Efficient differentiation of human primordial germ cells through geometric control reveals a key role for Nodal signaling

  1. Kyoung Jo
  2. Seth Teague
  3. Bohan Chen
  4. Hina Aftab Khan
  5. Emily Freeburne
  6. Hunter Li
  7. Bolin Li
  8. Ran Ran
  9. Jason R Spence
  10. Idse Heemskerk  Is a corresponding author
  1. Department of Cell and Developmental Biology, University of Michigan Medical School, United States
  2. Department of Biomedical Engineering, University of Michigan, United States
  3. Center for Organogenesis, University of Michigan Medical School, United States
  4. Department of Internal Medicine, Gastroenterology, University of Michigan Medical School, United States
  5. Department of Physics, University of Michigan, United States
12 figures, 5 tables and 4 additional files

Figures

Figure 1 with 3 supplements
Primordial germ cell-like cells (PGCLCs) form at the interface between extraembryonic and primitive streak-like cells.

(A, B) Immunofluorescence for different marker genes (maximal intensity projection along z). Yellow arrowhead in (B) points to higher NANOG expression in PGCLCs than pluripotent cells in the colony center. (C) Segmentation of nuclei based on DAPI staining. (D–F) Scatterplots of marker expression colored for radial position, normalized to threshold and log(1 + x) transformed, (D) corresponds to (A); (E, F) correspond to (B). (G) Scatterplot of PRDM1 vs. SOX17 colored for TFAP2C. (H, I) Spatial distribution of positive cells, dark lines represent the mean kernel density estimate of the positive fraction over four colonies, colored bands represent the standard deviation. (J) Clusters generated by Louvain. (K) Heatmap of differential expression between clusters (average z-scores) of genes associated with gastrulation. (I) PHATE visualization of scRNA-seq data showing denoised expression of markers used in (BI) (raw in Figure 1—figure supplement 2D). (M) Scatterplot of TFAP2C vs. SOX17 from denoised scRNA-seq data (raw in Figure 1—figure supplement 1P), with colors matching clusters in (J). Scale bars 50 µm. All colonies are 700 µm diameter.

Figure 1—figure supplement 1
Quantitative relationships between marker genes with immunofluorescence (IF) and scRNA-seq.

(A–F) Additional stainings of micropatterned colonies and spatial distribution of positive cells. (G) Breakdown of cell populations corresponding to Figure 1G and (E, F). (H, I) Normalized radial intensity profiles corresponding to Figure 1A and B. (J–L) Scatterplots comparing the relationship between ISL1, EOMES, SOX17 measured with IF (K) and denoised (K) vs. raw (L) scRNA-seq. (M–O) Scatterplots comparing the relationship between TFAP2C, TBXT, PRDM1 measured with IF (M) and denoised (N) vs. raw (O) scRNA-seq. (P) Scatterplot of TFAP2C vs. SOX17 from scRNA-seq data before denoising with MAGIC, compare with Figure 1M.

Figure 1—figure supplement 2
Additional scRNA-seq analysis, including correlation with CS7 human gastrula.

(A, B) Comparison of immunofluorescence (IF) for ISL1, TBXT, SOX2 with their expression on the PHATE visualization of the scRNA-seq data. (C) Primordial germ cells (PGCs) budding off as a lineage along diffusion component 3. (D) Visualization of raw expression corresponding to (L). (E) Expression of amnion and PGC markers on PHATE visualization with and without denoising. (F) Differential expression of gastrula markers from (K) in subclusters of CS7 human gastrula from Tyser et al. (G) Correlation of highly variable genes between the clusters from micropatterned human pluripotent stem cells (hPSCs) and clusters from human gastrula with and without integration using Seurat.

Figure 1—figure supplement 3
Primordial germ cell-like cell (PGCLC) differentiation in different male and female cell lines.

Each row shows immunofluorescence (IF) and quantification for PGC markers in different cell lines. (A–C) ESI017, also shown in Figure 1B, shown here for comparison. (E–F) PGP1, male induced pluripotent stem cell (iPSC). (G–I) WTC11, male iPSC. (J–L) MR30, female iPSC. WTC11, a widely used iPSC line deviates from the norm. It consistently expresses TFAP2C throughout the colony and gives rise to higher numbers of PGCLCs.

Figure 2 with 2 supplements
Primordial germ cells (PGCs) are specified by 42 hr but continue to mature while endoderm arises between 42 and 72 hr.

