PURPOSE: We have previously used Immuno Tomography (IT) to identify label-retaining stem cell populations in the cornea and meibomian gland. While this method provides the unique ability to quantify stem cell populations comprised of 1-4 cells, the number of antigens that can be sequentially used to characterize these unique cells is limited by antigen stability after antibody stripping and re-probing. To address this deficiency, we have evaluated the capability of Imaging Mass Cytometry⢠(IMCâ¢) to generate multiplexed images using metal-conjugated antibodies to label IT plastic sections and generate 3-dimensional IMC data sets (3D IMC). METHODS: K5-H2B-GFP mice, 56 days after doxycycline chase, were sacrificed and eyelid tissue processed for IT. A total of 400 serial, plastic sections, 2 μm thick, were then probed using metal-tagged antibodies specific for sox 9, collagen type I, E-cadherin, Ki67, GFP, αSMA, vimentin, and DNA intercalator. Multiplexed images were then generated using an Imaging Mass Cytometry system (Fluidigm®), and 3D reconstructions were assembled. RESULTS: All 8 metal-labeled tags were detected and their images were successfully assembled into 3D IMC data sets. GFP-labeled nuclei were identified within the meibomian glands in comparable numbers to those previously reported for slow-cycling meibomian gland stem cells. CONCLUSIONS: These findings demonstrate that IMC can be used on plastic sections to generate multiplexed, 3D data sets that can be reconstructed to show the spatial localization of meibomian gland stem cells. We propose that 3D IMC might prove valuable in more fully characterizing stem cell populations in different tissues.
Immuno Tomography (IT) and Imaging Mass Cytometry (IMC) for constructing spatially resolved, multiplexed 3D IMC data sets.
免疫断层扫描 (IT) 和成像质谱流式细胞术 (IMC) 用于构建空间分辨的多重 3D IMC 数据集
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作者:Gheiratmand Ladan, Brown Donald J, Sandkuijl Daaf, Loboda Alexander, Jester James V
| 期刊: | Ocular Surface | 影响因子: | 5.600 |
| 时间: | 2022 | 起止号: | 2022 Jul;25:49-54 |
| doi: | 10.1016/j.jtos.2022.04.008 | 方法学: | FCM |
| 研究方向: | 细胞生物学 | ||
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