Abstract
The T-box family transcription factor 18 (Tbx18) has been found to play a critical role in regulating the development of the mammalian heart during the primary stages of embryonic development while the cellular heterogeneity and landscape of Tbx18-positive (Tbx18+) cardiac cells remain incompletely characterized. Here, we analyzed prior published single-cell RNA sequencing (scRNA-seq) mouse heart data to explore the heterogeneity of Tbx18+ cardiac cell subpopulations and provide a comprehensive transcriptional landscape of Tbx18+ cardiac cells during their development. Bioinformatic analysis methods were utilized to identify the heterogeneity between cell groups. Based on the gene expression characteristics, Tbx18+ cardiac cells can be classified into a minimum of two distinct cell populations, namely fibroblast-like cells and cardiomyocytes. In terms of temporal heterogeneity, these cells exhibit three developmental stages, namely the MEM stage, ML_P0 stage, and P stage Tbx18+ cardiac cells. Furthermore, Tbx18+ cardiac cells encompass several cell types, including cardiac progenitor-like cells, cardiomyocytes, and epicardial/stromal cells, as determined by specific transcriptional regulatory networks. The scRNA-seq results revealed the involvement of extracellular matrix (ECM) signals and epicardial epithelial-to-mesenchymal transition (EMT) in the development of Tbx18+ cardiac cells. The utilization of a lineage-tracing model served to validate the crucial function of Tbx18 in the differentiation of cardiac cells. Consequently, these findings offer a comprehensive depiction of the cellular heterogeneity within Tbx18+ cardiac cells.
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Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author Jianlin Du.
Abbreviations
- Tbx18+ :
-
Tbx18-positive
- E:
-
Embryonic
- P:
-
Postnatal
- ScRNA-seq:
-
Single-cell RNA sequencing
- ECM:
-
Extracellular matrix
- EMT:
-
Epithelial-to-mesenchymal transition
- CPC:
-
Cardiac progenitor cell
- TF:
-
Transcription factor
- SCENIC:
-
Single-cell regulatory network inference and clustering
- PCR:
-
Polymerase chain reaction
- GRN:
-
Gene regulatory network
- t-SNE:
-
T-distributed stochastic neighbor embedding
- DEGs:
-
Differentially expressed genes
- GO:
-
Gene Ontology
- KEGG:
-
Kyoto Encyclopedia of Genes and Genomes
- EPDCs:
-
Epicardial-derived cells
- hiPSCs:
-
Human-induced pluripotent stem cells
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Acknowledgements
We thank Haijun Deng for his assistance with bioinformatic analysis and the processing of single-cell RNA-seq data. And we thank the other members of the Tbx18-positive cardiac cell study group from the Second Affiliated Hospital of Chongqing Medical University for their assistance: Qiang She, Songbai Deng, Xiaodong Jing, and Jing Wang. Figure 1 was created with BioRender.com.
Funding
This work was supported by grants from the Natural Science Foundation of Chongqing Science and Technology Commission (cstc2020jcyj-msxmX0210), Future Medicine Youth Innovation Team Development Support Program of Chongqing Medical University (W0133), High-End Medical Talents Project of Middle-Aged and Young People in Chongqing (JianlinDu [2022]) and Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University.
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Xianglin Long: methodology, software, writing-original draft, and investigation. Jiangjun Wei: software and writing-original draft. Qinghua Fang: visualization and software. Xin Yuan: writing-review and editing and project administration. Jianlin Du: conceptualization, resources, writing-review and editing, supervision, project administration, and funding acquisition. All authors contributed to the article and approved the submitted version.
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All animal experiments were maintained according to the Regulation for the Administration of Affairs Concerning Experimental Animals (State Council of China, 2017 Revision), and our study was approved by the Commission of Chongqing Medical University for the Ethics of Animal Experiments.
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Supplementary Fig. 1 Heatmap showing the row-scaled expression of the top DEGs per cluster for all Tbx18+ cardiac cells (JPG 12929 KB)
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Supplementary Fig. 2 (A) Feature plots displayed the expression of the ECM-related genes of C0 to C9 clusters. (B, C) The GO and KEGG enrichment analysis of the C1 cluster. (D, E) The GO and KEGG enrichment analysis of the C5 cluster. The “Rich_factor” is the ratio of differentially expressed gene numbers annotated in this pathway term to all gene numbers annotated in this pathway term. The greater the Rich factor, the greater the degree of pathway enrichment. The values of rich factors are expressed as percentages (%) (JPG 4263 KB)
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Supplementary Fig. 3 (A, B) The GO and KEGG enrichment analysis of the MEM stage cells. (C, D) The GO and KEGG enrichment analysis of the ML_P0 stage cells. (E, F) The GO and KEGG enrichment analysis of the P-stage cells. The “Rich_factor” is the ratio of differentially expressed gene numbers annotated in this pathway term to all gene numbers annotated in this pathway term. The greater the Rich factor, the greater the degree of pathway enrichment. The values of rich factors are expressed as percentages (%) (JPG 8687 KB)
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Supplementary Fig. 5 (A-D) The Regulon specificity score map showed each stage's top 5 specific regulons. (E–F) The TF Twist regulon expression and activities were quantified using AUCell (JPG 3765 KB)
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Long, X., Wei, J., Fang, Q. et al. Single-cell RNA sequencing reveals the transcriptional heterogeneity of Tbx18-positive cardiac cells during heart development. Funct Integr Genomics 24, 18 (2024). https://doi.org/10.1007/s10142-024-01290-6
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DOI: https://doi.org/10.1007/s10142-024-01290-6