4.4 Review

Single-cell biology to decode the immune cellular composition of kidney inflammation

Journal

CELL AND TISSUE RESEARCH
Volume 385, Issue 2, Pages 435-443

Publisher

SPRINGER
DOI: 10.1007/s00441-021-03483-y

Keywords

Single-cell biology; Single-cell RNA profiling; Renal function

Categories

Funding

  1. Deutsche Forschungsgemeinschaft, DFG [SFB 1192]

Ask authors/readers for more resources

Single-cell biology is rapidly advancing, providing new opportunities for researchers to understand cell signaling and identity in the fields of medicine and biology. Especially for immune-mediated diseases, single-cell studies can delve into the pathogenesis of diseases and potential therapeutic approaches. This review also introduces the latest developments in applying single-cell technologies to understand renal function.
Single-cell biology is transforming the ability of researchers to understand cellular signaling and identity across medical and biological disciplines. Especially for immune-mediated diseases, a single-cell look at immune cell subtypes, signaling, and activity might yield fundamental insights into the disease etiology, mechanisms, and potential therapeutic interventions. In this review, we highlight recent advances in the field of single-cell RNA profiling and their application to understand renal function in health and disease. With a focus on the immune system, in particular on T cells, we propose some key directions of understanding renal inflammation using single-cell approaches. We detail the benefits and shortcomings of the various technological approaches outlined and give advice on potential pitfalls and challenges in experimental setup and computational analysis. Finally, we conclude with a brief outlook into a promising future for single-cell technologies to elucidate kidney function.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available