NGN2 induces diverse neuron types from human pluripotency.
- Authors
- Lin, Hsiu-Chuan; He, Zhisong; Ebert, Sebastian; SchΓΆrnig, Maria; Santel, Malgorzata; Nikolova, Marina T; Weigert, Anne; Hevers, Wulf; Kasri, Nael Nadif; Taverna, Elena; Camp, J Gray; Treutlein, Barbara
- Year
- 2021
- Journal
- Stem cell reports
- PMID
- 34358451
- DOI
- 10.1016/j.stemcr.2021.07.006
- PMCID
- PMC8452516
Human neurons engineered from induced pluripotent stem cells (iPSCs) through neurogenin 2 (NGN2) overexpression are widely used to study neuronal differentiation mechanisms and to model neurological diseases. However, the differentiation paths and heterogeneity of emerged neurons have not been fully explored. Here, we used single-cell transcriptomics to dissect the cell states that emerge during NGN2 overexpression across a time course from pluripotency to neuron functional maturation. We find a substantial molecular heterogeneity in the neuron types generated, with at least two populations that express genes associated with neurons of the peripheral nervous system. Neuron heterogeneity is observed across multiple iPSC clones and lines from different individuals. We find that neuron fate acquisition is sensitive to NGN2 expression level and the duration of NGN2-forced expression. Our data reveal that NGN2 dosage can regulate neuron fate acquisition, and that NGN2-iN heterogeneity can confound results that are sensitive to neuron type.
Diverse subpopulations emerge during NGN2-directed neuron differentiation into iNs from human iPSCs(A) Schematic of scRNA-seq time course experiment and representative images from human iPSCs differentiating into NGN2-iNs. Cells were analyzed with scRNA-seq (10Γ Genomics) at multiple time points during differentiation. Immunohistochemical staining of NGN2-iNs at d28 with MAP2 (green) and DAPI (blue). Scale bars, 10 ΞΌm.(B) SPRING embedding shows the developmental relationships of 409B2-derived NGN2-iNs with cells colored by time points (left) or cluster (right).(C) Expression feature plots stem cell, mesenchymal, and neural marker genes.(D) Expression feature plots of NGN2-iN clusters.(E) Proportion of PRPH+ and PRPHβ cells quantified using scRNA-seq (10Γ) or immunofluorescence.See also Figures S1A and S1B.
LLM interpretation
This figure illustrates the differentiation of human iPSCs into NGN2-directed neurons (iNs). Panel A provides a schematic of the scRNA-seq timeline, phase-contrast images of cell morphology from day 0 to 14, and MAP2/DAPI immunofluorescence staining at day 28. Panels B, C, and D use SPRING embeddings to visualize cell trajectories over time, cluster identities (including pluripotency, mesenchymal, and various neuronal fates), and the expression of specific marker genes (e.g., *NANOG*, *MAP2*, *PRPH*). Panel E shows a bar chart comparing the proportion of $\text{PRPH}^+$ and $\text{PRPH}^-$ cells quantified via scRNA-seq (10x) and immunofluorescence (IF).
NGN2-iN neuron diversity is recapitulated in multiple iPSC lines(AβC) (A) scRNA-seq was performed on d35 NGN2-iNs from polyclonal 409B2, monoclonal 409B2, and polyclonal Sc102a1 iPSCs. (B and C) UMAP embedding of Seurat 3.0 integrated scRNA-seq data, with cells colored by cell source (B) or cluster annotated by marker genes (C).(D) Feature plots showing the expression of marker genes.(E) Stacked bar plot showing proportions of clusters in each sample.(F) Dot plot of marker gene expression patterns and detection rates across clusters.
LLM interpretation
This figure presents scRNA-seq analysis of NGN2-iNs derived from three iPSC lines (polyclonal 409B2, monoclonal 409B2, and Sc102a1). UMAP embeddings (B, C) and feature plots (D) show the distribution and marker gene expression of four identified cell populations: $PRPH+/PHOX2B+$ neurons, $PRPH+/POU4F1+$ neurons, $GPM6A+$ neurons, and $CD99+$ cells. A stacked bar plot (E) and dot plot (F) demonstrate that the proportions of these clusters and their corresponding marker gene expression patterns are consistent across all three iPSC lines.
Molecular signatures of NGN2-iN compared with primary neuronal cell types mouse reference atlases(A) NGN2-iN subpopulation signatures were compared with diverse reference atlases.(B) Spatial expression patterns of selected markers as maximum intensity projections across sagittal sections in the embryonic day 13.5 mouse brain from the Allen Developing Mouse Brain Atlas.(C) Transcriptomic similarities between NGN2-iNs, other iPSC-derived neurons, and primary neurons represented as Pearson correlations between expression profiles. SC, spinal cord.(D) Average expression of various marker genes of primary neuron subtypes in NGN2-iN clusters and primary mouse PNS and CNS neuron subtypes.(E) Proportions of the estimated CNS component in NGN2-iNs, cerebral organoid neurons, and human/mouse primary mature PNS/CNS neurons.(F) Expression of exogenous (left) and endogenous (right) NGN2 in different NGN2-iN clusters. The boxes show the lower and upper quartiles of the distributions. the bars extend to the min/max or 1.5x interquartile range.
