{"database":"MetaboLights","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Tabular":["ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/m_MTBLS13465_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv","ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/m_MTBLS13465_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv"],"Txt":["ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/a_MTBLS13465_LC-MS_negative_reverse-phase_metabolite_profiling.txt","ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/i_Investigation.txt","ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/a_MTBLS13465_LC-MS_positive_reverse-phase_metabolite_profiling.txt","ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465/s_MTBLS13465.txt"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"ftp_download_link":["ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13465"],"metabolite_identification_protocol":["<p>Raw data were collected and processed on Thermo Xcalibur Qual 4.0.27.19 (Thermo Fisher Scientific) software. The MS peaks were extracted at a mass tolerance of 5 ppm. For compound quantification, the corresponding peak area for each sample was used. Absolute concentrations were determined using calibration curves prepared from the corresponding standards (0.1 - 10 μg/ml). </p>"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - negative - reverse-phase","Liquid Chromatography MS - positive - reverse-phase"],"chromatography_protocol":["<p>Samples were separated on a Gemini C18 3 μm NX LC column 100*2.1 mm (Phenomenex) at 200 ul/min flow rate. Separation was done by a linear gradient of 90% acetonitrile in water, 10 mM ammonium formate, 0.1% formic acid (Buffer B) in 99.9% H2O, 10 mM ammonium formate, 0.1% formic acid (Buffer A): 1% B at 0 min, 50% B at 3 min, 99% B at 8 min, followed by 3 min wash at 99% B and 2 min equilibration at 1% B before the next run. UV data was collected at 220 nm.</p>"],"publication":["Non-invasive imaging of defense responses in plants."],"submitter_name":["Olga Belozerova"],"submitter_affiliation":["Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences"],"organism_part":["blank","Standard","leaf"],"technology_type":["mass spectrometry"],"disease":[""],"extraction_protocol":["<p>Fresh leaves were homogenised in liquid nitrogen and lyophilised. Extracts were obtained from 25 mg of dry plant biomass using 1 mL of 70% methanol, filtered through 0.45 μm GF/PVDF (Phenex) filter and lyophilised in miVac machine. Dry residues were reconstituted in 100 µL of 70% methanol by vortexing, and transferred for LC-MS analysis.</p>"],"organism":["Nicotiana benthamiana","blank","Standard"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS13465"],"author":["Olga Belozerova. o.belozyorova@gmail.com.","Karen Sarkisyan. Imperial College London. karen@light.bio."],"data_transformation_protocol":["<p>Raw data were collected and processed on Thermo Xcalibur Qual 4.0.27.19 (Thermo Fisher Scientific) software. The MS peaks were extracted at a mass tolerance of 5 ppm. For compound quantification, the corresponding peak area for each sample was used. Absolute concentrations were determined using calibration curves prepared from the corresponding standards (0.1 - 10 μg/ml). Data shown are means of three biological replicates.</p>"],"study_factor":["Treatment"],"submitter_email":["o.belozyorova@gmail.com"],"sample_collection_protocol":["<p>Fresh leaves were homogenised in liquid nitrogen and lyophilised. Extracts were obtained from 25 mg of dry plant biomass using 1 mL of 70% methanol, filtered through 0.45 μm GF/PVDF (Phenex) filter and lyophilised in miVac machine. Dry residues were reconstituted in 100 µL of 70% methanol by vortexing, and transferred for LC-MS analysis.</p>"],"omics_type":["Metabolomics"],"study_design":["plant hormone","Plants","targeted metabolites"],"curator_keywords":["plant hormone","Plants","targeted metabolites"],"mass_spectrometry_protocol":["<p>LC-MS analysis was carried out on an Ultimate 3000 RSLCnano HPLC system connected to a QExactive Plus mass spectrometer (Thermo Fisher Scientific). Samples were separated on a Gemini C18 3 μm NX LC column 100*2.1 mm (Phenomenex) at 200 ul/min flow rate. Separation was done by a linear gradient of 90% acetonitrile in water, 10 mM ammonium formate, 0.1% formic acid (Buffer B) in 99.9% H2O, 10 mM ammonium formate, 0.1% formic acid (Buffer A): 1% B at 0 min, 50% B at 3 min, 99% B at 8 min, followed by 3 min wash at 99% B and 2 min equilibration at 1% B before the next run. UV data was collected at 220 nm. MS1 spectra were collected in Negative ion mode at 30K Orbitrap resolution with 100-1000 a.e.m mass range. MS2 spectra were collected at 15K resolution. Fragmentation was done by HCD with stepped CE of 25, 30 and 35%. </p>"],"metabolite_name":["211.1334","324.2174"],"additional_accession":[]},"is_claimable":false,"name":"Phytohormone profiling in Nicotiana benthamiana leaves upon mechanical damage and whitefly infestation","description":"<p>Jasmonic and salicylic acids are the major hormones involved in plant response to pests and pathogens. Non-invasive imaging of these hormones at the tissue and whole-organism levels has remained challenging. Here, we engineer autoluminescent plants that report activity of salicylic and jasmonic acids with up to 53-fold contrast. Using consumer-grade cameras, we image reporter Arabidopsis thaliana and Nicotiana benthamiana plants throughout normal development, and in response to attacks of pests and pathogens.</p>","dates":{"publication":"2025-12-05","submission":"2025-12-05"},"accession":"MTBLS13465","cross_references":{"MetaboLights":["MTBLC36332","MTBLC16914","MTBLC139300","MTBLC81897"],"ChEBI":["CHEBI:36332","CHEBI:16914","CHEBI:139300","CHEBI:81897"]}}