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Peptide-Fluorescent Bacteria Complex as Luminescent Reagents for Cancer Diagnosis

Overview of attention for article published in PLOS ONE, January 2013
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Title
Peptide-Fluorescent Bacteria Complex as Luminescent Reagents for Cancer Diagnosis
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054467
Pubmed ID
Authors

Bing Dong, Anxin Wang, Lihua Yuan, Lisha Chen, Kefeng Pu, Wei Duan, Xiyun Yan, Yimin Zhu

Abstract

Currently in clinic, people use hematoxylin and eosin stain (H&E stain) and immunohistochemistry methods to identify the generation and genre of cancers for human pathological samples. Since these methods are inaccurate and time consuming, developing a rapid and accurate method to detect cancer is urgently demanded. In our study, binding peptides for lung cancer cell line A549 were identified using bacteria surface display method. With those binding peptides for A549 cells on the surface, the fluorescent bacteria (Escherichia coli with stably expressed green fluorescent protein) were served as specific detecting reagents for the diagnosis of cancers. The binding activity of peptide-fluorescent bacteria complex was confirmed by detached cancer cells, attached cancer cells and mice tumor xenograft samples. A unique fixation method was developed for peptide-bacteria complex in order to make this complex more feasible for the clinic use. This peptide-fluorescent bacteria complex has great potential to become a new diagnostic tool for clinical application.

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Professor 1 10%
Researcher 1 10%
Lecturer > Senior Lecturer 1 10%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 20%
Earth and Planetary Sciences 2 20%
Immunology and Microbiology 1 10%
Medicine and Dentistry 1 10%
Chemistry 1 10%
Other 0 0%
Unknown 3 30%