Graphical Abstract
Endothelial cells (ECs) line the inner wall of blood vessels and maintain tissue homeostasis by preserving vascular integrity via blood flow regulation and exchanging oxygen and nutrients. The heterogeneity of ECs across different organs was recently explored using single-cell RNA-sequencing (scRNA-seq) by multiple studies1. Compared to other organs, the lung exhibits a distinct morphology composed of a thin layer of capillary ECs for efficient gas exchange. Despite their vital role in lung function, neither a unique lung-specific EC gene nor a lung-EC specific Cre line has been identified in the literature. In this study, we demonstrate that Tmem100 is a lung-specific endothelium gene using scRNA-seq and lineage tracing approaches.
Via leveraging the recent murine ECs scRNA-seq dataset1, we found that Tmem100 is one of the top marker genes distinguishing lung ECs from other organs ECs such as heart, brain, kidney, small intestine, etc (Figure [A], i). We further extracted ECs transcriptomes from Tabula Muris scRNA-seq dataset2, and confirmed that Tmem100 is the lung EC-specific gene (Figure [A], ii). The expression of Tmem100 and VE-cadherin protein was validated across different organs by Western Blotting (Figure [A], iii). General ECs are characterized by uniform expression of vascular endothelial (VE)-cadherin (CDH5). To determine whether TMEM100 is selectively expressed in the human lung ECs compared with other cell types in the lung, we compared the expression pattern of TMEM100 and CDH5 in the scRNA-seq data from 12 healthy human lungs3. The expression pattern of TMEM100 is in parallel with CDH5 (Figure [A], iv), suggesting that TMEM100 is selectively expressed in lung ECs. Afterwards, we de novo analyzed lung scRNA datasets generated from adult mouse and rat (including both male and female) lungs in house and confirmed that Tmem100 is an EC selective marker in the rodent lung (data not shown).
To further determine the EC-selective expression of Tmem100 in vivo, we generated Tmem100ZsG mice via breeding Tmem100-CreERT2 mice (JAX: 014159) with ZsGreenLSL/LSL mice (JAX: 007906). The expression pattern of ZsGreen fluorescence indicates Tmem100 expression in mice after tamoxifen (20mg/kg, 5 doses, daily) treatment. We then visualized ZsGreen fluorescence together with pan EC marker CD31 in multiple organs including lung, heart, brain, kidney, and liver cryosections. Full organ slides imaging of ZsGreen showed that ZsGreen expression is robustly expressed in the lung and the right atrium compared to other organs examined (Figure [B], i). We also determine the expression of TMEM100 in different human organs and confirming that Tmem100 is predominantly a gene expressed in lung ECs (Figure [B], ii).
Following examination of the expression pattern of ZsGreen in the lung, we found that the ZsGreen+ cells colocalized with 96% CD31+ cells in the lung quantified by flow cytometry (data not shown). Recent studies employing scRNA-seq analysis demonstrated that lung ECs contain arterial (expressing markers Mgp, Sparcl1)1, venous (Prss23, Vwf)1, and general capillary ECs (Gpihbp1, Plvap), and aerocytes (Car4, Ednrb)1,4. Using similar markers to define EC subpopulations, our re-analyzed scRNA data showed that Tmem100 is higher in general capillary ECs and aerocytes, and lower in arterial ECs and venous ECs (Figure [C]). Immunostaining and quantification analysis confirmed that ZsGreen+ cells are robustly expressed in the capillary ECs (92%) and weakly expressed in the arterial (72%) and venous ECs (48.6%). (Figure [D], i). Human lung scRNA-seq data (Figure [A], iv) suggested TMEM100 was also expressed in some pericytes and smooth muscle cells (SMCs). We then stained our lung tissue with the pericyte marker NG2 and SMC marker α-SMA and found that not α-SMA+ cells (Figure [D], ii), but a few NG2+ cells (1%) (Figure [D], iii) colocalized with ZsGreen+ cells.
Fresh isolated mouse ECs express high TMEM100, whereas human pulmonary arterial ECs (PAECs) or microvascular ECs (PMVECs) do not express detectable TMEM100 in 2-dimension culture by Western Blotting. To overcome this limitation, we overexpressed TMEM100 fused with 3XFlag tag (synthesized by Genscript) via lentivirus (vector from Addgene:36084) in HPMVECs for RNA-seq analysis (Figure [E], i). We then performed enriched pathway analysis via Kyoto Encyclopedia of Genes and Genomes (KEGG) on the upregulated genes by TMEM100 overexpression, which pointed to Cell Cycle and DNA replication pathways (Figure [E], ii). TMEM100 overexpression promoted HPMVECs proliferation in vitro. (Figure [E], iii). Genetic deletion of Tmem100 in ECs impaired EC regeneration after endotoxin challenge (LPS, 5 mg/kg) in mice. (Figure [F], i, and [F], ii). This observation is consistent with a previous finding that Tmem100 deficiency in mice reduced retinal angiogenesis5. We did not observe EC junction integrity change by TMEM100 overexpression by assessing trans-endothelial resistance in vitro.
Via incorporating multiple scRNA-seq data from human and rodents, and lineage tracing analysis, our data proposed that Tmem100 as a selective lung EC marker. In addition to the existing EC-specific labeling Cre lines, Tmem100-CreERT2 mice might be an ideal tool for dissecting the role of lung specific ECs without affecting vascular beds in the organs outside the lung.
Supplementary Material
Highlights.
Tmem100 is enriched in lung endothelial cells
Tmem100-CreERT2 mice model is an ideal tool to label lung endothelial cells
Lung endothelial Tmem100 is required for endothelial regeneration
Acknowledgements
All animal protocols were approved by the Institutional Animal Care and Use Committee of University of Arizona. This study used samples, data, and/or services from the Discover Together Biobank at Cincinnati Children’s Research Foundation. We thank the Discover Together Biobank for support of this study, as well as participants and their families, whose help and participation made this work possible. The authors thank the Pulmonary Hypertension Breakthrough Initiative (PHBI) for providing the lung tissues. Funding for the PHBI is provided under an NHLBI R24 grant (R24HL123767).
Sources of Funding:
This work was supported in part by NIH grants R00HL138278, R01HL158596, American Heart Association Career Development Award 20CDA35310084, American Thoracic Society Foundation and Pulmonary Hypertension Association Research Fellowship, The Cardiovascular Medical and Education Fund, Arizona Biomedical Research Centre funding (ADHS18-198871), and University of Arizona Startup funding to Z.D.
Footnotes
Disclosure: The authors declare no conflict of interests.
Data availability:
RNA-seq data have been deposited in the GEO database under accession number GSE209868. Scripts used for single-cell RNA sequencing analysis and analyzed data in R objects are available in Figshare (https://doi.org/10.6084/m9.figshare.20430753.v1). Data not shown in the main figure can be accessed via: https://www.biorxiv.org/content/10.1101/2022.08.26.504609v1. Raw data and complete methods of this study are available from the corresponding author upon reasonable request.
Reference
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Associated Data
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Supplementary Materials
Data Availability Statement
RNA-seq data have been deposited in the GEO database under accession number GSE209868. Scripts used for single-cell RNA sequencing analysis and analyzed data in R objects are available in Figshare (https://doi.org/10.6084/m9.figshare.20430753.v1). Data not shown in the main figure can be accessed via: https://www.biorxiv.org/content/10.1101/2022.08.26.504609v1. Raw data and complete methods of this study are available from the corresponding author upon reasonable request.