<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/MTBLS15756/m_MTBLS15756_LC-MS_alternating_hilic_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/i_Investigation.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/s_MTBLS15756.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/a_MTBLS15756_LC-MS_alternating_hilic.txt</Txt><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907640_Sm12.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907632_Sm4.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907631_Sm3.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907630_Sm2.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907639_Sm11.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907634_Sm6.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907630_Sm2.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907635_Sm7.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907633_Sm5.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907629_Sm1.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907639_Sm11.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907638_Sm10.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907638_Sm10.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907637_Sm9.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907636_Sm8.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907635_Sm7.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907637_Sm9.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/POS_MLE1907636_Sm8.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907633_Sm5.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907629_Sm1.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907634_Sm6.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907632_Sm4.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907631_Sm3.mzML</Mzml><Mzml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756/FILES/NEG_MLE1907640_Sm12.mzML</Mzml></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS15756</ftp_download_link><metabolite_identification_protocol>&lt;p> The confidence levels of metabolite annotations were classified referring to the studies and guidelines of Sumner et al., Alseekh et al, and Luo et al., as detailed below. Level 1, match with MS1, experimental RT, and experimental MS2 spectra from in-house chemical standards; level 2, match with MS1, and experimental MS2 spectra from public libraries; level 3a, match with MS1, predicted RT, and predicted MS2 spectra; level 3b, match with MS1 and predicted MS2 spectra; level 4, only&lt;/p>&lt;p>match with MS1.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - alternating - hilic</instrument_platform><chromatography_protocol>&lt;p>The LC-MS/MS analysis of sample was conducted on a UHPLC-Orbitrap Exploris 240 system equipped with an ACQUITY HSS T3 column (100 mm × 2.1 mm i.d., 1.8 μm; Waters, USA) at Majorbio Bio-Pharm Technology Co. Ltd. (Shanghai, China). The mobile phases consisted of 0.1% formic acid in water:acetonitrile (95:5, v/v) (solvent A) and 0.1% formic acid in acetonitrile:isopropanol:water (47.5:47.5:5, v/v/v) (solvent B). The elution gradient conditions are as follows: 0-0.2 min, mobile phase B was maintained at 0%; 0.2-9 min, mobile phase B was increased from 0% to 100%; 9-10 min, mobile phase B was maintained at 100%; 10-10.1 min, mobile phase B was decreased from 100% to 0%; 10.1-12 min , mobile phase B was maintained at 0%. The flow rate was 0.40 mL/min and the column temperature was 40℃. The injection volume was 3 μL.&lt;/p></chromatography_protocol><publication>The effect of transplanted mouse feces on serum metabolites of recipient mice after ionizing radiation irradiation.</publication><submitter_name>Guiqiang Zhou</submitter_name><submitter_affiliation>Fourth Military Medical University: Air Force Medical University</submitter_affiliation><organism_part>serum</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>Centrifuge mouse serum and detect metabolite content with 12000rpm/min, 4℃&lt;/p></extraction_protocol><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS15756</full_dataset_link><author>Guiqiang Zhou. Fourth Military Medical University: Air Force Medical University. zgqiang0308@163.com.</author><data_transformation_protocol>&lt;p>The pretreatment of LC/MS raw data was performed by Progenesis QI (Waters Corporation, Milford, USA) software, and a three-dimensional data matrix in CSV format was exported. The information in this three-dimensional matrix included: sample information, metabolite name and 1 mass spectral response intensity. Internal standard peaks, as well as any known false positive peaks (including noise, column bleed, and derivatized reagent peaks), were removed from the data matrix, deredundant and peak pooled. &lt;/p></data_transformation_protocol><study_factor>Radiation</study_factor><submitter_email>zgqiang0308@163.com</submitter_email><sample_collection_protocol>&lt;p>After treatment with compound antibiotics, mouse feces were transplanted and irradiated with ionizing radiation for 1 week, 2 weeks, 3 weeks, and 4 weeks. Serum samples were collected from recipient mice to detect the levels of metabolites&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Metabolomics</study_design><study_design>untargeted metabolomics</study_design><study_design>Mus musculus</study_design><study_design>untargeted analysis</study_design><study_design>fecal microbiota transplantation</study_design><study_design>untargeted metabolite profiling</study_design><study_design>experimental sample</study_design><study_design>anxiety</study_design><study_design>butyric acid</study_design><study_design>radiation</study_design><study_design>OpenMS</study_design><study_design>Thermo Scientific Surveyor HPLC system</study_design><study_design>serum</study_design><study_design>UHPLC -Exploris240</study_design><curator_keywords>Metabolomics</curator_keywords><curator_keywords>untargeted metabolomics</curator_keywords><curator_keywords>Mus musculus</curator_keywords><curator_keywords>untargeted analysis</curator_keywords><curator_keywords>fecal microbiota transplantation</curator_keywords><curator_keywords>untargeted metabolite profiling</curator_keywords><curator_keywords>experimental sample</curator_keywords><curator_keywords>anxiety</curator_keywords><curator_keywords>butyric acid</curator_keywords><curator_keywords>radiation</curator_keywords><curator_keywords>OpenMS</curator_keywords><curator_keywords>Thermo Scientific Surveyor HPLC system</curator_keywords><curator_keywords>serum</curator_keywords><curator_keywords>UHPLC -Exploris240</curator_keywords><mass_spectrometry_protocol>&lt;p>The UPLC system was coupled to a UHPLC-Orbitrap Exploris 240 system Mass Spectrometer equipped with an electrospray ionization (ESI) source operating in positive mode and negative mode. The optimal conditions were set as followed: source temperature at 350℃ ; sheath gas flow rate at 60 arb; Aux gas flow rate at 20 arb; ion-spray voltage floating (ISVF) at -2800V in negative mode and 3400V in positive mode, respectively; Normalized collision energy , 20-40-60V rolling for MS/MS. Data acquisition was performed with the Data Dependent Acquisition (DDA) mode. The detection was carried out over a mass range of 70-1050 m/z.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>The effect of transplanted mouse feces on serum metabolites of recipient mice after ionizing radiation irradiation</name><description>Collect feces from mice exposed to ionizing radiation at 1 week, 2 weeks, 3 weeks, and 4 weeks respectively. After treatment with compound antibiotics, transplant the feces of mice irradiated with ionizing radiation, collect serum from recipient mice, and detect the content of metabolites.</description><dates><publication>2026-09-28</publication><submission>2026-09-21</submission></dates><accession>MTBLS15756</accession><cross_references/></HashMap>