Single-cell transcriptomics-informed induced pluripotent stem cells differentiation to tenogenic lineage

  1. Angela Papalamprou
  2. Victoria Yu
  3. Wensen Jiang
  4. Julia Sheyn
  5. Tina Stefanovic
  6. Angel Chen
  7. Chloe Castaneda
  8. Melissa Chavez
  9. Dmitriy Sheyn  Is a corresponding author
  1. Orthopaedic Stem Cell Research Laboratory, Cedars-Sinai Medical Center, United States
  2. Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, United States
  3. Department of Biomedical Sciences, Cedars-Sinai Medical Center, United States
  4. Department of Orthopedics, Cedars-Sinai Medical Center, United States
  5. Department of Surgery, Cedars-Sinai Medical Center, United States
5 figures, 1 table and 2 additional files

Figures

Figure 1 with 1 supplement
Stepwise induction of iPSCs to syndetome-like cells using chemically defined media and small molecules in vitro.

(A) Schematic of iPSC to SYN stepwise induction using chemically defined media and small molecules. (B) Brightfield micrographs of cells going through the differentiation stages at. Scale bars represent 200 μm. (C) Pluripotent markers were expressed in iPSCs and were downregulated in further stages. Gene expression analyses for stage-specific markers with the 007i iPSC line: upregulation of early mesoderm markers at the presomitic mesoderm (PSM, n = 8 replicates/group) (D), somitogenesis at SM (n = 8 replicates/group) (E), and sclerotome-related markers at SCL (n = 12) (F). (G) Tenogenic markers are significantly upregulated at the SYN stage (n = 4) compared to iPSC (n = 9) and SCL (n = 12) stages. Differentiation experiments were repeated independently n = 2 with the 007i line and n = 2 with a second iPSC line that was later tested (83i); *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Figure 1—figure supplement 1
Flow cytometry of DLL-1 at the presomitic mesoderm (PSM) stage for low and high seeding densities.

Left panel: low iPSC seeding density resulted in a high percentage of DLL-1+ cells. Right panel: high iPSC seeding density resulted in a comparably reduced DLL-1+ cell population.

Figure 2 with 1 supplement
Immunofluorescence co-staining for stage-specific markers for confirmation of protein expression at each induction stage.

(A, B) OCT4 and NANOG were observed in iPSCs but not at PSM. (C, D) Early mesoderm markers TBX1, TBX6, and DLL1 at PSM vs. SM. (E, F) Somitogenesis markers PARAXIS, MEOX1, and PAX3 at SM vs. SCL. (G, H) sclerotome-related markers PAX1 and PAX9 at SCL vs. SYN. (I) Tenogenic markers SCX, COL1, TNMD, MKX co-expression at the end of induction to SYN. Nuclei were stained with DAPI (blue). Scale bars represent 50 μm. Differentiation experiments were repeated independently n = 2 with the 007i line and n = 2 with a second iPSC line that was later tested (83i). IF staining was performed in n = 3 technical triplicates.

Figure 2—figure supplement 1
Immunofluorescence staining of selected markers and DAPI for nuclear staining from Figure 2 expanded to show all separate channels.

(B’) NANOG at PSM stage; (E’) MEOX1 and PAX3 at SCL stage, and (G’) PAX9 at SM stage.

Figure 3 with 4 supplements
Single-cell RNA sequencing reveals cellular heterogeneity at the end of induction of iPSC to syndetome-like cells and off-target differentiation to neural-like progenitors.

(A) UMAPs of each differentiation step sorted into 11 cell clusters from iPSC to SYN were annotated to 6 distinct cell populations: iPSC (OCT4+SOX2+NANOG+), Syndetome (SYN, MKX+TNMD+COL1A1+), Neuromesodermal Progenitors/Neural Crest cells (NMP/NC, PAX3+NRP2+COLEC12+), Mesoderm (Mes, DLL1+DLL3+PARAXIS+), Neuromesodermal Progenitors – Cranial (NMP-C, DLL1+DLL3+NOTCH1+CRAB1+), and Neural Lineage cells (NL, NRN1+DCX+NNAT+). During induction, pluripotent clusters gradually disappeared, and three main clusters emerged: SYN, NMP-C, and NL. Feature plots (B) and dot plots (C) of stage-specific genes displayed for all differentiation stages. (D) Expression of primary tenogenic markers COL1A1 (blue) and either SCX (red) or TNMD (red) on UMAP plot. (E, F) Original samples and clusters were ordered on pseudo-time developmental trajectory. (E) Trajectory analysis based on original samples showed transition from iPSC to SYN correlated with the samples; however, SYN cells were located within three endpoints. (F) Trajectory analysis based on clusters showed SYN cluster as the main differentiation endpoint with NMP-C and NL as off-target differentiation endpoints. Branching point heat maps (G, H) and gene expression were predominated by neural-related markers SYP, PCLO, DCX, and NRN1 (I). (J, K) IPA analysis revealed that the off-target clusters NMP-C and NL clusters were linked with increased Wnt pathway activity (K, L), while the SYN cluster was associated with tenocyte differentiation and linked to decreased Wnt pathway activity (J).

