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Omics technologies for kidney disease research
Author(s) -
Wang Dan,
Yang Jiayi,
Fan Jinjin,
Chen Wei,
NikolicPaterson David J.,
Li Jinhua
Publication year - 2020
Publication title -
the anatomical record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.678
H-Index - 62
eISSN - 1932-8494
pISSN - 1932-8486
DOI - 10.1002/ar.24413
Subject(s) - omics , proteomics , disease , genomics , kidney disease , computational biology , bioinformatics , data science , biology , medicine , computer science , pathology , genome , genetics , gene
Omics‐based technologies in the areas of genomics, transcriptomics, and proteomics are revolutionizing research into many types of human and experimental disease. This review focuses on the potential of omics technologies to identify pathogenic mechanisms and biomarkers of disease in order to improve the diagnosis, prognosis, monitoring, and treatment of kidney disease.