<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/MTBLS10304/m_MTBLS10304_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/m_MTBLS10304_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/a_MTBLS10304_LC-MS_negative_reverse-phase_metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/s_MTBLS10304.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/a_MTBLS10304_LC-MS_positive_reverse-phase_metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/i_Investigation.txt</Txt><Wiff>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/FILES/RAW_FILES/SERUM-NEG.wiff.scan</Wiff><Wiff>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/FILES/RAW_FILES/SERUM-POS.wiff.scan</Wiff><Wiff>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/FILES/RAW_FILES/SERUM-POS.wiff</Wiff><Wiff>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS10304/FILES/RAW_FILES/SERUM-NEG.wiff</Wiff></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/MTBLS10304</ftp_download_link><metabolite_identification_protocol>&lt;p>Extract peak areas using the software provided by instrument producers (MultiQuant from AB Sciex, TraceFinder from Thermo Fisher and LabSolutions from Shimadzu) or free software (Skyline). Remove metabolites that are detectable in &amp;lt;80% of the samples in each sample group and metabolites with CV values &amp;gt;30% in QC samples after peak area standardization by internal standards. The pre-processed pseudotargeted metabolomics peak table can be used to do statistical analysisincluding multivariate (principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA)) and univariate analysis (P value and false discovery rate (FDR)).&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>Inject 5 μL of the reconstituted sample onto a UHPLC-HRMS with IDA mode. In total 6 independent analyses with different CE voltages (15, 30 and 45 V in positive ion mode and -15, -30 and -45 V in negative ion mode are recommended) are performed. Clean the UHPLC-HRMS following the manufacturer’s instructions. Archive the data.&lt;/p></chromatography_protocol><publication>Metabolomic signatures associated with pathological angiogenesis in moyamoya disease. 10.1002/ctm2.1492. PMID:38037492</publication><submitter_name>Yanru Wang</submitter_name><submitter_affiliation>Beijing Tiantan Hospital, Capitall medical university</submitter_affiliation><organism_part>blood serum</organism_part><technology_type>mass spectrometry</technology_type><disease></disease><extraction_protocol>&lt;p>1. Store samples to be analyzed at -80 °C or in liquid nitrogen. When you are ready to analyze the plasma/serum samples, thaw on ice at 4 °C for 30-60 min.&lt;/p>&lt;p>2. Take 10-25 μL from each sample and separately mix them to produce QCs of different groups. The volume of each QC should be ≤200 μL.&lt;/p>&lt;p>3. Add 800 μL of the IS extraction solution (4 °C) into 200 μL of plasma/serum sample for protein precipitation66.&lt;/p>&lt;p>4. Thoroughly mix on a vortex mixer for 60 s.&lt;/p>&lt;p>5. Centrifuge for 10 min at 15,000 x g and 4 °C.&lt;/p>&lt;p>6. Transfer 900 μL of the supernatant to a centrifuge tube.&lt;/p>&lt;p>7. Lyophilize the supernatant in a centrifugal vacuum evaporator at 4 °C.&lt;/p>&lt;p>8. Reconstitute the sample in 60 μL of 90% (v/v) H2O/CH3OH, vortex for 60 s and centrifuge for 10 min at 15,000 x g and 4 °C.&lt;/p>&lt;p>9. Transfer the supernatant to a threaded screw-neck vial containing an insert for a large open vial. Place the vial in an autosampler operating at 6-8 °C.&lt;/p></extraction_protocol><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS10304</full_dataset_link><author>Yanru Wang. Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. No.119 South Fourth Ring West Road, Fengtai District, Beijing,100070 P.R.China. denniswang123@hotmail.com. 8.61881E+12.</author><data_transformation_protocol>&lt;p>Convert the raw UHPLC-HRMS data to XCMS-supported data type and mgf files using MSConvert. Open R statistical scripting language (version 3.6.1), invoke XCMS and then perform codes in the console to do peak detection. Invoke CAMERA and annotate features that come from XCMS. First, create an xsAnnotate object and then group features according to retention time. Finally, annotate isotopes and adducts. Remove redundant features. Output the result to a comma-separated values (csv) file. Use ‘MRM_Ion_Pair_Finder’ to define MRM transitions.&lt;/p></data_transformation_protocol><study_factor>Cohort</study_factor><submitter_email>denniswang123@hotmail.com</submitter_email><sample_collection_protocol>&lt;p>Blood samples were collected from all the participants and centrifuged at 5000 rpm for 10 min at room temperature within 2 h. We collected the whole blood samples and serum samples from each of the participants, followed by storage at -80 °C for analysis. All MMD patients were divided into 2 subgroups based on clinical presentation as follows: ischemic type (IS) and hemorrhagic type (HEM).&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>blood metabolome</study_design><study_design>Moyamoya Disease</study_design><study_design>targeted metabolites</study_design><curator_keywords>blood metabolome</curator_keywords><curator_keywords>Moyamoya Disease</curator_keywords><curator_keywords>targeted metabolites</curator_keywords><mass_spectrometry_protocol>&lt;p>Inject 5 μL of the reconstituted sample onto a UHPLC-HRMS with IDA mode. In total 6 independent analyses with different CE voltages (15, 30 and 45 V in positive ion mode and -15, -30 and -45 V in negative ion mode are recommended) are performed. Clean the UHPLC-HRMS following the manufacturer’s instructions. Archive the data.&lt;/p></mass_spectrometry_protocol><pubmed_title>Metabolomic signatures associated with pathological angiogenesis in moyamoya disease.</pubmed_title><pubmed_authors>He Shihao S, Wang Yanru Y, Liu Ziqi Z, Zhang Junze J, Hao Xiaokuan X, Wang Xilong X, Zhou Zhenyu Z, Wang Rong R, Zhao Yuanli Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Blood pseudotargeted metabolome of moyamoya disease</name><description>&lt;p>We aimed to identify specific metabolomic changes and biomarkers for the differential clinical diagnosis of different subtypes of moyamoya disease (MMD). We conducted an pseudotargeted metabolomics analysis and pseudotargeted metabolomics analysis revealed decreased LPC expression in patients with MMD. LPC 16:1-2 expression was significantly decreased in patients with ischemic MMD while LPC 22:1 expression was significantly reduced in both ischemic and hemorrhagic MMD.&lt;/p></description><dates><publication>2024-10-31</publication><submission>2024-05-28</submission></dates><accession>MTBLS10304</accession><cross_references><pubmed>38037492</pubmed></cross_references></HashMap>