Gene Network Model and Quorum Sensing in Pseudomonas Aeruginosa - PowerPoint PPT Presentation

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Gene Network Model and Quorum Sensing in Pseudomonas Aeruginosa

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Gene Network Model and Quorum Sensing in Pseudomonas Aeruginosa ELE 580B- Cellular and Biochemical Computing Project Presentation Hidekazu OKI & Canturk ISCI – PowerPoint PPT presentation

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Title: Gene Network Model and Quorum Sensing in Pseudomonas Aeruginosa


1
Gene Network Model and Quorum Sensing in
Pseudomonas Aeruginosa
  • ELE 580B- Cellular and Biochemical Computing
  • Project Presentation
  • Hidekazu OKI Canturk ISCI

2
Project Workplan
  • Quorum Sensing mechanisms in P.A.
  • Gene network for P.A.
  • Biochemical Reactions
  • Possible Simulation Techniques
  • Simulation and results

3
Pseudomonas Aeruginosa
  • Lethal, opportunistic, Gram negative human
    pathogen
  • LasB elastase, LasA Elastase, Alkaline Protease ?
    degrade Elastin (lung blood vessels)
  • ExotoxinA ? inhibit protein synthesis
  • Uses cell-cell signaling quorum sensing to
    overcome host defense
  • Communal behaviour

4
Quorum Sensing
  • ltDiscovered Vibrio Fischeri ? lux systemgt
  • Generic Quorum Sensing Mechanism

5
Quorum Sensing
  • Signaling Molecules
  • Gram - ? HSL ring Fatty acid side chain
  • Different side chains ?? Different AIs
  • Gram ? Oligo Peptides

6
Quorum Sensing in PA
  • 2 Hierarchical xxxI-xxxR systems
  • 1) las system
  • 2) rhl system
  • Las System
  • lasI ? LasI ? 3-oxo-C12-HSL (PAI1)
  • lasR ?LasR
  • LasR/3-oxo-C12-HSL ?lasA, lasB, aprA, toxA,
    etc. lasI ?rhlR hierarchy!!

7
Quorum Sensing in PA
  • Rhl System
  • rhlI ? RhlI ? C4-HSL (PAI2)
  • rhlR ?RhlR
  • RhlR/C4-HSL ?rhlAB operon, lasA, lasB, aprA
    other genes rhlI
  • PQS AutoInducer
  • Additional link between las-rhl
  • LasR ? PQS ? lasB rhlI

8
Quorum Sensing in PA
  • Informal Description

9
PA Gene Network
  • Is it important to make a detailed circuit like
    the ? circuit?
  • All the promoters, repressors, activators,
    specified explicitly
  • We care about i/p-o/p and cause-effect relations
  • Our Model
  • I/p ? Gene ? O/p Protein (? Secondary o/p)
  • Details of i/p strength hidden in affinities of
    chemical reactions

10
PA Gene Network
  • All mentioned genes
  • las system inputs
  • additional downstream genes
  • LasR/PAI1 ?excitatory on rhlR
  • PAI1 ? inhibitory on RhlR

PQS

11
PA Gene Network
  • All mentioned genes
  • additional downstream genes

12
PA Biochemical Reactions
  • Reactions that describe the core of the quorum
    sensing mechanism
  • 1) LasR/PAI1 complex
  • R1 Concentration of LasR
  • A1 Concentration of PAI1
  • C1 Concentration of Lasr/PAI1

13
PA Biochemical Reactions
  • 2) RhlR/PAI2 complex
  • R2 Concentration of RhlR
  • A2 Concentration of PAI2
  • C2 Concentration of RhlR/PAI2
  • 3) RhlR/PAI1 complex
  • C3 Concentration of RhlR/PAI1

14
PA Biochemical Reactions
  • 4) LasR
  • bR1 Degradation rate of LasR
  • VR1 Maximum production rate of LasR
  • KR1 Affinity between C1 and lasR promoter!
  • R10 LasR basal production rate

15
PA Biochemical Reactions
  • 5) RhlR
  • bR2 Degradation rate of RhlR
  • VR2 Maximum production rate of RhlR
  • KR2 Affinity between C1 and rhlR promoter
  • R20 RhlR basal production rate

16
PA Biochemical Reactions
  • 6) RsaL
  • S RsaL concentration
  • bS Degradation rate of RsaL
  • VS Maximum production rate of RsaL
  • KS Affinity between C1 and rsaL promoter
  • S0 RsaL basal production rate

17
PA Biochemical Reactions
  • 7) PAI1
  • bA1 Degradation rate of PAI1
  • VA1 Maximum production rate of PAI1
  • KA1 Affinity between C1 and lasI promoter
  • KS1 Affinity between RsaL and lasI promoter
  • A10 PAI1 basal production rate
  • A1ex Extracellular PAI1

18
PA Biochemical Reactions
  • 8) PAI2
  • bA2 Degradation rate of PAI2
  • VA2 Maximum production rate of PAI2
  • KA2 Affinity between C2 and rhlI promoter
  • A20 PAI2 basal production rate
  • A2ex Extracellular PAI2

19
Simulation Methodology
  • Deterministic, Single-Cell model
  • Numerical Integration of Ordinary Differential
    Equations.
  • C Program simulator.
  • Time step 0.01 hours.
  • Total simulated time varied from 100 hours to
    10,000 hours.

20
Simulation Results (1)
  • Low concentration of extra-cellular PAI1 causes
    cell to remain in inactive state.
  • LasR/PAI1 complex concentration is low

21
Simulation Results (2)
  • Increasing extra-cellular concentration of PAI1
    beyond 2.0 causes the system to eventually reach
    active state.

22
Simulation Results (3)
  • Final Steady-State concentrations vary sharply
    depending on the extra-cellular PAI1
    concentration

(KR1 4, KA1 0.4) (KR1 5.0, KA1
0.6 )
23
Index of Terms
  • Gram negative cell wall of Gram-negative
    bacteria is a thinner structure with distinct
    layers. There is an outer layer which is more
    like a cytoplasmic membrane in composition with
    the typical trilaminar structure.
  • Gram Positive are characterised by having as
    part of their cell wall structure eptidoglycan as
    well as polysaccharides and/or teichoic acids.

Back
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24
References
  • David's Paper (lecture 11) --gt about quorum and
    PA
  • http//www.cdc.gov/ncidod/eid/vol4no4/vandelden.ht
    m --gt slides come from this web in the lecture 11
    pres
  • M. Miller and B Bassler, Quorum Sensing in
    Bacteria, Annual Review of
  • Microbiology, 55 165--199, 2001 --gt Rweiss
    reading list paper
  • http//info.bio.cmu.edu/Courses/03441/TermPapers/9
    9TermPapers/Quorum/ --gt WEB page about PA and
    quorum
  • L. Passador and B. Iglewski, "Quorum Sensing and
    Virulence Gene Regulation in Pseudomonas
    Aeruginosa", Virulence mechanisms of bacterial
    pathogens, 1995
  • lecture 7 slides --gt the lambda cct and the
    determinstic vs stochastic simulation models
  • Fagerlind, Magnus. The role of regulators on the
    expression of quorum-sensing signals in
    Pseudomonas aeruginosa A thesis of 20p in
    molecular computational biology for the degree of
    Bachelor of Science at the University of Skovde.
    Oct, 2001
  • Albus, Anne M., etal. Vfr Controls Quorum
    Sensing in Pseudomonas Aeruginosa Journal of
    Bacteriology, June 1997, p 3928-3935
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