Cited by 106Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration MechanismsCholesterol and Lipid Metabolism

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APOE2, E3, and E4 differentially modulate cellular homeostasis, cholesterol metabolism, and inflammatory response in isogenic iPSC-derived astrocytes

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Published version of a preprint

Abstract

The apolipoprotein E4 (APOE4) variant is the strongest genetic risk factor for Alzheimer disease (AD), while the APOE2 allele is protective. A major question is how different APOE genotypes affect the physiology of astrocytes, the main APOE-producing brain cells. Here, we differentiated human APOE-isogenic induced pluripotent stem cells (iPSCs) (APOE4, E3, E2, and APOE knockout [APOE-KO]) to functional "iAstrocytes". Mass-spectrometry-based proteomic analysis showed genotype-dependent reductions of cholesterol and lipid metabolic and biosynthetic pathways (reduction: APOE4 >E3 >E2). Cholesterol efflux and biosynthesis were reduced in APOE4 iAstrocytes, while subcellular localization of cholesterol in lysosomes was elevated. An increase in immunoregulatory proteomic pathways (APOE4 >E3 >E2) was accompanied by elevated cytokine release in APOE4 cells (APOE4 >E3 >E2 >KO). Activation of iAstrocytes exacerbated proteomic changes and cytokine secretion mostly in APOE4 iAstrocytes, while APOE2 and APOE-KO iAstrocytes were least affected. Taken together, APOE4 iAstrocytes reveal a disease-relevant phenotype, causing dysregulated cholesterol/lipid homeostasis, increased inflammatory signaling, and reduced β-amyloid uptake, while APOE2 iAstrocytes show opposing effects.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

APOE-isogenic human iPSC-derived astrocytes show allele-dependent phenotypes, with APOE4 displaying reduced cholesterol/lipid biosynthesis and efflux, increased lysosomal cholesterol, higher inflammatory signaling, and lower glutamate/Aβ42 uptake, while APOE2 often resembles APOE-KO. APOE4 iAstrocytes are also most susceptible to IL-1β-induced proteomic and cytokine changes.

Key findings

  • Differentiation yielded mature, quiescent iAstrocytes from APOE2, APOE3, APOE4, and APOE-KO iPSCs; label-free proteomics detected 3,765 proteins, with 2,432 differentially expressed between NPCs and iAstrocytes (FDR <0.1). APOE-KO samples were omitted from quantitative proteomic analysis because they were more dispersed by PCA and had substantially fewer peptides/proteins.
  • Homeostatic functions declined allele-dependently: glutamate uptake was lowest in APOE4 and highest in APOE2/APOE-KO (KO = E2 > E3 > E4); Aβ42 uptake trended KO > E2 > E3 ≥ E4 (E3 vs E4 p = 0.054), and RAP blocked Aβ uptake in APOE-KO, E2, and E3 but not E4 (p = 0.23).
  • Cholesterol/lipid pathways were downregulated in APOE4 versus E3/E2 by GSEA; FDFT1 and ABCA1 were regulated KO = E2 > E3 > E4; total, cellular, and secreted cholesterol were E2 = E3 > E4 = KO; non-membrane-bound cholesterol was E4 > E3 = E2 = KO; lysosomal cholesterol colocalization was E4 > E2; LAMP2 was E3 > E2 = E4 = KO; lysosomal activity was KO = E2 > E3 = E4.
  • Inflammatory pathways at baseline were E4 > E3 > E2; cytokine release after IL-1β or TNF-α was E4 > E3 > E2 > KO except IL-8, and IL-6/IL-8 were detectable at baseline in APOE4. IL-1β treatment exacerbated proteomic changes mostly in APOE4, while APOE2 and APOE-KO were least affected.

Methods

  • APOE-isogenic iPSC lines from EBiSC (BIONi010-C-2, -C-3, -C-4, -C-6) were differentiated to NPCs and then to iAstrocytes using ScienCell astrocyte medium; FCS was withdrawn and AraC added from day 30–37, with analysis at day 44.
  • Main assays included label-free mass-spectrometry proteomics with GSEA/edgeR, HPTLC lipid quantification, western blot, immunocytochemistry/confocal imaging, flow-cytometry Aβ42 uptake, MSD cytokine measurement, Filipin III/Dextran-Alexa 555 staining, lysosomal activity, and NF-κB assay.
  • Most experiments used three independent experiments with individual data points plotted; MSD cytokine data came from five cell culture wells in one experiment.

