{"database":"iProX","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Xinyi Fang"],"species":["Homo Sapiens"],"full_dataset_link":["http://www.iprox.org/page/project.html?id=IPX0008449000"],"submitter_email":["749860324@qq.com"],"submitter_affiliation":["Guang'anmen Hospital, China Academy of Chinese Medical Sciences"],"sample_protocol":[""],"repository":["iProX"],"data_protocol":[""],"additional_accession":[]},"is_claimable":false,"name":"Integrated transcriptome, proteome, metabolome and microbiome analyses identify multi-omics signature of glycolipid metabolism disorder: a cross-sectional study","description":"We collected blood/stool samples from 30 patients with type 2 diabetes and dyslipidemia (GL), 30 patients with hyperlipidemia (HL), and 30 healthy controls, conducted transcriptome/proteome/metabolome/microbiome analysis, and correlated it with clinical phenotypes. We further integrated multi-omics features and tested the discriminant efficacy of multi-omics datasets using ROC curves.","dates":{"publication":"Fri Mar 29 00:00:00 GMT 2024"},"accession":"PXD051113","cross_references":{"TAXONOMY":["9606"]}}