Single-Cell Omics Volume 1: Technological Advances and Applications
Coordonnateurs : Barh Debmalya, Azevedo Vasco Ariston De Car
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.
Section I Overview of Single-Cell Omics1. Single-Cell Omics: An Overview2. Recent Progress in Single-Cell Sequencing3. Cellular Heterogeneity and Single-Cell Omics4. Single-Cell Omics: Cellular Functions5. Single-Cell Omics: Deciphering Tumor Clonal Architecture
Section II Omics Technologies in Single-Cell6. An Overview of Single-Cell Isolation Techniques7. Microfluidic Techniques for Single-Cell Culture8. Single-Cell Omics in Noninvasive Diagnosis and Testing—Surface-Enhanced Raman Spectroscopy-Based Approach9. Single-Cell Genomics: Technology and Applications10. Single-Cell Metagenomics11. Single-Cell Epigenomics: Technology and Applications12. Single-Cell Transcriptomics: Technology and Applications13. Single-Cell Transcriptomics and Proteomics of Skeletal Muscle: Technology and Applications14. Single-Cell Proteomics: Technology and Applications15. Single-Cell Metabolomics: Technology and Applications16. Single-Cell Phenomics in Budding Yeast: Technologies and Applications17. Robotics in Single-Cell Omics18. Single-Cell Editing: The CRISPR/Cas9 and Applications
Section III Data Analysis in Single-Cell Omics19. Data Analysis in Single-Cell RNA-Seq20. Systems-Level Understanding of Single-Cell Omics
bioinformaticians, molecular diagnostic researchers, clinicians, geneticists
Dr. Vasco Azevedo is a full professor at the Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Brazil. He is a CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) researcher 1A, member of the Brazilian Academy of Sciences, Commander of the Order of Scientific Merit of the MCTI of the genetics advisory committee and the public policy working group on biotechnology and genetic resources of COBRG/CNPq, coordinator of the Associated International Laboratory Bactinfl from INRAE and UFMG, and vice-president of the Brazilian Association of Bioinformatics and Computational Biology. He holds a degree in veterinary medicine from the School of Veterinary Medicine of the Federal University of Bahia (1986), a master's degree (1989), a doctorate (1993) in the genetics of microorganisms from the Institut National Agronomique Paris Grignon, and a doctorate in bioinformatics from UFMG (2017). He did his postdoctorate work with the Department of Microbiology, School of Medicine, University of Pennsylvania, United States (1994). He was a professor at the Institute of Biomedical Sciences of the University of São P
- Covers not only the technological aspects, but also the diverse applications of single cell omics in the biomedical field
- Summarizes the latest progress in single cell omics and discusses potential future developments for research and diagnosis
- Written by experts across the world, bringing different points-of-view and case studies to give a comprehensive overview on the topic
Date de parution : 06-2019
Ouvrage de 490 p.
19x23.3 cm
Thème de Single-Cell Omics :
Mots-clés :
Analysis; Applications; Bioinformatics; Biomechanics; Biorobotics; BITS-ChIP; Budding yeast; Bulk sample sequencing; Cancer; Cancer biology; Cancer cell biology; Cas9; Cell death; Cell growth; Cell heterogeneity; Cell isolation; Cellular functions; Cellular heterogeneity; Challenges; Clustering; Coding RNA; CRISPR; Embryogenesis; Epigenomics; FACS; Fluorescence flow cytometry; Gene expression; Genomics; High-content imaging; hiPSCs; Immunology; Imputation; INTACT; Intratumor heterogeneity; Label-free analysis; Lab-on-a-chip; Laser-capture microdissection LMD/LCM; LincRNA; LncRNA; Long noncoding RNA; MACS; Mass cytometry; Mass spectrometry; Mass spectrometry imaging; Metabolites; Metagenomics; Microfluidics; miRAP; miRNA; Morphology; Mosaicism; Muscle metabolism; Myofiber; Noncoding RNA; Noninvasive analysis; Nucleases; Nu-TRAP; Omics; Omics technologies; Phenotypic potential; Phylogenetics; Poly(A) mRNA tagging; Processing; Proteins; Proteomics; Pseudotime trajectory construction; Raman; Ribo-Tag/TRAP; Sequencing; SERS; Single cell; Single cell omics; Single muscle fiber; Single-cell; Single-cell analysis; Single-cell computational analysis; Single-cell genomics; Single-cell isolation; Single-cell metabolomics; Single-cell multiomics; Single-cell omics; Single-cell proteomics; Single-cell proteomics (SCP); Single-cell RNA sequencing; Single-cell transcriptomics; Stem cell biology; Stochastic gene expression; Systems biology; Targeted DamID (TaDa); Targeted therapy; Technologies; Transcriptome; Transcriptomics; TU tagging; Tumor evolution; Tumor heterogeneity; Tumor progression; Visualization; Whole genome; Workflow
