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The world leader in serving science
Melissa Montoya2019 North America Metabolomics Seminar Series
Advances in Library Technologies: Leveraging the Data to Identify More of the Metabolome
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Spectral Libraries | Identify Structures with Confidence
Know More About Your Unknowns
Confirm Targeted
Knowns
Annotate Known
Unknowns
Annotate Novel
Unknown Unknowns
Comprehensive MSn
Fragmentation Data
Access and Search Spectral
Library Information
Untargeted Metabolomics
Characterization
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Spectral Libraries | Identify Structures with Confidence
Known Known
Expected to occur
Reference standard
available
Confirmed analytically
Known Unknown
Suspected or unknown
to investigator
Documented in database
or literature
Unknown Unknown
Compound previously
undocumented
Full elucidation and
confirmation required
Loulou Peisl et al., Anal Chim Acta (2018) 1037:13
Little et al., J Am Soc of Mass Spectr (2011) 22:348
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Spectral Libraries | Identify Structures with Confidence
METLIN
Standards
Open-Source In-House
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Spectral Library
Thermo Scientific™ mzCloud™ Mass Spectral Library
mzcloud.org
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World’s Largest LCMS Spectral
Library
•High Resolution accurate mass MSn
•Constantly Growing
•HCD and CID fragmentation data
•Integrated with Thermo Scientific™
software
mzCloud Mass Spectral Library
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•Integrated with Thermo Scientific
software
mzCloud Mass Spectral Library
- Compound Discoverer Software
• Untargeted analysis with customizable
workflows that streamlines unknown
identification using MS2 data
- Mass Frontier Software
• Small molecule spectral interpretation
and structural elucidation that leverages
fragmentation libraries and is capable of
doing MSn tree searches
- TraceFinder Software
• Offline targeted screening utilizing
quantitative workflows for all molecule
types
- mzVault Spectral Libraries
• Provides access to MS2-level spectral
data offline
Thermo Scientific™
TraceFinder™
Software
Thermo Scientific™
Compound
Discoverer™ software
Thermo Scientific™
Mass Frontier™
Spectral
Interpretation
SoftwareThermo Scientific™
mzVault™ Spectral
Libraries
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mzCloud Mass Spectral Library
• Covers all instrument types
• Flexibility in analysis
• HCD and CID fragmentation data
10-200 NCE
Replicated spectra
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Other Biological Relevance
• Unknowns found can also
be used for other purposes
• Personal Care Product
• Medicinal Use
(Therapeutic/excipient)
• Food Additive
A Spectral Library with Chemical Diversity
0 500 1000 1500 2000 2500 3000
Steroids/Vitamins/Hormones
Perfluorinated Hydrocarbons
Illegal Additives
Counterfeit Drug
Natural Toxins
Personal Care Products/Cosmetics
Excipients/Additives/Colorants
Textile Chemicals/Auxiliary/Dyes
Industrial Chemicals
Extractables/Leachables
Pesticides/Hercides
Sports Doping Drugs
Drugs of Abuse/Illegal Drugs
Therapuetics/Prescription Drugs
Natural Products/Medicines
Endogenous Metabolites
Compound Classes
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Professionally Curated
mzCloud Mass Spectral Library | More Structural Information
Multi-Stage Fragmentation
MS
MS2
MS3
MS4
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Professionally Curated
mzCloud Mass Spectral Library | More Structural Information
Multi-Stage Fragmentation
HCD/CID Dissociation
HCD
CID
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Professionally Curated
mzCloud Mass Spectral Library | More Structural Information
Multi-Stage Fragmentation
HCD/CID Dissociation
Multiple Collision Energies
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Professionally Curated
mzCloud Mass Spectral Library | More Structural Information
Multi-Stage Fragmentation
HCD/CID Dissociation
Multiple Collision Energies
Structural Annotations
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Professionally Curated
mzCloud Mass Spectral Library | More Structural Information
Multi-Stage Fragmentation
HCD/CID Dissociation
Multiple Collision Energies
Structural Annotations
Extensive Metadata
Review
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mzCloud Mass Spectral Library l What’s New?
