Spatially resolved single-cell genomics and transcriptomics by imaging

• Published in: Nature methods Vol. 18; no. 1; pp. 18 - 22
• Main Author: Zhuang, Xiaowei
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.01.2021; Nature Publishing Group
• Subjects: 631/1647; 631/61; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Comment; Comparative analysis; Computational Biology - methods; Gene expression; Gene Expression Profiling; Gene mapping; Genetic transcription; Genomes; Genomics; Genomics - methods; Humans; Life Sciences; Methods; Multimodal Imaging - methods; Proteome - analysis; Proteomics; Regulatory mechanisms (biology); Single-Cell Analysis - methods; Software; Spatial Analysis; Spatial discrimination; Spatial resolution; Transcriptome; Transcriptomes; United States
• ISSN: 1548-7091; 1548-7105; 1548-7105
• DOI: 10.1038/s41592-020-01037-8

The recent advent of genome-scale imaging has enabled single-cell omics analysis in a spatially resolved manner in intact cells and tissues. These advances allow gene expression profiling of individual cells, and hence in situ identification and spatial mapping of cell types, in complex tissues. The...