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Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis

Cellular behavior is controlled by the interplay of diverse biomolecules. Most experimental methods, however, can monitor only a single molecule class or reaction type at a time. We developed an in vitro Nuclear Magnetic Resonance spectroscopy (NMR) approach, which permitted dynamic quantification o...

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Detalles Bibliográficos
Autores principales: Nikolaev, Yaroslav, Ripin, Nina, Soste, Martin, Picotti, Paola, Iber, Dagmar, Allain, Frédéric H.-T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837886/
https://www.ncbi.nlm.nih.gov/pubmed/31363225
http://dx.doi.org/10.1038/s41592-019-0495-7
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author Nikolaev, Yaroslav
Ripin, Nina
Soste, Martin
Picotti, Paola
Iber, Dagmar
Allain, Frédéric H.-T.
author_facet Nikolaev, Yaroslav
Ripin, Nina
Soste, Martin
Picotti, Paola
Iber, Dagmar
Allain, Frédéric H.-T.
author_sort Nikolaev, Yaroslav
collection PubMed
description Cellular behavior is controlled by the interplay of diverse biomolecules. Most experimental methods, however, can monitor only a single molecule class or reaction type at a time. We developed an in vitro Nuclear Magnetic Resonance spectroscopy (NMR) approach, which permitted dynamic quantification of an entire “heterotypic” network – simultaneously monitoring three distinct molecule classes (metabolites, proteins, RNA) and all elementary reaction types (bimolecular interactions, catalysis, unimolecular changes). Focusing on an 8-reaction co-transcriptional RNA folding network, in a single sample we recorded over 35 time-points with over 170 observables each, and accurately determined 5 core reaction constants in multiplex. This reconstruction revealed unexpected cross-talk between the different reactions. We further observed dynamic phase-separation in a system of five distinct RNA binding domains in the course of the RNA transcription reaction. Our Systems NMR approach provides a deeper understanding of biological network dynamics by combining the dynamic resolution of biochemical assays and the multiplexing ability of “omics”.
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spelling pubmed-68378862020-01-29 Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis Nikolaev, Yaroslav Ripin, Nina Soste, Martin Picotti, Paola Iber, Dagmar Allain, Frédéric H.-T. Nat Methods Article Cellular behavior is controlled by the interplay of diverse biomolecules. Most experimental methods, however, can monitor only a single molecule class or reaction type at a time. We developed an in vitro Nuclear Magnetic Resonance spectroscopy (NMR) approach, which permitted dynamic quantification of an entire “heterotypic” network – simultaneously monitoring three distinct molecule classes (metabolites, proteins, RNA) and all elementary reaction types (bimolecular interactions, catalysis, unimolecular changes). Focusing on an 8-reaction co-transcriptional RNA folding network, in a single sample we recorded over 35 time-points with over 170 observables each, and accurately determined 5 core reaction constants in multiplex. This reconstruction revealed unexpected cross-talk between the different reactions. We further observed dynamic phase-separation in a system of five distinct RNA binding domains in the course of the RNA transcription reaction. Our Systems NMR approach provides a deeper understanding of biological network dynamics by combining the dynamic resolution of biochemical assays and the multiplexing ability of “omics”. 2019-07-09 2019-07-29 /pmc/articles/PMC6837886/ /pubmed/31363225 http://dx.doi.org/10.1038/s41592-019-0495-7 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Nikolaev, Yaroslav
Ripin, Nina
Soste, Martin
Picotti, Paola
Iber, Dagmar
Allain, Frédéric H.-T.
Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title_full Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title_fullStr Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title_full_unstemmed Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title_short Systems NMR: single-sample quantification of RNA, proteins, and metabolites for biomolecular network analysis
title_sort systems nmr: single-sample quantification of rna, proteins, and metabolites for biomolecular network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837886/
https://www.ncbi.nlm.nih.gov/pubmed/31363225
http://dx.doi.org/10.1038/s41592-019-0495-7
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