Changes in neural progenitor lineage composition during astrocytic differentiation of human iPSCs

  1. Zongze Li
  2. Lucia Fernandez Cardo
  3. Michal Rokicki
  4. Jimena Monzón-Sandoval
  5. Viola Volpato
  6. Frank Wessely
  7. Caleb Webber  Is a corresponding author
  8. Meng Li  Is a corresponding author
  1. Dementia Research Institute, School of Medicine, Cardiff University, United Kingdom
  2. Neuroscience and Mental Health Innovation Institute, School of Medicine, Cardiff University, United Kingdom
4 figures and 4 additional files

Figures

Figure 1 with 1 supplement
Depletion of LMX1A+ progenitors and their derivatives during astrogenic induction in ventral midbrain patterned neural progenitor cultures.

(A) Schematic diagram of ventral midbrain neural differentiation and astrogenic induction. (B, C) Representative view of immunocytochemistry of ventral midbrain neural progenitor markers and other regional markers in d19 unsorted, sorted BFP+, and sorted BFP- population. Scale bar represents 100 µm. Images shown were cropped to 300 µm×300 µm by randomly selecting the region of interest in the nuclei-only channel (uncropped grayscale images are shown in Figure 1—figure supplement 1A). (D) Quantification of marker expression in unsorted, sorted BFP+, and sorted BFP- population. Error bars represent the standard error of means (SEM) of three independent experiments. (E) Flow cytometry quantification of unsorted and BFP+ population during astrogenic induction and progenitor expansion. Each data point represents one biological replicate. The gating strategy used is shown in Figure 1—figure supplement 1B.

Figure 1—figure supplement 1
Original images of immunocytochemistry of d19 progenitors and gating strategy of BFP flow cytometry analysis.

(A) The original images shown in Figure 1B–C. The gating strategy used for BFP flow cytometry analysis are shown in B-E and described in Methods and materials. (B) Scatter plot of SSC-A versus FSC-A. (C) Scatter plot of FSC-H versus FSC-A. (D, E) Histogram of BFP fluorescence in the negative control (D) and BFP-expressing samples (E).

Figure 2 with 3 supplements
Early astrogenic switch and astrocyte maturation in derivatives of LMX1A+ midbrain progenitors.

(A) Representative view of immunocytochemistry of astrogenic marker expression in BFP+ and unsorted progenitors at day 45 and 98. Scale bar represents 100 µm. Images shown were cropped to 462 µm×462 µm by randomly selecting the region of interest in the nuclei-only channel (uncropped grayscale images are shown in Figure 2—figure supplement 1). (B) Representative view of immunocytochemistry of astrocyte marker expression in early and late, BFP+ and BFP- (unsorted) astrocytes. Scale bar represents 100 µm. Images shown were cropped to 300 µm×300 µm by randomly selecting the region of interest in the nuclei-only channel (uncropped greyscale images are shown in Figure 2—figure supplement 2). (C) Quantification of immunocytochemistry of astrogenic marker in BFP+ and BFP- progenitors at day 45 and 98 shown in Panel A. Error bars represent the standard error of means (SEM) of three independent experiments. Two-way ANOVA was performed to compare between lineages (NFIA: p=5.389×10–6, df = 1, effect size = 3.62; SOX9: p=1.96×10–6, df = 1, effect size = 4.77) and days of differentiation (NFIA: p=7.82×10–5, df = 1, effect size = 1.99; SOX9: p=2.62×10–5, df = 1, effect size = 2.99) (D) Quantification of immunocytochemistry of astrocyte marker expression in astrocytes. Error bars represent SEM of three independent experiments. Kruskal-Wallis test results following Bonferroni correction are shown on the top of the figure (AQP4: p.adjust=0.12, df = 3, H=8.95; EAAT2: p.adjust=1.00, df = 3, H=0.95; GFAP: p.adjust=0.06, df = 3, H=10.38; S100B: p.adjust=0.11, df = 3, H=9.05). (E) Averaged trace of ATP-induced Ca2+ response assayed using FLIPR. Drugs or DMSO were applied at 1 min of the assay. The line represents the average fluorescence change (ΔF/F0) in at least three independent experiments, each with at least three replicate wells. The shaded area represents the SEM across at least three independent experiments. (F) Quantitative comparison of the peak amplitude of ATP-induced Ca2+ response among conditions (two-way ANOVA, p<2.2×10–16, df = 2, effect size = 2.54) and samples (p=2.87×10–14, df = 3, effect size = 2.17). Error bars represent the SEM across at least independent experiments. (G) Quantitative comparison of the rise time of ATP-induced Ca2+ response among conditions (two-way ANOVA, p=2.19×10–13, df = 2, effect size = 1.958) and samples (p=0.064, df = 3, effect size = 0.76). Intergroup comparison was performed using post-hoc Tukey test. Error bars represent the SEM across at least three independent experiments. (****p<0.0001, ***p<0.001, **p<0.01, *p<0.05, ns: not significant).

