Cargando…
Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions
Alzheimer’s Disease (AD) is a complex neurodegenerative disease that gravely affects patients and imposes an immense burden on caregivers. Apolipoprotein E4 (APOE4) has been identified as the most common genetic risk factor for AD, yet the molecular mechanisms connecting APOE4 to AD are not well und...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9093608/ https://www.ncbi.nlm.nih.gov/pubmed/35572130 http://dx.doi.org/10.3389/fnagi.2022.749991 |
_version_ | 1784705368745574400 |
---|---|
author | Belonwu, Stella A. Li, Yaqiao Bunis, Daniel G. Rao, Arjun Arkal Solsberg, Caroline Warly Oskotsky, Tomiko Taubes, Alice L. Grone, Brian Zalocusky, Kelly A. Fragiadakis, Gabriela K. Huang, Yadong Sirota, Marina |
author_facet | Belonwu, Stella A. Li, Yaqiao Bunis, Daniel G. Rao, Arjun Arkal Solsberg, Caroline Warly Oskotsky, Tomiko Taubes, Alice L. Grone, Brian Zalocusky, Kelly A. Fragiadakis, Gabriela K. Huang, Yadong Sirota, Marina |
author_sort | Belonwu, Stella A. |
collection | PubMed |
description | Alzheimer’s Disease (AD) is a complex neurodegenerative disease that gravely affects patients and imposes an immense burden on caregivers. Apolipoprotein E4 (APOE4) has been identified as the most common genetic risk factor for AD, yet the molecular mechanisms connecting APOE4 to AD are not well understood. Past transcriptomic analyses in AD have revealed APOE genotype-specific transcriptomic differences; however, these differences have not been explored at a single-cell level. To elucidate more complex APOE genotype-specific disease-relevant changes masked by the bulk analysis, we leverage the first two single-nucleus RNA sequencing AD datasets from human brain samples, including nearly 55,000 cells from the prefrontal and entorhinal cortices. In each brain region, we performed a case versus control APOE genotype-stratified differential gene expression analysis and pathway network enrichment in astrocytes, microglia, neurons, oligodendrocytes, and oligodendrocyte progenitor cells. We observed more global transcriptomic changes in APOE4 positive AD cells and identified differences across APOE genotypes primarily in glial cell types. Our findings highlight the differential transcriptomic perturbations of APOE isoforms at a single-cell level in AD pathogenesis and have implications for precision medicine development in the diagnosis and treatment of AD. |
format | Online Article Text |
id | pubmed-9093608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90936082022-05-12 Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions Belonwu, Stella A. Li, Yaqiao Bunis, Daniel G. Rao, Arjun Arkal Solsberg, Caroline Warly Oskotsky, Tomiko Taubes, Alice L. Grone, Brian Zalocusky, Kelly A. Fragiadakis, Gabriela K. Huang, Yadong Sirota, Marina Front Aging Neurosci Neuroscience Alzheimer’s Disease (AD) is a complex neurodegenerative disease that gravely affects patients and imposes an immense burden on caregivers. Apolipoprotein E4 (APOE4) has been identified as the most common genetic risk factor for AD, yet the molecular mechanisms connecting APOE4 to AD are not well understood. Past transcriptomic analyses in AD have revealed APOE genotype-specific transcriptomic differences; however, these differences have not been explored at a single-cell level. To elucidate more complex APOE genotype-specific disease-relevant changes masked by the bulk analysis, we leverage the first two single-nucleus RNA sequencing AD datasets from human brain samples, including nearly 55,000 cells from the prefrontal and entorhinal cortices. In each brain region, we performed a case versus control APOE genotype-stratified differential gene expression analysis and pathway network enrichment in astrocytes, microglia, neurons, oligodendrocytes, and oligodendrocyte progenitor cells. We observed more global transcriptomic changes in APOE4 positive AD cells and identified differences across APOE genotypes primarily in glial cell types. Our findings highlight the differential transcriptomic perturbations of APOE isoforms at a single-cell level in AD pathogenesis and have implications for precision medicine development in the diagnosis and treatment of AD. Frontiers Media S.A. 2022-04-27 /pmc/articles/PMC9093608/ /pubmed/35572130 http://dx.doi.org/10.3389/fnagi.2022.749991 Text en Copyright © 2022 Belonwu, Li, Bunis, Rao, Solsberg, Oskotsky, Taubes, Grone, Zalocusky, Fragiadakis, Huang and Sirota. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Belonwu, Stella A. Li, Yaqiao Bunis, Daniel G. Rao, Arjun Arkal Solsberg, Caroline Warly Oskotsky, Tomiko Taubes, Alice L. Grone, Brian Zalocusky, Kelly A. Fragiadakis, Gabriela K. Huang, Yadong Sirota, Marina Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title | Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title_full | Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title_fullStr | Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title_full_unstemmed | Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title_short | Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions |
title_sort | bioinformatics analysis of publicly available single-nuclei transcriptomics alzheimer’s disease datasets reveals apoe genotype-specific changes across cell types in two brain regions |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9093608/ https://www.ncbi.nlm.nih.gov/pubmed/35572130 http://dx.doi.org/10.3389/fnagi.2022.749991 |
work_keys_str_mv | AT belonwustellaa bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT liyaqiao bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT bunisdanielg bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT raoarjunarkal bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT solsbergcarolinewarly bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT oskotskytomiko bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT taubesalicel bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT gronebrian bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT zalocuskykellya bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT fragiadakisgabrielak bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT huangyadong bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions AT sirotamarina bioinformaticsanalysisofpubliclyavailablesinglenucleitranscriptomicsalzheimersdiseasedatasetsrevealsapoegenotypespecificchangesacrosscelltypesintwobrainregions |