Limitations

  • The paper states that APOE-KO iAstrocytes were excluded from quantitative proteomic analysis because of higher variation and lower peptide/protein numbers, which would bias normalization.
  • The paper notes that day 44 iAstrocytes were not susceptible to Aβ42 activation, possibly requiring priming, and that no major endosomal/lysosomal morphology abnormalities were observed; it also cannot exclude a transient NF-κB increase.
  • Evident from the text: each APOE genotype was represented by a single isogenic iPSC line, cytokine data came from one MSD experiment, and findings are from an in vitro iPSC-derived astrocyte model.

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Registry

Crossref · 10.1016/j.stemcr.2021.11.007

Cites

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Statistics

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Figures

Figure 1 APOE-isogenic iPSCs are differentiated to iAstrocytes (A) Schematic representation of the iAstrocyte differentiation protocol. (B) Heatmap of top 100 differentially expressed proteins between NPCs and iAstrocytes selected by fold change. (C) PCA of proteomic data from NPCs and iAstrocytes of all genotypes. Three biological replicates were analyzed. (D) Western blot of astrocyte marker proteins IQGAP1 and S100A6 in APOE-isogenic NPCs and astrocytes. (E) Immunocytochemistry of astrocyte markers S100β and GJA1 in APOE-isogenic iAstrocytes at day 44. Scale bar: 150 μm. (F) Proliferation rate of APOE-isogenic iAstrocytes at different time points in culture. See also Figure S1.
Figure 1 APOE-isogenic iPSCs are differentiated to iAstrocytes (A) Schematic representation of the iAstrocyte differentiation protocol. (B) Heatmap of top 100 differentially expressed proteins between NPCs and iAstrocytes selected by fold change. (C) PCA of proteomic data from NPCs and iAstrocytes of all genotypes. Three biological replicates were analyzed. (D) Western blot of astrocyte marker proteins IQGAP1 and S100A6 in APOE-isogenic NPCs and astrocytes. (E) Immunocytochemistry of astrocyte markers S100β and GJA1 in APOE-isogenic iAstrocytes at day 44. Scale bar: 150 μm. (F) Proliferation rate of APOE-isogenic iAstrocytes at different time points in culture. See also Figure S1.CC BY · PubMed Central
Figure 2 APOE-isogenic iAstrocytes show allele-dependent decline in homeostatic functions (A) Volcano plots of proteomic analysis comparing APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. Log2 of fold change is plotted against −log10 of FDR. Red lines indicate a fold change of 1. (B) Western blot of APOE in lysate (intracellular) and supernatant (secreted) of iAstrocytes. Intracellular APOE was normalized to β-actin, secreted APOE to the PonceauS signal of the respective lane. Recombinant human (rh) APOE served as control. (C) Quantification of APOE western blot bands from lysate (Intra. APOE) and supernatant (Sec. APOE). (D) Glutamate uptake assay showing the amount of glutamate taken up by APOE-isogenic iAstrocytes within 1 h. Data were normalized to total protein content of the respective cell lysate. (E) Representative confocal images of stained iAstrocytes (S100β), treated with 1 μM Aβ42. Scale bar: 150 μm. (F) Flow-cytometry-based Aβ42 uptake assay showing percentage Aβ-positive cells of live cells. Cells were treated with 1 μM pre-aggregated Aβ42-hilyte488 or pre-treated for 24 h with 0.2 μM LRP1 antagonist RAP. (G) Western blot and quantification of LRP1 in lysates from iAstrocytes. (H) Western blot and quantification of VLDLR in lysates from iAstrocytes. Data represent mean ± SD. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001; ∗∗∗∗p < 0.0001, one-way ANOVA with post hoc Tukey's multiple comparisons test (C, D, G, and H), two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (F). All datapoints (n-numbers) are plotted in each bar graph (three independent experiments).
