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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9165878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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