Figure 2—figure supplement 1
Original images of immunocytochemistry of astrogenic markers shown in Figure 2A.
Figure 2—figure supplement 2
Original images of immunocytochemistry of astrocyte markers shown in Figure 2B.
Figure 2—figure supplement 3
Non-patterned astrocytes.

(A) Representative view of immunocytochemistry of astrocyte marker expression in non-patterned astrocytes (scale bar represents 100 µm). (B) Quantification of astrocyte marker expression in astrocytes. Error bars represent SEM of three independent experiments.

Figure 3 with 4 supplements
Single-cell RNA sequencing confirms the authenticity of pluripotent stem cell (PSC)-derived astrocytes.

(A, B) Uniform manifold approximation and projection plot of unbiased clustering, coloured by clusters or sample group. (C) Number of cells from different sample groups in each clusters. (D) Heatmap of the normalized expression of selected markers in different clusters. The assigned identity to each cluster is shown at the top of the plot. (E) Principal component projection analysis of pseudobulk astrocyte data onto a reference principal component axis of astrocyte maturity (Zhang et al., 2016; Hedegaard et al., 2020). Each dot represents a pseudobulk sample of one independent sample from each clusters. (F) Sankey plot summarizing the result of reference mapping of cells in different clusters to eight published reference human brain scRNAseq datasets. The thickness of the thread is proportional to the number of cells mapped to the same identity in the reference datasets (predicted identity). Detailed results of referencing mapping to each reference datasets are shown in Figure 3—figure supplement 4A-H and prediction score shown in Figure 3—figure supplement 4I. (PRE: precursors; N: neurons).

Figure 3—figure supplement 1
Fluorescence-activated cell sorting of astrocytes for single-cell RNA sequencing.

(A–C) Negative control samples; (D–F) An example of BFP+ astrocytes. (A and D) shows the dot plot of SSC-A versus FSC-A. (B and E) shows the dot plot of FSC-H versus FSC-A. (C and F) shows the dot plot of Alexa Fluor-647-A (labeling CD49f) versus DAPI-A (labeling BFP). P3 was used to isolate CD49f+ population (including both BFP+ and BFP-), while P4 was used to isolate CD49f+/BFP+ population.

Figure 3—figure supplement 2
Processing of single-cell RNA sequencing data.

(A–C) Violin plots showing the results of adaptive cell-level filtering based on the number of genes detected per cell (A), percentage of mitochondrial gene counts per cell (B), and total gene count per cell (C). D-E, UMAP plot of all filtered cells before (D) and after integration (E) colored by chip. F-G, UMAP plot of the subset of sorted BFP+ astrocytes on Chip A and B derived from the same astrocyte differentiation before (F) and after integration (G) colored by chip. (N: neuron; SBN: sorted BFP-; SBP: sorted BFP+; SNP: sorted non-patterned; UBN: unsorted BFP-; UBP: unsorted BFP+; UNP: unsorted non-patterned; numbers represent independent samples).

