{"database":"iProX","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Wenqing Shui"],"species":["Mus Musculus"],"full_dataset_link":["http://www.iprox.org/page/project.html?id=IPX0002210000"],"submitter_email":["shuiwq@shanghaitech.edu.cn"],"submitter_affiliation":["ShanghaiTech University"],"sample_protocol":[""],"repository":["iProX"],"data_protocol":[""],"pubmed_abstract":["Transmembrane proteins play vital roles in mediating synaptic transmission, plasticity, and homeostasis in the brain. However, these proteins, especially the G protein-coupled receptors (GPCRs), are underrepresented in most large-scale proteomic surveys. Here, we present a new proteomic approach aided by deep learning models for comprehensive profiling of transmembrane protein families in multiple mouse brain regions. Our multiregional proteome profiling highlights the considerable discrepancy between messenger RNA and protein distribution, especially for region-enriched GPCRs, and predicts an endogenous GPCR interaction network in the brain. Furthermore, our new approach reveals the transmembrane proteome remodeling landscape in the brain of a mouse depression model, which led to the identification of two previously unknown GPCR regulators of depressive-like behaviors. Our study provides an enabling technology and rich data resource to expand the understanding of transmembrane proteome organization and dynamics in the brain and accelerate the discovery of potential therapeutic targets for depression treatment."],"pubmed_title":["Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression."],"pubmed_authors":["Li Shanshan S, Luo Huoqing H, Lou Ronghui R, Tian Cuiping C, Miao Chen C, Xia Lisha L, Pan Chen C, Duan Xiaoxiao X, Dang Ting T, Li Hui H, Fan Chengyu C, Tang Pan P, Zhang Zhuangzhuang Z, Liu Yan Y, Li Yunxia Y, Xu Fei F, Zhang Yaoyang Y, Zhong Guisheng G, Zhong Guisheng G, Hu Ji J, Shui Wenqing W"],"additional_accession":[]},"is_claimable":false,"name":"Multiregional profiling of the brain transmembrane  proteome uncovers novel regulators of depression","description":"Our study provides an enabling technology and rich data resources to expand the understanding of transmembrane proteome organization and dynamics in the brain as well as accelerate the discovery of potential therapeutic targets for depression treatment.","dates":{"publication":"Mon Jul 26 00:00:00 GMT+01:00 2021"},"accession":"PXD027559","cross_references":{"TAXONOMY":["10090"],"pubmed":["34290087"]}}