(A, B) Immunofluorescence over time showing a stable PGC population and later emergence of endoderm. (C) Quantification of marker expression at different times showing the emergence of endoderm starting at 48 hr. (D) Absolute numbers of cell-expressing marker combinations corresponding to endoderm (red, SOX17+ AP2C-FOXA2+) primordial germ cell-like cells (PGCLCs) (blue, SOX17+ AP2C+ FOXA2-) and SOX17-AP2C+ FOXA2- (yellow). (E) Average cell number per colony over time. (F) qPCR data for PGC markers over time. (G, H) Immunofluorescence and quantification of pluripotency markers in PGCs over time. DAPI stainings corresponding to (A, B) are shown in Figure 2—figure supplement 1. Scale bar 50 µm.

Figure 2—figure supplement 1
Additional images and quantification for time series up to 96 hr.

(A) DAPI staining for colonies shown in Figure 2A and B. (B) Radial profile of marker expression at different times. (C) Overlay of colonies from Figure 2A and B, including DAPI, showing location of cross section in (D). (D) Cross sections through colonies at different times. (E) qPCR data for primordial germ cell (PGC) markers over time without normalization to pluripotent cells (CT values relative to GAPDH).

Figure 2—figure supplement 2
Additional images for pluripotency markers over time.

(A, B) Separate channels for Figure 2G. (C) Scatterplots of corresponding quantification.

Figure 3 with 1 supplement
Primordial germ cell-like cells (PGCLCs) require sustained BMP, Nodal, and FGF but only brief Wnt signaling.

Each row shows staining and quantification of PGC markers after perturbation of different pathways. Error bands in spatial distributions are omitted for clarity but are similar in magnitude to Figure 1C and E. (A–E) BMP4-treated colonies with or without BMP-receptor inhibition after 24 hr (BMPRi, LDN193189, 250 nM) shows loss of PGCLCs (A–C) and emergence of FOXA2+ SOX17- population. (F) Diagram of signaling hierarchy (black) and perturbations in this figure (red). (G–J) Wnt inhibition using IWP2 5 µM after 0, 12, and 24 hr showing PGCLC specification only requires Wnt signaling between 12 and 24 hr. (K–O) Inhibition of FGFR (PD-173074, 1 µM) or MEK (PD-0325901, 5 µM) at 0 and 24 hr showing complete loss of PGCLCs in both cases. (P–T) Inhibition of Nodal receptors (TGFBRi, SB-431542, 10 µM) at 0 and 24 hr and Nodal knockout (NodalKO) showing complete loss or severe reduction of PGCLCs. Images of each channel separately are shown in Figure 2—figure supplement 2. Scale bar 50 µm.

Figure 3—figure supplement 1
Additional images and quantification for signaling perturbations in Figure 3.

(A) Overlay and separate channels for Figure 3A. (B) scatterplot of PRDM1 vs. TBXT for BMP4-treated colonies with or without BMP-receptor inhibition after 24 hr, colored for the condition. (C) Overlay and separate channels for Figure 3D. (D) Corresponding radial expression profile. (E, F) Staining and quantification for FOXA2, TBXT, EOMES of BMP4-treated colony treated with BMPRi after 24 hr, showing co-expression of FOXA2 and TBXT, which, together with lack of SOX17 in (C), suggests axial mesoderm. (G) Additional staining for TFAP2C, SOX17, FOXA2 of Wnt inhibition after 0 and 24 hr compared to BMP4 only. (H) Overlay and separate channels for Figure 3K. (I) Scatterplot of PRDM1 vs. TBXT for BMP4-treated colonies with or without MEK inhibition after 0 or 24 hr, colored for the condition. (J) Overlay and separate channels for Figure 3P.

Figure 4 with 2 supplements
Exogenous Activin rescues primordial germ cells (PGCs) in the absence of endogenous Wnt or Nodal in a dose- and time-dependent manner.

(A, B) Wnt inhibition (WNTi, IWP2, 5 µM) with different doses of Activin, for example, A3 = 3 ng/ml Activin. (C–E) Activin rescue of WNTi at 0 hr vs. 12 hr with LEF1 staining. (F–H) Like (C–E) but with canonical WNT inhibitor (cWNTi, IWR-1, 50 µM). (I, J) Like (F–H) stained for additional PGC markers. (K–N) Effect of treatment with Activin in WT and NodalKO cells on expression of PGC and endoderm markers. (O) Differential expression from scRNA-seq for Nodal and BMP receptors, as well as Nodal, BMP, and Lefty. (P, Q) Effect of Activin treatment on PGC differentiation of NodalKO cells for different doses of BMP and quantification. (R–U) Effect of 100 ng/ml Activin for 42 hr, only during the first 24 hr, or only after 24 hr. Images of each channel separately are shown in Figure 3—figure supplement 1. Scale bar 50 µm.

