Published June 21, 2022 | Published
Journal Article Open

Transcriptional and functional motifs defining renal function revealed by single-nucleus RNA sequencing

Abstract

Recent advances in single-cell sequencing provide a unique opportunity to gain novel insights into the diversity, lineage, and functions of cell types constituting a tissue/organ. Here, we performed a single-nucleus study of the adult Drosophila renal system, consisting of Malpighian tubules and nephrocytes, which shares similarities with the mammalian kidney. We identified 11 distinct clusters representing renal stem cells, stellate cells, regionally specific principal cells, garland nephrocyte cells, and pericardial nephrocytes. Characterization of the transcription factors specific to each cluster identified fruitless ( fru ) as playing a role in stem cell regeneration and Hepatocyte nuclear factor 4 ( Hnf4 ) in regulating glycogen and triglyceride metabolism. In addition, we identified a number of genes, including Rho guanine nucleotide exchange factor at 64C ( RhoGEF64c ), Frequenin 2 ( Frq2 ), Prip , and CG1093 that are involved in regulating the unusual star shape of stellate cells. Importantly, the single-nucleus dataset allows visualization of the expression at the organ level of genes involved in ion transport and junctional permeability, providing a systems-level view of the organization and physiological roles of the tubules. Finally, a cross-species analysis allowed us to match the fly kidney cell types to mouse kidney cell types and planarian protonephridia, knowledge that will help the generation of kidney disease models. Altogether, our study provides a comprehensive resource for studying the fly kidney.

Copyright and License

Copyright © 2022 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

Funding

We thank the Microscopy Resources on the North Quad core at Harvard Medical School for assistance; Sudhir Gopal Tattikota for suggestions on sequencing and data analysis; and Stephanie Mohr for comments on the manuscript. Relevant grant support includes: National Institute on Aging R00 AG062746 (to H.L.); National Institute on Deafness and Other Communication Disorders R01 DC005982 (to L.L.); National Institute of Diabetes and Digestive and Kidney Diseases DK107350, DK094526, and DK110792 (to A.P.M.); and the Biotechnology and Biological Sciences Research Council–NSF (N.P.). H.L. is a Cancer Prevention and Research Institute of Texas scholar. S.R.Q. is an investigator of Chan Zuckerberg Biohub. J.A.T.D. is supported by UK Biotechnology and Biological Sciences Research Council Grants BB/P024297/1 and BB/V011154/1. L.L. and N.P. are investigators of the Howard Hughes Medical Institute.

Data Availability

All data supporting the findings of this study are available within the main text and SI Appendix files or from the corresponding author upon reasonable request. Raw snRNA-seq reads have been deposited in the Gene Expression Omnibus (GEO) database, https://www.ncbi.nlm.nih.gov/geo (accession no. GSE202575). Processed datasets can be mined through a web tool (https://www.flyrnai.org/scRNA/kidney/) that allows users to explore genes and cell types of interest.

Files

xu-et-al-2022-transcriptional-and-functional-motifs-defining-renal-function-revealed-by-single-nucleus-rna-sequencing.pdf

Additional details

Created:
December 5, 2024
Modified:
December 5, 2024