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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
Main Author: Santra, Tuhin Subhra
Other Authors: Tseng, Fan-Gang
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Immunofluorescence
Single-cell Analysis
Hepatocyte Heterogeneity
Localized High-risk Prostate Cancer
Inflammation
Copy Number Alterations
Protein
N/a
Mapping
Conventional Approaches
Three-dimensional Tissue Culture
Single Cell Mass Cytometry
Liver Tissue Repair
Diagnostics
Therapeutics
Single-neuron Models
Microfluidics
Biomedical Applications
Total Mrna Level
Cardiomyocytes
Pathophysiology
Laser Microdissection
Cell Heterogeneity
Snrna-seq
Commercialization
Cholestatic Liver Injury
Rna Velocity
Single-cell Rna Sequencing
Therapy
Non-small Cell Lung Cancer
Seurat
Three-dimensional (3-d) Telomere Profiling
Research & Information: General / Bicssc
Somatic Single Nucleotide Variants
Transcriptome Size
Single Cell
Biology, Life Sciences / Bicssc
Protein Characterization
Proteomics
Micro/nanofluidic Devices
Isolation
Infectious Disease
Artificial Intelligence
Sarcoma
Monoclonal Cell Lines
Single-cell Cloning
Cluster Analysis
Transfection
Microelectrode Array
Electrophysiological Recording
Circulating Tumor Cells
Single Cell Proteomics
Precision Medicine
Immunohistochemistry
Microfluidic Technologies
Whole-exome Genome Sequencing
Genome
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (254 p.)
ISBN:9783036506296
books978-3-0365-0629-6
9783036506289

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