Modeling ribosome dynamics to optimize heterologous protein production

US2017372001A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017372001-A1
Application numberUS-201615541941-A
CountryUS
Kind codeA1
Filing dateJan 6, 2016
Priority dateJan 6, 2015
Publication dateDec 28, 2017
Grant date

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Abstract

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The presently disclosed subject matter provides a free-energy based model of translation elongation to predict and optimize heterologous gene expression. The model and software allow for the prediction and optimization of genes for increased or decreased protein yield and for increased or decreased protein aggregation.

First claim

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1 . A method for predicting protein yield for translation of a gene, the method comprising: (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome; and (b) determining a total cycle count across codons throughout the coding region; wherein the total cycle count across codons throughout the coding region is correlated with protein yield. 2 . A method for predicting protein yield for translation of a gene, the method comprising: (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome; (b) plotting a translation bottleneck plot, wherein the plot comprises values comprising a sum of cycles within a sliding window of size N codons; and (c) determining a maximum sum in the translation bottleneck plot; wherein the maximum sum in the translation bottleneck plot is correlated with protein yield. 3 . (canceled) 4 . A method for increasing protein yield for translation of a gene, the method comprising: (a) performing the method for predicting protein yield for translation of a gene of claim 1 ; and (b) modifying codons using synonymous codons that conserve the protein amino acid sequence while changing the force and/or the wait time; wherein the protein yield for translation of the gene is increased. 5 . The method of claim 4 , wherein step 4(b) comprises modifying codons such that ribosome wait time is decreased. 6 . The method of claim 4 , wherein the ribosome displacement magnitude is minimized by selecting for a phase angle of the gene that is substantially equal to a species angle of the gene. 7 . A method for decreasing protein yield for translation of a gene, the method comprising: (a) performing the method for predicting protein yield for translation of a gene of claim 1 ; and (b) modifying codons using synonymous codons that conserve the protein amino acid sequence while changing the force and/or the wait time; wherein the protein yield for translation of the gene is decreased. 8 . The method of claim 7 , wherein step 7(b) comprises modifying codons such that ribosome wait time is increased. 9 . A method for predicting protein aggregation, the method comprising: (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome; and (b) determining a total cycle count across codons throughout the coding region; wherein the total cycle count across codons throughout the coding region is correlated with protein aggregation. 10 . (canceled) 11 . (canceled) 12 . A method for increasing protein aggregation, the method comprising: (a) performing the method for predicting protein aggregation of claim 9 ; and (b) modifying codons using synonymous codons that conserve the protein amino acid sequence while changing the force and/or the wait time; wherein protein aggregation is increased. 13 . The method of claim 12 , wherein step 12(b) comprises modifying codons such that ribosome wait time is decreased. 14 . A method for decreasing protein aggregation, the method comprising: (a) performing the method for predicting protein aggregation of claim 9 ; and (b) modifying codons using synonymous codons that conserve the protein amino acid sequence while changing the force and/or the wait time; wherein protein aggregation is decreased. 15 . The method of claim 14 , wherein step 14(b) comprises modifying codons such that ribosome wait time is increased. 16 . The method of claim 1 , wherein the gene is from a prokaryotic organism and the 3′ terminal rRNA tail of the ribosome is an 16S rRNA tail. 17 . The method of claim 1 , wherein the gene is from a eukaryotic organism and the 3′ terminal rRNA tail of the ribosome is an 18S rRNA tail. 18 . A computer readable medium programmed to perform one or more of the method steps of claim 1 .

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Classifications

  • C12N15/67Primary

    General methods for enhancing the expression · CPC title

  • involving proteins, peptides or amino acids {(involving lipoproteins G01N33/92)} · CPC title

  • ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations · CPC title

  • G06F19/12Primary

    Physics · mapped topic

  • G16B5/20Primary

    Probabilistic models · CPC title

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What does patent US2017372001A1 cover?
The presently disclosed subject matter provides a free-energy based model of translation elongation to predict and optimize heterologous gene expression. The model and software allow for the prediction and optimization of genes for increased or decreased protein yield and for increased or decreased protein aggregation.
Who is the assignee on this patent?
Univ North Carolina State
What technology area does this patent fall under?
Primary CPC classification C12N15/67. Mapped technology areas include Chemistry & Metallurgy.
When was this patent published?
Publication date Thu Dec 28 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).