Single-Cell Genomics

Cells, the basic units of biological structure and function, vary broadly in type and state. Individual cells are the building blocks of tissues, organs, and organisms. Each tissue contains cells of many types, and cells of each type can switch among biological states. Single-cell genomics, transcriptomics and epigenomics open a whole new era with the possibility to interrogate every cell of an organism in order to decipher the important biological processes that occur within. This has emerged as a ground-breaking technology that has greatly enhanced our understanding of the complexity of gene expression dynamics at a microscopic resolution. It is anticipated that in the next 5-10 years, the wider research community will be routinely employing this powerful technology as a laboratory staple. Single-cell genomics, transcriptomics and epigenomics hold the potential to revolutionize the way we characterize complex cell assemblies and study their spatial organization, dynamics, clonal distribution, pathways, function, and crosstalks. These fascinating advances have opened up a new field of cell population genomics.

Single-cell genomics, transcriptomics and epigenomics research is providing new insights into inter-cellular population genomic diversity, heterogeneity, specialization, taxonomy, spatial and temporal gene regulation, and cellular and organismal development and evolution. It is facilitating plant breeding, understanding of human disease conditions and personalized medicine. This book discusses the perspectives, progress, and promises of single-cell genomics, transcriptomics and epigenomics research and applications in addressing the above and other key biological aspects in all organisms. It establishes the current state-of-the-field and serves as the foundation for future developments in single-cell genomics, transcriptomics, and epigenomics.

Provides the first book on Single-Cell Genomics, a rapidly-evolving genomics discipline Provides a study resource of developed technologies and our current understanding of cell to shell Compiles chapter contributions from experts in biology, genomic cytometry, medicine, plants, animals, genomics, transcriptomics, epigenomics, technological development, and computation Easily accessible to a wide readership, covering species across the tree of life and ensuring a global approach

Auteur
Dr. Om P. Rajora
ProfessorUniversity of New BrunswickFaculty of Forestry and Environmental ManagementFredericton, NBCanada
Dr. Parwinder KaurAssociate ProfessorThe University of Western AustraliaFaculty of SciencePerth, Western AustraliaAustralia

Contenu
Preface.- Single-Cell Genomics, Transcriptomics and Epigenomics: Current State and Future Perspectives.- Single-cell genomics.- Single-cell transcriptomics.- Single-cell epigenomics.- Single-cell metagenomics.- Single-cell Hi-C.- Single-cell ATAC-Seq.- Practical considerations for designing single-cell experiments.- Visualization of single-cell genomic, transcriptomic and epigenomic data.- Addressing the problem of large single-cell genomic, transcriptomic and epigenomic data.- Data analysis tools and statistical methods.- Role of Artificial Intelligence (AI) and deep learning.- Overview of clustering methods and batch effects in single-cell RNA Sequencing.- Best practices for single-cell RNA-Seq data analysis.- Advanced disease modeling.- Tracking mutations, copy number variations, and chromosomal aberrations at the single-cell level.- Defining cell types and states from single-cell genomics.- Unravelling single cell heterogeneity using single-cell RNA sequencing and understanding function of cellular specialization.- Building a taxonomy of the cells.- Characterization of the epigenetic landscape of cellular populations.- Microbial population genetics using single-cell genomics.- Spatial and temporal gene regulation dynamics at the single-cell level.- Single-cell spatial and temporal gene expression patterns in mice.- Single-cell spatial and temporal gene expression patterns in humans.- New insights into cellular development and evolution from single-cell genomics.- Assessing embryo development and regeneration via single-cell RNA-Seq.- Reconstructing lineages from single-cell genomics.- Understanding human diseases using single-cell omics approaches.- Single-cell omics for personalized medicine.- Advanced understanding of cancer using single-cell transcriptomics.- Dissecting Alzheimer's disease at the single-cell level.- Single-cell mass cytometry of differential immune and drug responses.- Challenges and opportunities of single-cell genomics, transcriptomicsand epigenomics in plants.- Systems biology of plants at the single-cell level.- Single-cell genomics for new and enhanced green revolution.- Single-cell genome, transcriptome and epigenome sequencing.- Integration and harmonization of single-cell genomic, transcriptomic and epigenomic data.- Integration of single cell RNA-Seq with CRISPR/Cas9.- Index.