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Autonomous METLIN-guided in-source fragment detection increases annotation confidence in untargeted metabolomics Xavier Domingo-Almenara, J. Rafael Montenegro-Burke, Carlos Guijas, Erica L-W Majumder, H. Paul Benton, and Gary Siuzdak Anal. Chem., Just Accepted Manuscript • DOI: 10.1021/acs.analchem.8b03126 • Publication Date (Web): 25 Jan 2019 Downloaded from http://pubs.acs.org on January 26, 2019
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Analytical Chemistry
Autonomous METLIN-guided in-source fragment detection increases annotation confidence in untargeted metabolomics Xavier Domingo-Almenara1,§,∗ , J. Rafael Montenegro-Burke1,§ , Carlos Guijas1,§ , Erica L.-W. Majumder1 , H. Paul Benton1 , Gary Siuzdak1,2 ∗ ∗
To whom correspondence should be addressed:
[email protected],
[email protected].
1
§
Scripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.
2
Department of Molecular and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.
These authors contributed equally.
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Fig. 1.
In B, the dissociation pathway of methionine at low collision energy is illus-
trated, which shows how multiple fragments can be observed as in-source fragments. In C, MS features obtained after XCMS Online processing are matched against low energy MS/MS spectra (0 and 10 eV) from METLIN. This fragment comparison enables the annotation of these in-source features as in-source fragments (ISF) or FH, protonated/deprotonaded or other ion adduct species, and it provides with a putative identity of the feature based on low energy fragmentation.
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Analytical Chemistry
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Fig. 2.
Screenshot of MISA’s output. For a given feature selected by the user in
the XCMS Online results table, MISA will output all putative identities. In this example, this feature could be attributed to the protonated species (M+H) of creatine or 3-guanidinopropanoate, since three of their in-source fragments have been observed. The score (match score) and the match (match factor) are two scores computer by MISA used to assess the likelihood of that feature stemming from the metabolite reported by MISA. It could be that this features is in fact an in-source fragment of another molecule, in this case it could be an in-source fragment (ISF) of indolelactic acid. This means that there is another feature in the dataset that has been annotated by MISA as the protonated species of indolelactic acid and this feature has been annotated as its in-source fragment.
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Analytical Chemistry 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Fig. 3. Among all features associated to identified molecules (datasets 1 and B exhibits the number of neutral masses that were annotated by CAMERA
2), panel
(due to the detection of adducts or common losses), and by MISA (due to in-source annotation). Panel
C shows the total number features stemming from the identified
metabolites (including adducts, common losses and specific ISF) that were annotated by CAMERA, MISA and in total (both methods). Panel
D shows the number of pu-
tative identifications retrieved based on accurate mass search and based on in-source fragment matching; of note, for both methods, only metabolites in METLIN with experimental data were considered. Panels E,F show the overlap between the number of protonated/deprotonated species annotated due to the detection of formed adducts and ISF, in positive and negative mode, respectively, for dataset 3. In
G H the amount
of specific fragments and common losses in positive and negative mode is shown, as percentage of all detected ISF.
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NFUBCPMJUFT CBTFE PO *4' 0O UIF PUIFS IBOE PG BOE
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Fig. 4.
Analytical Chemistry
Examples of spectral similarity between MS pseudo-spectra (black) and low energy MS/MS spectra extracted from METLIN (color, negatively rotated), for eight
metabolites. Protonated ion/precursor (*) together with MS/MS collision energy (CE) are noted. Low energy MS/MS spectra at 5 eV were calculated by fragment intensity interpolation between 0 and 10 eV.
