Cargando…

High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA

Metabolic engineering uses enzymes to produce small molecules with industrial, pharmaceutical, and energy applications. However, efforts to optimize enzymatic pathways for commercial production are limited by the throughput of assays for quantifying metabolic intermediates and end products. We devel...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Kane, Patrick T., Dudley, Quentin M., McMillan, Aislinn K., Jewett, Michael C., Mrksich, Milan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551189/
https://www.ncbi.nlm.nih.gov/pubmed/31183410
http://dx.doi.org/10.1126/sciadv.aaw9180
_version_ 1783424355685892096
author O’Kane, Patrick T.
Dudley, Quentin M.
McMillan, Aislinn K.
Jewett, Michael C.
Mrksich, Milan
author_facet O’Kane, Patrick T.
Dudley, Quentin M.
McMillan, Aislinn K.
Jewett, Michael C.
Mrksich, Milan
author_sort O’Kane, Patrick T.
collection PubMed
description Metabolic engineering uses enzymes to produce small molecules with industrial, pharmaceutical, and energy applications. However, efforts to optimize enzymatic pathways for commercial production are limited by the throughput of assays for quantifying metabolic intermediates and end products. We developed a multiplexed method for profiling CoA-dependent pathways that uses a cysteine-terminated peptide to covalently capture CoA-bound metabolites. Captured metabolites are then rapidly separated from the complex mixture by immobilization onto arrays of self-assembled monolayers and directly quantified by SAMDI mass spectrometry. We demonstrate the throughput of the assay by characterizing the cell-free synthesis of HMG-CoA, a key intermediate in the biosynthesis of isoprenoids, collecting over 10,000 individual spectra to map more than 800 unique reaction conditions. We anticipate that our rapid and robust analytical method will accelerate efforts to engineer metabolic pathways.
format Online
Article
Text
id pubmed-6551189
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-65511892019-06-10 High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA O’Kane, Patrick T. Dudley, Quentin M. McMillan, Aislinn K. Jewett, Michael C. Mrksich, Milan Sci Adv Research Articles Metabolic engineering uses enzymes to produce small molecules with industrial, pharmaceutical, and energy applications. However, efforts to optimize enzymatic pathways for commercial production are limited by the throughput of assays for quantifying metabolic intermediates and end products. We developed a multiplexed method for profiling CoA-dependent pathways that uses a cysteine-terminated peptide to covalently capture CoA-bound metabolites. Captured metabolites are then rapidly separated from the complex mixture by immobilization onto arrays of self-assembled monolayers and directly quantified by SAMDI mass spectrometry. We demonstrate the throughput of the assay by characterizing the cell-free synthesis of HMG-CoA, a key intermediate in the biosynthesis of isoprenoids, collecting over 10,000 individual spectra to map more than 800 unique reaction conditions. We anticipate that our rapid and robust analytical method will accelerate efforts to engineer metabolic pathways. American Association for the Advancement of Science 2019-06-05 /pmc/articles/PMC6551189/ /pubmed/31183410 http://dx.doi.org/10.1126/sciadv.aaw9180 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
O’Kane, Patrick T.
Dudley, Quentin M.
McMillan, Aislinn K.
Jewett, Michael C.
Mrksich, Milan
High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title_full High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title_fullStr High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title_full_unstemmed High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title_short High-throughput mapping of CoA metabolites by SAMDI-MS to optimize the cell-free biosynthesis of HMG-CoA
title_sort high-throughput mapping of coa metabolites by samdi-ms to optimize the cell-free biosynthesis of hmg-coa
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551189/
https://www.ncbi.nlm.nih.gov/pubmed/31183410
http://dx.doi.org/10.1126/sciadv.aaw9180
work_keys_str_mv AT okanepatrickt highthroughputmappingofcoametabolitesbysamdimstooptimizethecellfreebiosynthesisofhmgcoa
AT dudleyquentinm highthroughputmappingofcoametabolitesbysamdimstooptimizethecellfreebiosynthesisofhmgcoa
AT mcmillanaislinnk highthroughputmappingofcoametabolitesbysamdimstooptimizethecellfreebiosynthesisofhmgcoa
AT jewettmichaelc highthroughputmappingofcoametabolitesbysamdimstooptimizethecellfreebiosynthesisofhmgcoa
AT mrksichmilan highthroughputmappingofcoametabolitesbysamdimstooptimizethecellfreebiosynthesisofhmgcoa