Identified metabolites were annotated using KEGG Compound database, annotated metabolites were then mapped to KEGG Pathway database. Pathways with significantly regulated metabolites mapped to were then fed into MSEA (metabolite sets enrichment analysis), their significance was determined by hypergeometric test’s p-values.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - negative - reverse-phase","Liquid Chromatography MS - positive - reverse-phase","Liquid Chromatography MS - alternating - reverse-phase"],"chromatography_protocol":["The sample extracts were analyzed using an UPLC-ESI-MS/MS system (UPLC, ExionLCAD) and Tandem mass spectrometry system. The analytical conditions were as follows, UPLC: column, Agilent SB-C18 (1.8 μm, 2.1 mm ×100 mm); The mobile phase was consisted of solvent A, pure water with 0.1% formic acid, and solvent B, acetonitrile with 0.1% formic acid. Sample measurements were performed with a gradient program that employed the starting conditions of 95% A, 5% B. Within 9 min, a linear gradient to 5% A, 95% B was programmed, and a composition of 5% A, 95% B was kept for 1 min. Subsequently, a composition of 95% A, 5.0% B was adjusted within 1.1 min and kept for 2.9 min. The flow velocity was set as 0.35 mL per minute; The column oven was set to 40°C; The injection volume was 2 μL. The effluent was alternatively connected to an ESI-triple quadrupole-linear ion trap (QTRAP)-MS. For phytohormone analysis, the sample extracts were analyzed using an UPLC-ESI-MS/MS system (UPLC, ExionLCAD ; MS, QTRAP6500+). The analytical conditions were as follows, LC: column, Waters ACQUITY UPLC HSS T3 C18 (100 mm × 2.1 mm i.d., 1.8 μm); solvent system, water with 0.04% acetic acid (A), acetonitrile with 0.04% acetic acid (B); gradient program, started at 5% B (0-1 min), increased to 95% B (1-8 min), 95% B (8-9 min), finaly ramped back to 5% B (9.1-12 min); flow rate, 0.35 mL/min; temperature, 40°C; injection volume: 2 μL.
"],"publication":["Multi-omics Analysis Reveals Multiple Metabolic Processes, Phytohormone Signaling, and the Negative Regulatory Role of ZmPP2CA11 in Maize Seedling Water-Deficit Responses."],"submitter_name":["Deng Jie"],"submitter_affiliation":["Heilongjiang Bayi Agricultural University"],"organism_part":["leaf"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["Using vacuum freeze-drying technology, place the biological samples in a lyophilizer (Scientz-100F), then grinding (30 Hz, 1.5 min) the samples to powder form by using a grinder (MM 400, Retsch). Next, weigh 50 mg of sample powder using an electronic balance (MS105DΜ) and add 1200 μL of -20 °C pre-cooled 70% methanolic aqueous internal standard extract (less than 50 mg added at the rate of 1200 μL extractant per 50 mg sample). Vortex once every 30 min for 30 sec, for a total of 6 times. After centrifugation (rotation speed 12000 rpm, 3 min), the supernatant was aspirated, and the sample was filtered through a microporous membrane (0.22 μm pore size) and stored in the injection vial for UPLC-MS/MS analysis.
"],"organism":["Zea mays L."],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS15230"],"author":["Haiyang Zhang.","Kejun Yang.","Yule Wei.","Lin He.","Mingyu Zhang.","Thanda Dhliwayo.","Xinrui Li.","Jiaqi Tian.","Jingyu Xu.","Prasanna M Boddupalli.","Xuecai Zhang.","Yuxin Li.","Anqi Yang.","Deng Jie. Heilongjiang Bayi Agricultural University. dengjiehlau@126.com."],"data_transformation_protocol":["The acquired MS data pretreatments including peak picking, peak grouping, retention time correction, second peak grouping, and annotation of isotopes and adducts was performed using XCMS software. LC-MS raw data files were converted into mzXML format and then processed by the XCMS. CAMERA and metaX toolbox implemented with the R software.
