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1

Protein Analysis by LC-MS with FT-ICR

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Protein samples were analysed by LC-MS using an Ultimate 3000 HPLC system (Dionex Corporation, Sunnyvale, CA), equipped with a monolithic PS-DVB (500 µm×5 mm) analytical column (Dionex Corporation). Mobile phases A and B comprised 2∶97.95 and 80∶19.95 acetonitrile∶water with 0.05% formic acid respectively (v/v/v). Samples were injected onto the analytical column, washed with buffer A for 5 min, followed by a 20 min linear gradient elution (20 µl/min) into buffer B. MS data was acquired on a Bruker 12 Tesla Apex Qe FT-ICR (Bruker Daltonics, Billerica, MA). Desolvated ions were detected between m/z 600 and 2000 for 0.5 s to yield a broadband 512 Kword time-domain data. Fast Fourier Transforms and subsequent analyses were performed using DataAnalysis (Bruker Daltonics) software. All m/z spectra were deconvoluted using MaxEnt software in DataAnalysis (Bruker Daltonics).
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2

Mass Spectrometry Data Analysis

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MS and MS/MS data were processed using Data Analysis (v. 5.2, Bruker Daltonics, CA). The assignment of chemical formulae was conducted using Composer software (version 1.0.6, Sierra Analytics, CA, USA) and confirmed with Data Analysis (version 5.2, Bruker Daltonics). A formula constraint of C1–100H1–200N0–4O0–25S0–2 was applied, and both odd and even electron configurations and mass errors below 1 ppm were allowed. An excel file containing the mass of isolated precursors and fragments, chemical formula, and abundance was created as input files for the computation of fragmentation pathways and structural families.
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3

Cryospray-Ionization Mass Spectrometry Protocol

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Samples were prepared similarly to the UV-vis spectroscopy section. Cryospray-ionization mass spectrometry measurements were performed on a UHR-TOF Bruker Daltonik maXis Plus, an ESI-quadrupole time-of-flight mass spectrometer capable of a resolution of at least 60.000 (fwhm), which was coupled to a Bruker Daltonik Cryospray unit. Detection was in positive ion mode; the source voltage was 2.5 kV. The flow rate was 240 µL/h. The drying gas (N2), to achieve solvent removal, was held at –90 °C, and the spray gas was also held at –90 °C. The temperature of the samples injected was also at –90 °C. The mass spectrometer was calibrated prior to every experiment via direct infusion of an Agilent ESI-TOF low concentration tuning mixture, which provided an m/z range of singly charged peaks up to 2700 Da in both ion modes. Simulated spectra were generated in DataAnalysis from Bruker.
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4

Lipid Profiling by MS-DIAL in Biological Samples

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Raw MS data were processed using Data Analysis (version 4.1; Bruker Daltonics). Internal mass calibration was performed with sodium formate injected in the first 40 s of each chromatographic run. Data were transferred to MZXL format and further processed with MS‐DIAL (Tsugawa et al., 2015) (v. 3.96) for annotation of the lipids, using the Lipidblast library (>35,000 MS/MS spectra) and following the shorthand nomenclature proposed by Liebisch et al. (2013) based upon the LIPID MAPS terminology (http://www.lipidmaps.org). The parameter settings were defined as follows: retention time begins at 0.5 min; retention time ends at 25 min; mass range begins at 60 Da; mass range ends at 2000 Da; MS1 (centroiding) tolerance at 0.005 Da; MS2 (centroiding) tolerance at 0.01 Da; smoothing level at 3 scans; minimum peak height at 500 amplitude; mass slice width at 0.05 Da; accurate mass tolerance (MS1) at 0.02 Da; accurate mass tolerance (MS2) at 0.02 Da; and identification score cutoff at 70%, without using retention information for scoring. Lipid concentrations were expressed in mg/kg wet weight (ww) based on lipid standards (Avanti Polar Lipids).
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5

Metabolite Identification via Mass Spectrometry

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Accurate mass was used for identification in addition to on-plate standards and on-tissue MS/MS for metabolites with high enough signal and mass resolution to be isolated and fragmented. The MS/MS spectra from standards were compared to MS/MS spectra obtained from tissue using DataAnalysis (Bruker Daltonics, Bremen, v.4.2). An optimal fragmentation energy was adjusted for each compound, and a blank sample was collected as a negative control to identify fragments matching between standards and tissue. In addition, the metabolites were identified by their anatomical distribution. Furthermore, because multiple signals can arise from a single metabolite, depending on the metabolite’s ability to be derivatized (number of primary amines and/or phenol groups), all possible signals form each metabolite were evaluated, considering possible overlapping signals and their signal-to-noise values (15 (link)).
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6

