Single Cell Analysis and Spatial Omics for Cell-Based Diagnostics
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 440
Special Issue Editor
Interests: spatial omics; single cell analysis; molecular imaging; high-dimensional pathology; cellular and subcellular networks in cancers, pediatric diseases, and infections; artificial intelligence in image-based diagnostics, and personalized medicine
Special Issue Information
Dear colleagues,
Powerful genome-wide technologies have expanded the field of genomics for finding gene regulatory factors. However, these approaches can only provide population average data that combine information from millions of cells. This population heterogeneity can be resolved by analyzing interactions of regulatory elements in single cells. Current single-cell profiling technologies resolve this cellular variability using label-free monitoring, live-cell imaging, microfluidics single-cell assays, and single-molecule nucleic acid detection methods to achieve spatially resolved analysis of genes, proteins, and metabolites. While single-cell methods shed light on cell-based diagnostics, they have been limited to the screening of only a few genes at a time. There is an increasing demand in biology and medicine for single-cell analysis technologies that can both capture spatial data and high-throughput molecular differences of individual cells. To provide solutions to this important need, this Special Issue discusses emerging technologies and computational approaches to define a new field of spatial omics (genomics, proteomics, metabolomics, and multi-omics) in health and disease.
Dr. Ahmet Coskun
Guest Editor
Manuscript Submission Information
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Keywords
- single-cell sequencing
- molecular barcoding
- image bioinformatics
- cell-based assays
