Main description:

Single-Cell Omics: Volume 1: Technological Advances and Applications provides the latest technological developments and applications of single-cell technologies in the field of biomedicine. In the current era of precision medicine, the single-cell omics technology is highly promising due to its potential in diagnosis, prognosis and therapeutics. Sections in the book cover single-cell omics research and applications, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several applications of single-cell omics within the biomedical field, for example in cancer, metabolic and neuro diseases, immunology, pharmacogenomics, personalized medicine and reproductive health.

This book is a valuable source for bioinformaticians, molecular diagnostic researchers, clinicians and members of the biomedical field who are interested in understanding more about single-cell omics and its potential for research and diagnosis.

Contents:

Section I Overview of Single-Cell Omics 1. Single-Cell Omics: An Overview 2. Recent Progress in Single-Cell Sequencing 3. Cellular Heterogeneity and Single-Cell Omics 4. Single-Cell Omics: Cellular Functions 5. Single-Cell Omics: Deciphering Tumor Clonal Architecture

Section II Omics Technologies in Single-Cell 6. An Overview of Single-Cell Isolation Techniques 7. Microfluidic Techniques for Single-Cell Culture 8. Single-Cell Omics in Noninvasive Diagnosis and Testing-Surface-Enhanced Raman Spectroscopy-Based Approach 9. Single-Cell Genomics: Technology and Applications 10. Single-Cell Metagenomics 11. Single-Cell Epigenomics: Technology and Applications 12. Single-Cell Transcriptomics: Technology and Applications 13. Single-Cell Transcriptomics and Proteomics of Skeletal Muscle: Technology and Applications 14. Single-Cell Proteomics: Technology and Applications 15. Single-Cell Metabolomics: Technology and Applications 16. Single-Cell Phenomics in Budding Yeast: Technologies and Applications 17. Robotics in Single-Cell Omics 18. Single-Cell Editing: The CRISPR/Cas9 and Applications

Section III Data Analysis in Single-Cell Omics 19. Data Analysis in Single-Cell RNA-Seq 20. Systems-Level Understanding of Single-Cell Omics