Experimental and computational technologies to dissect the kidney at the single-cell level

C. Kuppe, J. Perales-Patón, J. Saez-Rodriguez, R. Kramann*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
32 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)628-637
Number of pages10
JournalNephrology Dialysis Transplantation
Volume37
Issue number4
DOIs
Publication statusPublished - 1 Apr 2022

Bibliographical note

Funding Information:
This work was supported by grants of the German Research Foundation (SFB/TRR57, P30, SFB/TRR219, C5 and CRU344, P1), a grant of the State of North Rhine-Westphalia (Return to NRW) and a grant of the Interdisciplinary Center for Clinical Research (IZKF) within the Faculty of Medicine at the RWTH Aachen University (O3-11) and the BMBF eMed Consortia Fibromap, all of the above to R.K., and one grant from the Germany Society of Internal Medicine (DGIM) to C.K.

Publisher Copyright:
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the ERA.

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