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Determining constraints in models of genetic regulatory networks using symbolic analysis

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JOBIM 2006

Determining constraints in models of genetic regulatory networks using symbolic analysis

Daniel Mateus ( [email protected]) , Jean-Pierre Gallois (CEA/LIST Saclay) Pascale Le Gall, Jean-Paul Comet (IBISC, FRE CNRS 2873, Université d'Evry)

A regulatory network:

Immunity control in bacteriophage lambda

Thieffry, Thomas, Kaufman,1995, Bull Math Bio 57(2)

Dynamics of the system depends on unknown logical parameters

A logical parameter is associated with each gene and each set of its regulators:

KcI({cro,cII}) is the value towards which evolves cI when cro and cI are below their threshold.

There are 24 logical parameters,

corresponding to 6 879 707 136 logical models.

Symbolic Transition System

Symbolic execution

Behaviors

LTL formulas

Path selection

New constraints

Input:

Reachability of immune states and lytic states

Input:

init /\ F(immune) init /\ F(lytic)

init : [(cI,cro,cII,N)=(0,0,0,0)]

immune : (2,0,0,0)

lytic : (0,2,0,0) \/ (0,3,0,0)

Output:

KcI({}) = 2 or

(KcI({cII})=2 /\ KcII({N})=1 /\ KN({})=1 (85 logical models)

0000

1000

2000

Lytic state C1/\C2

cI cro

N cII

2+

2-

2-

2- 3-

3-

1- 1-

1+

1+

Threshold and sign of the interaction

0100

0200

Immune state C3/\C4

Input:

Initial constraints

steadiness of Immune state KcI({cI}=2, Kcro({cI})=0 KcII({cI})=2, KN({cI})=0 steadiness of Lytic state

KcI({cro}=0, Kcro({})>1 KcII({})=0, KN({cro})=0

Initial value of (cI,cro,cII,N)

Discovering unknown logical parameters by means of behavioral hypotheses given by experimental results:

expected properties are translated into LTL formulas;

paths corresponding to the specification are selected by model-checking methods.

Bacteria infected by bacteriophage lambda can display two behaviors: lytic response (and the cell is killed) or lysogenic response (the cell survive and carry lambda genome). These two behaviors can be translated into the LTL formulas: init /\ F(immune) and init /\ F(lytic) (from the initial state, where viral proteins are absent, an immune state can Finally (F) be reached, and a lytic state can Finally be reached). The constraints associated with the selected paths give the logical parameters corresponding to the specified behaviors .

C1:

If Kcro({})>0

C2:

If Kcro({})>1

C3:

If KcI({})>0

C4:

If KcI({})>1

Symbolic analysis

A Symbolic Transition System represents the set of logical models:

it is not necessary to know the integer value of the parameters.

Symbolic execution:

constructs a tree of all the possible behaviors;

each path is associated with a constraint on the parameters.

New iteration:

the constraints can be added to the STS

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