Protocols for single-cell RNA-seq and spatial gene expression integration and interactive visualization.
STAR Protoc
; 4(1): 102047, 2023 03 17.
Article
in En
| MEDLINE
| ID: mdl-36853708
ABSTRACT
There is a wealth of software that utilizes single-cell RNA-seq (scRNA-seq) data to deconvolve spatial transcriptomic spots, which currently are not yet at single-cell resolution. Here we provide protocols for implementing Seurat and Giotto packages to elucidate cell-type distribution in our example human ureter scRNA-seq dataset. We also describe how to create a stand-alone interactive web application using Seurat libraries to visualize and share our results. For complete details on the use and execution of this protocol, please refer to Fink et al. (2022).1.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Single-Cell Analysis
/
Single-Cell Gene Expression Analysis
Limits:
Humans
Language:
En
Journal:
STAR Protoc
Year:
2023
Document type:
Article