Advances in Cytometry: Applications, Volume 176 in the Methods in Cell Biology series, highlights advances in the field, with this new volume presenting interesting chapters on timely topics, including Orthotopic brain tumor models derived from glioblastoma stem-like cells, RNA sequencing in hematopoietic stem cells, Generation of inducible pluripotent stem cells from human dermal fibroblasts, In vitro preparation of dental pulp stem cell grafts combined with biocompatible scaffolds for tissue engineering, Gene expression knockdown in chronic myeloid leukemia stem cells, Identification and isolation of slow-cycling GSCs, Assessment of CD133, EpCAM, and much more.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Series Page - p. iii 5. Copyright - p. iii 6. Contributors - p. iii 7. In Memoriam: Zbigniew Darzynkiewicz - p. xv 8. Preface - p. xix 9. Chapter One: Probing cell proliferation: Considerations for dye selection - p. 1 10. Chapter Two: DNA flow cytometry for detection of genomic instability as a cancer precursor in the gastrointestinal tract - p. 25 11. Chapter Three: Immunophenotyping challenging tissue types using high-dimensional full spectrum flow cytometry - p. 51 12. Chapter Four: Single-cell multi-parametric characterization of microbiota by flow cytometry - p. 91 13. Chapter Five: Harmonized analysis of PBMC by mass cytometry - p. 113 14. Chapter Six: A pharmacodynamic assay to monitor treatment with the hypomethylating cytosine analogs, decitabine and azacitidine - p. 131 15. Chapter Seven: Cell metabolism: Functional and phenotypic single cell approaches - p. 177 16. Chapter Eight: Spectral analysis and sorting of microbial organisms using a spectral sorter - p. 189 17. Chapter Nine: A Hitchhiker's guide to high-dimensional tissue imaging with multiplexed ion beam imaging - p. 213 18. Chapter Ten: Measuring response to therapy in AML: Difference from normal flow cytometry vs RQ-PCR - p. 233 19. Chapter Eleven: Molecular cytometry for comprehensive immune profiling - p. 249 20. Chapter Twelve: Analysis of the multiparametric cell cycle data - p. 273 21. Chapter Thirteen: Spectral flow cytometry: Fundamentals and future impact - p. 311
Advances in Cytometry: Applications, Volume 176 in the Methods in Cell Biology series, highlights advances in the field, with this new volume presenting interesting chapters on timely topics, including Orthotopic brain tumor models derived from glioblastoma stem-like cells, RNA sequencing in hematopoietic stem cells, Generation of inducible pluripotent stem cells from human dermal fibroblasts, In vitro preparation of dental pulp stem cell grafts combined with biocompatible scaffolds for tissue engineering, Gene expression knockdown in chronic myeloid leukemia stem cells, Identification and isolation of slow-cycling GSCs, Assessment of CD133, EpCAM, and much more.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Series Page - p. iii 5. Copyright - p. iii 6. Contributors - p. iii 7. In Memoriam: Zbigniew Darzynkiewicz - p. xv 8. Preface - p. xix 9. Chapter One: Probing cell proliferation: Considerations for dye selection - p. 1 10. Chapter Two: DNA flow cytometry for detection of genomic instability as a cancer precursor in the gastrointestinal tract - p. 25 11. Chapter Three: Immunophenotyping challenging tissue types using high-dimensional full spectrum flow cytometry - p. 51 12. Chapter Four: Single-cell multi-parametric characterization of microbiota by flow cytometry - p. 91 13. Chapter Five: Harmonized analysis of PBMC by mass cytometry - p. 113 14. Chapter Six: A pharmacodynamic assay to monitor treatment with the hypomethylating cytosine analogs, decitabine and azacitidine - p. 131 15. Chapter Seven: Cell metabolism: Functional and phenotypic single cell approaches - p. 177 16. Chapter Eight: Spectral analysis and sorting of microbial organisms using a spectral sorter - p. 189 17. Chapter Nine: A Hitchhiker's guide to high-dimensional tissue imaging with multiplexed ion beam imaging - p. 213 18. Chapter Ten: Measuring response to therapy in AML: Difference from normal flow cytometry vs RQ-PCR - p. 233 19. Chapter Eleven: Molecular cytometry for comprehensive immune profiling - p. 249 20. Chapter Twelve: Analysis of the multiparametric cell cycle data - p. 273 21. Chapter Thirteen: Spectral flow cytometry: Fundamentals and future impact - p. 311