Literature DB >> 26435344

A Cell ELISA for the quantification of MUC1 mucin (CD227) expressed by cancer cells of epithelial and neuroectodermal origin.

Rana Falahat1, Marzenna Wiranowska2, Nathan D Gallant3, Ryan Toomey1, Robert Hill4, Norma Alcantar5.   

Abstract

Quantitative analysis of MUC1, a cell membrane associated mucin, expressed by intact cells of epithelial origin previously has been limited to flow cytometry, which requires using large quantities of cells and antibodies. Here, for the first time, we report the development of a novel Cellular-based Enzyme Linked Immunosorbent Assay (Cell ELISA) to quantify the expression of MUC1 by cell lines of epithelial and neuroectodermal origin using an antibody recognizing a specific tandem repeat found in the extracellular domain of MUC1. In contrast to flow cytometry, this method requires a much lower number of cells. We report here the results obtained from two variants of this Cell ELISA in live and fixed cells. We found that the Cell ELISA in live cells was not sensitive enough to detect a difference in MUC1 levels between the normal cells and tumor cells. However, we found that Cell ELISA in fixed cells followed by whole cell staining was a dependable method of MUC1 level detection in the normal and tumor cells showing significantly higher levels of MUC1 receptor in the tumor cells when compared to the normal controls. Therefore, we conclude that the Cell ELISA in fixed cells is an efficient method for quantifying the expression of MUC1 by epithelial and neuroectodermal cancer cell lines.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cell ELISA; Flow cytometry; Glioma; MUC1 quantification; Normal ovarian epithelial; Ovarian carcinoma; Western blot

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Year:  2015        PMID: 26435344     DOI: 10.1016/j.cellimm.2015.09.009

Source DB:  PubMed          Journal:  Cell Immunol        ISSN: 0008-8749            Impact factor:   4.868


  3 in total

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Authors:  Zheng Li; Guobin Mao; Mingyuan Du; Songbai Tian; Longqing Niu; Xinghu Ji; Zhike He
Journal:  Mikrochim Acta       Date:  2019-03-09       Impact factor: 5.833

2.  EPCR promotes MGC803 human gastric cancer cell tumor angiogenesis in vitro through activating ERK1/2 and AKT in a PAR1-dependent manner.

Authors:  Qingling Wang; Yangyang Tang; Tianyuan Wang; Hong-Li Yang; Xinyue Wang; Hongru Ma; Peng Zhang
Journal:  Oncol Lett       Date:  2018-06-01       Impact factor: 2.967

3.  Predictive model for risk of gastric cancer using genetic variants from genome-wide association studies and high-evidence meta-analysis.

Authors:  Lixin Qiu; Xiaofei Qu; Jing He; Lei Cheng; Ruoxin Zhang; Menghong Sun; Yajun Yang; Jiucun Wang; Mengyun Wang; Xiaodong Zhu; Weijian Guo
Journal:  Cancer Med       Date:  2020-08-10       Impact factor: 4.452

  3 in total

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