<HashMap><database>MetaboLights</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/m_MTBLS15818_LC-MS_negative_reverse-phase-1_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/m_MTBLS15818_LC-MS_positive_reverse-phase-1_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/i_Investigation.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/s_MTBLS15818.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/a_MTBLS15818_LC-MS_positive_reverse-phase-1.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/a_MTBLS15818_LC-MS_negative_reverse-phase-1.txt</Txt><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_6.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_QC01.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/QC01.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_6.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/QC03.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_6.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_QC03.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_H_V_6.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_AngII_H_V_3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/NEG/neg_QC02.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/AngII_5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/DERIVED_FILES/POS/QC02.mzXML</Mzxml><Other>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/RAW_FILES/POS.zip</Other><Other>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818/FILES/RAW_FILES/NEG.zip</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15818</ftp_download_link><metabolite_identification_protocol>&lt;p>After these transformations, PCA&lt;/p>&lt;p>(principle component analysis, PCA), an unsupervised analysis that reduces&lt;/p>&lt;p>the dimension of the data, was carried out to visualize the distribution and&lt;/p>&lt;p>the grouping of the samples. 95% confidence interval in the PCA score plot&lt;/p>&lt;p>was used as the threshold to identify potential outliers in the dataset.&lt;/p>&lt;p>In order to visualize group separation and find significantly changed&lt;/p>&lt;p>metabolites, supervised orthogonal projections to latent structuresdiscriminate&lt;/p>&lt;p>analysis (OPLS-DA) was applied. Then, a 7-fold cross validation&lt;/p>&lt;p>was performed to calculate the value of R2 and Q2. R2 indicates how well the&lt;/p>&lt;p>variation of a variable is explained and Q2 means how well a variable could&lt;/p>&lt;p>be predicted. To check the robustness and predictive ability of the OPLS-DA&lt;/p>&lt;p>model, a 200 times permutations was further conducted. Afterward, the R2&lt;/p>&lt;p>and Q2 intercept values were obtained. Here, the intercept value of Q2&lt;/p>&lt;p>represents the robustness of the model, the risk of overfitting and the&lt;/p>&lt;p>reliability of the model, which will be the smaller the better.&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>The animal tissue samples (25 mg±1 mg) were taken, mixed with beads and 500 μL of extraction solution (MeOH:ACN:H2O, 2:2:1 (v/v)). The&lt;/p>&lt;p>extraction solution contain deuterated internal standards. The mixed solution were vortexed for 30 s.The soil samples (100 mg±1 mg) were taken, mixed with beads and 500 μL of extraction solution (MeOH:ACN:H2O, 2:2:1 (v/v)). The extraction&lt;/p>&lt;p>solution contain deuterated internal standards. The mixed solution were vortexed for 30 s. The plant samples (20 mg±1 mg) were taken and lyophilized, mixed with beads and 1000 μL of extraction solution (MeOH:ACN:H2O, 2:2:1 (v/v)). The extraction solution contain deuterated internal standards. The mixed solution were vortexed for 30 s. Then the mixed samples were homogenized (35 Hz,4 min) and sonicated&lt;/p>&lt;p>for 5 min in 4 ℃ water bath, the step repeat for three times. The samples were incubated for 1 h at -40 ℃ to precipitate proteins.&lt;/p>&lt;p>Then the samples ware centrifuged at 12000 rpm (RCF=13800(×g),R= 8.6cm) for 15 min at 4 ℃. The supernatant was transferred to a fresh glass vial for analysis. The quality control (QC) sample was prepared by mixing an equal aliquot of the supernatant of samples.&lt;/p></chromatography_protocol><publication>Non-targeted metabolomics sequencing of cardiac tissue with or without high-valine diet.