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从小鼠皮肤伤口中分离巨噬细胞用于单细胞 RNA 测序。

Isolation of macrophages from mouse skin wounds for single-cell RNA sequencing.

机构信息

Department of Dermatology, University of Cologne, 50937 Cologne, Germany.

DRESDEN-concept Genome Center (DcGC), Center for Molecular and Cellular Bioengineering, TU Dresden, 01307 Dresden, Germany.

出版信息

STAR Protoc. 2022 Apr 19;3(2):101337. doi: 10.1016/j.xpro.2022.101337. eCollection 2022 Jun 17.

Abstract

Understanding macrophage heterogeneity in tissue repair is a major challenge. Here, we describe a protocol that combines isolation of immune cells from skin wounds with subsequent flow-cytometry-based sorting of wound macrophages and single-cell RNA sequencing. We use a modified version of the original Smart-seq2 protocol to increase speed and accuracy. This protocol is useful for analyzing the pronounced heterogeneity of activation phenotypes in wound macrophages and might be adapted to other experimental models of skin inflammation. For complete details on the use and execution of this protocol, please refer to Willenborg et al. (2021).

摘要

理解组织修复中的巨噬细胞异质性是一个主要挑战。在这里,我们描述了一种从皮肤伤口中分离免疫细胞,然后进行基于流式细胞术的伤口巨噬细胞分选和单细胞 RNA 测序的方案。我们使用改良的 Smart-seq2 方案来提高速度和准确性。该方案可用于分析伤口巨噬细胞中激活表型的显著异质性,并可能适用于其他皮肤炎症的实验模型。有关该方案的使用和实施的完整详细信息,请参阅 Willenborg 等人。(2021 年)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cae1/9046999/b81f55fcd994/fx1.jpg

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