Figure 2 APOE-isogenic iAstrocytes show allele-dependent decline in homeostatic functions (A) Volcano plots of proteomic analysis comparing APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. Log2 of fold change is plotted against −log10 of FDR. Red lines indicate a fold change of 1. (B) Western blot of APOE in lysate (intracellular) and supernatant (secreted) of iAstrocytes. Intracellular APOE was normalized to β-actin, secreted APOE to the PonceauS signal of the respective lane. Recombinant human (rh) APOE served as control. (C) Quantification of APOE western blot bands from lysate (Intra. APOE) and supernatant (Sec. APOE). (D) Glutamate uptake assay showing the amount of glutamate taken up by APOE-isogenic iAstrocytes within 1 h. Data were normalized to total protein content of the respective cell lysate. (E) Representative confocal images of stained iAstrocytes (S100β), treated with 1 μM Aβ42. Scale bar: 150 μm. (F) Flow-cytometry-based Aβ42 uptake assay showing percentage Aβ-positive cells of live cells. Cells were treated with 1 μM pre-aggregated Aβ42-hilyte488 or pre-treated for 24 h with 0.2 μM LRP1 antagonist RAP. (G) Western blot and quantification of LRP1 in lysates from iAstrocytes. (H) Western blot and quantification of VLDLR in lysates from iAstrocytes. Data represent mean ± SD. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001; ∗∗∗∗p < 0.0001, one-way ANOVA with post hoc Tukey's multiple comparisons test (C, D, G, and H), two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (F). All datapoints (n-numbers) are plotted in each bar graph (three independent experiments).CC BY · PubMed Central
Figure 3 APOE-isogenic iAstrocytes show allele-dependent regulation of cholesterol and lipid metabolism (A) GSEA normalized enrichment scores (NESs) of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. NES is plotted on the x axis, with color-coded bars for the individual Gene Ontology (GO) terms, according to adjusted p value (padj). We annotated gene sets with padj <0.2 (green stars). (B) Western blot and quantification of FDFT1 in lysates from iAstrocytes, normalized to α-tubulin. (C) Western blot and quantification of ABCA1 in lysates from iAstrocytes, normalized to β-actin. (D) Total cholesterol and CE quantified with HPTLC, normalized to cellular phosphatidylcholine content. (E) Cellular and secreted cholesterol and CE quantified with HPTLC, normalized to cellular phosphatidylcholine content. (F) Bar graphs of Filipin III intensity quantification, normalized to APOE3 intensity, with representative example images. Scale bar: 150 μm. (G) Bar graphs showing quantification of Filipin III and Dextran-Alexa 555 colocalization in iAstrocytes, normalized to APOE3. Representative images of Filipin III (blue) and Alexa 555 (red) overlay are displayed. N = number of images analyzed. For each plot, three experiments were conducted, 7–10 images per line were taken per experiment. Scale bar: 50 μm. Data represent mean ± SD. ∗p < 0.05; ∗∗∗p < 0.001; ∗∗∗∗p < 0.0001, Kruskal-Wallis test (C and G); one-way ANOVA with post hoc Tukey's multiple comparisons test (B, D, F); or two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (E). All datapoints (n numbers) are plotted in each bar graph (three independent experiments; B, C, F, and G). See also Figure S2.