</publication><submitter_affiliation>University-town Hospital of Chongqing Medical University</submitter_affiliation><submitter_name>Hongyu Kuang</submitter_name><organism_part>Left ventricular tissues</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>100 μL of sample was taken, mixed with 400 μL of extraction solution(MeOH:ACN, 1:1 (v/v)), the extraction solution contain deuterated internal&lt;/p>&lt;p>standards, the mixed solution were vortexed for 30 s, sonicated for 10 min in 4 ℃ water bath, and incubated for 1 h at -40 ℃ to precipitate proteins. Then&lt;/p>&lt;p>the samples were centrifuged at 12000 rpm (RCF=13800(×g),R= 8.6cm) for 15 min at 4 ℃. The supernatant was transferred to a fresh glass vial for&lt;/p>&lt;p>analysis. The quality control (QC) sample was prepared by mixing an equal aliquot of the supernatant of samples.&lt;/p></extraction_protocol><organism>heart</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS15818</full_dataset_link><author>Hongyu Kuang. University-town Hospital of Chongqing Medical University. kuanghy12123@163.com.</author><data_transformation_protocol>&lt;p>The raw data were converted to the mzXML format using ProteoWizard and processed with an in-house program. which was developed using R and&lt;/p>&lt;p>based on XCMS, for feature detection, extraction, alignment, and integration. Metabolite annotation from knowns to unknowns through knowledgeguided multi-layer metabolic networking&lt;/p></data_transformation_protocol><study_factor>Valine</study_factor><submitter_email>kuanghy12123@163.com</submitter_email><sample_collection_protocol>&lt;p>The samples were obtained from hypertensive animals with or without high-valine diet&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Thermo Scientific Vanquish UHPLC System</study_design><study_design>Metabolomics</study_design><study_design>untargeted analysis</study_design><study_design>Orbitrap Exploris 120</study_design><study_design>cardiac hypertrophy</study_design><study_design>Left ventricular tissues</study_design><study_design>ultra liquid chromatography-mass spectrometry</study_design><study_design>heart</study_design><study_design>Orbitrap Exploris</study_design><curator_keywords>Thermo Scientific Vanquish UHPLC System</curator_keywords><curator_keywords>Metabolomics</curator_keywords><curator_keywords>untargeted analysis</curator_keywords><curator_keywords>Orbitrap Exploris 120</curator_keywords><curator_keywords>cardiac hypertrophy</curator_keywords><curator_keywords>Left ventricular tissues</curator_keywords><curator_keywords>ultra liquid chromatography-mass spectrometry</curator_keywords><curator_keywords>heart</curator_keywords><curator_keywords>Orbitrap Exploris</curator_keywords><mass_spectrometry_protocol>&lt;p>For polar metabolites, LC-MS/MS analyses were performed using an UHPLC system (Vanquish, Thermo Fisher Scientific) with a Waters ACQUITY&lt;/p>&lt;p>UPLC BEH Amide (2.1 mm × 50 mm, 1.7 μm) coupled to Orbitrap Exploris 120 mass spectrometer (Orbitrap MS, Thermo). The mobile phase consisted of 25 mmol/L ammonium acetate and 25 ammonia hydroxide in water and acetonitrile. The auto-sampler temperature was 4 ℃, and&lt;/p>&lt;p>the injection volume was 2 μL. The Orbitrap Exploris 120 mass spectrometer was used for its ability to acquire MS/MS spectra on information-dependent acquisition (IDA) mode in the control of the acquisition software (Xcalibur,Thermo). In this mode, the acquisition software continuously evaluates the full scan MS spectrum. The ESI source conditions were set as following: sheath gas flow rate as 50 Arb, Aux gas flow rate as 15 Arb, capillary temperature 320 ℃, full MS resolution as 60000, MS/MS resolution as 15000, collision energy: SNCE 20/30/40, spray voltage as 3.8 kV (positive) or -3.4 kV (negative), respectively.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Non-targeted metabolomics sequencing of cardiac tissue with or without high-valine diet</name><description>Non-targeted metabolomics revealed that a high-valine diet affected amino acid synthesis, biometabolism, and glycolipid metabolism in cardiac tissue from hypertensive animal model.</description><dates><publication>2026-09-26</publication><submission>2026-09-26</submission></dates><accession>MTBLS15818</accession><cross_references/></HashMap>