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Integrating Data in a Integrating Data in a

Integrating Data in a - PowerPoint Presentation

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Integrating Data in a - PPT Presentation

Microbiome Context Michael Shaffer Catherine Lozupone PhD Rocky 2014 Nasal Microbiome as Air Purifier What is a microbiome Acinetobacter venetianus abundance decreases ID: 168047

microbiome data bacteria gene data microbiome gene bacteria asthmatic nose samples 16s nasal biotransformations biotransformers pseudomonas co3 kegg lab venetianus integrating human

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Slide1

Integrating Data in a Microbiome Context

Michael ShafferCatherine Lozupone, Ph.DRocky 2014Slide2

Nasal Microbiome as Air Purifier

What is a microbiome?

Acinetobacter

venetianus abundance decreases in asthmatic co-twinsDoes A. venetianus protect against asthma?Does the nasal microbiome contribute to the biotransformations of foreign materials in the nose?Can we identify biotransformers of polyaromatic hydrocarbons in the human nose?

Asthmatic

Co-twin

Non-Asthmatic

Co-twinSlide3

Integrating Various Data Types

Data sources:16S sequencingMetabolomicsRNA-Seq

Human/Environmental

Factors

What are the contributions of the nasal microbiota to biotransformations of PAH in the nose?

16S

metagenome

metabolome

?Slide4

Visualizing Metabolic Activity of a Microbiome

TAXA

From 16S or

metagenomics

GENE

From

PICRUSt

or

metagenomics

or

transcriptomics

RXN

From KEGG

CO3

From KEGG or metabolomics

GENE

4

GENE

3

GENE1

GENE

2

TAXA2

TAXA3

TAXA1

CO6

CO7

CO5

CO1

CO4

CO3

CO2

RXN3

RXN2

RXN1Slide5

Predicting PAH Biotransformers

Given a list of compounds can we predict what bacteria will be able to degrade them?Does the species encode a gene which directly reacts with the compound of interest?Is the species present across samples and abundant within those samples?Test these predictions on the bench

Bacteria with genes

to process various compounds

Bacteria

Naphthalene

Chrysene

Benzo [a] pyrene

Anthracene

Phenanthrene

Samples Present

Average count

Pseudomonas

0

0

1

0

1

55

295

Micrococcus

0

1

1

1

1

37

47

Alicycliphilus

4

1

4

5

1

23

27

Pseudomonas

0

0

1

0

1

53

12Slide6

Future Directions

Integrate metatranscriptome data with predicted and measured metagenome levelsIntegrate data from bacteria with human and exposure

data

Acknowledgements

Lozupone

Lab:

Catherine

Lozupone

Moshe Rhodes

Jody Donnelly

Reisdorph

Lab:

Nichole

Reisdorph

Kevin Quinn

David Schwartz

Ivana

Yang

Elizabeth Davidson

Corrine Hennessy

Andy Liu

Stan Szefler

Brett Haberstick

Allison Schiltz

Lisa Cicutto

Computational Bioscience Program