The function of a cell is closely tied to its spatial location within a tissue, and its organization alongside other cells is a key determinant in tuning its cellular function. While capturing the spatial structure of a tissue is central to understanding cellular function, current methodologies for single-cell RNA sequencing (scRNA-seq) require the dissociation of a tissue into individual cells, resulting in a loss of all positional information for each of those cells. Several methods have been developed to capture the transcriptome of single cells while retaining positional information; however, these genome-wide methods typically do not have spatial resolution at the level of individual cells, fail to capture positional information outside the designed capture spots/grids and are not able to make other molecular measurements from a cell. Additionally, these methods are limited to profiling fixed instead of live cells, so they cannot capture tissue dynamics in real time, and their mRNA capture efficiency is low compared to standard scRNA-seq methods.
Researchers at the University of California, Santa Barbara have introduced the concept of single-cell Spatial Transcriptomics and Multiplexed Profiling, or scSTAMP-seq, which captures the transcriptomes of every cell within a field of view at the spatial resolution of individual cells. Cholesterol-tagged UV-sensitive oligonucleotides are incorporated into cell membranes and then spatially-imposed light gradients are applied to optically “stamp” the position of each cell prior to tissue dissociation and single-cell sequencing. scSTAMP-seq is completely modular and can be combined downstream with any single-cell sequencing technology or measurement, enabling rapid multiomic single-cell phenotypic profiling that can access the genetic diversity present in biological systems. This technology could be used to create kits to provide a sensitive and high-throughput mapping of the transcriptome and epigenome at single-cell resolution for applications in both fundamental and clinical research.
Country | Type | Number | Dated | Case |
Patent Cooperation Treaty | Published Application | 2024/173380 | 08/22/2024 | 2023-886 |
Additional Patent Pending
DNA, Cellular, Cancer, Gene therapy, Cell therapy, Genes, Genetic research, Cells