Accurate and Effective Live Bacteria Microarray Patterning on Thick Polycationic Polymer Layer Co-Patterned with HMDS

Department of Mechanical and Aerospace Engineering, School of Engineering and Applied Science, University of California, Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095-1597, USA. Fax:+1 (310) 206 2302
RSC Advances (Impact Factor: 3.84). 09/2012; 2(20):7673-7676. DOI: 10.1039/C2RA20938A
Source: PubMed


A new bacteria microarray patterning technique is developed by patterning thick polycationic polymers on a glass surface, which generates high-coverage and high-precision E. coli cell patterns. Cell immobilization efficiency is greatly improved, compared to that of the conventional monolayer surface patterning approach. Cell viability tests show very low cytotoxicity of polyethyleneimine (PEI). This advancement should further accelerate biomedical and bacteriological research on the micro scale.

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Available from: Chunsheng Wu, Sep 09, 2015
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    ABSTRACT: In this paper we demonstrate a procedure for preparing bacterial arrays that is fast, easy, and applicable in a standard molecular biology laboratory. Microcontact printing is used to deposit chemicals promoting bacterial adherence in predefined positions on glass surfaces coated with polymers known for their resistance to bacterial adhesion. Highly ordered arrays of immobilized bacteria were obtained using microcontact printed islands of polydopamine (PD) on glass surfaces coated with the antiadhesive polymer polyethylene glycol (PEG). On such PEG-coated glass surfaces, bacteria were attached to 97 to 100% of the PD islands, 21 to 62% of which were occupied by a single bacterium. A viability test revealed that 99% of the bacteria were alive following immobilization onto patterned surfaces. Time series imaging of bacteria on such arrays revealed that the attached bacteria both divided and expressed green fluorescent protein, both of which indicates that this method of patterning of bacteria is a suitable method for single-cell analysis.
    PLoS ONE 06/2015; 10(6). DOI:10.1371/journal.pone.0128162 · 3.23 Impact Factor