Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues

小鼠组织中巨噬细胞的整合蛋白质组学和转录组学图谱

阅读:4
作者:Jingbo Qie # ,Yang Liu # ,Yunzhi Wang # ,Fan Zhang # ,Zhaoyu Qin ,Sha Tian ,Mingwei Liu ,Kai Li ,Wenhao Shi ,Lei Song ,Mingjun Sun ,Yexin Tong ,Ping Hu ,Tao Gong ,Xiaqiong Wang ,Yi Huang ,Bolong Lin ,Xuesen Zheng ,Rongbin Zhou ,Jie Lv ,Changsheng Du ,Yi Wang ,Jun Qin ,Wenjun Yang ,Fuchu He ,Chen Ding

Abstract

Macrophages are involved in tissue homeostasis and are critical for innate immune responses, yet distinct macrophage populations in different tissues exhibit diverse gene expression patterns and biological processes. While tissue-specific macrophage epigenomic and transcriptomic profiles have been reported, proteomes of different macrophage populations remain poorly characterized. Here we use mass spectrometry and bulk RNA sequencing to assess the proteomic and transcriptomic patterns, respectively, of 10 primary macrophage populations from seven mouse tissues, bone marrow-derived macrophages and the cell line RAW264.7. The results show distinct proteomic landscape and protein copy numbers between tissue-resident and recruited macrophages. Construction of a hierarchical regulatory network finds cell-type-specific transcription factors of macrophages serving as hubs for denoting tissue and functional identity of individual macrophage subsets. Finally, Il18 is validated to be essential in distinguishing molecular signatures and cellular function features between tissue-resident and recruited macrophages in the lung and liver. In summary, these deposited datasets and our open proteome server ( http://macrophage.mouseprotein.cn ) integrating all information will provide a valuable resource for future functional and mechanistic studies of mouse macrophages.

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。