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Analytical Chemistry 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
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Table 1. List of correctly annotated %BUBTFU /BNF 3BUJP 4 /P" /PDocosahexaenoic acid 41/94 5 1 Oleic Acid 35/84 4 1 Palmitic acid 22/49 5 Methionine 4/12 2 Myristic acid 13/44 4 Linoleic acid 63/100 5 1 Arachidonic Acid 8/58 4 1 Myristoleic acid 1/53 2-Linoleoyl Glycerol 11/66 3 1 Proline 1/2 1 Leucine 1/2 1 Glutamine 3/7 1 Histidine 1/7 1 Phenylalanine 2/7 1 Ectoine 1/8 1 Methionine 6/14 2 Hippuric acid 1/11 4-Hydroxyisoleucine 3/16 1 Ornithine 3/15 3 2 Arginine 4/10 5 2 Methionine S-oxide 4/19 3 N-Acetyl-L-lysine 2/6 2 1 Isoleucine 1/4 1 Tryptophan 10/12 2 Glutamine 5/8 5 2 Carnitine 2/9 Propionylcarnitine 1/13 Citrulline 9/12 3 2 Leucine 1/3 1 Phenylalanine 5/7 2 Acetylcarnitine 3/6 3 Kojibiose 4/40 Cystine 3/41 2 1 Histidine 4/7 1 Acetyl-DL-Leucine 4/7 2 Glycerophosphocholine 2/6 3 5-L-Glutamyl-L-alanine 3/12 1 trans-Cinnamic acid 4/29 2 Asparagine 3/13 2 LysoPC(16:0) 2/3 1 Theanine 4/17 2 Lysine 3/14 2 Tyrosine 7/14 2 Gamma-glutamylglycine 2/14 1 Creatine 3/9 2
metabolites by MISA for Datasets 1 and 2.a %BUBTFU .' /BNF 3BUJP 4 /P" 87 Diethyltoluamide 1/5 66 Methionine 7/13 43 Sphinganine 1/12 1 85 Guanidylic acid 3/7 3 16 Sphingosine 4/9 2 77 1-AG 6/61 67 Guanine 2/3 1 Trigonelline 1/7 87 Phosphocholine 3/5 2 Betaine 1/2 NADP+ 6/10 79 NAD 9/14 2 100 Tryptophan 7/12 100 Arginine 9/10 5 99 Argininosuccinic acid 1/16 2 81 Citrulline 4/12 100 Tryptophan 8/12 17 N-Acetyl-D-phenylalanine 4/17 39 NAD 7/14 2 35 Glutathione, oxidized 10/16 22 Cystine 1/39 92 Cystathionine 4/13 99 Guanidylic acid 2/7 9 99 Lysine 5/14 3 67 Histidine 4/7 71 Carnosine 11/28 6 28 Phosphocholine 2/5 9 95 Methionine S-oxide 3/18 3 100 Threonine 2/10 100 Taurine 1/4 52 Thiamine 3/5 75 N-Methylglutamic acid 3/6 72 N2-Acetyl-L-ornithine 3/17 100 Glutamic acid 5/5 51 DL-o-Tyrosine 6/9 100 m-Coumaric acid 5/6 30 Sphingosine-1-phosphate 4/36 59 40 64 10 36 96 44 100
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2 2 1 1 2 1 1 1 3 1 3 1 1 1 2 3 2 3
.' 100 21 94 71 100 70 85 71 88
13 6 100 87 43 98 99 87 58 87 84 100 100 57 100 59 98 90 97 99 99 71 26 84 75 78 2
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6
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Fig. 5.
Analytical Chemistry
For a given feature, three putative identities, glutamic acid, acetylserine and 3-methylaspartic acid are reported by MISA based on in-source fragment matching.
As their chemical structures are similar, they share common fragments (a). Despite being glutamic acid the correct identity (C), false positives might be also reported (D, E). The match factor (MF) can be used to asses spectral similarity.
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3 4
5
Table 2. Examples of false positive identifications.b 5SVF .PMFDVMF 'BMTF 1PTJUJWF Creatine (3/9 - 100%) 3-Guanidinopropanoate L-Theanine (4/17 - 10%) N2-Acetyl-L-ornithine Acetylproline (M+NH4 ) Acetylcarnitine (3/6 - 52%) Acetyl-L-carnitine hydrochloride Isoleucine (1/4 - 99%) Leucine Norleucine Alloisoleucine N-Methylglutamic acid (3/6 - 71%) 2-Aminoadipic acid
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4DPSF 3/16 - 42% 3/17 - 8% 3/18 - 7% 3/5 - 39% 1/3 - 100% 1/4 - 100% 1/5 - 99% 5/8 - 53%
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*O UIFTF FYBNQMFT UIF USVF NPMFDVMF UPHFUIFS XJUI UIFJS SBUJP TDPSF GSBDUJPO BOE NBUDI GBDUPS QFSDFOUBHF BSF MJTUFE 'PS FBDI USVF JEFOUJUZ UIF UBCMF JOEJDBUFT UIF GBMTF QPTJUJWFT SFQPSUFE CZ .*4" BMTP XJUI UIFJS SFTQFDUJWF TDPSFT
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FOFSHZ TQFDUSB JO .&5-*/ DVSSFOUMZ DPWFSJOH NPSF UIBO NPMFDVMFT ĉJT TUSBUFHZ BMMPXT JOTPVSDF GSBHNFOUT UP CF BOOPUBUFE JODSFBTJOH JO UVSO NFUBCPMJUF BOOPUBUJPO DPOėEFODF 6MUJNBUFMZ PVS BVUPOPNPVT TUSBUFHZ DPOUSJCVUFT UP TUSFBNMJOJOH GFBUVSF BOOP UBUJPO BOE JEFOUJėDBUJPO JO VOUBSHFUFE NFUBCPMPNJDT ACKNOWLEDGMENTS. ĉJT SFTFBSDI XBT QBSUJBMMZ GVOEFE CZ &DPTZTUFNT BOE /FUXPSLT *OUFHSBUFE XJUI (FOFT BOE .PMFDVMBS "TTFNCMJFT &/*(."
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Analytical Chemistry
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