metabolomics seminarslides 013111final 110201
TRANSCRIPT
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ChemSpider: Connecting Chemistry and Mass
Spectrometry on the Internet
Antony Williams and John Shockcor
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A Vision for Our Time
Analysis of body fluids can lead to earlier diagnosis
Analysing the “Metabolome” improves the opportunities for personalized medicine
Coupled analytical instrumentation with chemical and bio informatics…
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It’s about structures…
Drugs, metabolites, pesticides – it’s all about chemical structures
RSC hosts a community resource for chemistry to support chemists
Chemical compounds, properties, syntheses, analytical data, publications..
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Public Domain Chemistry Databases
Online databases can be messy and inconsistent
Non-curated databases proliferate errors
Original sources of errors hard to determine
Data validation is time-consuming, challenging and exacting
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The structure of Vitamin K1 is ???
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Vitamin K1
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ChemSpider A free internet database
25 million chemicals from 400 data sources
Data includes: Chemical identifiers Links to publications Links to patents Experimental and predicted properties Spectral data
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For Synthetic Chemists
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For NMR Spectroscopists
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Community Contribution Community-based deposition of data
Structures, spectra, links, properties
Community crowdsourced curation Validating and curation data
>130 people have contributed data, skills and experience Synthesis procedures Spectral data
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A flexible platform for...
Searching – many tens of thousands of searches per day
Teaching - providing data and resources to help teach chemistry
Integration - available for third parties to take value from the data
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For Mass Spectrometrists Valuable searches for Mass Spec would be:
Search the database by mass or formula for structure identification
Search subsets of data – “metabolism”
Link structure-based data across the internet
Provide “programming interfaces”
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What is Metabonomics?
Metabonomics “…measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification…” Nicholson et al., 1999
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Full Metabolic Pathway Chart
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Kreb’s Cycle
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What is Metabonomics or Metabolomics?
Analytical data on two groups of samples which we suspect may be different, can we determine the following information?
Are the groups different?
Detect those compounds which have increased or decreased in concentration in each group.
Detect those compounds which are missing from or unique to each group.
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Direct Infusion of Urine into a Mass Spectrometer
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UPLC Lipid Class Separation
PC, SM, PG, PE, DG
ChoE & TG
lyso-PC, lyso-PE
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Hybrid High Resolution QTof MS
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High Resolution MS of a TAG
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Extracted Ion Chromatogram of m/z 874.7898
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MarkerLynx PCA Analysis of Data Transgenic Mice Study
PCA Loadings PCA Scores
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m/z_RT Pairs Which Describe the Variance Between Transgenic and Wild Type Mice
-0.20
-0.15
-0.10
-0.05
-0.00
0.05
0.10
0.15
0.20
0.25
-0.25 -0.20 -0.15 -0.10 -0.05 -0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35
p[2
]
p[1]
Loadings Comp[1] vs. Comp[2]
806.5713
874.7898
EZinfo 3 - Heart TG mouse 4_106.usp (M1: PCA-X) - 2010-10-03 13:41:05 (UTC-5)
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Trend Plot of Those m/z_RT PairsY-axis is the Area of the XIC
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Calculation of Elemental Composition & ChemSpider Search of Lipid Maps Database Performed via MarkerLynx
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Results of the ChemSpider Search in the MarkerLynx Worksheet
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Hit Details in ChemSpider
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Hybrid High Resolution QTof MS
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Lipid at RT 4.41 with m/z 806.5695 PC 16:0/22:6
16:0
22:6
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Phospholipids Elevated in Transgenic Mice
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What Have We Done? Turned “Data into Information”
Now to turn information into knowledge
We want to visualize our metabolite information and information from other “omics” techniques using modern “pathway” tools. (Systems Biology)
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Why Do I Like ChemSpider?
It is open to all the scientific community not just a select few.
It relies on expertise from the scientific community for expansion, curation and improved functionality. Let us work together!
It is always with me…
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Linking and Enabling
Clearly mass spectrometry facilitates deeper understanding of metabolomics
The ChemSpider database is a rich foundation for structure-based analysis
Community support through data deposition and curation is very enabling
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Ideas for Future Work
Extend search capabilities
Expand existing databases
Integrate to metabolic pathways tools
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Thank You!!!