Experimental and computational technologies to dissect the kidney at the single-cell level
The field of single-cell technologies, in particular single-cell genomics with transcriptomics and epigenomics, and most recently single-cell proteomics, is rapidly growing and holds promise to advance our understanding of organ homoeostasis and disease, and facilitate the identification of novel th...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
April 2022
|
| In: |
Nephrology, dialysis, transplantation
Year: 2022, Volume: 37, Issue: 4, Pages: 628-637 |
| ISSN: | 1460-2385 |
| DOI: | 10.1093/ndt/gfaa233 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/ndt/gfaa233 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/ndt/article/37/4/628/6041067 
|
| Author Notes: | Christoph Kuppe, Javier Perales-Paton, Julio Saez-Rodriguez and Rafael Kramann |
| Summary: | The field of single-cell technologies, in particular single-cell genomics with transcriptomics and epigenomics, and most recently single-cell proteomics, is rapidly growing and holds promise to advance our understanding of organ homoeostasis and disease, and facilitate the identification of novel therapeutic targets and biomarkers. This review offers an introduction to these technologies. In addition, as the size and complexity of the data require sophisticated computational methods for analysis and interpretation, we will also provide an overview of these methods and summarize the single-cell literature specifically pertaining to the kidney. |
|---|---|
| Item Description: | Online veröffentlicht am 17. Dezember 2020 Gesehen am 12.12.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1460-2385 |
| DOI: | 10.1093/ndt/gfaa233 |