Advances in Single Cell Analysis
Springer Nature
The book explores single-cell analysis, enabling the study of individual cells within a population. It presents recent studies on genomics, transcriptomics, proteomics, metabolomics, and other cellular aspects at the single-cell level. Single-cell analysis primarily involves examining or manipulating individual cells under specific conditions using optical or electronic microscopes, time-lapse imaging, or confocal microscopy. It is widely used for high-throughput drug screening and evaluating drug effects. Importantly, single-cell analysis allows researchers to uncover cellular heterogeneity within populations, a crucial factor in various scientific and medical fields, including biology, medicine, and biotechnology. This book provides a comprehensive overview of single-cell analysis, covering fundamental concepts, emerging technologies, and applications across single-cell omics, single-cell RNA and DNA sequencing, and image processing. It highlights the applications of single-cell analysis in synthetic gene networks, bacterial infections, stem cell research, induced pluripotent stem cells (iPSCs), cancer, cardiovascular diseases, neurological disorders, precision medicine, and…
