Human & Bordetella Pertussis Co-expression Networks · 2019. 2. 12. · Mariam Farman (TBI) Human &...

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Human & Bordetella Pertussis Co-expression Networks Mariam Farman TBI Wien University of Vienna TBI Winterseminar February 11, 2019 Mariam Farman (TBI) Human & Bordetella Pertussis February 11, 2019 1 / 11

Transcript of Human & Bordetella Pertussis Co-expression Networks · 2019. 2. 12. · Mariam Farman (TBI) Human &...

  • Human & Bordetella Pertussis Co-expression Networks

    Mariam Farman

    TBI WienUniversity of Vienna

    TBI Winterseminar

    February 11, 2019

    Mariam Farman (TBI) Human & Bordetella Pertussis February 11, 2019 1 / 11

  • Bordetella Pertussis

    Source: Wikipedia

    Gram negative bacteria

    Highly contagious respiratory disease

    One of the ten most common causesof death from infectious diseases

    Least controlled vaccine preventablerespiratory disease

    Problem

    Little is known about its pathogenesis

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  • Pertussis Invasion into Host

    Source: S Badr et al, 2016

    Mariam Farman (TBI) Human & Bordetella Pertussis February 11, 2019 3 / 11

  • Human Pertussis Interplay

    Pertussis

    Invasion

    Escapes killing

    Survival

    Hideout to spread infection

    Uses host machinery for infection

    Human

    Immune responce

    Killing of bacteria

    Apoptosis

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  • Dual RNAseq

    Source: A Westermann et al, 2017

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  • MSF - Modulated Sub-graph Finder

    Heuristic approach in Java

    Identifies concertedly modulated directed sub-graphs in the global cellsignaling network

    Identifies perturbation points of the modulated sub-graphs as sources

    Allows to read the flow of information from the perturbation sourceto the effectors.

    Provides impact score for sources

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  • How does MSF work

    Input files

    1 Good quality directed network2 Differential gene expression analysis (DGEA) results

    Combines individual gene p-value (from DGEA) to generatesub-graph p-value

    Considers complete DEG list

    Most upstream genes are the sources (perturbation points)

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  • Pertussis Infection Data

    Control-6H 2h-6H 6H-24HIL23A Yes Yes Yes

    IL23A p-value 4.55E-28 0.14 0.21

    IL23A impact Score 2.2% 1.4% 28%

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  • Whats Next?

    Investigate other sources with high impact score

    Correlate the sources identified by MSF with Pertussis secretoryproteins

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  • MSF Availability

    MSF paper (under review)

    https://f1000research.com/articles/7-1346/v1

    MSF tool on github

    https://github.com/MariamFarman/Modulated-SubPath-Finder

    Try it !

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    https://f1000research.com/articles/7-1346/v1https://github.com/MariamFarman/Modulated-SubPath-Finder

  • Acknowledgments

    Special thanks to

    Ivo Hofacker

    Fabian Amman

    Branislav Vecerekand you !

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    First SectionSubsection Example