Multiplex immunofluorescence-guided laser capture microdissection for spatial transcriptomics of metastatic melanoma tissues

We describe a pipeline for optimized and streamlined multiplexed immunofluorescence-guided laser capture microdissection allowing the harvest of individual cells based on their phenotype and tissue localization for transcriptomic analysis with next-generation RNA sequencing. Here, we analyze transcr...

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Veröffentlicht in:STAR protocols 2022-12, Vol.3 (4), p.101698-101698, Article 101698
Hauptverfasser: Martinek, Jan, Wu, Te-Chia, Sun, Lili, Lin, Jianan, Kim, Kyung In, Marches, Florentina, Robson, Paul, George, Joshy, Palucka, Karolina
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Sprache:eng
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Zusammenfassung:We describe a pipeline for optimized and streamlined multiplexed immunofluorescence-guided laser capture microdissection allowing the harvest of individual cells based on their phenotype and tissue localization for transcriptomic analysis with next-generation RNA sequencing. Here, we analyze transcriptomes of CD3+ T cells, CD14+ monocytes/macrophages, and melanoma cells in non-dissociated metastatic melanoma tissue. While this protocol is described for melanoma tissues, we successfully applied it to human tonsil, skin, and breast cancer tissues as well as mouse lung tissues. For complete details on the use and execution of this protocol, please refer to Martinek et al. (2022). [Display omitted] •Assessing the topology and transcriptome of individual cells in human melanoma tissue•Optimized immunofluorescence staining protocol for RNA preservation•Multiplexed immunofluorescence-based harvest of individual cells from tissues•RNA library preparation for next-generation sequencing Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. We describe a pipeline for optimized and streamlined multiplexed immunofluorescence-guided laser capture microdissection allowing the harvest of individual cells based on their phenotype and tissue localization for transcriptomic analysis with next-generation RNA sequencing. Here, we analyze transcriptomes of CD3+ T cells, CD14+ monocytes/macrophages, and melanoma cells in non-dissociated metastatic melanoma tissue. While this protocol is described for melanoma tissues, we successfully applied it to human tonsil, skin, and breast cancer tissues as well as mouse lung tissues.
ISSN:2666-1667
2666-1667
DOI:10.1016/j.xpro.2022.101698