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DOI: 10.1126/science.aaw1219
¤ OpenAccess: Bronze
This work has “Bronze” OA status. This means it is free to read on the publisher landing page, but without any identifiable license.

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

Samuel G. Rodriques,Robert R. Stickels,Aleksandrina Goeva,Clay Martin,Evan Murray,Charles R. Vanderburg,Joshua D. Welch,Linlin M. Chen,Fei Chen,Evan Z. Macosko

Gene expression
Cerebellum
Gene
2019
Gene expression at fine scale Mapping gene expression at the single-cell level within tissues remains a technical challenge. Rodriques et al. developed a method called Slide-seq, whereby RNA was spatially resolved from tissue sections by transfer onto a surface covered with DNA-barcoded beads. Applying Slide-seq to regions of a mouse brain revealed spatial gene expression patterns in the Purkinje layer of the cerebellum and axes of variation across Purkinje cell compartments. The authors used this method to dissect the temporal evolution of cell type–specific responses in a mouse model of traumatic brain injury. Science , this issue p. 1463
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    Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution” is a paper by Samuel G. Rodriques Robert R. Stickels Aleksandrina Goeva Clay Martin Evan Murray Charles R. Vanderburg Joshua D. Welch Linlin M. Chen Fei Chen Evan Z. Macosko published in 2019. It has an Open Access status of “bronze”. You can read and download a PDF Full Text of this paper here.