The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
From Tissues to Cell Types and Back: Single-Cell Gene Expression Analysis of Tissue Architecture
Abstract
With the recent transformative developments in single-cell genomics and, in particular, single-cell gene expression analysis, it is now possible to study tissues at the single-cell level, rather than having to rely on data from bulk measurements. Here we review the rapid developments in single-cell RNA sequencing (scRNA-seq) protocols that have the potential for unbiased identification and profiling of all cell types within a tissue or organism. In addition, novel approaches for spatial profiling of gene expression allow us to map individual cells and cell types back into the three-dimensional context of organs. The combination of in-depth single-cell and spatial gene expression data will reveal tissue architecture in unprecedented detail, generating a wealth of biological knowledge and a better understanding of many diseases.
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“Single-cell RNA-seq (scRNA-seq) enables the quantification of RNA abundance at the resolution of individual cells4.”
From Confronting false discoveries in single-cell differential expression (2021) · cites this paper as [4]
Citations
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Cited by
Sorted by citations
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Van de Sande, B., Flerin, C., Davie, K., De Waegeneer, M., Hulselmans, G., Aibar, S., Seurinck, R., Saelens, W., Cannoodt, R., Rouchon, Q., et al. (2020) · Nature Protocols · doi:10.1038/s41596-020-0336-2 · Cited by 1,494
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Metadata
- Authors
- Chen, X., Teichmann, S. A., & Meyer, K. B.
- Affiliations
- Wellcome Sanger Institute (GB)
- European Bioinformatics Institute (GB)
- Venue
- Annual Review of Biomedical Data Science
- Publisher
- Annual Reviews
- Published
- 2018-07-20
- Volume
- 1
- Issue
- 1
- Pages
- 29-51
- ISSN
- 2574-3414 (ISSN-L)
- OpenAlex
- W2803942859
- Cited by
- 112
- References
- 127
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 14 · 2023: 12 · 2022: 17 · 2021: 20 · 2020: 21 · 2019: 17 · 2018: 4
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biomedical Data Science (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- single-cell RNA sequencing, tissue structure, cell types, spatial gene expression profiling, single-cell genomics, cell type annotation, spatial transcriptomics
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