"],"study_factor":["PEG-6000","Time point"],"submitter_email":["dengjiehlau@126.com"],"sample_collection_protocol":["Maize leaf samples were collected on the control and PEG-treated maize seedlings, and sampled on pretreatment, 12 h, 24 h, 48 h, and 96 h under drought stress, and 48 h after rewateringcription
"],"omics_type":["Metabolomics"],"study_design":["ABA signaling","Metabolomics","AB SCIEX QTRAP 6500+","PEG","targeted analysis","SCIEX ExionLC AD","untargeted analysis","Zea mays L.","Multi-omics Analysis","leaf","experimental sample"],"curator_keywords":["ABA signaling","Metabolomics","AB SCIEX QTRAP 6500+","PEG","SCIEX ExionLC AD","targeted analysis","Zea mays L.","untargeted analysis","Multi-omics Analysis","leaf","experimental sample"],"mass_spectrometry_protocol":["The ESI source operation parameters were as follows: source temperature 550°C; ion spray voltage (IS), 5500V (positive ion mode), -4500V (negative ion mode); ion source gas I (GSI), gas II (GSII), curtain gas (CUR) were set at 50, 60, and 25 psi, respectively; the collision-activated dissociation (CAD) was high. QQQ scans were acquired as MRM experiments with collision gas (nitrogen) set to medium. DP (declustering potential) and CE (collision energy) for individual MRM transitions was done with further DP and CE optimization. A specific set of MRM transitions were monitored for each period according to the metabolites eluted within this period.
For phytohormone analysis, Linear ion trap (LIT) and triple quadrupole (QQQ) scans were acquired on a triple quadrupole-linear ion trap mass spectrometer (QTRAP), QTRAP 6500+ LC-MS/MS System, equipped with an ESI Turbo Ion-Spray interface, operating in both positive and negative ion mode and controlled by Analyst1.6.3 software
(Sciex). The ESI source operation parameters were as follows: ion source, ESI+/-; source temperature 550℃; ion spray voltage (IS) 5500V(Positive), -4500 V (Negative); curtain gas (CUR) was set at 35 psi, espectively. Phytohormones were analyzed using scheduled multiple reaction monitoring (MRM).
"],"metabolite_name":["trans-Zeatin-O-glucoside","L-Phenylalanine","Tryptamine","Dihydrozeatin ribonucleoside","2-Methylthio-cis-zeatin","cis-Zeatin","N-[(-)-Jasmonoyl]-(L)-valine","L-tryptophan","ortho-Topolin","3-oxo-2-(2-(Z)-Pentenyl) cyclopentane-1-butyric acid","Abscisic acid","6-Benzyladenine","meta-Topolin-9-glucoside","cis-Zeatin-9-glucoside","Indole-3-carboxaldehyde","Abscisic aldehyde","Dihydrojasmonic acid","Jasmonic acid","cis-Zeatin-O-glucoside riboside","Gibberellin A8","Gibberellin A9","Gibberellin A7","meta-Topolin riboside","trans-Zeatin","Gibberellin A1","Indole-3-acetyl glycine","Methyl jasmonate","Methyl indole-3-acetate","4-[[(9-beta-D-Glucopyranosyl-9H-purin-6-yl)amino]methyl]phenol","Indole-3-acetyl-L-aspartic acid","Indole-3-lactic acid","N6-isopentenyladenine","cis-Zeatin riboside monophosphate","Jasmonoyl-L-isoleucine","1-Aminocyclopropanecarboxylic acid","2-oxindole-3-acetic acid","Gibberellin A24","2-Methylthio-cis-zeatin riboside","Gibberellin A20","Gibberellin A19","meta-Topolin","Gibberellin A15","3-Indoleacetonitrile","cis(+)-12-Oxophytodienoic acid","N6-Isopentenyl-adenine-7-glucoside","Salicylic acid","Indole-3-acetic acid","12-Hydroxyjasmonic acid","Gibberellin A34","Indole-3-acetyl-L-valine methyl ester","ABA-glucosyl ester","Gibberellin A29","Salicylic acid 2-O-尾-glucoside"],"additional_accession":[]},"is_claimable":false,"name":"Multi-omics Analysis Reveals Multiple Metabolic Processes, Phytohormone Signaling, and the Negative Regulatory Role of ZmPP2CA11 in Maize Seedling Water-Deficit Responses","description":"In this study, the physiological phenotyping, RNA sequencing, widely targeted metabolomics, and phytohormone profiling were used to examine the responses of maize seedlings to progressive PEG-induced osmotic stress and their recovery after PEG removal.
","dates":{"publication":"2026-09-26","submission":"2026-08-03"},"accession":"MTBLS15230","cross_references":{"KEGG":["Cmdn003997","Cmdn004285","Cmmn012997","Cmyn001328","Cmmn012461","Cmmn013378","Cmmn005231","Cmdn000784","Cmhp005227","Cmyp007180","Cmsp004086","Cmxp004977","Cmzp002582","Cmxp003975","Cmyp002064"]}}