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Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes
Type 1 Diabetes (T1D) is an autoimmune disease in which immune cells destroy insulin-producing beta cells. The etiology of this complex disease is dependent on the interplay of multiple heterogeneous cell types in the pancreatic environment. Here, we provide a single-cell atlas of pancreatic islets...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938904/ https://www.ncbi.nlm.nih.gov/pubmed/35228745 http://dx.doi.org/10.1038/s42255-022-00531-x |
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author | Fasolino, Maria Schwartz, Gregory W. Patil, Abhijeet R. Mongia, Aanchal Golson, Maria L. Wang, Yue J. Morgan, Ashleigh Liu, Chengyang Schug, Jonathan Liu, Jinping Wu, Minghui Traum, Daniel Kondo, Ayano May, Catherine L. Goldman, Naomi Wang, Wenliang Feldman, Michael Moore, Jason H. Japp, Alberto S. Betts, Michael R. Faryabi, Robert B. Naji, Ali Kaestner, Klaus H. Vahedi, Golnaz |
author_facet | Fasolino, Maria Schwartz, Gregory W. Patil, Abhijeet R. Mongia, Aanchal Golson, Maria L. Wang, Yue J. Morgan, Ashleigh Liu, Chengyang Schug, Jonathan Liu, Jinping Wu, Minghui Traum, Daniel Kondo, Ayano May, Catherine L. Goldman, Naomi Wang, Wenliang Feldman, Michael Moore, Jason H. Japp, Alberto S. Betts, Michael R. Faryabi, Robert B. Naji, Ali Kaestner, Klaus H. Vahedi, Golnaz |
author_sort | Fasolino, Maria |
collection | PubMed |
description | Type 1 Diabetes (T1D) is an autoimmune disease in which immune cells destroy insulin-producing beta cells. The etiology of this complex disease is dependent on the interplay of multiple heterogeneous cell types in the pancreatic environment. Here, we provide a single-cell atlas of pancreatic islets of 24 T1D, autoantibody-positive, and non-diabetic organ donors across multiple quantitative modalities including ~80,000 cells using single-cell transcriptomics, ~7,000,000 cells using cytometry by time-of-flight, and ~1,000,000 cells using in situ imaging mass cytometry. We develop an advanced integrative analytical strategy to assess pancreatic islets and identify canonical cell types. We show that a subset of exocrine ductal cells acquires a signature of tolerogenic dendritic cells in an apparent attempt at immune suppression in T1D donors. Our multimodal analyses delineate cell types and processes that may contribute to T1D immunopathogenesis and provide an integrative procedure for exploration and discovery of human pancreas function. |
format | Online Article Text |
id | pubmed-8938904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89389042022-08-28 Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes Fasolino, Maria Schwartz, Gregory W. Patil, Abhijeet R. Mongia, Aanchal Golson, Maria L. Wang, Yue J. Morgan, Ashleigh Liu, Chengyang Schug, Jonathan Liu, Jinping Wu, Minghui Traum, Daniel Kondo, Ayano May, Catherine L. Goldman, Naomi Wang, Wenliang Feldman, Michael Moore, Jason H. Japp, Alberto S. Betts, Michael R. Faryabi, Robert B. Naji, Ali Kaestner, Klaus H. Vahedi, Golnaz Nat Metab Article Type 1 Diabetes (T1D) is an autoimmune disease in which immune cells destroy insulin-producing beta cells. The etiology of this complex disease is dependent on the interplay of multiple heterogeneous cell types in the pancreatic environment. Here, we provide a single-cell atlas of pancreatic islets of 24 T1D, autoantibody-positive, and non-diabetic organ donors across multiple quantitative modalities including ~80,000 cells using single-cell transcriptomics, ~7,000,000 cells using cytometry by time-of-flight, and ~1,000,000 cells using in situ imaging mass cytometry. We develop an advanced integrative analytical strategy to assess pancreatic islets and identify canonical cell types. We show that a subset of exocrine ductal cells acquires a signature of tolerogenic dendritic cells in an apparent attempt at immune suppression in T1D donors. Our multimodal analyses delineate cell types and processes that may contribute to T1D immunopathogenesis and provide an integrative procedure for exploration and discovery of human pancreas function. 2022-02 2022-02-28 /pmc/articles/PMC8938904/ /pubmed/35228745 http://dx.doi.org/10.1038/s42255-022-00531-x Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
spellingShingle | Article Fasolino, Maria Schwartz, Gregory W. Patil, Abhijeet R. Mongia, Aanchal Golson, Maria L. Wang, Yue J. Morgan, Ashleigh Liu, Chengyang Schug, Jonathan Liu, Jinping Wu, Minghui Traum, Daniel Kondo, Ayano May, Catherine L. Goldman, Naomi Wang, Wenliang Feldman, Michael Moore, Jason H. Japp, Alberto S. Betts, Michael R. Faryabi, Robert B. Naji, Ali Kaestner, Klaus H. Vahedi, Golnaz Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title | Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title_full | Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title_fullStr | Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title_full_unstemmed | Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title_short | Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in Type 1 Diabetes |
title_sort | single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938904/ https://www.ncbi.nlm.nih.gov/pubmed/35228745 http://dx.doi.org/10.1038/s42255-022-00531-x |
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