Reference Library AutoProcessed Library
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• High Throughput Auto Processing
- Speeds Up Growth
- Improves Fragment Identification
Search Algorithms
• High Quality Spectra Still Achieved
- Spectral Averaging
- Multiple Noise Removal Tools
- Automated Quality Control Checks
• Data Will Undergo Professional Curation
- Overtime Data Will Migrate To Reference Library
mzCloud AutoProcessed Spectral Library
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Build Your Own Library
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Build your Own Library
Standards
Make/Acquire Standards
Acquire Data
Build Spectral Library
Use Library
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Build Your Own Library | Mass Frontier 8.0 Software with Curator Module
Use the Same Tool used to Build mzCloud Mass Spectral Library
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In-house Libraries
• Mass Frontier software-
Data Manager Module
(stores in-house libraries
made using the Mass
Frontier Curator Module)
• Share across networks
with the included Server
Manager Software
Accessing your Library
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In-house Libraries
• mzVault Spectral Libraries
stores MS2-level spectra
offline
Accessing your Library
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Leveraging Libraries
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Spectral Library Searching | Search Types
Stage Search Type Description
Library MS2 vs
Query MS2
Identity • MS2 precursor ions must match
Similarity
(Forward and Reverse)
• Looks into ratio of the most intensive matching peaks. Scores
indicates how library compound resembles unknown
• Score indicates how the unknown resembles the library
compound
Library MSn vs
Query MSn
Identity Substructure
• Retrieves compounds that contain a common structural
subset.
• The precursor ions at any MSn stage must match.
Tree Search
• Calculates largest overlap between component spectral tree
against the library.
• MS2 precursor ions must match
Subtree Search
• Calculates large overlap between component spectral tree
against the library.
• The precursor ions at any MSn stage must match.
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Spectral Library Searching | Identity Algorithms
Type Description
Confidence Dot product of both spectra, distribution of peaks, activation
energy difference, and polarity (Bayesian network model) to
estimate likelihood of a correct match.
HighRes Based on weight distance between spectra
LowRes Based on the optimized dot-product function, and an additional
term based on ratios of peak intensities
NIST Developed by National Institute of Standards and Technology
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Spectral Library Searching | Similarity Algorithms
Type Description
Forward Considers only those m/z peaks in the library that are also present
in the query spectrum
Reverse Considers only those m/z peaks in the query that are also present
in the library spectrum
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Tree & Subtree Search | MSn Gives More Structural Information
MS2
Genistin
[M+H]+ 432.1057
Apigetrin
[M+H]+ 432.1057
271.0601
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Tree & Subtree Search | MSn Gives More Structural Information
MS2 MS3
Genistin
[M+H]+ 432.1057
Apigetrin
[M+H]+ 432.1057
271.0601
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MSn | More Structural Information for Identity Substructure Search
m/z 311.1641
MS
C
I
D
m/z 447.2166
m/z 241.07
MS2
C
I
D
MS3
C
I
D
MS4
Resiniferatoxin
C37H40O9
628.2672
m/z 629.2745
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Absolute Identity Match
Benzyl Acrylfentanyl
C21H24N2O
[M+H]+ m/z 321.1960
Query
mzCloud
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Similarity Match
Unknown mass
[M+H]+ m/z 371.2119
Precursor Mass
Δ 50.02 Daltons
Similar to Benzyl Acrylfentanyl
[M+H]+ m/z 321.1960
Query
mzCloud
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mzLogic Data Analysis Algorithm
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No Identity Match
Spectral Library
Search
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mzLogic to Accelerate Unknown Annotations
HRAM m/z Predicted Elemental Composition
C11H16N4O4
Putative Structures from Database Search
Fragmentation Spectra
+Find compounds
with similar
product ions to
generate
substructures
Use Data to
Rank Order
Putative
Structures
mzLogic
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Online Database search using elemental
composition
mzCloud Fragmentation
data compared to query data
mzLogic identifies structurally similar
fragments
Candidates with Maximum Explained
Structure are Ranked
Reduces potential candidates
mzLogic Data Analysis Algorithm
CxHyNz
CxHyNz
CxHyNz
CxHyNz
CxHyNz
Over 1000 Possible Candidates
mzLogic
Chemical
Structure
Database
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mzLogic Data Analysis Algorithm
Unknown Compound
[M+H]+ m/z 323.2116
mzLogic
Data Analysis
Algorithm
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mzLogic Data Analysis Algorithm
mzLogic ranks
structural
candidates using
fragmentation
data from
mzCloud
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Acetylfentanyl
C21H26N2O
[M+H]+ m/z 323.2115
mzLogic Data Analysis Algorithm
mzLogic ranked the
correct unknown structure
at #1
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Unveiling the Unknown
mzCloud Reference and
AutoProcessed Spectral Library
Local in-house
spectral libraries
Data Analysis Spectra
Absolute Structural Identification,
Substructure Identification,
fragment annotation
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Questions?
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