Literature DB >> 23654257

PaR-PaR laboratory automation platform.

Gregory Linshiz1, Nina Stawski, Sean Poust, Changhao Bi, Jay D Keasling, Nathan J Hillson.   

Abstract

Labor-intensive multistep biological tasks, such as the construction and cloning of DNA molecules, are prime candidates for laboratory automation. Flexible and biology-friendly operation of robotic equipment is key to its successful integration in biological laboratories, and the efforts required to operate a robot must be much smaller than the alternative manual lab work. To achieve these goals, a simple high-level biology-friendly robot programming language is needed. We have developed and experimentally validated such a language: Programming a Robot (PaR-PaR). The syntax and compiler for the language are based on computer science principles and a deep understanding of biological workflows. PaR-PaR allows researchers to use liquid-handling robots effectively, enabling experiments that would not have been considered previously. After minimal training, a biologist can independently write complicated protocols for a robot within an hour. Adoption of PaR-PaR as a standard cross-platform language would enable hand-written or software-generated robotic protocols to be shared across laboratories.

Entities:  

Mesh:

Year:  2012        PMID: 23654257     DOI: 10.1021/sb300075t

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  16 in total

Review 1.  DNA assembly techniques for next-generation combinatorial biosynthesis of natural products.

Authors:  Ryan E Cobb; Jonathan C Ning; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2013-10-15       Impact factor: 3.346

Review 2.  Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development.

Authors:  Chris J Paddon; Jay D Keasling
Journal:  Nat Rev Microbiol       Date:  2014-04-01       Impact factor: 60.633

Review 3.  Recent advances in DNA assembly technologies.

Authors:  Ran Chao; Yongbo Yuan; Huimin Zhao
Journal:  FEMS Yeast Res       Date:  2015-01-14       Impact factor: 2.796

Review 4.  Rapid prototyping of microbial cell factories via genome-scale engineering.

Authors:  Tong Si; Han Xiao; Huimin Zhao
Journal:  Biotechnol Adv       Date:  2014-11-20       Impact factor: 14.227

5.  Signal-to-Noise Ratio Measures Efficacy of Biological Computing Devices and Circuits.

Authors:  Jacob Beal
Journal:  Front Bioeng Biotechnol       Date:  2015-06-30

Review 6.  Bridging the gap: a roadmap to breaking the biological design barrier.

Authors:  Jacob Beal
Journal:  Front Bioeng Biotechnol       Date:  2015-01-20

Review 7.  Developments in the tools and methodologies of synthetic biology.

Authors:  Richard Kelwick; James T MacDonald; Alexander J Webb; Paul Freemont
Journal:  Front Bioeng Biotechnol       Date:  2014-11-26

8.  Cloud-enabled microscopy and droplet microfluidic platform for specific detection of Escherichia coli in water.

Authors:  Alexander Golberg; Gregory Linshiz; Ilia Kravets; Nina Stawski; Nathan J Hillson; Martin L Yarmush; Robert S Marks; Tania Konry
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

9.  Development of a broad-host synthetic biology toolbox for Ralstonia eutropha and its application to engineering hydrocarbon biofuel production.

Authors:  Changhao Bi; Peter Su; Jana Müller; Yi-Chun Yeh; Swapnil R Chhabra; Harry R Beller; Steven W Singer; Nathan J Hillson
Journal:  Microb Cell Fact       Date:  2013-11-13       Impact factor: 5.328

10.  End-to-end automated microfluidic platform for synthetic biology: from design to functional analysis.

Authors:  Gregory Linshiz; Erik Jensen; Nina Stawski; Changhao Bi; Nick Elsbree; Hong Jiao; Jungkyu Kim; Richard Mathies; Jay D Keasling; Nathan J Hillson
Journal:  J Biol Eng       Date:  2016-02-02       Impact factor: 4.355

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.