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Pericytes are an important type of cell located along microvessels, typically embedded within the capillary basement membrane and enveloping endothelial cells1. In the brain, pericytes, together with endothelial cells, astrocytes, and other cell types, form the neurovascular unit and are integral to the structure and function of the blood-brain barrier (BBB). Pericytes play essential roles in the regulation of cerebral blood flow, vascular remodeling, and maintenance of vascular homeostasis. They maintain the integrity of the BBB through close physical interactions and paracrine signaling with neighboring cells2; dynamically regulate transendothelial transport via endocytosis and the expression of specific transporter proteins; and contribute to cerebral hemodynamic stability through their contractile and relaxant activities3. Dysfunction of pericytes, as well as alterations in their coverage or density, can lead to vascular dysregulation and neurological deficits, ultimately resulting in pathological changes associated with various neurological disorders4. However, the inherent heterogeneity of pericytes poses significant challenges for further mechanistic studies.
With the advancement of single-cell RNA sequencing (scRNA-seq) technology, an increasing number of studies have utilized scRNA-seq to explore cellular heterogeneity and identify key targets in the pathogenesis and progression of diseases. Commonly used pericyte markers include platelet-derived growth factor receptor-beta (PDGFR-β)5, neuron-glial antigen 2 (NG2), and alpha-smooth muscle actin (α-SMA). However, these markers have relatively poor specificity6, as they can simultaneously label other vascular cells, such as smooth muscle cells, and neural precursor cells like oligodendrocyte progenitor cells, making it difficult to distinguish pericytes from other brain cells. In search of a more robust alternative, we turned to CD13 (Aminopeptidase N, APN), a marker widely recognized for its strong and consistent expression in cerebrovascular pericytes in previous studies7,8,9,10. In our study, we conducted immunofluorescence staining on brain tissue sections, and the results confirmed CD13 expression in pericytes, demonstrating its effectiveness in distinguishing pericytes from endothelial cells, as the CD13 signal was exclusively associated with perivascular cells and absent from CD31⁺ endothelial cells. (Figure 1A). However, it is important to note that CD13 expression is not entirely exclusive to pericytes; detectable levels are also observed in smooth muscle cells of arterioles and venules (Figure 1B,C).

Figure 1: Immunofluorescence staining shows CD13 expression in brain vascular pericytes and smooth muscle cells, with no detectable signal in endothelial cells. (A) Representative immunofluorescence imaging of the arteriole-capillary transition zone in the brain microvasculature. The merged image shows CD13⁺ pericyte (green) ensheathing CD31⁺ endothelial cells (red). α-SMA+ smooth muscle cells (cyan) are localized to the arteriolar region and are absent from capillaries. (B) Cross-section of an arteriole. The images demonstrate clear co-localization of CD13⁺ pericyte (green) and α-SMA+ smooth muscle cells (cyan) in the surrounding smooth muscle layer, confirming CD13 expression in arteriolar smooth muscle cells. (C) Cross-section of a venule. Similarly, CD13 (green) is detectable in the α-SMA smooth muscle cells (arrowheads) of the venular wall. Scale bar: 20 µm (A-C). Please click here to view a larger version of this figure.
To obtain mouse cortical vascular pericytes that meet the requirements for scRNA-seq, we performed fluorescence-activated cell sorting (FACS) using CD13⁺/CD31⁻ antibody labeling for pericyte isolation11. Initially, CD45 and CD41 markers were used to exclude hematopoietic cells from brain tissue suspensions12. Subsequently, pericytes were enriched by selecting for CD13+ cells, and endothelial cells were further excluded by gating for CD31- populations, thereby isolating the target pericyte population13.
We acknowledge that the CD13-positive selection step concomitantly captures CD13-expressing smooth muscle cells from both arterioles and venules. To fulfill the critical requirements for scRNA-seq and maximize pericyte retention, we strategically selected this marker combination to prioritize pericyte yield at the sorting stage. Although this approach leads to the co-isolation of a minor population of smooth muscle cells, it effectively maximizes the recovery of all potential pericytes during the preliminary enrichment phase. This stepwise gating strategy significantly minimizes initial cell loss. In addition, to maximize pericyte viability and yield, we also employed a 20% BSA solution for post-dissociation cell resuspension and filtration, effectively removing debris while preserving sorted cell viability and purity14.
Using this method, we successfully distinguished brain vascular pericytes from other cell types, achieving high-purity and high-viability pericyte preparations that fulfill the stringent requirements for scRNA-seq. This technique provides a robust foundation for subsequent in-depth investigations into the roles of pericytes in various disease contexts.