AIMS: We sought to identify and optimise a universally available histological marker for pericytes in the human brain. Such a marker could be a useful tool for researchers. Further, identifying a gene expressed relatively specifically in human pericytes could provide new insights into the biological functions of this fascinating cell type. METHODS: We analysed single-cell RNA expression profiles derived from different human and mouse brain regions using a high-throughput and low-cost single-cell transcriptome sequencing method called EasySci. Through this analysis, we were able to identify specific gene markers for pericytes, some of which had not been previously characterised. We then used commercially (and therefore universally) available antibodies to immunolabel the pericyte-specific gene products in formalin-fixed paraffin-embedded (FFPE) human brains and also performed immunoblots to determine whether appropriately sized proteins were recognised. RESULTS: In the EasySci data sets, highly pericyte-enriched expression was notable for SLC6A12 and SLC19A1. Antibodies against these proteins recognised bands of approximately the correct size in immunoblots of human brain extracts. Following optimisation of the immunohistochemical technique, staining for both antibodies was strongly positive in small blood vessels and was far more effective than a PDGFRB antibody at staining pericyte-like cells in FFPE human brain sections. In an exploratory sample of other human organs (kidney, lung, liver, muscle), immunohistochemistry did not show the same pericyte-like pattern of staining. CONCLUSIONS: The SLC6A12 antibody was well suited for labelling pericytes in human FFPE brain sections, based on the combined results of single-cell RNA-seq analyses, immunoblots and immunohistochemical studies.
A high-throughput single-cell RNA expression profiling method identifies human pericyte markers.
高通量单细胞RNA表达谱分析方法鉴定人类周细胞标志物
阅读:5
作者:Sziraki Andras, Zhong Yu, Neltner Allison M, Niedowicz Dana M, Rogers Colin B, Wilcock Donna M, Nehra Geetika, Neltner Janna H, Smith Rebecca R, Hartz Anika M, Cao Junyue, Nelson Peter T
| 期刊: | Neuropathology and Applied Neurobiology | 影响因子: | 3.400 |
| 时间: | 2023 | 起止号: | 2023 Dec;49(6):e12942 |
| doi: | 10.1111/nan.12942 | 种属: | Human |
| 研究方向: | 细胞生物学 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