Figure 4—figure supplement 1
Additional images of primordial germ cell (PGC) rescue by Activin after WNT inhibition.

(A, B) Individual channels for Figure 4A and C. (C) IWR-1 does not block PGC specification at 10 µM. (D) Individual channels for Figure 4F (IWR-1 inhibition at 50 µM and rescue of PGCs by Activin). (E) Like Figure 4C but with TFAP2C, NANOG, PRDM1 staining (PGC rescue by Activin after 5 µM IWP2 treatment). (F) Individual channels for Figure 4I. (G) Increased rescue of PGCs by Activin after inhibition with 1 µM IWP2.

Figure 4—figure supplement 2
Additional images of the effect of Activin timing and dose on primordial germ cell (PGC) specification.

(A–C) Images of individual channels for Figure 4K, M, and R. (A) corresponds to Figure 4K, (B) to Figure 4M, (C) to Figure 4R. (D, E) Effect of exogenous Activin timing on cell fate in NodalKO cells. (F, G) TFAP2C, NANOG, PRDM1 staining of effect of Activin treatment on PGC differentiation of NodalKO cells for different doses of BMP and quantification.

Figure 5 with 1 supplement
Control of colony size dramatically impacts the fraction of primordial germ cell-like cells (PGCLCs).

(A–D) Different diameter colonies stained for TFAP2C, SOX17, EOMES at 42 hr and quantification, (B) SOX17 vs. TFAP2C scatterplot colored for colony size. (C) Same plot colored for EOMES expression. (D) SOX17+ subpopulations for each colony diameter. (E–G) 100 µm colonies differentiated with BMP only or with incipient mesoderm-like state (iMeLC) pre-differentiation stained for TFAP2C, NANOG, PRDM1 at 48 hr and quantification. C3 = 3 µM CHIR-99021, other notation is like in Figure 4. (I–K) Stainings and quantification of pSMAD1 and SMAD2/3 for different size colonies. Scale bars 50 µm.

Figure 5—figure supplement 1
Additional images of primordial germ cell (PGC) specification on small micropatterns.

(A, B) Staining for PGC markers and quantification after treatment with Activin for 24 hr followed by inhibition of TGFb signaling by SB431542 (compare Figure 4R). (C) Scatterplots corresponding to (B) and Figure 5F and G colored for cell density show clusters. (D) Differentiation of PGP1 (a male induced pluripotent stem cell [hiPSC] line) on small micropatterns.

Figure 6 with 1 supplement
A network of cross-repressive cell fates qualitatively explains Nodal perturbations.

(A) Input signaling profile in space and time. (B) Diagram of the model. (C) Definition of the model. (D) Phase diagram showing predicted expression of cell fate markers at steady state for different levels constant of BMP and Nodal activation (i.e., behavior of the cells on the very edge at late times). (E) Cell fate patterns predicted by the model from the input signaling profiles with different perturbations. Compare with data in Figures 3A and 4M, and Figure 4—figure supplement 2D. Colors match (B, D). (F) Predicted and measured expression of TFAP2C and SOX17 in a 100-µm-wide ring from the edge for different doses of BMP and Activin. .

Figure 6—figure supplement 1
Simpler mathematical models.

Each row shows a model and its predicted patterns for the perturbations we wanted to explain. (A) Stable primordial germ cell-like cells (PGCLCs) through autoregulation of SOX17 in combination with TFAP2C and SOX17 activated by Nodal. (B) Activation of SOX17 by BMP and Nodal. (C) Inclusion of a stable primitive streak (PS)-like state activated by Nodal, which cross-represses with TFAP2C. (D) Full model including a stable amnion-like state that cross-represses with SOX17.

Author response image 1
Author response image 2
Micropatterned PGCLCs.
Author response image 3
Author response image 4
Author response image 5
Author response image 6

