This exciting technology brings the depth and established workflows of single-cell analyses into spatial genomics. With the understanding that spatial context is key to understanding biology, genomics tools have begun mapping molecules in situ. Alas, these emerging spatial genomics technologies often lack the depth, breadth, and quantitative frameworks that more established single-cell techniques have.
The authors' Slide-tags technology cleverly barcodes the location of nuclei in tissue before dissociating them for established single-cell analyses. This way, they can capture quantitative, genome-wide transcriptome data with location data, whereas most alternative spatial techniques would fall short.
In short, the best of both worlds: the depth and established workflows of single-cell analyses while retaining spatial context.
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UCSF
This exciting technology brings the depth and established workflows of single-cell analyses into spatial genomics. With the understanding that spatial context is key to understanding biology, genomics tools have begun mapping molecules in situ. Alas, these emerging spatial genomics technologies often lack the depth, breadth, and quantitative frameworks that more established single-cell techniques have.
The authors' Slide-tags technology cleverly barcodes the location of nuclei in tissue before dissociating them for established single-cell analyses. This way, they can capture quantitative, genome-wide transcriptome data with location data, whereas most alternative spatial techniques would fall short.
In short, the best of both worlds: the depth and established workflows of single-cell analyses while retaining spatial context.
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