036506289
9783036506296
Access:Open Access

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