LLM interpretation
This figure evaluates the molecular signatures of NGN2-iNs against mouse reference atlases through multiple visualizations. It includes a workflow diagram (A), spatial expression maps of markers in the embryonic mouse brain (B), a heatmap of Pearson correlations between various neuron types (C), and a marker gene expression heatmap comparing NGN2-iN clusters to primary PNS and CNS neurons (D). Additionally, a scatter plot shows the proportion of CNS components across different neuron types (E), and box/bar plots display the expression and detection of exogenous and endogenous *NGN2* across clusters (F).
Neuronal fate specification is sensitive to NGN2 dosage(A) Schematic for the doxycycline (Dox) treatment duration experiment.(B) Detection rates for cells expressing exogenous NGN2 (>5 UMI) and endogenous NGN2 (>0 UMI) from each sample.(C) UMAP embedding of NGN2-iN cells from each sample. scRNA-seq data were integrated using cluster similarity spectrum-based integration (He et al., 2020).(D) UMAP plots colored by marker gene expression. DCX marks the neural lineages. LHX4 marks the identity of the off-target cluster.(E) Proportion of cells per Dox treatment time point in each of the three neural clusters.(F) Expression level of exogenous NGN2 from the time course experiment presented in Figure S1A. The boxes show the lower and upper quartiles of the distributions. the bars extend to the min/max or 1.5x interquartile range.(G) Numbers of exogenous NGN2 transcripts in the three neural clusters from different time points of NGN2-iN development. The boxes show the lower and upper quartiles of the distributions. the bars extend to the min/max or 1.5x interquartile range.(H) Proportion of cells from different time points of NGN2-iN development.
LLM interpretation
This figure examines the effect of NGN2 dosage on neuronal fate specification using a doxycycline (Dox) induction time course. It includes a schematic of the experimental design (A), bar charts showing NGN2 detection rates (B), and UMAP embeddings visualizing cell clusters by Dox duration (C) and marker gene expression (D). Quantitative data are presented as bar charts for cluster proportions (E, H) and box plots for exogenous NGN2 expression levels across development (F) and across specific neural clusters (G).
| Name | Type |
|---|---|
| 409B2 local | cohort |
| 409b2 human iPSC line local | cohort |
| 409B2 monoclonal local | cohort |
| Adolescent mouse nervous system local | anatomy |
| ArrayExpress E-MTAB-10632 local | cohort |
| Ascl1 | gene |
| brain stem | anatomy |
| Cd99 | gene |
| central nervous system | anatomy |
| Chromium Single-cell 3β² Reagent Kit v.2 local | drug |
| Chromium Single-cell 3β² Reagent Kit v.3 local | drug |
| Clark et al., 2019 local | cohort |
| CNS | anatomy |
| COL5A1 | gene |
| cortical excitatory local | phenotype |
| cortical rat astrocytes local | phenotype |
| CUX1 local | gene |
| DCN local | gene |
| Developing mouse brain local | anatomy |
| Developing mouse retina local | anatomy |
| developmental patterning factors local | drug |
| doxycycline | drug |
| fetal bovine serum | drug |
| GAD1 | gene |
| GAD2 | gene |
| GPM6A | gene |
| GPM6A+ cells local | phenotype |
| gray horn nuclei local | anatomy |
| gray horn of spinal cord local | anatomy |
| HES6 | gene |
| high-glucose DMEM local | drug |
| human nervous system reference cell atlases local | drug |
| Illumina Hiseq 2500 | drug |
| Illumina NovaSeq S1 local | drug |
| iNeurons local | phenotype |
| iPSCs | cohort |
| La Manno et al., 2020 local | cohort |
| MAP2 | gene |
| matrigel | drug |
| mesencephalon | anatomy |
| mesenchymal population local | phenotype |
| mTesR1 | drug |
| NCAM1 | gene |
| neural clusters local | phenotype |
| neural precursor stages local | phenotype |
| neural retina local | anatomy |
| neural subtypes local | phenotype |
| neuroectoderm local | phenotype |
| neuroepithelium local | phenotype |
| neuronal cluster local | phenotype |
| neuronal differentiation | phenotype |
| neuronal fate | phenotype |
| neuronal heterogeneity local | phenotype |
| Ngn2 | gene |
| NGN2-iN local | cohort |
| NGN2-iN local | drug |
| NGN2-iN local | phenotype |
| NGN2-iN cells local | cohort |
| NGN2-iN cluster local | cohort |
| NGN2-iNeuron local | phenotype |
| NGN2-iNs local | cohort |
| NGN2-iNs local | drug |
| NGN2-iNs local | phenotype |
| NGN2 overexpression local | drug |
| off-target cells local | phenotype |
| off-target cluster local | phenotype |
| organoids | cohort |
| pen/strep | drug |
| peripheral nervous system | anatomy |
| PHOX2B local | gene |
| pluripotency | phenotype |
| poly-D-lysine | drug |
| POU4F1 | gene |
| POU5F1 | gene |
| PRPH | gene |
| retina | anatomy |
| rhombencephalon local | anatomy |
| Sc102a1 local | cohort |
| Sc102a1 human iPSC line local | cohort |
| SOX11 | gene |
| spinal cord | anatomy |
| telencephalon | anatomy |
| transcription factor overexpression systems local | drug |
| trigeminal nerve local | anatomy |
| trypsin-EDTA | drug |
| TUBB3 | gene |
| vGLUT1 | gene |
| Zeisel et al., 2018 local | cohort |
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