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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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”. |
format | Online Article Text |
id | pubmed-6837886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
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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