Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials.

ABSTRACT: Characterization and integration of the genome, epigenome, transcriptome, proteome and metabolome of different datasets is difficult owing to a lack of ground truth. Here we develop and characterize suites of publicly available multi-omics reference materials of matched DNA, RNA, protein and metabolites derived from immortalized cell lines from a family quartet of parents and monozygotic twin daughters. These references provide built-in truth defined by relationships among the family members and the information flow from DNA to RNA to protein. We demonstrate how using a ratio-based profiling approach that scales the absolute feature values of a study sample relative to those of a concurrently measured common reference sample produces reproducible and comparable data suitable for integratio

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC11252085 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature