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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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04470naaaa2200985uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_76366 | ||
| 005 | 20220111 | ||
| 020 | |a books978-3-0365-0629-6 | ||
| 020 | |a 9783036506289 | ||
| 020 | |a 9783036506296 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-0629-6 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 072 | 7 | |a PS |2 bicssc | |
| 100 | 1 | |a Santra, Tuhin Subhra |4 edt | |
| 700 | 1 | |a Tseng, Fan-Gang |4 edt | |
| 700 | 1 | |a Santra, Tuhin Subhra |4 oth | |
| 700 | 1 | |a Tseng, Fan-Gang |4 oth | |
| 245 | 1 | 0 | |a Single Cell Analysis |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (254 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Biology, life sciences |2 bicssc | |
| 653 | |a single-cell RNA sequencing | ||
| 653 | |a cholestatic liver injury | ||
| 653 | |a hepatocyte heterogeneity | ||
| 653 | |a inflammation | ||
| 653 | |a liver tissue repair | ||
| 653 | |a single cell mass cytometry | ||
| 653 | |a single cell proteomics | ||
| 653 | |a non-small cell lung cancer | ||
| 653 | |a three-dimensional tissue culture | ||
| 653 | |a snRNA-seq | ||
| 653 | |a RNA velocity | ||
| 653 | |a cluster analysis | ||
| 653 | |a cardiomyocytes | ||
| 653 | |a seurat | ||
| 653 | |a cell heterogeneity | ||
| 653 | |a sarcoma | ||
| 653 | |a single-cell analysis | ||
| 653 | |a total mRNA level | ||
| 653 | |a transcriptome size | ||
| 653 | |a proteomics | ||
| 653 | |a immunofluorescence | ||
| 653 | |a immunohistochemistry | ||
| 653 | |a protein | ||
| 653 | |a genome | ||
| 653 | |a biomedical applications | ||
| 653 | |a commercialization | ||
| 653 | |a protein characterization | ||
| 653 | |a conventional approaches | ||
| 653 | |a microfluidic technologies | ||
| 653 | |a single cell | ||
| 653 | |a infectious disease | ||
| 653 | |a pathophysiology | ||
| 653 | |a therapeutics | ||
| 653 | |a diagnostics | ||
| 653 | |a microfluidics | ||
| 653 | |a single-cell cloning | ||
| 653 | |a monoclonal cell lines | ||
| 653 | |a single-neuron models | ||
| 653 | |a mapping | ||
| 653 | |a electrophysiological recording | ||
| 653 | |a isolation | ||
| 653 | |a therapy | ||
| 653 | |a micro/nanofluidic devices | ||
| 653 | |a microelectrode array | ||
| 653 | |a transfection | ||
| 653 | |a artificial intelligence | ||
| 653 | |a localized high-risk prostate cancer | ||
| 653 | |a circulating tumor cells | ||
| 653 | |a three-dimensional (3-D) telomere profiling | ||
| 653 | |a laser microdissection | ||
| 653 | |a whole-exome genome sequencing | ||
| 653 | |a somatic single nucleotide variants | ||
| 653 | |a copy number alterations | ||
| 653 | |a precision medicine | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3791 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76366 |7 0 |z DOAB: description of the publication |