Conceptual Modeling of mRNA Decay Provokes New Hypotheses

Biologists are required to integrate large amounts of data to construct a working model of the system under investigation. This model is often informal and stored mentally or textually, making it prone to contain undetected inconsistencies, inaccuracies, or even contradictions, not much less than a...

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Main Authors: Somekh, Judith, Haimovich, Gal, Guterman, Adi, Dori, Dov, Choder, Mordechai
Other Authors: Massachusetts Institute of Technology. Engineering Systems Division
Format: Article
Language:en_US
Published: Public Library of Science 2014
Online Access:http://hdl.handle.net/1721.1/90997
https://orcid.org/0000-0002-2393-3124
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author Somekh, Judith
Haimovich, Gal
Guterman, Adi
Dori, Dov
Choder, Mordechai
author2 Massachusetts Institute of Technology. Engineering Systems Division
author_facet Massachusetts Institute of Technology. Engineering Systems Division
Somekh, Judith
Haimovich, Gal
Guterman, Adi
Dori, Dov
Choder, Mordechai
author_sort Somekh, Judith
collection MIT
description Biologists are required to integrate large amounts of data to construct a working model of the system under investigation. This model is often informal and stored mentally or textually, making it prone to contain undetected inconsistencies, inaccuracies, or even contradictions, not much less than a representation in free natural language. Using Object-Process Methodology (OPM), a formal yet visual and humanly accessible conceptual modeling language, we have created an executable working model of the mRNA decay process in Saccharomyces cerevisiae, as well as the import of its components to the nucleus following mRNA decay. We show how our model, which incorporates knowledge from 43 articles, can reproduce outcomes that match the experimental findings, evaluate hypotheses, and predict new possible outcomes. Moreover, we were able to analyze the effects of the mRNA decay model perturbations related to gene and interaction deletions, and predict the nuclear import of certain decay factors, which we then verified experimentally. In particular, we verified experimentally the hypothesis that Rpb4p, Lsm1p, and Pan2p remain bound to the RNA 3′-untralslated region during the entire process of the 5′ to 3′ degradation of the RNA open reading frame. The model has also highlighted erroneous hypotheses that indeed were not in line with the experimental outcomes. Beyond the scientific value of these specific findings, this work demonstrates the value of the conceptual model as an in silico vehicle for hypotheses generation and testing, which can reinforce, and often even replace, risky, costlier wet lab experiments.
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spelling mit-1721.1/909972022-09-30T22:16:24Z Conceptual Modeling of mRNA Decay Provokes New Hypotheses Somekh, Judith Haimovich, Gal Guterman, Adi Dori, Dov Choder, Mordechai Massachusetts Institute of Technology. Engineering Systems Division Dori, Dov Biologists are required to integrate large amounts of data to construct a working model of the system under investigation. This model is often informal and stored mentally or textually, making it prone to contain undetected inconsistencies, inaccuracies, or even contradictions, not much less than a representation in free natural language. Using Object-Process Methodology (OPM), a formal yet visual and humanly accessible conceptual modeling language, we have created an executable working model of the mRNA decay process in Saccharomyces cerevisiae, as well as the import of its components to the nucleus following mRNA decay. We show how our model, which incorporates knowledge from 43 articles, can reproduce outcomes that match the experimental findings, evaluate hypotheses, and predict new possible outcomes. Moreover, we were able to analyze the effects of the mRNA decay model perturbations related to gene and interaction deletions, and predict the nuclear import of certain decay factors, which we then verified experimentally. In particular, we verified experimentally the hypothesis that Rpb4p, Lsm1p, and Pan2p remain bound to the RNA 3′-untralslated region during the entire process of the 5′ to 3′ degradation of the RNA open reading frame. The model has also highlighted erroneous hypotheses that indeed were not in line with the experimental outcomes. Beyond the scientific value of these specific findings, this work demonstrates the value of the conceptual model as an in silico vehicle for hypotheses generation and testing, which can reinforce, and often even replace, risky, costlier wet lab experiments. 2014-10-20T17:48:56Z 2014-10-20T17:48:56Z 2014-09 2014-07 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/90997 Somekh, Judith, Gal Haimovich, Adi Guterman, Dov Dori, and Mordechai Choder. “Conceptual Modeling of mRNA Decay Provokes New Hypotheses.” Edited by Yoon Ki Kim. PLoS ONE 9, no. 9 (September 25, 2014): e107085. https://orcid.org/0000-0002-2393-3124 en_US http://dx.doi.org/10.1371/journal.pone.0107085 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science Public Library of Science
spellingShingle Somekh, Judith
Haimovich, Gal
Guterman, Adi
Dori, Dov
Choder, Mordechai
Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title_full Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title_fullStr Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title_full_unstemmed Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title_short Conceptual Modeling of mRNA Decay Provokes New Hypotheses
title_sort conceptual modeling of mrna decay provokes new hypotheses
url http://hdl.handle.net/1721.1/90997
https://orcid.org/0000-0002-2393-3124
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