Skip to content
Open access · CC-BY via OpenAlex

Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury

Ricardo Melo Ferreira, Angela R. Sabo, Seth Winfree, Kimberly S. Collins, Danielle Janosevic, Connor J. Gulbronson, Ying‐Hua Cheng, Lauren Casbon, Daria Barwinska, Michael J. Ferkowicz, Xiaoling Xuei, Chi Zhang, Kenneth W. Dunn, Katherine J. Kelly, Timothy A. Sutton

JCI Insight · 2021 · ▲ 199 citations

Abstract

Single-cell sequencing studies have characterized the transcriptomic signature of cell types within the kidney. However, the spatial distribution of acute kidney injury (AKI) is regional and affects cells heterogeneously. We first optimized coordination of spatial transcriptomics and single-nuclear sequencing data sets, mapping 30 dominant cell types to a human nephrectomy. The predicted cell-type spots corresponded with the underlying histopathology. To study the implications of AKI on transcript expression, we then characterized the spatial transcriptomic signature of 2 murine AKI models: ischemia/reperfusion injury (IRI) and cecal ligation puncture (CLP). Localized regions of reduced overall expression were associated with injury pathways. Using single-cell sequencing, we deconvoluted the signature of each spatial transcriptomic spot, identifying patterns of colocalization between immune and epithelial cells. Neutrophils infiltrated the renal medulla in the ischemia model. Atf3 was identified as a chemotactic factor in S3 proximal tubules. In the CLP model, infiltrating macrophages dominated the outer cortical signature, and Mdk was identified as a corresponding chemotactic factor. The regional distribution of these immune cells was validated with multiplexed CO-Detection by indEXing (CODEX) immunofluorescence. Spatial transcriptomic sequencing complemented single-cell sequencing by uncovering mechanisms driving immune cell infiltration and detection of relevant cell subpopulations.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
DOI
10.1172/jci.insight.147703
Canonical
link ↗
Fetched
2026-07-25 MST

Cite this

APA
Ferreira, R.M., Sabo, A.R., Winfree, S., Collins, K.S., Janosevic, D., Gulbronson, C.J., Cheng, Y., Casbon, L., Barwinska, D., Ferkowicz, M.J., Xuei, X., Zhang, C., Dunn, K.W., Kelly, K.J., Sutton, T.A., Hato, T., Dagher, P.C., El‐Achkar, T.M., &amp; Eadon, M.T. (2021). Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury. <em>JCI Insight</em>. https://doi.org/10.1172/jci.insight.147703
Vancouver
Ferreira RM, Sabo AR, Winfree S, Collins KS, Janosevic D, Gulbronson CJ, et al. Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury. JCI Insight. 2021. doi:10.1172/jci.insight.147703.
BibTeX
@article{ricardo2021Integr, title = {Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury}, author = {Ricardo Melo Ferreira and Angela R. Sabo and Seth Winfree and Kimberly S. Collins and Danielle Janosevic and Connor J. Gulbronson and Ying‐Hua Cheng and Lauren Casbon and Daria Barwinska and Michael J. Ferkowicz and Xiaoling Xuei and Chi Zhang and Kenneth W. Dunn and Katherine J. Kelly and Timothy A. Sutton and Takashi Hato and Pierre C. Dagher and Tarek M. El‐Achkar and Michael T. Eadon}, journal = {JCI Insight}, year = {2021}, doi = {10.1172/jci.insight.147703}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings