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Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis

In Alzheimer’s disease (AD), microglia are affected by disease processes, but may also drive pathogenesis. AD pathology-associated microglial populations have been identified with single-cell RNA-Seq, but have not been validated in human brain tissue with anatomical context. Here, we quantified myel...

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Autores principales: Swanson, Molly E. V., Scotter, Emma L., Smyth, Leon C. D., Murray, Helen C., Ryan, Brigid, Turner, Clinton, Faull, Richard L. M., Dragunow, Mike, Curtis, Maurice A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576851/
https://www.ncbi.nlm.nih.gov/pubmed/33081847
http://dx.doi.org/10.1186/s40478-020-01047-9
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author Swanson, Molly E. V.
Scotter, Emma L.
Smyth, Leon C. D.
Murray, Helen C.
Ryan, Brigid
Turner, Clinton
Faull, Richard L. M.
Dragunow, Mike
Curtis, Maurice A.
author_facet Swanson, Molly E. V.
Scotter, Emma L.
Smyth, Leon C. D.
Murray, Helen C.
Ryan, Brigid
Turner, Clinton
Faull, Richard L. M.
Dragunow, Mike
Curtis, Maurice A.
author_sort Swanson, Molly E. V.
collection PubMed
description In Alzheimer’s disease (AD), microglia are affected by disease processes, but may also drive pathogenesis. AD pathology-associated microglial populations have been identified with single-cell RNA-Seq, but have not been validated in human brain tissue with anatomical context. Here, we quantified myeloid cell markers to identify changes in AD pathology-associated microglial populations. We performed fluorescent immunohistochemistry on normal (n = 8) and AD (n = 8) middle temporal gyri, co-labelling the pan-myeloid cell marker, Iba1, with one of 11 markers of interest (MOIs): CD45, HLA-DR, CD14, CD74, CD33, CD206, CD32, CD163, P2RY12, TMEM119, L-Ferritin. Novel image analyses quantified the single-cell abundance of Iba1 and each MOI. Each cell was gated into one Iba1-MOI population (Iba1(low) MOI(high), Iba1(high) MOI(high), or Iba1(high) MOI(low)) and the abundance of each population was compared between AD and control. Triple-labelling of L-Ferritin and Iba1 with a subset of MOIs was performed to investigate L-Ferritin-MOI co-expression on Iba1(low) cells. Iba1(low) MOI(high) myeloid cell populations delineated by MOIs CD45, HLA-DR, CD14, CD74, CD33, CD32, and L-Ferritin were increased in AD. Further investigation of the Iba1(low) MOI(high) populations revealed that their abundances correlated with tau, but not amyloid beta, load in AD. The Iba1(low) microglial population highly expressed L-Ferritin, reflecting microglial dysfunction. The L-Ferritin(high) CD74(high) HLA-DR(high) phenotype of the Iba1(low) population mirrors that of a human AD pathology-associated microglial subpopulation previously identified using single-cell RNA-Seq. Our high-throughput immunohistochemical data with anatomical context support the microglial dysfunction hypothesis of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-020-01047-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-75768512020-10-22 Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis Swanson, Molly E. V. Scotter, Emma L. Smyth, Leon C. D. Murray, Helen C. Ryan, Brigid Turner, Clinton Faull, Richard L. M. Dragunow, Mike Curtis, Maurice A. Acta Neuropathol Commun Research In Alzheimer’s disease (AD), microglia are affected by disease processes, but may also drive pathogenesis. AD pathology-associated microglial populations have been identified with single-cell RNA-Seq, but have not been validated in human brain tissue with anatomical context. Here, we quantified myeloid cell markers to identify changes in AD pathology-associated microglial populations. We performed fluorescent immunohistochemistry on normal (n = 8) and AD (n = 8) middle temporal gyri, co-labelling the pan-myeloid cell marker, Iba1, with one of 11 markers of interest (MOIs): CD45, HLA-DR, CD14, CD74, CD33, CD206, CD32, CD163, P2RY12, TMEM119, L-Ferritin. Novel image analyses quantified the single-cell abundance of Iba1 and each MOI. Each cell was gated into one Iba1-MOI population (Iba1(low) MOI(high), Iba1(high) MOI(high), or Iba1(high) MOI(low)) and the abundance of each population was compared between AD and control. Triple-labelling of L-Ferritin and Iba1 with a subset of MOIs was performed to investigate L-Ferritin-MOI co-expression on Iba1(low) cells. Iba1(low) MOI(high) myeloid cell populations delineated by MOIs CD45, HLA-DR, CD14, CD74, CD33, CD32, and L-Ferritin were increased in AD. Further investigation of the Iba1(low) MOI(high) populations revealed that their abundances correlated with tau, but not amyloid beta, load in AD. The Iba1(low) microglial population highly expressed L-Ferritin, reflecting microglial dysfunction. The L-Ferritin(high) CD74(high) HLA-DR(high) phenotype of the Iba1(low) population mirrors that of a human AD pathology-associated microglial subpopulation previously identified using single-cell RNA-Seq. Our high-throughput immunohistochemical data with anatomical context support the microglial dysfunction hypothesis of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-020-01047-9) contains supplementary material, which is available to authorized users. BioMed Central 2020-10-20 /pmc/articles/PMC7576851/ /pubmed/33081847 http://dx.doi.org/10.1186/s40478-020-01047-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Swanson, Molly E. V.
Scotter, Emma L.
Smyth, Leon C. D.
Murray, Helen C.
Ryan, Brigid
Turner, Clinton
Faull, Richard L. M.
Dragunow, Mike
Curtis, Maurice A.
Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title_full Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title_fullStr Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title_full_unstemmed Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title_short Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
title_sort identification of a dysfunctional microglial population in human alzheimer’s disease cortex using novel single-cell histology image analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576851/
https://www.ncbi.nlm.nih.gov/pubmed/33081847
http://dx.doi.org/10.1186/s40478-020-01047-9
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