Metabolite annotation was performed by matching accurate mass and MS/MS fragmentation spectra against public databases including HMDB and METLIN, together with an in-house spectral library maintained by Majorbio Bio-pharm Technology Co., Ltd. A mass error threshold of less than 10 ppm was applied for metabolite annotation.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - negative - reverse-phase","Liquid Chromatography MS - positive - reverse-phase"],"chromatography_protocol":["Liquid chromatography was performed using an ultra-high-performance liquid chromatography (UHPLC) system equipped with an ACQUITY UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm). 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 column temperature was maintained at 40°C and the injection volume was 3 μL.
"],"publication":["Integrative metagenomic, metabolomic and single-cell transcriptomic analyses uncover cellular and microbial mechanisms of rumen development in early-life yaks."],"submitter_affiliation":["Qinghai University"],"submitter_name":["Dongwen Dai"],"organism_part":["rumen"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["Please update this protocol dFor metabolomics analysis, 100 μL of rumen fluid was extracted with 400 μL of pre-chilled methanol/acetonitrile (1:1, v/v) containing isotopically labeled internal standards. After protein precipitation at low temperature, the extracts were centrifuged at 13,000 × g for 15 min at 4°C, and the supernatants were transferred to LC vials for analysis. A pooled quality control (QC) sample was prepared by combining equal aliquots (20 μL) from all extracts and was injected at regular intervals to monitor analytical stabilityescription.
"],"organism":["Bos grunniens"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS14340"],"author":["Dongwen Dai. College of Animal Husbandry and Veterinary Sciences, Qinghai University,. 2025990090@qhu.edu.cn."],"data_transformation_protocol":["Raw LC-MS data were processed for feature detection, retention time alignment, peak integration, and data matrix generation using the Majorbio Cloud platform. The resulting feature table was used for subsequent statistical analyses. Multivariate analysis including PCA and OPLS-DA was performed, and variable importance in projection (VIP) values were calculated for each metabolite feature. Differential metabolites were identified based on VIP > 1 and P < 0.05.
"],"study_factor":["Group"],"submitter_email":["2025990090@qhu.edu.cn"],"sample_collection_protocol":["Rumen fluid samples were collected immediately after slaughter from healthy male yaks at 1, 6, and 12 months of age. Samples were collected under sterile conditions, strained through four layers of sterile cheesecloth to remove coarse particles, aliquoted, snap-frozen in liquid nitrogen, and stored at −80°C until metabolomics analysis.
"],"omics_type":["Metabolomics"],"study_design":["Metabolomics","Thermo Fisher","Thermo Scientific Q Exactive","Bos grunniens","untargeted analysis","experimental blank","Technique","rumen","untargeted metabolite profiling"],"curator_keywords":["Metabolomics","Thermo Fisher","Thermo Scientific Q Exactive","Bos grunniens","untargeted analysis","experimental blank","Technique","rumen","untargeted metabolite profiling"],"mass_spectrometry_protocol":["Mass spectrometry data were acquired using a Thermo Scientific Q Exactive mass spectrometer with electrospray ionization (ESI). Data were acquired over an m/z range of 70–1050 in both positive and negative ion modes. The acquisition settings included sheath gas 60 arb, auxiliary gas 20 arb, heater temperature 350°C, capillary temperature 320°C, spray voltage +3.4 kV in positive mode and −3.0 kV in negative mode, S-lens RF 70, normalized collision energy 20/40/60, and Orbitrap resolution 60,000 for full MS and 15,000 for MS/MS.
"],"additional_accession":[]},"is_claimable":false,"name":"Integrative multi-omics analysis of rumen development in early-life yaks","description":"This study investigates the developmental changes in the rumen of early-life yaks using integrative metagenomics, metabolomics, histology, fermentation profiling, and single-cell transcriptomics. Rumen fluid and epithelial tissue samples collected from yaks at 1, 6, and 12 months of age were analyzed to characterize age-associated shifts in the rumen microbiome, metabolome, and epithelial cell programs. The study aims to reveal how microbial functions, rumen metabolites, and host epithelial maturation are coordinated during postnatal rumen development.","dates":{"publication":"2026-04-21","submission":"2026-04-21"},"accession":"MTBLS14340","cross_references":{}}