Motivation

Explosion of -omics data

Can we combine transcriptomics data and metabolic network modelization in order to infer "metabolic goals" ? 

Difficulty to get metabolic flux measurements

  1. Transcriptomic to flux
  2. Flux to metabolic goal

SPOT

InvFBA

Can we observe differences between conditions ? 

Workflow

GENE EXPRESSION TO "REACTION EXPRESSION"  (GPR association)

Gene expression

Metabolic network

External database

Sample 1 Sample 2
reaction 1 8 7
reaction 2 4 2
SPOT
Flux 1 Flux 2
reaction 1 0,0017 0,001
reaction 2 0,02 0,01
InvFBA

METABOLIC GOALS

"Reaction expression"

Fluxes

SPOT

Gene-Protein-Reaction association

rxn01964_c0= ((fig|32051.5.peg.751 and fig|32051.5.peg.2372) or fig|32051.5.peg.2168)

Reaction rule

fig|32051.5.peg.751 fig|32051.5.peg.2372  fig|32051.5.peg.2168
Gene expression 7 15 23
 
min(fig|32051.5.peg.751,fig|32051.5.peg.2372) + fig|32051.5.peg.2168 = 30
min(fig32051.5.peg.751,fig32051.5.peg.2372)+fig32051.5.peg.2168=30min(fig|32051.5.peg.751,fig|32051.5.peg.2372) + fig|32051.5.peg.2168 = 30

Gene expression

Reaction value

  1. "Unknown" genes in reactions rules
  2. Reactions with no genes associated
  3. "NA" values in gene expression

246/1095 reactions

in Synechococcus 

SPOT

Compute metabolic flux from transcriptomic data

 

 

Validation on 20 samples (E.coli and S.cerevisiae) where flux measurements (via C-MFA) and transcriptomic data were available

No a priori assumption on  objective function

Simplified Pearson cOrrelation with Transcriptomic data

Decompose reversible reactions

InvFBA

Models

Find an objective function (c) that minimizes the gap

between optimal flux and observed flux

Get sparser objective function

c'x^* -c'x_i = \epsilon_i
cxcxi=ϵic'x^* -c'x_i = \epsilon_i
x^*
xx^*

optimal solution of FBA

i.e., find a vector c that lead to near optimality of

x_i
xix_i

Infer organism goal from observed fluxes

Linear Programming, duality theory 

GUROBI

OVA

Objective Variability Analysis

If OVA ran on all reactions, we observe that there are plenty of reactions coefficients that can take the maximum value

OVA determines the range of each coefficient in the objective function

There exists an infinity of invFBA solutions

InvFBA

Experimentations

1) Simulated e-coli fluxes from FBA with 3 different carbon source limitations

4) Different E-coli strains measured fluxes

Biomass function retrieved

(under reasonable noise)

3) Fluxes inferred with TEAM

2) Noisy simulated e-coli fluxes from FBA

Analyzed with OVA

 

Tradeoff

Focusing on specific reactions (all non exchange reactions set to zero)

Outline

Rewrite SPOT and invFBA methods in Python 

Validate  each implementation by comparing it to its MATLAB version

Associate the two methods together and check results

Validation methods ?

Weird preliminary results

Adapt invFBA in order to fit the SPOT decomposition of reversible reactions

Package methods under conda environment and deploy it

InvFBA

Validation

Biomass reaction successfully retrieved on ec_iJO1366 with MATLAB and with Python => same coefficients in both cases

Test on COBRA samples where we apply FBA (with biomass reversible reactions set as an objective)

Forward biomass reaction retrieved in : salmonella, ecoli

not in ecoli_core

EX_cpd11416_c0 : 0.427558420744
rxn01116_c0 : 0.131712221776
rxn00459_c0 : 0.131712221776
rxn05319_c0 : 0.111448803041
EX_cpd00067_e0 : 0.0658561108879
EX_cpd00007_e0 : 0.0607902562042
rxn00260_c0 : 0.0506585468369
EX_cpd00041_e0 : 0.0202634187348

Test on WH7803 (Synechococcus)  

and simulated flux (via FBA)

-1.0*biomass0_reverse_9c18d + 1.0*biomass0

Objective function

Sample included with InvFBA

... but there exists a solution where the

biomass reaction coefficient equals 1

Results change at

each run

OVA

Objective Variability Analysis

Decomposition

SPOT max value

Ran on all non null coefficients

Test on all conditions

Questions

Fluxes obtained with SPOT ranges between 0 and 1

     -> What about the reaction bounds in invFBA ?

Decomposition of reversible reactions

      -> Adapt invFBA model ?

      -> Take max(for,back) and run with classical invFBA model ?

Filter 10e-6 values (gurobi warning about large range matrix)

Validation ??

Set non exchange reaction to 0 ?

Biomass reaction ?

InvFBA-pointJeremie

By edelage

InvFBA-pointJeremie

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