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

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...

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Autores principales: Ferreira, Ricardo Melo, Sabo, Angela R., Winfree, Seth, Collins, Kimberly S., Janosevic, Danielle, Gulbronson, Connor J., Cheng, Ying-Hua, Casbon, Lauren, Barwinska, Daria, Ferkowicz, Michael J., Xuei, Xiaoling, Zhang, Chi, Dunn, Kenneth W., Kelly, Katherine J., Sutton, Timothy A., Hato, Takashi, Dagher, Pierre C., El-Achkar, Tarek M., Eadon, Michael T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262485/
https://www.ncbi.nlm.nih.gov/pubmed/34003797
http://dx.doi.org/10.1172/jci.insight.147703
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author Ferreira, Ricardo Melo
Sabo, Angela R.
Winfree, Seth
Collins, Kimberly S.
Janosevic, Danielle
Gulbronson, Connor J.
Cheng, Ying-Hua
Casbon, Lauren
Barwinska, Daria
Ferkowicz, Michael J.
Xuei, Xiaoling
Zhang, Chi
Dunn, Kenneth W.
Kelly, Katherine J.
Sutton, Timothy A.
Hato, Takashi
Dagher, Pierre C.
El-Achkar, Tarek M.
Eadon, Michael T.
author_facet Ferreira, Ricardo Melo
Sabo, Angela R.
Winfree, Seth
Collins, Kimberly S.
Janosevic, Danielle
Gulbronson, Connor J.
Cheng, Ying-Hua
Casbon, Lauren
Barwinska, Daria
Ferkowicz, Michael J.
Xuei, Xiaoling
Zhang, Chi
Dunn, Kenneth W.
Kelly, Katherine J.
Sutton, Timothy A.
Hato, Takashi
Dagher, Pierre C.
El-Achkar, Tarek M.
Eadon, Michael T.
author_sort Ferreira, Ricardo Melo
collection PubMed
description 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.
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spelling pubmed-82624852021-07-13 Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury Ferreira, Ricardo Melo Sabo, Angela R. Winfree, Seth Collins, Kimberly S. Janosevic, Danielle Gulbronson, Connor J. Cheng, Ying-Hua Casbon, Lauren Barwinska, Daria Ferkowicz, Michael J. Xuei, Xiaoling Zhang, Chi Dunn, Kenneth W. Kelly, Katherine J. Sutton, Timothy A. Hato, Takashi Dagher, Pierre C. El-Achkar, Tarek M. Eadon, Michael T. JCI Insight Resource and Technical Advance 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. American Society for Clinical Investigation 2021-06-22 /pmc/articles/PMC8262485/ /pubmed/34003797 http://dx.doi.org/10.1172/jci.insight.147703 Text en © 2021 Ferreira et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Resource and Technical Advance
Ferreira, Ricardo Melo
Sabo, Angela R.
Winfree, Seth
Collins, Kimberly S.
Janosevic, Danielle
Gulbronson, Connor J.
Cheng, Ying-Hua
Casbon, Lauren
Barwinska, Daria
Ferkowicz, Michael J.
Xuei, Xiaoling
Zhang, Chi
Dunn, Kenneth W.
Kelly, Katherine J.
Sutton, Timothy A.
Hato, Takashi
Dagher, Pierre C.
El-Achkar, Tarek M.
Eadon, Michael T.
Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title_full Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title_fullStr Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title_full_unstemmed Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title_short Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
title_sort integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
topic Resource and Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262485/
https://www.ncbi.nlm.nih.gov/pubmed/34003797
http://dx.doi.org/10.1172/jci.insight.147703
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