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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| Natura: | Online |
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| Lingua: | inglese |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Soggetti: | |
| Accesso online: | ONIX_20220111_9783036506289_102 |
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| _version_ | 1869514329885245440 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76366 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-763662024-03-28T03:33:10Z Single Cell Analysis Santra, Tuhin Subhra Tseng, Fan-Gang 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences 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. 2022-01-11T13:30:02Z 2022-01-11T13:30:02Z 2021 book ONIX_20220111_9783036506289_102 9783036506289 9783036506296 https://directory.doabooks.org/handle/20.500.12854/76366 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3791 https://mdpi.com/books/pdfview/book/3791 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0629-6 10.3390/books978-3-0365-0629-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036506289 9783036506296 254 Basel, Switzerland open access |
| spellingShingle | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Single Cell Analysis |
| title | Single Cell Analysis |
| title_full | Single Cell Analysis |
| title_fullStr | Single Cell Analysis |
| title_full_unstemmed | Single Cell Analysis |
| title_short | Single Cell Analysis |
| title_sort | single cell analysis |
| topic | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20220111_9783036506289_102 |