Figure 3 APOE-isogenic iAstrocytes show allele-dependent regulation of cholesterol and lipid metabolism (A) GSEA normalized enrichment scores (NESs) of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. NES is plotted on the x axis, with color-coded bars for the individual Gene Ontology (GO) terms, according to adjusted p value (padj). We annotated gene sets with padj <0.2 (green stars). (B) Western blot and quantification of FDFT1 in lysates from iAstrocytes, normalized to α-tubulin. (C) Western blot and quantification of ABCA1 in lysates from iAstrocytes, normalized to β-actin. (D) Total cholesterol and CE quantified with HPTLC, normalized to cellular phosphatidylcholine content. (E) Cellular and secreted cholesterol and CE quantified with HPTLC, normalized to cellular phosphatidylcholine content. (F) Bar graphs of Filipin III intensity quantification, normalized to APOE3 intensity, with representative example images. Scale bar: 150 μm. (G) Bar graphs showing quantification of Filipin III and Dextran-Alexa 555 colocalization in iAstrocytes, normalized to APOE3. Representative images of Filipin III (blue) and Alexa 555 (red) overlay are displayed. N = number of images analyzed. For each plot, three experiments were conducted, 7–10 images per line were taken per experiment. Scale bar: 50 μm. Data represent mean ± SD. ∗p < 0.05; ∗∗∗p < 0.001; ∗∗∗∗p < 0.0001, Kruskal-Wallis test (C and G); one-way ANOVA with post hoc Tukey's multiple comparisons test (B, D, F); or two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (E). All datapoints (n numbers) are plotted in each bar graph (three independent experiments; B, C, F, and G). See also Figure S2.CC BY · PubMed Central
Figure 4 Subtle changes in lysosomal marker LAMP2 according to APOE genotype (A) GSEA NESs of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. NES is plotted on the x axis, with color-coded bars according to padj. Padj ≤0.2 was considered significant, annotated with green stars. (B) Immunocytochemical stainings of RAB5 (red, upper) and merged with S100β (green, lower). The signal is quantified and calculated as percentage of cell area. (C) Immunocytochemical stainings of LAMP2 (green, upper) and merged with GFAP (red, lower). The signal is quantified and calculated as percentage of cell area. Scale bar: 50 μm. (D) Western blot of LAMP2 and RAB5 from lysate of iAstrocytes. Scale bar: 50 μm. (E) Western blot quantification of RAB5 or LAMP2 normalized to β-actin. (F) Lysosomal activity assay in iAstrocytes, normalized to APOE3. Data represent mean ± SD (∗p < 0.05; ∗∗p < 0.01, one-way ANOVA with post hoc Tukey's multiple comparisons test). All datapoints (n-numbers) are plotted in each bar graph (three independent experiments).
Figure 4 Subtle changes in lysosomal marker LAMP2 according to APOE genotype (A) GSEA NESs of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE3, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes. NES is plotted on the x axis, with color-coded bars according to padj. Padj ≤0.2 was considered significant, annotated with green stars. (B) Immunocytochemical stainings of RAB5 (red, upper) and merged with S100β (green, lower). The signal is quantified and calculated as percentage of cell area. (C) Immunocytochemical stainings of LAMP2 (green, upper) and merged with GFAP (red, lower). The signal is quantified and calculated as percentage of cell area. Scale bar: 50 μm. (D) Western blot of LAMP2 and RAB5 from lysate of iAstrocytes. Scale bar: 50 μm. (E) Western blot quantification of RAB5 or LAMP2 normalized to β-actin. (F) Lysosomal activity assay in iAstrocytes, normalized to APOE3. Data represent mean ± SD (∗p < 0.05; ∗∗p < 0.01, one-way ANOVA with post hoc Tukey's multiple comparisons test). All datapoints (n-numbers) are plotted in each bar graph (three independent experiments).CC BY · PubMed Central
