Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics,Molecular Biology
Link
https://www.nature.com/articles/s41576-021-00370-8.pdf
Reference166 articles.
1. [No authors listed] Method of the Year 2020: spatially resolved transcriptomics. Nat. Methods 18, 1 (2021).
2. Stegle, O., Teichmann, S. & Marioni, J. Computational and analytical challenges in single-cell transcriptomics. Nat. Rev. Genet. 16, 133–145 (2015).
3. Tang, F. et al. mRNA-seq whole-transcriptome analysis of a single cell. Nat. Methods 6, 377–382 (2009).
4. Chen, G., Ning, B. & Shi, T. Single-cell RNA-seq technologies and related computational data analysis. Front. Genet. 10, 317 (2019).
5. van den Brink, S. C. et al. Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations. Nat. Methods 14, 935–936 (2017).
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