Xenografted human microglia display diverse transcriptomic states in response to Alzheimer’s disease-related Aβ pathology
General Information about the Dataset
Abstract
Microglia are central players in Alzheimer’s Disease (AD) pathology, but analyzing microglia states in human brain samples is challenging due to genetic diversity, postmortem delay and admixture of pathologies. To circumvent these issues, here we generated 138,577 single cell expression profiles of human stem cell-derived microglia xenotransplanted in the brain of the
AppNL-G-F
model of amyloid pathology and wild type controls. Xenografted human microglia adopt a disease-associated (DAM) profile similar to that seen in mouse microglia, but display a more pronounced HLA state, likely related to antigen presentation in response to amyloid plaques. The human microglial response also involves a pro-inflammatory cytokine/chemokine CRM response to oligomeric Aβo. Genetic deletion of
TREM2
or
APOE
as well as
APOE
polymorphisms and
TREM2R47H
expression in the transplanted microglia modulate these responses differentially. The expression of other AD risk genes is differentially regulated across the distinct cell states elicited in response to amyloid pathology. Thus, we have identified multiple transcriptomic cell states adopted by human microglia in a multipronged response to AD-related pathology, which should be taken into account in translational studies.
Experimental Setting:
Transcriptional landscape of xenotransplanted microglia
(6 months)
hESC/hiPSC-derived microglia transplanted in
Apphu/hu
and
AppNL-G-F
hESC: H9
iPSCs: C- and A-lines
Response to progressive amyloid pathology deposition
(3 & 6 months)
3 isogenic iPSC-C lines transplanted in
AppNL-G-F
and isolated at 2 stages of patholgy
Response in absence of plaques and ablating the APOE-TREM2 microglial axis
(6 months)
H9, iPSC-C and iPSC-A cells transplanted in
AppNL-G-F
and
AppNL-G-F
ApoeKO
APOE3/3
and APOEKO
cells (iPSC-C and iPSC-A lines) transplanted in
AppNL-G-F
H9
and
H9-TREM2KO
cells transplanted in
AppNL-G-F
Response to soluble amyloid species
(3 months)
iPSC-C and iPSC-A cells (3 isogenic lines each) transplanted in
Apphu/hu
and acutely injected with soluble amyloid-beta aggregates for 6h
Response to genetic mutations
(6 months)
APOE2/2
,
APOE3/3
,
APOE4/4
cells (iPSC-C and iPSC-A lines) transplanted in
AppNL-G-F
H9
,
H9-TREM2KO
,
H9-TREM2R47H
,
cells transplanted in
AppNL-G-F
Integration with snRNAseq human AD datasets
Gerrits et al. (Boddeke lab)
Sayed et al. (Li Gan lab)
Zhou et al. (Colonna lab)
Olah et al. (De Jager lab)
Sun et al. (Kellis and Tsai labs)
Computational Info:
DNA library prep: CG000204 Chromium Next GEM Single Cell 3’ Reagent Kits v3.1
The raw FastQ files were aligned by Cellranger (v.3.1.0) against the human genome database
(hg19, Ensembl 87).
Cell information / gene expression box plot / violin plot
In this tab, users can visualise the gene expression or continuous cell information
(e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).
Y-axis is on a log10 scale.
The black dot inside the violin plots is the median.
In this tab, users can visualise the coexpression of two genes
on low-dimensional representions.
Gene Expression
Cell numbers
Gene expression heatmap / bubbleplot
In this tab, users can visualise the gene expression patterns of
multiple genes grouped by categorical cell information (e.g. library / cluster).
The normalised expression are averaged, log-transformed and then plotted.
Analysis by Nicola Fattorelli;ShinyCellcustomization and website by Tim Meese.