Figure 3—figure supplement 1
Distribution of cell subpopulations per sample.

Cell clusters from iPSC to SYN were annotated to 6 distinct cell populations: iPSC (OCT4+SOX2+NANOG+), Syndetome (SYN, MKX+TNMD+COL1A1+), Neuromesodermal Progenitors/Neural Crest (NMP/NC, PAX3+NRP2+COLEC12+), Mesoderm (Mes, DLL1+DLL3+PARAXIS+), Neuromesodermal Progenitors – Cranial (NMP-C, DLL1+DLL3+NOTCH1+CRAB1+), and Neural Lineage cells (NL, NRN1+DCX+NNAT+).

Figure 3—figure supplement 2
Addition of WNTi to the differentiation resulted in less off-targets.

(A) ScRNA-seq comparison of two different iPSC lines for SYNWNTi. Cell population annotation is shown in Figure 5 and in Supplementary file 1. (B) Distribution of cell subpopulations per sample, where the second cell line sample at the syndetome stage has also been included (designated as WNTi-83i). Cluster numbers and annotations are shown in Supplementary file 1.

Figure 3—figure supplement 3
A non-biased gene ontology (GO) analysis was performed.

Multiple pathways were detected in the three pathways of interest, that is C3 (Figure 3A; SYN), C9 (Figure 3A; NMP/NC), and C10 (Figure 3A; NL).

Figure 3—figure supplement 4
Feature plots of NKX3.2 and MEOX1 displayed for all differentiation stages.
Inhibition of WNT signaling resulted in decreased expression of off-target markers and a more homogeneous population.

(A) Gene expression analysis of neural markers NRN1, DYNLL1, and FMN1, as well as tenogenic marker TNMD on day 10 of SYN induction (day 21 of the differentiation). (A1) Cells treated with WNTi had significantly downregulated neural marker expression compared to just SYN. n = 4 replicates/group. (A2) Tendon gene expression was significantly upregulated in the WNTi-treated group; n = 3/group; *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. (B, C) Immunofluorescence staining for neural markers (DCX, SYP, NRN1), SYN (B1–B3), and SYNWNTi (C1–C3) showed that they were present in SYN and almost disappeared in SYNWNTi. Scale bars represent 50 μm. (D–F) Immunofluorescence staining for tenogenic markers (SCX, MKX, TNMD, COL1) of SYN vs. SYNWNTi groups. Scale bars are 50 μm. Differentiation experiments were repeated independently n = 2 with the 007i line and n = 2 with a second iPSC line that was later tested (83i). IF staining was performed in n = 3 technical triplicates.

Figure 5 with 3 supplements
Addition of WNTi to the SCL and SYN induction stages of the differentiation improved differentiation to SYN and eliminated off-target clusters.

(A) Schematic of optimized iPSC to SYN stepwise induction with WNTi addition implemented at SM to SCL and SCL to SYN stages. Informed by single cell transcriptomics, the addition of Wnt pathway inhibitor at the later stages of the differentiation resulted in a more specific differentiation of iPSCs to tenocytes. (B) UMAPs of each differentiation step sorted into 12 distinct clusters from iPSC to SYN were annotated into 6 distinct cell populations: Syndetome (SYN, MKX+TNMD+DCN+BGN+), iPSC (OCT4+NANOG+LIN28A+SOX2+), Neuromesodermal Progenitors/Neural Crest (NMP/NC, TBXT+TWIST1+SP5+SNAI2+), Neural Crest (NC, PTN+NTKR2+SOX4+SOX11+), Fibrocartilage (FC, COL2A1+SOX9+FN1+BGN+COL1a1+), and Neural Lineage (NL, SOX2+DCX+MAP2+UNCX+SOX4+). UMAP comparison of the SYN and SYNWNTi populations demonstrated increased size of the SYN cluster and elimination of NL cluster. (C) Dot plots of gene expression of stage-specific genes for SYN and SYNWNTi. (D) Expression of primary tenogenic markers Col1a1 (blue), Scx (red), and Tnmd (red) on UMAP plot for SYN and SYNWNTi. (E) Original samples and clusters were ordered on pseudo-time developmental trajectory. Trajectory analysis revealed one main endpoint, the SYN cell populations. (F) After addition of WNTi, the proportion of cells in the SYN clusters increased by 59% while the proportion of cells in the NL cluster was eliminated. (G) IPA network analysis showed that WNT pathway was enriched in the NMP/NC and NC clusters but not in NL.

