Main description:

Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions.

This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis.

Contents:

1. Challenges and emerging trends for Computational Stem Cell Biology 2. Multi-omics Techniques for Stem Cell Research 3. Computational Tools for Deciphering the Regulatory Network of Stem Cells 4. Computational Techniques to Decipher Molecular Networks in Stem Cells 5. Computational Approaches for Stem Cell Plasticity in Metastasis, Therapy Muti-omics Analysis of Human Stem Cells 6. Application of Machine-learning in Stem Cell Biology 7. Docking Studies of Natural Inhibitors for Targeting Cancer Stem Cell Metabolic 8. Data Driven Approaches for Designing Activators and Inhibitors for Stem Cells 9. Computational Tools for Accurate Stoichiometric Composition of Cryopreservative Media for Fetal and Induced Pluripotent Stem Cell-Derived 10. State of Art: Tools and Approaches for Automated Segmentation, Tracking, and Analysis of Sarcomeres in hiPSC-CM 11. Machine Learning Methods to Fully Characterize the Process of hPSC self-organization and/or Stem-cell-based Embryo Models

Section II Application of Genomic, Proteomic Approaches in Stem Cell Research 12. Advancing Stem Cell Research through Multimodal Single Cell Data Analysis 13. Unravelling Stem Cell Niche Interaction via Single Cell Analysis 14. Non-coding Genomic Analysis of Human Stem Cell for Liver Diseases 15. Genomic Landscape of Stem Cells for Regenerative Health 16. Genomic Approaches to Understand the Transcriptomic Lineages 17. Genomic Approaches to Delineate the cause of Hematopoietic Malignancies 18. Next Generation Genomic Approaches to Study Stem Cells for Application 19. Genomic Approaches for Stem Cell Differentiations 20. Advancing Stem Cell Research through Multimodal Genomic and Epigenomic 21. Translational Approaches on Human Induced Pluripotent Stem Cell for Eye 22. Proteomic Approaches to Cure the Cystic Fibrosis via Stem Cell Biology 23. NGS Advancements in Measuring Cell Identify and Mapping Fate Transitions 24. Computational Methods for Single Cell RNA-Seq Analysis to Study the Cancer Stem Cell Traits and Enhanced Cell to Cell Signaling during EMT 25. Computational Tools to Study the Population Dynamics of Stem Cell Populations undergoing Mutation Accumulation 26. Breakthroughs in the transcriptomic Analysis of Human Naive and Primed 27. Computational Identification and Experimental Validation of New miRNA- mRNA Regulation in hiPSC-CMs 28. High-dimensional Mass Cytometry and Computational Approaches for the Characterization of HSPC Subsets 29. Recent Advances and Current Challenges in Human Stem Cell Models 30. Single-cell RNA-sequencing-based Tools and Software to Guide Cell Conversion

Section III Stem Cell Network Modeling and Systems Biology 31. Development of Stem Cell Therapies for Kidney Diseases 32. Understanding Immune Landscape of Human Embryonic Stem Cell 33. Deciphering the Stem Cell Regeneration via Model Organisms 34. Unravelling the Role of Mobile Genetic Elements 35. Epigenetic Control of Stem Cell Differentiation 36. Understanding of Immune Niche of Stem Cell for Application in Tissue Repair 37. Capturing Signaling Pathway Behavior for Cellular Proliferation 38. Understanding Cell Differentiation Lineages that are Conserved across Species 39. Development of Stem Cell Therapies for Hematological Disorders 40. Stem Cell Approaches to Cure Cardiovascular Diseases 41. Unravelling Regulatory Code that Specifies Different Cell Types 42. Development of Stem-cell Based Therapies to Restore Muscle Function 43. Developing Therapies for Chemotherapy Resistant Cancer Stem-like Cells 44. Niche Cells and Regulatory Elements to Control Stem Cell Behavior 45. Integrative Biology Studies in Pluripotent Stem Cells 46. Applications of Human-induced Pluripotent Stem Cell-derived Cardiomyocytes in Treating Heart Disorders 47. Molecular Mechanisms that Regulate the Choice between Stem Cell Self-renewal 48. Advanced Methods to Uncover Novel Committed, Transitional, and Metastable 49. Recent Advances in Our Understanding of Central and Peripheral Nervous 50. Recent Trends in Stem Cell Therapy for the Management of Diabetes Mellitus 51. Mesenchymal Stem Cells: Bench to Bedside Applications

Section IV Computational Approaches for Stem Cell Tissue Engineering 52. Novel Methods to Develop a Layered 3D Scaffold for Human Pluripotent Stem Cells 53. Advances in Defining and Tracking Alloreactive T-cell Clones after Hematopoietic Stem Cell Transplantation 54. Comparative Assessment of the Effect of Different Stem Cells in Wound Healing in Animal Models 55. Controlling Mesenchyme Tissue Remodeling via Spatial Arrangement of Mechanical Constraints 56. Biomaterial-guided Stem Cell Organoid Engineering for Modeling Development and Diseases