
Computational Biology for Stem Cell Research
- 1st Edition - January 12, 2024
- Imprint: Academic Press
- Editors: Pawan Raghav, Rajesh Kumar, Anjali Lathwal, Navneet Sharma
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 2 2 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 2 1 - 6
Computational Biology for Stem Cell Research seamlessly bridges the gap between the worlds of biomedical sciences and in silico computational methods. This book serves as a… Read more
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Computational Biology for Stem Cell Research seamlessly bridges the gap between the worlds of biomedical sciences and in silico computational methods. This book serves as a valuable resource for researchers and students, enabling them to grasp and delve into the intricacies of hematopoietic Stem Cells (HSCs) and mesenchymal Stem Cells (MSCs) through the lens of computational biology. This perspective sheds light on stem cell transplantation, translational research, and unique properties of stem cells like self-renewal and differentiation. In addition to introducing readers to stem cell-focused bioinformatics tools, this resource offers a clear pathway for effortlessly merging in silico methods with traditional in vitro and in vivo approaches.
Computational Biology for Stem Cell Research combines science and technology to showcase how computational methods transform stem cell research by reducing costs and enhancing investigations. The chapters uncover various approaches, from machine learning to genome analysis, for studying networks, protein interactions, dynamics, and the preprocessing of large datasets. The book aims to give readers a broad view of the advanced computational tools and methods extensively employed in stem cell research. Additionally, the book emphasizes the ongoing studies and tools yet to be developed for furthering stem cell research.
- Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios.
- Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications.
- Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.
Section I – In silico Tools and Approaches in Stem Cell Biology
1. Advancement of In Silico Tools in Stem Cell Research
2. Paradigm shift in stem cell research with computational tools, techniques, and databases
3. Stem Cell Informatics: Web-Resources Aiding in Stem Cell Research
4. Stem Cell-Based Informatics Development and Approaches
5. Application of Machine Learning-Based Approaches in Stem Cell Research
6. Stem Cell Therapy in the Era of Machine Learning
7. Computational and Stem Cell Biology: Challenges and Future Perspectives
Section II – Application of Genomic and Proteomic Approaches in Stem Cell Research
8. Single Cell Transcriptome Profiling in Unravelling Distinct Molecular Signatures from Cancer Stem Cells 9. The Single-Cell Big Data Analytics: A Game-Changer in Bioscience
10. Unravelling the genomics and proteomics aspects of the stemness phenotype in stem cells
11. Cutting-Edge Proteogenomics Approaches to Analyze Stem Cells at the Therapeutic Level
12. Advances in Regenerative Medicines Based on Mesenchymal Stem Cell Secretome
13. Paradigms of Omics in Bioinformatics for Accelerating Current Trends and Future Prospects of Stem Cell Research
14. Transcriptomic Profiling-Based Identification Biomarkers of Stem Cells
15. Genomic and Transcriptomic Applications in Neural Stem Cell Therapeutics
Section III – Stem Cell Network Modeling and Systems Biology
16. Integration of Multi-omic Data to Identify Transcriptional Targets During Human Hematopoietic Stem Cell Differentiation
17. Computational Approaches to Determine Stem Cell Fate
18. Stem Cell Databases and Tools: Challenges and Opportunities for Computational Biology
19. Deciphering the Complexities of Stem Cells Through Network Biology Approaches for their Application in Regenerative Medicine
20. Bioinformatics Approaches to the Understanding of Notch Signaling in the Biology of Stem Cells
21. In Silico Approaches for the Analyses of Developmental Fate of Stem Cells
22. Exploring imaging technologies and computational resources in stem cell research for regenerative medicine: A comprehensive review
23. Computational Approaches for Hematopoietic Stem Cells: Advancing Regenerative Therapeutics
24. Approaches to Construct and Analyze Stem Cells Regulatory Networks
Section IV – Computational Approaches for Stem Cell Tissue Engineering
25. Tissue Engineering in Chondral Defect
26. Recent Advances in Computational Modeling: An Appraisal of Stem Cell and Tissue Engineering Research
27. Computational Approaches for Bioengineering of Cornea
28. Cheminformatics, Metabolomics and Stem Cell Tissue Engineering: A Transformative Insight
29. Targeting Cancer Stem Cells and Harnessing of Computational Tools Offer New Strategies for Cancer Therapy
30. Introduction to Machine Learning and its Applications in Stem Cell Research
31. Multiscale Computational and Machine Learning Models for Designing Stem Cell-Based Regenerative Medicine Therapies
32. Computational Analysis of Epithelial Tissue Regeneration
- Edition: 1
- Published: January 12, 2024
- Imprint: Academic Press
- Language: English
PR
Pawan Raghav
RK
Rajesh Kumar
AL
Anjali Lathwal
NS
Navneet Sharma
Dr. Navneet Sharma is an Assistant Professor at the Amity Institute of Pharmacy, Amity University, India. He has an M.Pharm, Ph.D and PGDRA, and his expertise lies in the realm of biomaterials and applied R & D, especially needs-based product development. He has taken pivotal roles as an investigator in three projects supported by DST-India. He has won several awards, including eight national and international awards. The most prestigious among them are SCO and Ministry of External Affairs, Government of India Covid-19 best innovation award 2020, and Department of Science and Technology, Young Scientist Award for the year 2018 and 2022. He has more than 40 publications including four books, five book chapters, 10 patents and 4 technologies successfully transferred to the industry.