Figure 5—figure supplement 1
Dot plot of stage-specific markers of SYNWNTi for each cluster.

Cell population annotation is presented in Figure 5.

Figure 5—figure supplement 2
Change in SCX expression throughout SYN induction with WNTi.

All timepoints are normalized to day 0 (iPSC). *p < 0.0001.

Figure 5—figure supplement 3
Separate and combined feature plots of SCX and TNMD expression at SCL through SYN stage with and without WNT inhibitor (WNTi).

Tables

Appendix 1—key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Cell line (human)007i-cntr-n5Cedars-Sinai iPSC Core FacilityN/Ahttps://biomanufacturing.cedars-sinai.org/?filter_cell-type=ipsc&filter_primary-tissue&filter_disease&filter_sex&filter_age-at-sampling&filter_ethnicity&filter_race&filter_gene&filter_mutation&filter_project&cs_product_search
Cell line (human)83i-cntr-22n1Cedars-Sinai iPSC Core FacilityN/A See above
AntibodyRabbit Polyclonal Anti-TBX1AbcamAb19530IF (1:25-1:250)
AntibodyGoat Polyclonal Anti-TBX6R&D SystemsAF4744IF (1:25-1:250)
AntibodyMouse Monoclonal Anti-DLL1Miltenyi Biotec130-106-148IF (1:25-1:250)
AntibodyMouse Monoclonal Anti-DLL1Miltenyi Biotec130-106-148FACS (10 µl per test)
AntibodyRabbit Polyclonal Anti-PARAXISSigmaHPA060221IF (1:25-1:250)
AntibodyRabbit Polyclonal Anti-MEOX1SigmaHPA045214-25ULIF (1:25-1:250)
AntibodyMouse Monoclonal Anti-PAX1Developmental Studies Hybridoma BankClone: C2IF (1:25-1:250)
AntibodyMouse Monoclonal Anti-PAX3Thermo Fisher60217-1-IGIF (1:25-1:250)
AntibodyMouse Monoclonal Anti-PAX9Thermo FisherH00005083-M03IF (1:25-1:250)
AntibodyRabbit Polyclonal Anti-NKX3.2SigmaHPA027564IF (1:25-1:250)
AntibodyRabbit Polyclonal Anti-SCXThermo FisherPA5-115874IF (1:25-1:250)
AntibodyGoat Polyclonal Anti-COL1Bio-Rad131001IF (1:25-1:250)
AntibodyRabbit Polyclonal Anti-TNMDSigmaHPA055634IF (1:25-1:250)
AntibodyMouse Monoclonal Anti-MKXThermo FisherMA5-26976IF (1:25-1:250)
AntibodyMonoclonal Mouse Anti-NeuritinR&D SystemsAF283IF (1:25-1:250)
AntibodyMouse Monoclonal Anti-SYPBiolegend837104IF (1:25-1:250)
AntibodyPolyclonal Sheep Anti-DCXR&D SystemsAF10025-100IF (1:25-1:250)
AntibodyMonoclonal Mouse Anti-NANOGSigma-AldrichAMAB91393IF (1:25-1:250)
AntibodyMonoclonal Mouse Anti-OCT4Cell SignallingD705ZIF (1:25-1:250)
Sequence-based reagentDynein light chain LC8-type 1Thermo FisherHs04378026_m1qPCR primers
Sequence-based reagentNeuritin 1Thermo FisherHs00213192_m1qPCR primers
Sequence-based reagentOne cut homeobox 2Thermo FisherHs00191477_m1qPCR primers
Sequence-based reagentFormin 1Thermo FisherHs05010770_m1qPCR primers
Sequence-based reagentNanog homeoboxThermo FisherHs02387400_g1qPCR primers
Sequence-based reagentPOU class 5 homeobox1Thermo FisherHS04260367_gHqPCR primers
Sequence-based reagentT-box transcription factor TThermo FisherHS00610080_m1qPCR primers
Sequence-based reagentSRY-box transcription factor 2Thermo FisherHS04260357_g1qPCR primers
Sequence-based reagentDelta like canonical notch ligand 1Thermo FisherHS01011330_m1qPCR primers
Sequence-based reagentT-box transcription factor 6Thermo FisherHs00365539_m1qPCR primers
Sequence-based reagentMesogenin 1Thermo FisherHs03405514_s1qPCR primers
Sequence-based reagentWnt family member 3AThermo FisherHs00263977_m1qPCR primers
Sequence-based reagentMesenchyme homeobox 1Thermo FisherHs00244943_m1qPCR primers
Sequence-based reagentTranscription factor 15Thermo FisherHs00231821_m1qPCR primers
Sequence-based reagentPaired box 3Thermo FisherHs00240950_m1qPCR primers
Sequence-based reagentPaired box 9Thermo FisherHs00196354_m1qPCR primers
Sequence-based reagentPaired box 1Thermo FisherHs01071292_m1qPCR primers
