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etabolite_identification_protocol>&lt;p>Metabolite identification was performed by matching the detected features against public and in-house databases, including the Human Metabolome Database (HMDB; http://www.hmdb.ca/), METLIN (https://metlin.scripps.edu/), and an in-house database.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - negative - reverse-phase</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - reverse-phase</instrument_platform><chromatography_protocol>&lt;p>Chromatographic separation was carried out on an ACQUITY UPLC HSS T3 column (100 mm x 2.1 mm i.d., 1.8 μm; Waters, Milford, MA, USA). Mobile phase A consisted of water/acetonitrile (95:5, v/v) containing 0.1% formic acid, and mobile phase B consisted of acetonitrile/isopropanol/water (47.5:47.5:5, v/v/v) containing 0.1% formic acid. The injection volume was 3 μL, and the column temperature was maintained at 40℃.&lt;/p>&lt;p>&lt;br>&lt;/p></chromatography_protocol><publication>Metabolite detection and analysis of bacterial strains.</publication><submitter_name>Miao Jiang</submitter_name><submitter_affiliation>Antwerp university</submitter_affiliation><organism_part>Pool</organism_part><organism_part>culture supernatant</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>200 μL of each sample was transferred into a 1.5 mL centrifuge tube. Then, 800 μL of extraction solvent consisting of methanol/acetonitrile (1:1, v/v) was added. The extraction solvent contained four internal standards, including L-2-chlorophenylalanine at a concentration of 0.02 mg/mL. The mixture was vortexed for 30 s and then subjected to low-temperature ultrasonic extraction for 30 min at 5℃ and 40 kHz. The supernatant was collected and dried under a gentle stream of nitrogen.&lt;/p>&lt;p>&lt;br>&lt;/p></extraction_protocol><organism>Pseudarthrobacter oxydans</organism><organism>mixed sample</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS14926</full_dataset_link><author>Miao Jiang. Antwerp university. jiangmiao0203@gmail.com.</author><author>Li Xiangnan. Chinese Academy of Sciences. lixiangnan@iga.ac.cn.</author><data_transformation_protocol>&lt;p>&amp;nbsp;The raw data were preprocessed using Progenesis QI software, and a three-dimensional data matrix was exported in CSV format. The matrix contained sample information, metabolite names, and mass spectral response intensities. Internal standard peaks and known false-positive peaks, including noise peaks, column bleed peaks, and derivatization reagent-related peaks, were removed from the data matrix. Subsequently, peak de-redundancy and peak merging were performed to obtain the final processed dataset.&lt;/p>&lt;p>&lt;br>&lt;/p></data_transformation_protocol><study_factor>Treatment</study_factor><submitter_email>jiangmiao0203@gmail.com</submitter_email><sample_collection_protocol>&lt;p>For bacterial culture-supernatant metabolomics, the standardized bacterial suspension was inoculated into TSB medium without PEG 6000 or TSB medium supplemented with 10% (w/v) PEG 6000, representing the control and osmotic-stress treatments, respectively. Six independent biological replicates were prepared for each treatment. After incubation at 27 ℃ for 3 d, culture supernatants were collected for LC-MS/MS metabolomic profiling.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>pooled quality control sample</study_design><study_design>Metabolomics</study_design><study_design>osmotic stress treatment design</study_design><study_design>Thermo Scientific Orbitrap Exploris 240</study_design><study_design>untargeted analysis</study_design><study_design>comparative design</study_design><study_design>Pseudarthrobacter oxydans</study_design><study_design>mixed sample</study_design><study_design>culture supernatant</study_design><study_design>experimental sample</study_design><study_design>untargeted metabolite profiling</study_design><study_design>Thermo Scientific Vanquish UHPLC System</study_design><study_design>Pool</study_design><curator_keywords>pooled quality control sample</curator_keywords><curator_keywords>Metabolomics</curator_keywords><curator_keywords>osmotic stress treatment design</curator_keywords><curator_keywords>Thermo Scientific Orbitrap Exploris 240</curator_keywords><curator_keywords>untargeted analysis</curator_keywords><curator_keywords>comparative design</curator_keywords><curator_keywords>Pseudarthrobacter oxydans</curator_keywords><curator_keywords>mixed sample</curator_keywords><curator_keywords>culture supernatant</curator_keywords><curator_keywords>experimental sample</curator_keywords><curator_keywords>untargeted metabolite profiling</curator_keywords><curator_keywords>Thermo Scientific Vanquish UHPLC System</curator_keywords><curator_keywords>Pool</curator_keywords><mass_spectrometry_protocol>&lt;p>Mass spectrometric detection was performed using electrospray ionization (ESI) in both positive and negative ion modes. The scan range was set to m/z 70-1050. The sheath gas flow rate and auxiliary gas flow rate were set to 60 and 20 arb, respectively. The heater temperature was maintained at 350℃, and the capillary temperature was set to 320℃. &lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Metabolite detection and analysis of bacterial strains</name><description>This study investigated whether P. oxydans-secreted metabolites function as upstream metabolic signals that modulate host responses. We therefore compared the extracellular metabolomic profiles of P. oxydans cultured under control conditions and under 10% PEG 6000-induced osmotic stress.</description><dates><publication>2026-07-03</publication><submission>2026-07-03</submission></dates><accession>MTBLS14926</accession><cross_references/></HashMap>