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Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts

We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq) analysis of human kidney allograft biopsies will reveal distinct cell types and states and yield insights to decipher the complex heterogeneity of alloimmune injury. We selected 3 biopsies of kidney cortex from 3 individuals for sc...

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Autores principales: Suryawanshi, Hemant, Yang, Hua, Lubetzky, Michelle, Morozov, Pavel, Lagman, Mila, Thareja, Gaurav, Alonso, Alicia, Li, Carol, Snopkowski, Catherine, Belkadi, Aziz, Mueller, Franco B., Lee, John R., Dadhania, Darshana M., Salvatore, Steven P., Seshan, Surya V., Sharma, Vijay K., Suhre, Karsten, Suthanthiran, Manikkam, Tuschl, Thomas, Muthukumar, Thangamani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165878/
https://www.ncbi.nlm.nih.gov/pubmed/35657798
http://dx.doi.org/10.1371/journal.pone.0267704
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author Suryawanshi, Hemant
Yang, Hua
Lubetzky, Michelle
Morozov, Pavel
Lagman, Mila
Thareja, Gaurav
Alonso, Alicia
Li, Carol
Snopkowski, Catherine
Belkadi, Aziz
Mueller, Franco B.
Lee, John R.
Dadhania, Darshana M.
Salvatore, Steven P.
Seshan, Surya V.
Sharma, Vijay K.
Suhre, Karsten
Suthanthiran, Manikkam
Tuschl, Thomas
Muthukumar, Thangamani
author_facet Suryawanshi, Hemant
Yang, Hua
Lubetzky, Michelle
Morozov, Pavel
Lagman, Mila
Thareja, Gaurav
Alonso, Alicia
Li, Carol
Snopkowski, Catherine
Belkadi, Aziz
Mueller, Franco B.
Lee, John R.
Dadhania, Darshana M.
Salvatore, Steven P.
Seshan, Surya V.
Sharma, Vijay K.
Suhre, Karsten
Suthanthiran, Manikkam
Tuschl, Thomas
Muthukumar, Thangamani
author_sort Suryawanshi, Hemant
collection PubMed
description We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq) analysis of human kidney allograft biopsies will reveal distinct cell types and states and yield insights to decipher the complex heterogeneity of alloimmune injury. We selected 3 biopsies of kidney cortex from 3 individuals for scRNA-seq and processed them fresh using an identical protocol on the 10x Chromium platform; (i) HK: native kidney biopsy from a living donor, (ii) AK1: allograft kidney with transplant glomerulopathy, tubulointerstitial fibrosis, and worsening graft function, and (iii) AK2: allograft kidney after successful treatment of active antibody-mediated rejection. We did not study T-cell-mediated rejections. We generated 7217 high-quality single cell transcriptomes. Taking advantage of the recipient-donor sex mismatches revealed by X and Y chromosome autosomal gene expression, we determined that in AK1 with fibrosis, 42 months after transplantation, more than half of the kidney allograft fibroblasts were recipient-derived and therefore likely migratory and graft infiltrative, whereas in AK2 without fibrosis, 84 months after transplantation, most fibroblasts were donor-organ-derived. Furthermore, AK1 was enriched for tubular progenitor cells overexpressing profibrotic extracellular matrix genes. AK2, eight months after successful treatment of rejection, contained plasmablast cells with high expression of immunoglobulins, endothelial cell elaboration of T cell chemoattractant cytokines, and persistent presence of cytotoxic T cells. In addition to these key findings, our analysis revealed unique cell types and states in the kidney. Altogether, single-cell transcriptomics yielded novel mechanistic insights, which could pave the way for individualizing the care of transplant recipients.
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spelling pubmed-91658782022-06-05 Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts Suryawanshi, Hemant Yang, Hua Lubetzky, Michelle Morozov, Pavel Lagman, Mila Thareja, Gaurav Alonso, Alicia Li, Carol Snopkowski, Catherine Belkadi, Aziz Mueller, Franco B. Lee, John R. Dadhania, Darshana M. Salvatore, Steven P. Seshan, Surya V. Sharma, Vijay K. Suhre, Karsten Suthanthiran, Manikkam Tuschl, Thomas Muthukumar, Thangamani PLoS One Research Article We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq) analysis of human kidney allograft biopsies will reveal distinct cell types and states and yield insights to decipher the complex heterogeneity of alloimmune injury. We selected 3 biopsies of kidney cortex from 3 individuals for scRNA-seq and processed them fresh using an identical protocol on the 10x Chromium platform; (i) HK: native kidney biopsy from a living donor, (ii) AK1: allograft kidney with transplant glomerulopathy, tubulointerstitial fibrosis, and worsening graft function, and (iii) AK2: allograft kidney after successful treatment of active antibody-mediated rejection. We did not study T-cell-mediated rejections. We generated 7217 high-quality single cell transcriptomes. Taking advantage of the recipient-donor sex mismatches revealed by X and Y chromosome autosomal gene expression, we determined that in AK1 with fibrosis, 42 months after transplantation, more than half of the kidney allograft fibroblasts were recipient-derived and therefore likely migratory and graft infiltrative, whereas in AK2 without fibrosis, 84 months after transplantation, most fibroblasts were donor-organ-derived. Furthermore, AK1 was enriched for tubular progenitor cells overexpressing profibrotic extracellular matrix genes. AK2, eight months after successful treatment of rejection, contained plasmablast cells with high expression of immunoglobulins, endothelial cell elaboration of T cell chemoattractant cytokines, and persistent presence of cytotoxic T cells. In addition to these key findings, our analysis revealed unique cell types and states in the kidney. Altogether, single-cell transcriptomics yielded novel mechanistic insights, which could pave the way for individualizing the care of transplant recipients. Public Library of Science 2022-06-03 /pmc/articles/PMC9165878/ /pubmed/35657798 http://dx.doi.org/10.1371/journal.pone.0267704 Text en © 2022 Suryawanshi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Suryawanshi, Hemant
Yang, Hua
Lubetzky, Michelle
Morozov, Pavel
Lagman, Mila
Thareja, Gaurav
Alonso, Alicia
Li, Carol
Snopkowski, Catherine
Belkadi, Aziz
Mueller, Franco B.
Lee, John R.
Dadhania, Darshana M.
Salvatore, Steven P.
Seshan, Surya V.
Sharma, Vijay K.
Suhre, Karsten
Suthanthiran, Manikkam
Tuschl, Thomas
Muthukumar, Thangamani
Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title_full Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title_fullStr Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title_full_unstemmed Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title_short Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
title_sort detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165878/
https://www.ncbi.nlm.nih.gov/pubmed/35657798
http://dx.doi.org/10.1371/journal.pone.0267704
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