Figure 5 APOE genotype-dependent effects on inflammatory pathway expression and cytokine release (A) GSEA NESs of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE4, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes respectively. (B) GSEA of differential protein expression of baseline versus IL-1β treated iAstrocytes (APOE2, E3, and E4 respectively). NES is plotted on the x axis, with color-coded bars according to padj. We annotated gene sets with padj <0.2 (green stars). (C) Number of differentially expressed biological pathways determined by GSEA, with a padj <0.5. (D) NF-κB assay showing NF-κB activity in iAstrocytes at baseline (untreated) and after IL-1β treatment. (E) Levels of inflammatory cytokines secreted by NPCs at baseline (gray), iAstrocytes at baseline (black), 10 ng/mL IL-1β-treated iAstrocytes (coral), and 10 ng/mL TNF-α-treated iAstrocytes (lilac), measured with MSD. Data represent mean ± SD. All datapoints (n-numbers) are plotted in each bar graph. For the MSD graphs, data from five cell culture wells were analyzed in one experiment. The full MSD data are depicted in Table S2.
Figure 5 APOE genotype-dependent effects on inflammatory pathway expression and cytokine release (A) GSEA NESs of protein lists ranked according to the t-statistic obtained for the contrast APOE2 versus APOE4, APOE4 versus APOE3, and APOE4 versus APOE2 iAstrocytes respectively. (B) GSEA of differential protein expression of baseline versus IL-1β treated iAstrocytes (APOE2, E3, and E4 respectively). NES is plotted on the x axis, with color-coded bars according to padj. We annotated gene sets with padj <0.2 (green stars). (C) Number of differentially expressed biological pathways determined by GSEA, with a padj <0.5. (D) NF-κB assay showing NF-κB activity in iAstrocytes at baseline (untreated) and after IL-1β treatment. (E) Levels of inflammatory cytokines secreted by NPCs at baseline (gray), iAstrocytes at baseline (black), 10 ng/mL IL-1β-treated iAstrocytes (coral), and 10 ng/mL TNF-α-treated iAstrocytes (lilac), measured with MSD. Data represent mean ± SD. All datapoints (n-numbers) are plotted in each bar graph. For the MSD graphs, data from five cell culture wells were analyzed in one experiment. The full MSD data are depicted in Table S2.CC BY · PubMed Central
Figure 6 IL-1β treatment induces lipid, fatty acid, and sterol metabolism in APOE4 iAstrocytes (A) GSEA of differential protein expression at baseline versus IL-1β-treated iAstrocytes (APOE2, E3, and E4 respectively). NES is plotted on the x axis, with color-coded bars according to padj. Padj ≤ 0.2 was considered significant, annotated with green stars. (B) Total cholesterol and CE in IL-1β-treated iAstrocytes determined with HPTLC, normalized to cellular phosphatidylcholine. (C) Cellular and secreted cholesterol and CE in IL-1β-treated iAstrocytes determined with HPTLC, normalized to cellular phosphatidylcholine. (D) Bar graphs of Filipin III intensity quantification, normalized to APOE3 intensity, with representative example images on the right side. Scale bar: 150 μm. Data represent mean ± SD. ∗∗∗∗p < 0.0001, one-way ANOVA with post hoc Tukey's multiple comparisons test (B and D); two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (C). All datapoints (n-numbers) are plotted in the bar graphs (three independent experiments).
Figure 6 IL-1β treatment induces lipid, fatty acid, and sterol metabolism in APOE4 iAstrocytes (A) GSEA of differential protein expression at baseline versus IL-1β-treated iAstrocytes (APOE2, E3, and E4 respectively). NES is plotted on the x axis, with color-coded bars according to padj. Padj ≤ 0.2 was considered significant, annotated with green stars. (B) Total cholesterol and CE in IL-1β-treated iAstrocytes determined with HPTLC, normalized to cellular phosphatidylcholine. (C) Cellular and secreted cholesterol and CE in IL-1β-treated iAstrocytes determined with HPTLC, normalized to cellular phosphatidylcholine. (D) Bar graphs of Filipin III intensity quantification, normalized to APOE3 intensity, with representative example images on the right side. Scale bar: 150 μm. Data represent mean ± SD. ∗∗∗∗p < 0.0001, one-way ANOVA with post hoc Tukey's multiple comparisons test (B and D); two-way ANOVA with post hoc Holm-Šídák's multiple comparisons test (C). All datapoints (n-numbers) are plotted in the bar graphs (three independent experiments).CC BY · PubMed Central