LC-ESI-MS Analysis of Peptides

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LC ESI MS analysis was performed as previously described23 (link). In brief, following in-gel tryptic digestion peptides were analysed using LC ESI MS analysis using a maXis UHR TOF mass spectrometer (Bruker Daltonics) using an automated acquisition approach. MS and MS/MS scans (m/z 50–3000) were acquired in positive ion mode. Lock mass calibration was performed using HP 1221.990364. Line spectral data were then processed into peak list by Data analysis (Bruker Daltonics) and the sum peak finder algorithm was used for peak detection using a signal to noise (S/N) ratio of 10, a relative to the base peak intensity of 0.1%, and an absolute intensity threshold of 100. Extracted ion chromatograms were generated for both the non-deamidated and deamidated peptide in Data analysis. MS/MS spectra of the peptides identified were manually verified.
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7

LC-MS/MS Data Processing Workflow

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Raw LC-MS/MS data had lock mass calibration applied and were converted into mzXML format using Bruker DataAnalysis and Bruker Compass Xport software.
The data processing software MZmine2 (version 2.37.1-corr17.7) was used for detection of chromatographic peaks and filtering of detected features (retention time—m/z pairs). Processing parameters to obtain the feature table, generating and exporting the mgf and quantification table to be used in GNPS and SIRIUS4 and for ion identity molecular networking in MZmine2 are reported in Table S2.
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8

Intact Mass Deconvolution and EIC Generation

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Commercial PMI-Byos software (Protein Metrics Inc.; v. 4.5) as well as DataAnalysis (Bruker; v. 5.0) were used for deconvoluting intact mass data. For the PMI intact mass software, a range of charge states from 5+ to 35+ and a mass range from 130 to 160 kDa were applied for deconvolution in relevant retention time windows. In DataAnalysis the deconvolution was performed using the maximum entropy algorithm with a mass range from 130 to 160 kDa, a data point spacing of 1 m/z and an instrument resolving power of 5,000. For generation of extracted ion traces (EIC) DataAnalysis was used in the case of measurements performed on the FTICR instrument, whereas Xcalibur or Freestyle (v. 1.8) was used for the generation of EICs for all data measured on Thermo MS instruments. All extracted EICs were smoothed and imported in Adobe illustrator to generate the presented figures.
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9

Proteomic Analysis of Human Samples

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The spectra acquired by nanoLC-MS/MS were converted into xml files using DataAnalysis (version 4.1; Bruker) and searched against the Swissprot (release 51.0) database using MASCOT (version 2.2.07). The MASCOT search parameters for precursor ion and fragment ion tolerance were 80 ppm and 0.07 Da, respectively. The following search parameters were selected: Taxonomy, Human; missed cleavages, 1; enzyme, trypsin; fixed modifications, carbamidomethyl (C); and variable modifications, oxidation (M) and deamidation (NQ). Peptides were considered as “identified” if their individual MASCOT ion score was higher than 25 (p < 0.01).
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10

LC-MS Analysis of Peptidoglycan Precursors

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Five microliters of each sample were injected into an XCT6330 LC/MSD ultratrap system (Agilent Technologies) equipped with a Nucleosil 100 C18 column (3 μm × 100 mm × 2 mm internal diameter, Dr. Maisch GmbH). The column was used at 40 °C. A linear gradient was performed from 0 to 10% eluent B (0.06% formic acid in acetonitrile) over 25 min with a flow rate of 400 µl/min. The column was re-equilibrated for 10 min with 100% buffer A (0,1% formic acid in water). Ionization alternated between positive and negative ion modes with a capillary voltage of 3.5 kV at 350 °C. Extracted ion chromatograms (EICs) in negative ion mode for UDP-MurNAc-l-Ala-d-iGlu-l-Lys-d-Ala-d-Ala (m/z−1 1148.34 ± 0.1) and UDP-MurNAc-l-Ala-d-iGlu-l-Lys-(d-Asp)-d-Ala-d-Ala (m/z−1 1263.37 ± 0.1) were analyzed with Data Analysis (Bruker), exported and presented with GraphPad Prism 6.0.
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