Literature DB >> 28611869

Automatic optimization of drug cocktails on an integrated microfluidic system.

Wen-Yen Huang1, Ching-An Liu2, Rong-Syuan Fan1, Zhi-Da Lin1, Kuan Wang, Gwo-Bin Lee.   

Abstract

Drug cocktails have been popular for a variety of therapies of complicated diseases. Nevertheless, it is a tediously challenging task to optimize formulations, especially using traditional methods. Hence, an automatic system capable of precise dispensing multiple drugs is of great need. Herein, a new integrated microfluidic system combined with a two-axis traverse module was developed to dispense and mix a small amount of drug combination precisely and automatically. This on-chip dispensing process could be performed with a precise and accurate manner when compared to the manual operations. The efficacy of both single and multiple drugs could be examined through the developed microfluidic system with extremely low variation of drug formulations. Analysis of cell viabilities for normal and tumor cells was also performed to verify potential drug combinations. It is envisioned that this automatic system, which is flexible to combine with standard cell analysis methods and novel drug formulation algorithm, could provide precise and high-throughput drug cocktail formulations and expedite the drug screening processes.

Entities:  

Year:  2017        PMID: 28611869      PMCID: PMC5432379          DOI: 10.1063/1.4983614

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  22 in total

Review 1.  Fabrication of microfluidic systems in poly(dimethylsiloxane).

Authors:  J C McDonald; D C Duffy; J R Anderson; D T Chiu; H Wu; O J Schueller; G M Whitesides
Journal:  Electrophoresis       Date:  2000-01       Impact factor: 3.535

Review 2.  Micro total analysis systems. 2. Analytical standard operations and applications.

Authors:  Pierre-Alain Auroux; Dimitri Iossifidis; Darwin R Reyes; Andreas Manz
Journal:  Anal Chem       Date:  2002-06-15       Impact factor: 6.986

3.  Optimization of drug combinations using Feedback System Control.

Authors:  Patrycja Nowak-Sliwinska; Andrea Weiss; Xianting Ding; Paul J Dyson; Hubert van den Bergh; Arjan W Griffioen; Chih-Ming Ho
Journal:  Nat Protoc       Date:  2016-01-14       Impact factor: 13.491

4.  Cancer: mixing cocktails.

Authors:  Charles L Sawyers
Journal:  Nature       Date:  2007-10-25       Impact factor: 49.962

5.  Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm.

Authors:  Pak Kin Wong; Fuqu Yu; Arash Shahangian; Genhong Cheng; Ren Sun; Chih-Ming Ho
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-20       Impact factor: 11.205

6.  Development of a novel multi-layer microfluidic device towards characterization of drug metabolism and cytotoxicity for drug screening.

Authors:  Qin Wu; Dan Gao; Juntong Wei; Feng Jin; Weiyi Xie; Yuyang Jiang; Hongxia Liu
Journal:  Chem Commun (Camb)       Date:  2014-03-14       Impact factor: 6.222

7.  Rapidly optimizing an aptamer based BoNT sensor by feedback system control (FSC) scheme.

Authors:  Fang Wei; Bin Bai; Chih-Ming Ho
Journal:  Biosens Bioelectron       Date:  2011-09-20       Impact factor: 10.618

8.  Integrative systems control approach for reactivating Kaposi's sarcoma-associated herpesvirus (KSHV) with combinatory drugs.

Authors:  Chien-Pin Sun; Takane Usui; Fuqu Yu; Ibrahim Al-Shyoukh; Jeff Shamma; Ren Sun; Chih-Ming Ho
Journal:  Integr Biol (Camb)       Date:  2009-01       Impact factor: 2.192

9.  Cascade search for HSV-1 combinatorial drugs with high antiviral efficacy and low toxicity.

Authors:  Xianting Ding; David Jesse Sanchez; Arash Shahangian; Ibrahim Al-Shyoukh; Genhong Cheng; Chih-Ming Ho
Journal:  Int J Nanomedicine       Date:  2012-05-10

10.  A streamlined search technology for identification of synergistic drug combinations.

Authors:  Andrea Weiss; Robert H Berndsen; Xianting Ding; Chih-Ming Ho; Paul J Dyson; Hubert van den Bergh; Arjan W Griffioen; Patrycja Nowak-Sliwinska
Journal:  Sci Rep       Date:  2015-09-29       Impact factor: 4.379

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