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The information isn't lost in gene expression

The present question is the possibility of information loss in gene expression? Information loss in the gene expression disrupts the cellular dynamics and can lead to serious defects, including cancer. Using Gottesman and Preskill method for calculating information loss in black holes,a mechanism fo...

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Autores principales: Fioranelli, Massimo, Roccia, Maria Grazia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063240/
https://www.ncbi.nlm.nih.gov/pubmed/32181372
http://dx.doi.org/10.1016/j.bbrep.2020.100749
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author Fioranelli, Massimo
Roccia, Maria Grazia
author_facet Fioranelli, Massimo
Roccia, Maria Grazia
author_sort Fioranelli, Massimo
collection PubMed
description The present question is the possibility of information loss in gene expression? Information loss in the gene expression disrupts the cellular dynamics and can lead to serious defects, including cancer. Using Gottesman and Preskill method for calculating information loss in black holes,a mechanism for calculating the amount of information transformation in gene expression is proposed. In this proposal, there are three different Hilbert spaces that belong to degrees of freedom of DNA, RNA, and protein. The genetic sequence of the DNA is transcribed into protein at two stages. At first stage it is shown that the internal stationary state of the cell can be represented by a maximally entangled two-mode squeezed state of DNA and mRNA.At second stage, the state of the cell is described by a maximally entangled two-mode squeezed state of mRNA and protein. The amount of information transformation can be obtain by projecting the state at first stage on the state at second stage. Evidently for all finite values of the transcription factor concentration y, binding energy E and free energy F of the transcription factor, the information isn't lost in gene expression.
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spelling pubmed-70632402020-03-16 The information isn't lost in gene expression Fioranelli, Massimo Roccia, Maria Grazia Biochem Biophys Rep Research Article The present question is the possibility of information loss in gene expression? Information loss in the gene expression disrupts the cellular dynamics and can lead to serious defects, including cancer. Using Gottesman and Preskill method for calculating information loss in black holes,a mechanism for calculating the amount of information transformation in gene expression is proposed. In this proposal, there are three different Hilbert spaces that belong to degrees of freedom of DNA, RNA, and protein. The genetic sequence of the DNA is transcribed into protein at two stages. At first stage it is shown that the internal stationary state of the cell can be represented by a maximally entangled two-mode squeezed state of DNA and mRNA.At second stage, the state of the cell is described by a maximally entangled two-mode squeezed state of mRNA and protein. The amount of information transformation can be obtain by projecting the state at first stage on the state at second stage. Evidently for all finite values of the transcription factor concentration y, binding energy E and free energy F of the transcription factor, the information isn't lost in gene expression. Elsevier 2020-03-05 /pmc/articles/PMC7063240/ /pubmed/32181372 http://dx.doi.org/10.1016/j.bbrep.2020.100749 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Fioranelli, Massimo
Roccia, Maria Grazia
The information isn't lost in gene expression
title The information isn't lost in gene expression
title_full The information isn't lost in gene expression
title_fullStr The information isn't lost in gene expression
title_full_unstemmed The information isn't lost in gene expression
title_short The information isn't lost in gene expression
title_sort information isn't lost in gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063240/
https://www.ncbi.nlm.nih.gov/pubmed/32181372
http://dx.doi.org/10.1016/j.bbrep.2020.100749
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