Tables

Table 1
Cell signaling reagents.
ReagentNicknameVendor, catalog #DoseFunction
rhBMP4BMP4R&D Systems, #314BP/CFSee figuresActivate BMP pathway
rhActivinAR&D Systems, #AFL338See figuresActivate TGFb pathway
CHIR-99021CTocris, #4423See figuresCanonical Wnt agonist
IWP 2WNTiTocris, #35335 µM unless stated otherwiseBlock Wnt secretion
IWR-1cWNTiThermo Fisher, 50-101-419150 µM unless stated otherwiseBlock canonical Wnt signaling
LDN-193189BMPRiMedChemExpress, # HY-12071250 nMBlock BMP signaling
SB-431542TGFBRiApexbio, #A824910 µMBlock TGFb signaling
PD-0325901MEKiESIBIO, #ST100095 µMBlock MEK signaling
PD-173074FGFRiMedChemExpress, #HY-103211 µMBlock FGF signaling
Table 2
Primary antibodies used for immunostaining.
ProteinSpeciesDilutionCatalog #Vendor
ISL1Mouse1:20039.4D5DSHB
SOX2Rabbit1:2003579SCell Signaling Technology
TBXT (BRA)Goat1:300AF2085R&D Systems
PRDM1 (BLIMP1)Rat1:50SC-47732Santa Cruz Biotechnology
SOX17Goat1:200AF1924R&D Systems
TFAP2CMouse1:150SC-12762Santa Cruz Biotechnology
NANOGGoat1:100AF1997R&D Systems
EOMES (TBR2)Rabbit1:500AB23345Abcam
POU5F1Mouse1:400611,202BD Biosciences
LEF1Rabbit1:200C12A5Cell Signaling Technology
Table 3
Secondary antibodies.
ProteinSpeciesDilutionCatalog #Vendor
Alexa Fluor 647 anti-goatDonkey IgG1:500A21447Thermo Fisher Scientific
Alexa Fluor 555 anti-goatDonkey IgG1:500A21432Thermo Fisher Scientific
Alexa Fluor 488 anti-mouseDonkey IgG1:500A21202Thermo Fisher Scientific
Alexa Fluor 647 anti-ratWhole IgG1:500112-605-167Jackson ImmunoResearch
Alexa Fluor 647 anti-rabbitDonkey IgG1:500A31573Thermo Fisher Scientific
Alexa Fluor 555 anti-rabbitDonkey IgG1:500A31572Thermo Fisher Scientific
Table 4
qPCR primers.
GAPDHACAACTTTGGTATCGTGGAAGGGCCATCACGCCACAGTTTC
SOX17GTGGACCGCACGGAATTTGGGAGATTCACACCGGAGTCA
NANOS3CTTTGACCTGTGGACAGATTACCGCCTGGTTTCAGGACCCTC
DPPA3TTAATCCAACCTACATCCCAGGGAGGGGAAACAGATTCGCTACTA
DDX4TTGTTGCTGTTGGACAAGTGGGTGGCAACAAGAACTGGGCACTTTCCA
EOMESCGCCACCAAACTGAGATGATCACATTGTAGTGGGCAGTGG
PRDM1CTACCCTTATCCCGGAGAGCGGACATTCTTTGGGCAGAGT
Appendix 1—table 1
Model parameters.
ParameterValueMeaning
n2Hill function coefficient
α0.1733Protein dilution + degradation rate
(βT,βS)0.173Production rate for T and S
sshigh1Autoactivation steady state for P and A
(KBT,KNBS,KNP,KBA)(0.313, 0.338, 0.371, 1.2)Signaling thresholds
(KPT,KAS,KTP,KSA)(0.422,0.373,1.13,1.14)Inhibition thresholds
(sslowP,sslowA)(0.269, 0.135)Maximum signaling-driven protein level
(τP,τA)(0.376,0.127)Autoactivation thresholds
K[TS]0.5activation threshold for [TS] on T and S
Kd100dimerization constant for [TS]

Additional files

Supplementary file 1

List of gastrulation genes used for visualization and clustering.

https://cdn.elifesciences.org/articles/72811/elife-72811-supp1-v2.xlsx
Supplementary file 2

Most differentially expressed genes in clusters found in scRNA-seq data.

https://cdn.elifesciences.org/articles/72811/elife-72811-supp2-v2.xlsx
Supplementary file 3

Most differentially expressed genes from Supplementary file 1 in clusters found in scRNA-seq data.

https://cdn.elifesciences.org/articles/72811/elife-72811-supp3-v2.xlsx
Transparent reporting form
https://cdn.elifesciences.org/articles/72811/elife-72811-transrepform1-v2.docx

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  1. Kyoung Jo
  2. Seth Teague
  3. Bohan Chen
  4. Hina Aftab Khan
  5. Emily Freeburne
  6. Hunter Li
  7. Bolin Li
  8. Ran Ran
  9. Jason R Spence
  10. Idse Heemskerk
(2022)
Efficient differentiation of human primordial germ cells through geometric control reveals a key role for Nodal signaling
eLife 11:e72811.
https://doi.org/10.7554/eLife.72811