Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo

The bioengineering of vascular networks is pivotal to creating complex tissues and organs for regenerative medicine applications. However, bioengineered tissues comprising an arterial and venous plexus alongside a lymphatic capillary network have not been explored yet. Here, we first employed scRNA-seq to investigate the arterio-venous endothelial cell marker patterning in human fetal and juvenile skin. Transcriptomic analysis revealed that arterial and venous endothelial cell markers NRP1 and NR2F2 are broadly expressed in fetal and juvenile skin. In contrast, expression of NRP1 and NR2F2 on the protein level was cell-type specific and was retained in 2D cultures in vitro. Finally, we bioengineered distinct arterial and venous capillaries in 3D hydrogels and demonstrated rapid anastomosis with the host vasculature in vivo. In summary, we established the bioengineering of human arterial, venous, and lymphatic capillaries, hence paving the way for these cells to be used in regenerative m..., , , # Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo

[https://doi.org/10.5061/dryad.mcvdnck85](https://doi.org/10.5061/dryad.mcvdnck85)

## Description of the data and file structure

The RDS file is a Single Cell Experiment R object that contains the normalized counts of the endothelial cells for the fetal and foreskin samples.

All annotations for cell type (eg A, C1, C2, V, P, and L1/L2) are contained in colData

Dimensional reduction for PCA and UMAP is in ReducedDim()

We have submitted our processed single-cell RNAseq data as a single-cell experiment (SCE) object (.rds).

The column data for the SCE object contains:

* Sample: name of the sample
* Barcode: cell barcode of the sample
* sum: total number of RNA counts for the sample
* detected: unique number of RNA detected for the sample
* percent.top_100: [percentage of RNA transcripts that are in the top 100 expressed genes
*...