Figure 3—figure supplement 3
Expression of marker genes as detected by scRNAseq.

(A, B) UMAP plot of all filtered cells after integration colored by sample type and sorting status (A) and estimated cell cycle phase (B). (C) Raincloud plots of normalized expression of BFP. (D) Histogram of the distribution of raw gene count of BFP. (E) Violin plots of the normalized expression of endoderm, mesoderm, neuroectoderm, and oligodendrocyte progenitor markers. (F) Violin plots of the normalized expression of classic ventral midbrain markers.

Figure 3—figure supplement 4
Reference mapping to human brain single-cell RNA sequencing datasets.

(A–H) Sankey plot summarising the result of reference mapping of cells in different clusters to eight published reference human brain astrocyte scRNAseq datasets. The thickness of the thread is proportional to the number of cells mapped to the same identity in the reference datasets (predicted identity). Cluster IDs in this study are shown on the left. Heatmap in Panel (A-E) shows the expression of marker genes in different clusters in the re-annotated reference datasets. (I) Heatmap of prediction score from Seurat integration. (AP: astrogenic precursors; Ast: astrocytes; CR: Cajal-Retzius cells; Endo: endothelial cells; ImAst: immature astrocytes; ImN: immature neurons; Mgl: microglia; N: neurons; NPC: neural progenitor cells; ODC: oligodendrocytes; OPC: oligodendrocyte progenitors; Peri: pericytes; PRE: precursors; Rgl: radial glia).

Figure 4 with 1 supplement
Distinct transcriptome fingerprints of astrocytes derived from LMX1A+ ventral midbrain progenitors.

(A) Heatmap of the normalized expression of population-specific genes in different populations of astrocytes. (B) Violin plots of the normalized expression of selected candidate markers for BFP+, BFP-, and non-patterned (NP) astrocytes. (C, D) Representative GO terms significantly enriched in BFP+ (C) and BFP- (D) enriched genes. Semantically similar representative terms were shown with the same color.

Figure 4—figure supplement 1
Validation of candidate markers for BFP+ and BFP- astrocytes.

(A) Heatmap of the average expression of candidate markers in mesencephalon and telencephalon astrocytes from five human foetal brain scRNAseq datasets. (B) Volcano plot showing the log2 fold-change and adjusted p-values of differential gene expression analysis comparing candidate markers in mesencephalon and telencephalon astrocytes from five human foetal brain scRNAseq datasets. Positive log2 fold-change represents higher expression level in mesencephalon astrocytes. (C) Immunocytochemistry validation of PAX3, PAX7, and FOXA2 expression in BFP+ and BFP- astrocytes. Scale bar represents 100 µm.

Additional files

Supplementary file 1

Consists of three tables in Excel file.

Table A: Pairwise DEGs among the three astrocyte populations and the neuron population.

Table B: GO enrichment of population-enriched DEGs.

Table C: Representative enriched GO terms of DEGs for BFP+ and BFP- astrocytes.

https://cdn.elifesciences.org/articles/96423/elife-96423-supp1-v1.xlsx
Supplementary file 2

Information on antibodies used in this study.

https://cdn.elifesciences.org/articles/96423/elife-96423-supp2-v1.docx
Supplementary file 3

Settings used for processing published transcriptomic datasets.

https://cdn.elifesciences.org/articles/96423/elife-96423-supp3-v1.docx
MDAR checklist
https://cdn.elifesciences.org/articles/96423/elife-96423-mdarchecklist1-v1.docx

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  1. Zongze Li
  2. Lucia Fernandez Cardo
  3. Michal Rokicki
  4. Jimena Monzón-Sandoval
  5. Viola Volpato
  6. Frank Wessely
  7. Caleb Webber
  8. Meng Li
(2025)
Changes in neural progenitor lineage composition during astrocytic differentiation of human iPSCs
eLife 13:RP96423.
https://doi.org/10.7554/eLife.96423.3