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Machine-driven parameter screen of biochemical reactions
The development of complex methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where optima are sought in a multidimensional parameter space through step-by-step optimizations. The difficulty of miniaturizing reactions under the microliter volumes usually...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144897/ https://www.ncbi.nlm.nih.gov/pubmed/32025730 http://dx.doi.org/10.1093/nar/gkaa079 |
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author | Poulain, Stéphane Arnaud, Ophélie Kato, Sachi Chen, Iris Ishida, Hiro Carninci, Piero Plessy, Charles |
author_facet | Poulain, Stéphane Arnaud, Ophélie Kato, Sachi Chen, Iris Ishida, Hiro Carninci, Piero Plessy, Charles |
author_sort | Poulain, Stéphane |
collection | PubMed |
description | The development of complex methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where optima are sought in a multidimensional parameter space through step-by-step optimizations. The difficulty of miniaturizing reactions under the microliter volumes usually handled in multiwell plates by robots, plus the cost of the experiments, limit the number of parameters and the dynamic ranges that can be explored. Nevertheless, because of non-linearities of the response of biochemical systems to their reagent concentrations, broad dynamic ranges are necessary. Here we use a high-performance nanoliter handling platform and computer generation of liquid transfer programs to explore in quadruplicates 648 combinations of 4 parameters of a biochemical reaction, the reverse-transcription, which lead us to uncover non-linear responses, parameter interactions and novel mechanistic insights. With the increased availability of computer-driven laboratory platforms for biotechnology, our results demonstrate the feasibility and advantage of methods development based on reproducible, computer-aided exhaustive characterization of biochemical systems. |
format | Online Article Text |
id | pubmed-7144897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71448972020-04-13 Machine-driven parameter screen of biochemical reactions Poulain, Stéphane Arnaud, Ophélie Kato, Sachi Chen, Iris Ishida, Hiro Carninci, Piero Plessy, Charles Nucleic Acids Res Methods Online The development of complex methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where optima are sought in a multidimensional parameter space through step-by-step optimizations. The difficulty of miniaturizing reactions under the microliter volumes usually handled in multiwell plates by robots, plus the cost of the experiments, limit the number of parameters and the dynamic ranges that can be explored. Nevertheless, because of non-linearities of the response of biochemical systems to their reagent concentrations, broad dynamic ranges are necessary. Here we use a high-performance nanoliter handling platform and computer generation of liquid transfer programs to explore in quadruplicates 648 combinations of 4 parameters of a biochemical reaction, the reverse-transcription, which lead us to uncover non-linear responses, parameter interactions and novel mechanistic insights. With the increased availability of computer-driven laboratory platforms for biotechnology, our results demonstrate the feasibility and advantage of methods development based on reproducible, computer-aided exhaustive characterization of biochemical systems. Oxford University Press 2020-04-17 2020-02-06 /pmc/articles/PMC7144897/ /pubmed/32025730 http://dx.doi.org/10.1093/nar/gkaa079 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Poulain, Stéphane Arnaud, Ophélie Kato, Sachi Chen, Iris Ishida, Hiro Carninci, Piero Plessy, Charles Machine-driven parameter screen of biochemical reactions |
title | Machine-driven parameter screen of biochemical reactions |
title_full | Machine-driven parameter screen of biochemical reactions |
title_fullStr | Machine-driven parameter screen of biochemical reactions |
title_full_unstemmed | Machine-driven parameter screen of biochemical reactions |
title_short | Machine-driven parameter screen of biochemical reactions |
title_sort | machine-driven parameter screen of biochemical reactions |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144897/ https://www.ncbi.nlm.nih.gov/pubmed/32025730 http://dx.doi.org/10.1093/nar/gkaa079 |
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