Description
The use of computers and computational methods has become ubiquitous in biological and biomedical research. During the last 2 decades most basic algorithms have not changed, but what has is the huge increase in computer speed and ease of use, along with the corresponding orders of magnitude decrease in cost.A general perception exists that the only applications of computers and computer methods in biological and biomedical research are either basic statistical analysis or the searching of DNA sequence data bases. While these are important applications they only scratch the surface of the current and potential applications of computers and computer methods in biomedical research. The various chapters within this volume include a wide variety of applications that extend far beyond this limited perception. As part of the Reliable Lab Solutions series, Essential Numerical Computer Methods brings together chapters from volumes 210, 240, 321, 383, 384, 454, and 467 of Methods in Enzymology. These chapters provide a general progression from basic numerical methods to more specific biochemical and biomedical applications.- The various chapters within this volume include a wide variety of applications that extend far beyond this limited perception- As part of the Reliable Lab Solutions series, Essential Numerical Computer Methods brings together chapters from volumes 210, 240, 321, 383, 384, 454, and 467 of Methods in Enzymology- These chapters provide a general progression from basic numerical methods to more specific biochemical and biomedical applications
Table of Contents
Part I: Fluorochromes/General Techniques1. Principles of confocal microscopy2. Protein labeling with fluorescent probes3. Cytometry of fluorescence resonance energy transfer4. The rainbow of fluorescent proteins5. Labeling cellular targets with semiconductor quantum dot conjugates6. High-gradient magnetic cell sorting7. Multiplexed microsphere assays for protein and DNA binding reactions8. Biohazard sorting9. Guidelines for the presentation of flow cytometric dataPart II: Cellular DNA Content Analysis10. VinDetergent and proteolytic enzyme-based techniques for nuclear isolation and DNA content analysis11. Rapid DNA content analysis12. DNA analysis from paraffin-embedded blocks13. Flow cytometry and sorting of plant protoplasts and cells14. DNA content histogram and cell cycle analysis15. Simultaneous analysis of cellular RNA and DNA contentPart III. Cell Proliferation and Death Assays16. Immunochemical quantitation of bromodeoxyuridine: application to cell cycle kinetics17. Cell cycle kinetics estimated by analysis of bromodeoxyuridine incorporation18. Flow cytometric analysis of cell division history using dilution of carboxyfluorescein diacetate succinimidyl ester, a stably integrated fluorescent probe19. Antibodies against the Ki-67 protein: Assessment of the growth fraction and tools for cell cycle analysis20. Detection of DNA damage in individual cells by analysis of histone H2AX phosphorylation21. Assays of cell viability: Discrimination of cells dying by apoptosis22. Difficulties and pitfalls in analysis of apoptosisPart IV: Cell Surface Immunophenotyping23. Cell preparation for the identification of leukocytes24. Multicolor immunophenotyping: Human immune system hematopoiesis25. Differential diagnosis of T-cell lymphoproliferative disorders by flow cytometry multicolor immunophenotyping. Correlation with morphology26. B-cell immunophenotypingPart V: Cytogenetics/Chromatin Structure27. Telomere length measurements using in situ hybridization28. Sperm chromatin structure assay: DNA denaturabilityPart VI: Cell Physiology Assays29. Cell membrane potential analysis30. Measurement of intracellular pH31. Intracellular ionized calcium32. Oxidative product formation analysis by flow cytometry33. Phagocyte function34. Analysis of RNA synthesis by cytometry35. Analysis of mitochondria by flow cytometry36. Analysis of platelets by flow cytometryPart VII: Detection of Microorganisms and Pathogens37. Detection of specific microorganisms in environmental samples using flow cytometry38. Flow cytometric analysis of microorganisms39. Flow cytometry of malaria detection
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