Process for identifying culture conditions for a cell or organism

Patent metadata

Field	Value
Publication number	US-2016378909-A1
Application number	US-201415104393-A
Country	US
Kind code	A1
Filing date	Dec 15, 2014
Priority date	Dec 17, 2013
Publication date	Dec 29, 2016
Grant date	—

Abstract

Methods for identifying culture conditions for a cell, the method comprising: (a) obtaining a genome scale stoichiometric metabolic model of the cell, and (b) performing constraint based optimization on the metabolic model of the cell using at least one yield based constraint.

First claim

1 . A method for identifying culture conditions for a cell, the method comprising:
(a) obtaining a genome scale stoichiometric metabolic model of the cell and (b) performing constraint based optimisation on the metabolic model of the cell using at least one yield based constraint, wherein the yield based constraint promotes a condition that promotes a kinetic parameter and/or suppresses a condition that inhibits a kinetic parameter, and (c) identifying culture conditions that improve the yield and/or the kinetic parameter of said cell in culture.

2 . A method according to claim 1 , wherein the kinetic parameter is a rate, such as growth rate, protein production rate, antigen production rate, or the rate of gene expression.

3 . A method according to claim 1 wherein the condition that promotes a kinetic parameter or that inhibits a kinetic parameter is selected from a compound or set of compounds, oxygen supply, carbon dioxide supply, proton availability, or any combination thereof.

4 . A method according to claim 1 wherein the condition that promotes a kinetic parameter or that inhibits a kinetic parameter is an absolute amount or concentration of a compound or set of compounds, oxygen supply, carbon dioxide supply, or proton availability, or any combination thereof.

5 . A method according to claim 1 wherein the condition promotes the kinetic parameter, without any negative effect on yield.

6 . A method according to claim 1 wherein the condition promotes the kinetic parameter, and the yield.

7 . A method according to claim 1 wherein the kinetic parameter is growth rate of the cell.

8 . A method according to claim 1 wherein the condition is applied to a minimal chemically defined medium.

9 . A method according to claim 1 wherein the kinetic parameter and/or the yield is measured in comparison to a minimal chemically defined medium.

10 . A method according to claim 1 wherein the cell is a single celled organism or a cultured eukaryotic cell.

11 . A method according to claim 10 wherein the cell is B. pertussis.

12 . A method according to claim 11 wherein the cell is selected from the group consisting of B. pertussis, B. bronchiseptica and B. parapertussis.

13 . A method according to claim 11 wherein the yield based constraint promotes a condition as promoting that promotes growth rate without any negative effect on yield and wherein the condition is the presence of a compound selected from CaCl 2 .2H 2 O, glycine, haemin, L -alanine, L -histidine, L -proline, sodium L -lactate, NaHCO 3 , para-aminobenzoic acid, and riboflavin.

14 . A method according to claim 11 wherein the yield based constraint promotes a condition that promotes both growth rate and yield and wherein the condition is the presence of a compound selected from biotin, glycine, L -alanine at 20 mM), L -arginine, L -cysteine, L -methionine, L -proline, MgCl 2 .6H 2 O, NaHCO 3 , and thiamine.

15 . A method according to claim 1 further comprising growing the cell in culture under said identified culture conditions.

16 . A method according to claim 15 further comprising measuring growth parameters, and applying said growth parameters so obtained to further optimise the model.

17 . (canceled)

18 . A method according to claim 15 , further comprising the step of recovering from the culture, cells or a product obtained therefrom.

19 . A method according to claim 18 , further comprising the step of formulating a product obtained from the cells with at least one further antigen.

20 . A system comprising:
a processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform constraint based optimisation on a metabolic model of a cell using at least one yield based constraint, wherein the yield based constraint promotes a condition that promotes a kinetic parameter and/or suppresses a condition that inhibits a kinetic parameter, so as to improve the both yield and/or the kinetic parameter of said cell in culture.

21 . A system according to claim 20 wherein the kinetic parameter is selected from one of growth rate, rate of metabolite production, rate of consumption, rate of gene expression, rate of recombinant protein production or rate of recombinant protein secretion.

Assignees

• Glaxosmithkline Biologicals Sa

Inventors

• Dehottay Philippe Marc Helene
• Goffin Philippe
• Teusink Bas
• Branco Dos Santos Filipe

Classifications

• G06F19/12 Primary

  Physics · mapped topic

• G16B5/00 Primary

  ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks · CPC title