Techniques in Cell Cycle Analysis:
Quantification of the proliferative characteristics of normal and malignant cells has been of interest to oncolo gists and cancer biologists for almost three decades. This interest stems from (a) the fact that cancer is a disease of uncontrolled proliferation, (b) the finding that many of the commo...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Totowa, NJ
Humana Press
1987
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| Schlagworte: | |
| Online-Zugang: | UBR01 Volltext |
| Zusammenfassung: | Quantification of the proliferative characteristics of normal and malignant cells has been of interest to oncolo gists and cancer biologists for almost three decades. This interest stems from (a) the fact that cancer is a disease of uncontrolled proliferation, (b) the finding that many of the commonly used anticancer agents are preferentially toxic to cells that are actively proliferating, and (c) the observa tion that significant differences in proliferation characteristics exist between normal and malignant cells. Initially, cell cycle analysis was pursued enthusiastically in the hope of gener ating information useful for the development of rational cancer therapy strategies; for example, by allowing identi fication of rapidly proliferating tumors against which cell cycle-specific agents could be used with maximum effec tiveness and by allowing rational scheduling of cell cyc- specific therapeutic agents to maximize the therapeutic ratio. Unfortunately, several difficulties have prevented realiza tion of the early promise of cell cycle analysis: Proliferative patterns of the normal and malignant tissues have been found to be substantially more complex than originally an ticipated, and synchronization of human tumors has proved remarkably difficult. Human tumors of the same type have proved highly variable, and the cytokinetic tools available for cell cycle analysis have been labor intensive, as well as somewhat subjective and in many cases inapplicable to humans. However, the potential for substantially improved cancer therapy remains if more accurate cytokinetic infor mation about human malignancies and normal tissues can be obtained in a timely fashion |
| Beschreibung: | 1 Online-Ressource (XVIII, 407 p. 97 illus) |
| ISBN: | 9781603274067 |
| DOI: | 10.1007/978-1-60327-406-7 |
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| 520 | |a Quantification of the proliferative characteristics of normal and malignant cells has been of interest to oncolo gists and cancer biologists for almost three decades. This interest stems from (a) the fact that cancer is a disease of uncontrolled proliferation, (b) the finding that many of the commonly used anticancer agents are preferentially toxic to cells that are actively proliferating, and (c) the observa tion that significant differences in proliferation characteristics exist between normal and malignant cells. Initially, cell cycle analysis was pursued enthusiastically in the hope of gener ating information useful for the development of rational cancer therapy strategies; for example, by allowing identi fication of rapidly proliferating tumors against which cell cycle-specific agents could be used with maximum effec tiveness and by allowing rational scheduling of cell cyc- specific therapeutic agents to maximize the therapeutic ratio. Unfortunately, several difficulties have prevented realiza tion of the early promise of cell cycle analysis: Proliferative patterns of the normal and malignant tissues have been found to be substantially more complex than originally an ticipated, and synchronization of human tumors has proved remarkably difficult. Human tumors of the same type have proved highly variable, and the cytokinetic tools available for cell cycle analysis have been labor intensive, as well as somewhat subjective and in many cases inapplicable to humans. However, the potential for substantially improved cancer therapy remains if more accurate cytokinetic infor mation about human malignancies and normal tissues can be obtained in a timely fashion | ||
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Datensatz im Suchindex
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| dewey-full | 571.6 |
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| dewey-ones | 571 - Physiology & related subjects |
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| discipline | Biologie |
| doi_str_mv | 10.1007/978-1-60327-406-7 |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:05:36Z |
| institution | BVB |
| isbn | 9781603274067 |
| language | English |
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| spelling | Techniques in Cell Cycle Analysis edited by Joe W. Gray, Zbigniew Darzynkiewicz Totowa, NJ Humana Press 1987 1 Online-Ressource (XVIII, 407 p. 97 illus) txt rdacontent c rdamedia cr rdacarrier Quantification of the proliferative characteristics of normal and malignant cells has been of interest to oncolo gists and cancer biologists for almost three decades. This interest stems from (a) the fact that cancer is a disease of uncontrolled proliferation, (b) the finding that many of the commonly used anticancer agents are preferentially toxic to cells that are actively proliferating, and (c) the observa tion that significant differences in proliferation characteristics exist between normal and malignant cells. Initially, cell cycle analysis was pursued enthusiastically in the hope of gener ating information useful for the development of rational cancer therapy strategies; for example, by allowing identi fication of rapidly proliferating tumors against which cell cycle-specific agents could be used with maximum effec tiveness and by allowing rational scheduling of cell cyc- specific therapeutic agents to maximize the therapeutic ratio. Unfortunately, several difficulties have prevented realiza tion of the early promise of cell cycle analysis: Proliferative patterns of the normal and malignant tissues have been found to be substantially more complex than originally an ticipated, and synchronization of human tumors has proved remarkably difficult. Human tumors of the same type have proved highly variable, and the cytokinetic tools available for cell cycle analysis have been labor intensive, as well as somewhat subjective and in many cases inapplicable to humans. However, the potential for substantially improved cancer therapy remains if more accurate cytokinetic infor mation about human malignancies and normal tissues can be obtained in a timely fashion Life Sciences Cell Biology Life sciences Cell biology Zellwachstum (DE-588)4190674-3 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Zellzyklus (DE-588)4129960-7 gnd rswk-swf Zellzyklus (DE-588)4129960-7 s Methode (DE-588)4038971-6 s 1\p DE-604 Zellwachstum (DE-588)4190674-3 s 2\p DE-604 Gray, Joe W. edt Darzynkiewicz, Zbigniew edt Erscheint auch als Druck-Ausgabe 9780896030978 https://doi.org/10.1007/978-1-60327-406-7 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Techniques in Cell Cycle Analysis Life Sciences Cell Biology Life sciences Cell biology Zellwachstum (DE-588)4190674-3 gnd Methode (DE-588)4038971-6 gnd Zellzyklus (DE-588)4129960-7 gnd |
| subject_GND | (DE-588)4190674-3 (DE-588)4038971-6 (DE-588)4129960-7 |
| title | Techniques in Cell Cycle Analysis |
| title_auth | Techniques in Cell Cycle Analysis |
| title_exact_search | Techniques in Cell Cycle Analysis |
| title_full | Techniques in Cell Cycle Analysis edited by Joe W. Gray, Zbigniew Darzynkiewicz |
| title_fullStr | Techniques in Cell Cycle Analysis edited by Joe W. Gray, Zbigniew Darzynkiewicz |
| title_full_unstemmed | Techniques in Cell Cycle Analysis edited by Joe W. Gray, Zbigniew Darzynkiewicz |
| title_short | Techniques in Cell Cycle Analysis |
| title_sort | techniques in cell cycle analysis |
| topic | Life Sciences Cell Biology Life sciences Cell biology Zellwachstum (DE-588)4190674-3 gnd Methode (DE-588)4038971-6 gnd Zellzyklus (DE-588)4129960-7 gnd |
| topic_facet | Life Sciences Cell Biology Life sciences Cell biology Zellwachstum Methode Zellzyklus |
| url | https://doi.org/10.1007/978-1-60327-406-7 |
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