Sequence-based reagentNK3 homeobox 2Thermo FisherHs00154168_m1qPCR primers
Sequence-based reagentScleraxisThermo FisherHs03054634_g1qPCR primers
Sequence-based reagentTenomodulinThermo FisherHs00223332_m1qPCR primers
Sequence-based reagentTubulin polymerization promoting protein family member 3Thermo FisherHs03043892_m1qPCR primers
Sequence-based reagentPlatelet derived growth factor receptor alphaThermo FisherHs00998018_m1qPCR primers
Sequence-based reagentEarly growth response 1Thermo FisherHs00152928_m1qPCR primers
Sequence-based reagentCollagen type III alpha 1 chainThermo FisherHS00943809_m1qPCR primers
Sequence-based reagentCollagen type I alpha 1 chainThermo FisherHS00164004_m1qPCR primers
Peptide, recombinant proteinInsulinSigma-Aldrich674889
Peptide, recombinant proteinApo-Transferrin humanSigma-AldrichT1147
Peptide, recombinant protein1-ThioglycerolSigma-AldrichM6145
Peptide, recombinant proteinRecombinant human FGF-basic (146 a.a.)PeproTech100-18C
Peptide, recombinant proteinFGF-8PeproTechAF-100-25
Peptide, recombinant proteinHuman/mouse recombinant TGF-beta 3STEMCELL Technologies78131
Peptide, recombinant proteinRecombinant Human BMP-7PeproTech120-03P
Commercial assay or kitChromium Single-cell 3′ Reagent Kits10x GenomicsN/A
Chemical compound, drugDAPI (4′,6-Diamidino-2-Phenylindole, Dihydrochloride)InvitrogenD1306
Chemical compound, drugIMDM, no phenol redThermo Fisher21056023
Chemical compound, drugHam’s F-12 nutrient mixThermo Fisher11765047
Chemical compound, drugChemically defined lipid concentrateThermo Fisher11905031
Chemical compound, drugAntibiotic-antimycotic solutionThermo Fisher15240096
Chemical compound, drugSB 431542 hydrateSigma-AldrichS4317
Chemical compound, drugDMH-1 (CAS 1206711-16-1)Santa Cruz BiotechnologySc-361171
Chemical compound, drugCHIR99021Biogems2520691
Chemical compound, drugY-27632 DihydrochloridePeproTech/Biogems683093
Chemical compound, drugSAGPeproTech/Biogems9128694
Chemical compound, drugLDN193189PeproTech/Biogems1062443
Chemical compound, drugMatrigelCorning354230
Chemical compound, drugGeltrexThermo FisherA1413301
Chemical compound, drugDMSOSigma-AldrichD2650
Chemical compound, drugWnt-C59Cayman Chemical16644
Chemical compound, drugPoly-D-lysineThermo FisherA3890401
Software, algorithmR (v4.1.2)R Development Core Teamhttps://www.R-project.org
Software, algorithmRStudio (v1.4.1103)RStudio Team (2020). RStudio: Integrated Development for R. RStudio, PBChttps://www.rstudio.com/products/rstudio/
Software, algorithmCell Ranger (v3.0.0)10x Genomics
Software, algorithmLoupe Cell Browser (v3.0.0)10x Genomics
Software, algorithmSeurat (v4.1.0)Satija et al., 2015; Butler et al., 2018; Hao et al., 2021; Satija et al., 2015; Stuart and Satija, 2019https://satijalab.org/seurat
Software, algorithmMonocle (v2.18.0)Qiu et al., 2017a; Qiu et al., 2017b; Trapnell et al., 2014http://cole-trapnell-lab.github.io/monocle-release/

Additional files

Supplementary file 1

Normalized cell counts (expressed as %) per cluster following WNTi treatment, shown for the two cell lines, 007i and 83i.

https://cdn.elifesciences.org/articles/89652/elife-89652-supp1-v1.docx
MDAR checklist
https://cdn.elifesciences.org/articles/89652/elife-89652-mdarchecklist1-v1.pdf

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  1. Angela Papalamprou
  2. Victoria Yu
  3. Wensen Jiang
  4. Julia Sheyn
  5. Tina Stefanovic
  6. Angel Chen
  7. Chloe Castaneda
  8. Melissa Chavez
  9. Dmitriy Sheyn
(2026)
Single-cell transcriptomics-informed induced pluripotent stem cells differentiation to tenogenic lineage
eLife 12:RP89652.
https://doi.org/10.7554/eLife.89652.3