Literature DB >> 27033300

High-throughput screening of antibiotic-resistant bacteria in picodroplets.

X Liu1, R E Painter2, K Enesa1, D Holmes1, G Whyte3, C G Garlisi2, F J Monsma2, M Rehak1, F F Craig1, C A Smith1.   

Abstract

The prevalence of clinically-relevant bacterial strains resistant to current antibiotic therapies is increasing and has been recognized as a major health threat. For example, multidrug-resistant tuberculosis and methicillin-resistant Staphylococcus aureus are of global concern. Novel methodologies are needed to identify new targets or novel compounds unaffected by pre-existing resistance mechanisms. Recently, water-in-oil picodroplets have been used as an alternative to conventional high-throughput methods, especially for phenotypic screening. Here we demonstrate a novel microfluidic-based picodroplet platform which enables high-throughput assessment and isolation of antibiotic-resistant bacteria in a label-free manner. As a proof-of-concept, the system was used to isolate fusidic acid-resistant mutants and estimate the frequency of resistance among a population of Escherichia coli (strain HS151). This approach can be used for rapid screening of rare antibiotic-resistant mutants to help identify novel compound/target pairs.

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Year:  2016        PMID: 27033300     DOI: 10.1039/c6lc00180g

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  28 in total

Review 1.  Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2018-05-24

2.  Accelerating bacterial growth detection and antimicrobial susceptibility assessment in integrated picoliter droplet platform.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Liben Chen; Dong Jin Shin; Joseph C Liao; Tza-Huei Wang
Journal:  Biosens Bioelectron       Date:  2017-11-15       Impact factor: 10.618

3.  Droplet Microfluidics for Microbial Biotechnology.

Authors:  Sundar Hengoju; Miguel Tovar; DeDe Kwun Wai Man; Stefanie Buchheim; Miriam A Rosenbaum
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

4.  Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing.

Authors:  Yiyan Li; Xing Yang; Weian Zhao
Journal:  SLAS Technol       Date:  2017-08-29       Impact factor: 3.047

5.  Microfluidic detection of movements of Escherichia coli for rapid antibiotic susceptibility testing.

Authors:  Vural Kara; Chuanhua Duan; Kalpana Gupta; Shinichiro Kurosawa; Deborah J Stearns-Kurosawa; Kamil L Ekinci
Journal:  Lab Chip       Date:  2018-02-27       Impact factor: 6.799

6.  Enrichment of rare events using a multi-parameter high throughput microfluidic droplet sorter.

Authors:  Sheng-Ting Hung; Srijit Mukherjee; Ralph Jimenez
Journal:  Lab Chip       Date:  2020-01-24       Impact factor: 6.799

7.  Simple and Precise Counting of Viable Bacteria by Resazurin-Amplified Picoarray Detection.

Authors:  Kuangwen Hsieh; Helena C Zec; Liben Chen; Aniruddha M Kaushik; Kathleen E Mach; Joseph C Liao; Tza-Huei Wang
Journal:  Anal Chem       Date:  2018-07-17       Impact factor: 6.986

8.  Microfluidic Systems for Antimicrobial Susceptibility Testing.

Authors:  Ann-Kathrin Klein; Andreas Dietzel
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

9.  Image-Based Single Cell Sorting Automation in Droplet Microfluidics.

Authors:  Muhsincan Sesen; Graeme Whyte
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

Review 10.  The Role of Single-Cell Technology in the Study and Control of Infectious Diseases.

Authors:  Weikang Nicholas Lin; Matthew Zirui Tay; Ri Lu; Yi Liu; Chia-Hung Chen; Lih Feng Cheow
Journal:  Cells       Date:  2020-06-10       Impact factor: 6.600

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