developing a data processing pipeline for extending a ... product ion characterization for high...

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Developing a Data Processing Pipeline for Extending a Comprehensive Tandem Mass Spectral Library Xiaoyu Yang , Pedatsur Neta, Yuxue Liang, Connie A. Remoroza , Yamil Simón - Manso , Kelly H. Telu , Yuri Mirokhin , Dmitrii Tchekhovskoi , Alexey Mayorov , Tytus D. Mak , Lewis Geer, Stephen E. Stein NIST Mass Spectrometry Data Center Gaithersburg, MD ASMS 2020 Reboot Informatics: Metabolomics

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Page 1: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Developing a Data Processing Pipeline for Extending a Comprehensive Tandem Mass Spectral Library

Xiaoyu Yang, Pedatsur Neta,

Yuxue Liang, Connie A. Remoroza, Yamil Simón-Manso, Kelly H. Telu, Yuri Mirokhin, Dmitrii Tchekhovskoi, Alexey Mayorov, Tytus D. Mak,

Lewis Geer, Stephen E. Stein

NIST Mass Spectrometry Data CenterGaithersburg, MDASMS 2020 Reboot

Informatics: Metabolomics

Page 2: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

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Tandem Mass Spectral Library

Searching

Reference spectra in the library

Experimental tandem mass spectrum

ExperimentalMatchedReference

Matching

Batch mode searching

MS Search

❖ Mass spectral library searching is a fast and reliable technique to identify compounds from LC/MS/MS data.

❖ Building a comprehensive, high quality and reference tandem mass spectral library is essential for the accurate compound identification.

❖ More compounds, more compound types;❖ Different energies, precursor ions;❖ Various mass spectrometers with different ion sources.

Searching Score=950

Hybridsearching

Page 3: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

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Identify precursors of MS2 spectra

Authentic compounds

Spectra of MS2, MS3, MS4, isotopic precursors, in-source fragments

MS2 spectra with the same precursor ion

Consensus spectra

Tandem mass spectral library

Density-based clustering

Manual inspection (expert evaluation)

X. Yang, P. Neta, S. Stein. Extending A Tandem Mass Spectral Library to Include MS2 Spectra of Fragment Ions Produced In-Source and MSn Spectra.J. Am. Soc. Mass Spectrom. November 2017, 28: 2280–2287.

X. Yang, P. Neta, S. Stein. Quality Control for Building Libraries from Electrospray Ionization Tandem Mass Spectra. Anal. Chem., 2014, 86: 6393-6400.

Quality control

Product Ion Characterization

AccuracyPurity

Chemical Info

FT-IT, IT MSn

Analyzed on Orbitrap Eliteand Fusion Lumos

Ion Trap (IT, IT-FT) Collision Cell (HCD)

Electrospray Ionization (ESI)

Atmospheric Pressure Chemical Ionization (APCI)

Q-TOF

new

new

MS Interpreter

Glycan Annotation

Procedure of Extending the NIST Tandem Mass Spectral Library

Cluster spectra of MS2, MS3, MS4Top-down hierarchical clustering

MS Dancenew

newnew

Data Processing Pipeline

MS Sing

new

Page 4: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Tandem Library

EI Library

Available Chemicals

New Compound Selection Process

N

N N

N

CH3O

O

CH3

CH3

RYYVLZVUVIJVGH-UHFFFAOYSA-N

InChI

Wikipedia

HMDB

KEGG

FoodDB

EPA/FDA Lists

Drug Bank

30+ Collections

...

Combine & Rank

Acquire

4

10K compounds/year

Page 5: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Big Data Analysis50,000 spectra per compound

1,500,000,000 spectra

for 30,000 compounds

Ion source: ESI, APCI

Instruments: HCD, IT, FT-IT; Q-TOF

Modes: Positive, Negative

Spectrum types: MS2, MS3, MS4

Energies: 20 steps, 2%-320%

Precursors:[M+H]+, [M+2H]2+, [M-H]-, [M-2H]2-;

[M+Na]+; Dimers, Trimers; Isotopic Precursors;MSn

In-source Fragments: [M+H-neutral]+;[M-H-neutral]-

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Page 6: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

The Data Processing Pipeline

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Page 7: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

N-[(4S,6S)-6-Methyl-7,7-dioxo-2-sulfamoyl-5,6-dihydro-4H-thieno[2,3-b]thiopyran-4-yl]acetamide

MS Sing

MS Interpreter 3.4

297.0032

198.9878 216.0143

Annotating Product Ions

7

[M+H]+

HCD, NCE=30%

chemdata.nist.gov

Page 8: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Product Ion Characterization for High Resolution MSn Spectra

NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl] (Z)-2-methylbut-2-enoate "Contributor="NIST Mass Spectrometry Data Center" Spec=Consensus Nreps=24/24 Mz_diff=-0.5ppm"50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400

0

50

100 C5H7O=p-C16H16O6 83.0493C10H15O2=p-C11H8O5 167.1066

C11H7O4=p-C10H16O3 203.0338

C16H13O4=p-C5H10O3 269.0807

C21H21O6=p-H2O 369.1332

NISTNO=1911040 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl] (Z)-2-methylbut-2-enoate "Contributor="NIST Mass Spectrometry Data Center" Spec=Consensus Nreps=46/48 Mz_diff=-0.5ppm"50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400

0

50

100

C11H7O4=p-C10H16O3 203.0338C16H15O5=p-C5H8O2 287.0912

C21H21O6=p-H2O 369.1330

NISTNO=1911041 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl] (Z)-2-methylbut-2-enoate "Contributor="NIST Mass Spectrometry Data Center" Spec=Consensus Nreps=23/24 Mz_diff=-0.4ppm"50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400

