Literature DB >> 31876148

Quantitatively Mapping the Assembly Pattern of EpCAM on Cell Membranes with Peptide Probes.

Yingying Jing1,2, Lulu Zhou1, Junling Chen1, Haijiao Xu1, Jiayin Sun1, Mingjun Cai1, Junguang Jiang1, Jing Gao1, Hongda Wang1,2,3.   

Abstract

Epithelial cell adhesion molecule (EpCAM) is an important type I transmembrane protein that is overexpressed on the surfaces of most cancer cells and involved in various biological processes such as cell adhesion and cell signaling. Although it plays crucial roles in cell functions and tumorigenesis, questions concerning the detailed morphology, molecular stoichiometry, and the assembly mechanisms of EpCAM on cell membranes have not been fully elucidated. Here, we used direct stochastic optical reconstruction microscopy (dSTORM) and relied on fluorophore-conjugated peptides to quantitatively analyze the assembly pattern of EpCAM with single-molecule precision. EpCAM was found to organize heterogeneous clusters with different sizes, which contain different numbers of EpCAM molecules on MCF-7 cell membranes. Moreover, dual-color dSTORM imaging revealed a significant correlation between EpCAM and tetraspanin CD9, and part of the EpCAM clusters could be disrupted by knockdown of CD9, which indicated that EpCAM might localize in tetraspanin-enriched microdomains (TEMs) and function cooperatively with CD9 on cell membranes. In addition, the assembly of the membrane EpCAM was found to be limited by both cytoskeleton and glycosylation. Overall, our work clarified the clustered distribution of EpCAM and revealed the potential mechanisms of its clustering at the molecular level, promoting a deeper understanding of the nano-organization of membrane proteins.

Entities:  

Year:  2020        PMID: 31876148     DOI: 10.1021/acs.analchem.9b03901

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

1.  Establishment of an optimized CTC detection model consisting of EpCAM, MUC1 and WT1 in epithelial ovarian cancer and its correlation with clinical characteristics.

Authors:  Tongxia Wang; Yan Gao; Xi Wang; Junrui Tian; Yuan Li; Bo Yu; Cuiyu Huang; Hui Li; Huamao Liang; David M Irwin; Huanran Tan; Hongyan Guo
Journal:  Chin J Cancer Res       Date:  2022-04-30       Impact factor: 4.026

2.  Mechanistic insights into HuR inhibitor MS-444 arresting embryonic development revealed by low-input RNA-seq and STORM.

Authors:  Yongqiang Nie; Wei Xu; Geng G Tian; Xiaowei Li; Yan Guo; Xuefeng Liu; Lin He; Zhifeng Shao; Xiaoyong Li; Ji Wu
Journal:  Cell Biol Toxicol       Date:  2022-09-10       Impact factor: 6.819

3.  Development of a Novel Anti-EpCAM Monoclonal Antibody for Various Applications.

Authors:  Guanjie Li; Hiroyuki Suzuki; Teizo Asano; Tomohiro Tanaka; Hiroyoshi Suzuki; Mika K Kaneko; Yukinari Kato
Journal:  Antibodies (Basel)       Date:  2022-06-08

4.  Anti‑EpCAM monoclonal antibody exerts antitumor activity against oral squamous cell carcinomas.

Authors:  Mika K Kaneko; Tomokazu Ohishi; Junko Takei; Masato Sano; Takuro Nakamura; Hideki Hosono; Miyuki Yanaka; Teizo Asano; Yusuke Sayama; Hiroyuki Harada; Manabu Kawada; Yukinari Kato
Journal:  Oncol Rep       Date:  2020-10-13       Impact factor: 3.906

  4 in total

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