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79 Own result · 28 Own interpretation · 12 Partly supported · 11 No full text of the sources · 8 No basis given · 6 Supported · 4 Sources not found · 3 Not checked yet · 1 Couldn’t confirm · 1 Own method · accuracy not yet measured

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Show all 62 claims

  • Probably not a substantial claim. 28
  • It may state two separate claims as one. 77
91 of 91
  • The paper relies on this without support.

    APOE4 is the strongest genetic risk factor for AD, with one allele conferring about a 3-fold increase and two alleles about a 12-fold increase in risk.

    “Carrying the APOE4 allele is the major genetic risk factor for developing sporadic Alzheimer disease (AD), where one allele confers a 3-fold increase and two alleles a 12-fold increase in risk.”
  • The paper relies on this without support.

    The APOE2 allele is protective for AD.

    “The APOE2 allele is protective for AD; however, its biological role is heavily understudied and not yet understood (Michaelson, 2014).”
  • The paper relies on this without support.

    In the brain, APOE is mainly expressed by astrocytes, and in low levels by microglia.

    “In the brain, APOE is one of the most abundant lipoprotein chaperones, mainly expressed by astrocytes, and in low levels by microglia.”
  • The paper relies on this without support.

    Arg158 in APOE4 causes an ionic interaction between Arg61 and Cys255 on the lipid binding domain, leading to altered lipid binding and decreased capacity to load cholesterol.

    “Arg158 in APOE4 causes an ionic interaction between Arg61 and Cys255 on the lipid binding domain, inferring a structural change, leading to altered lipid binding and decreased capacity to load cholesterol.”
  • The paper relies on this without support.

    Aβ42 is mostly taken up through receptor-dependent endocytosis, such as LRP1.

    “Aβ42 is mostly taken up through receptor-dependent endocytosis, such as LRP1.”
  • The paper relies on this without support.

    ABCA1 is essential for lipid and cholesterol efflux, as well as for APOE lipidation.

    “A second protein of interest was ATP-ase binding cassette 1 (ABCA1), essential for lipid and cholesterol efflux, as well as for APOE lipidation.”
  • The paper relies on this without support.

    The four isogenic iPSC lines differ only in APOE genotype and not in other genetic or epigenetic factors that affect the measured phenotypes.

    “iPSC lines were purchased from EBiSC (BIONi010-C-2, -C-3, C-4, and -C-6), harboring a single APOE2, APOE3, or APOE4 allele generated using CRISPR, or an APOE-KO generated by an insertion-deletion mutation in exon 2 (Schmid et al., 2019, 2020).”
  • The paper relies on this without support.

    The in vitro iPSC-derived iAstrocyte model recapitulates relevant aspects of human astrocyte biology and APOE-related AD mechanisms.

    “Our human isogenic mature iAstrocyte cell model represents a powerful tool to further address these open questions.”
  • The paper relies on this without support.

    The APOE-KO iAstrocytes completely lack APOE protein and function.

    “or an APOE-KO generated by an insertion-deletion mutation in exon 2 (Schmid et al., 2019, 2020).”
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Metadata

Authors
de Leeuw, S. M., Kirschner, A. W. T., Lindner, K., Rust, R., Budny, V., Wolski, W. E., Gavin, A.-C., Nitsch, R. M., & Tackenberg, C.
Affiliations
  • University of Zurich (CH)
  • University of Geneva (CH)
Corresponding author
Tackenberg, Christian
Venue
Stem Cell Reports
Publisher
Elsevier BV
Published
2022-01
Volume
17
Issue
1
Pages
110-126
ISSN
2213-6711 (ISSN-L)
OpenAlex
W4220926198
Cited by
105
References
42
Citations by year
2026: 20 · 2025: 28 · 2024: 25 · 2023: 20 · 2022: 12
FWCI
8.95
Type
journal article
Language
en
Update notices
erratum (2022-05-10)
Open access
Locations
  • Stem Cell Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Universität Zürich
  • Neuroscience Center Zurich, University of Zurich
  • Louis-Jeantet Foundation
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
Keywords
apolipoprotein E, APOE ε4, APOE2, APOE3, apolipoprotein E deficiency, astrocytes, induced pluripotent stem cell-derived astrocytes, isogenic iPSC lines, cholesterol metabolism, lipid metabolism, lysosomal cholesterol, cytokine production, neuroinflammation, Alzheimer's disease risk, proteomic profiling
MeSH terms
Alleles, Astrocytes, Cell Cycle, Cell Differentiation, Cholesterol, Genotype, Homeostasis, Humans, Immunohistochemistry, Inflammation, Lipid Metabolism, Apolipoprotein E3, Apolipoprotein E4, Apolipoprotein E2, Induced Pluripotent Stem Cells, Neural Stem Cells

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