0

50

100C14H11O3=p-C2H2O 227.0702

NISTNO=1911042 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl] (Z)-2-methylbut-2-enoate "Contributor="NIST Mass Spectrometry Data Center" Spec=Consensus Nreps=22/24 Mz_diff=-0.7ppm"50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400

0

50

100C11H7O4=p-C5H8O 203.0338

C16H13O4=p-H2O 269.0807

NISTNO=1911043 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl] (Z)-2-methylbut-2-enoate "Contributor="NIST Mass Spectrometry Data Center" Spec=Consensus Nreps=3/22 Mz_diff=-0.5ppm"50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400

0

50

100

C9H7O2=p-C2O2 147.0440

C10H7O3=p-CO 175.0388

MS2, [M+H]+, FT

MS3, [M+H-C5H10O3]+, FT

MS3, [M+H-C5H8O2]+, FT

MS4, [M+H-C5H8O2-C5H8O]+, FT

precursor=387.1438(p)H+

p=269.0808

p=287.0914

p=203.0339

+ +

H+

H+

H+

H+

H+

H+

H+

H+

H+

H+

TomazinFormula: C21H22O7

MS2, [M+H]+, HCD, NCE:20%

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NEW

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G2FS2 NeuAc[M+2Na]2+, HCD, NCE=20%

LewisX (LeX) hexaose (LNnDFH)[M-H]-, HCD, NCE=31%

Product Ion Annotation for Glycans NEW

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Q-TOF Spectra with APCI for Extractable and Leachable CompoundsNEW

Acenaphthene

[M+H]+

Collision energy: 30V

Cone voltage: 175V

Naphthalene[M]+.Collision energy: 35V

Cone voltage: 175V

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Using Pipeline for Quality Control of Spectra with Monoisotopic and Isotopic Precursors

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Page 12: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

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HCD, IT-FT, IT, Q-TOF108 spectra, 13 MSn

8 precursor ions:[M+H]+, [M+H-2H2O]+

, [M+H-H2O]+,

[M-H]-, [2M-H]-, [M-H-C2H4O2]-

Vitamin C[M+H]+ HCD, NCE=20%

Different Instruments, Precursors

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Page 13: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

30,999 compounds

1,320,389 spectra

185,608 precursor ions

NIST Tandem Mass Spectral Library 2020 75%(+) 25%(-)

32% MS2 in-source

8% MS3 and MS4

8,000 plant metabolites

6,000 human metabolites

HRAM (27,840*)

Low Resolution (28,559)

APCI High Resolution Q-TOF (246)

Biological Peptides (1,904)

* numbers are the number of compounds

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Page 14: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Release

1,8322,974

7,582 8,1969,378

15,243

0

5,000

10,000

15,000

20,000

2005 2008 2011 2012 2014 2017

Number of Compounds

2x

5K 15K95K 122K

234K

652K

0

200

400

600

800

2005 2008 2011 2012 2014 2017

2x

Number of spectra

Release

800,000

600,000

400,000

200,000

Only in 2019: 7,841 new compounds, 256,532 new spectra

15,243652K

1.3M

20202020

30,999

25,000

30,000

1,000,000

1,200,000

NIST Tandem Mass Spectral Library 2020

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Library Application

• Metabolomics: human plasmahuman urinehuman milkE. ColiCHO cell

• Proteomics• Lipidomics• Forensics• Food• Environmental studies

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Identifying Human Metabolites by Searching the NIST Tandem MS Library

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MS Search 2.4

NEW

2.4

human plasma

library

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Applying Data Processing Pipeline in Building Glycan Library:

• Milk samples of human, bovine and other mammals

• UHPLC with HCD and IT-FT/ion trap with FTMS

• Identified glycans by searching the library with hybrid search

• Used the data processing pipeline to generate and annotate consensus spectra

• 2,605 positive and negative ion spectra of 219 oligosaccharides

African lion

Saanen goat

Asian buffalo

bovine

human

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Page 18: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Free Download

• MS Interpreter 3.4

• NIST MS Search 2.4 (hybrid search included)

• NIST MS PepSearch (batch mode search of MS Search,

hybrid search included)

• NIST Peptide Tandem Mass Spectral Libraries

( > 4M spectra)

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• We developed a data processing pipeline to optimize data analysis for extending the NIST Tandem Mass Spectral Library 2020 with 31K compounds and 1.3M spectra including 6K human metabolites, 8K plant metabolites, 2K drugs, 1K pesticides etc.

• This library was also extended with spectra of ❖ High resolution MSn

❖ High resolution Q-TOF mass spectra with APCI for extractable and leachable compounds

❖ High resolution HCD, ion trap spectra of glycolipids

• The data processing pipeline can be used for building-your-own libraries.

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Summary

Page 20: Developing a Data Processing Pipeline for Extending a ... Product Ion Characterization for High Resolution MSn Spectra NISTNO=1911029 (new_msms_2018_7_to_2019_1_lumos_v10) [3-Hydroxy-3-methyl-1-(7-oxofuro[3,2-g]chromen-9-yl)oxybutan-2-yl]

Pedatsur NetaYuxue LiangConnie A. RemorozaYamil Simón-MansoKelly H. Telu

Lewis GeerSanford MarkeyWilliam E. WallaceStephen E. Stein

Acknowledgements

Yuri MirokhinDmitrii TchekhovskoiOleg ToropovAlexey MayorovTytus D. Mak

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