Oncogene-Induced Senescence
Humana (Verlag)
9781071644256 (ISBN)
Comprehensive and authoritative, Oncogene-Induced Senescence: Methods and Protocols is a valuable resource for basic researchers and clinicians in the oncology field, and a great guide for computational scientists.
In Situ and In Silico Methods for Senescence Identification in Human Liver Diseases.- Current Methodologies to Assess Cellular Senescence in Cancer.- Selective Sorting of Senescent Cell Subpopulations Compatible with Downstream Genomics Pipelines.- Detection and Characterization of Senescent Cells with Flow Cytometry.- Detecting Senescence in T Cells by Flow Cytometry Using the SA-β-galactosidase Assay.- The DNA Damage Response as an Auxiliary Indicator of Senescence in Cancer: A User-Friendly Toolkit of Markers and Detection Methods.- Precise Mapping of Physiological DSBs Using In-Suspension Break Labelling In Situ and Sequencing (sBLISS).- Detecting Telomeric DNA Damage by Immuno-Telo FISH.- Combined In Situ Transcriptomic and Immunofluorescence to Assess the Effects on DNA Damage and Innate Immune Responses Induced by Bacterial Genotoxin in In Vivo Models.- Two-Replication Round Telomere Strand-Specific Chromosome Orientation Fluorescent In Situ Hybridization.- Identification of Oncogene-Induced Senescence-Associated MicroRNAs.- Global Proteomic Profiling to Unravel Lipofuscin’s Protein Repertoire.- Electron Microscopy to Visualize and Quantify Mitochondrial Structure and Organellar Interactions in Cultured Cells during Senescence.- Isolation and Characterization of EVs Containing Mitochondria from OIS Cells.- Isolation and Characterization of Endothelial Colony Forming Cells (ECFC): Studying Endothelial Senescence for Translational Studies and for Personalized Medicine.- In Vitro Modeling of Vascular Senescence.- Studying Cellular Senescence Using the Model-Organism Drosophila melanogaster.- C. elegans as a Screening Platform for Anti-Aging Compounds.- Natural Product-Derived Senotherapeutics: Extraction and Biological Evaluation Techniques.
| Erscheinungsdatum | 10.04.2025 |
|---|---|
| Reihe/Serie | Methods in Molecular Biology |
| Zusatzinfo | 54 Illustrations, color; 3 Illustrations, black and white |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Naturwissenschaften ► Biologie ► Zellbiologie | |
| Schlagworte | Computational Analysis • High throughput machine learning • ois • Oncogenic signaling • Oncology |
| ISBN-13 | 9781071644256 / 9781071644256 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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