A multi-omics dataset of human transcriptome and proteome stable reference

Abstract

The development of high-throughput omics technology has greatly promoted the development of biomedicine. However, the poor reproducibility of omics techniques limits their application. It is necessary to use standard reference materials of complex RNAs or proteins to test and calibrate the accuracy and reproducibility of omics workflows. The transcriptome and proteome of most cell lines shift during culturing, which limits their applicability as standard samples. In this study, we demonstrated that the human hepatocellular cell line MHCC97H has a very stable transcriptome (r = 0.983~0.997) and proteome (r = 0.966~0.988 for data-dependent acquisition, r = 0.970~0.994 for data-independent acquisition) after 9 subculturing generations, which allows this steady standard sample to be consistently produced on an industrial scale in long term. Moreover, this stability was maintained across labs and platforms. In sum, our study provides omics standard reference material and reference datasets for transcriptomic and proteomics research. This helps to further standardize the workflow and data quality of omics techniques and thus promotes the application of omics technology in precision medicine.

Integration of Transcriptomics and Lipidomics Profiling to Reveal the Therapeutic Mechanism Underlying Ramulus mori (Sangzhi) Alkaloids for the Treatment of Liver Lipid Metabolic Disturbance in High-Fat-Diet/Streptozotocin-Induced Diabetic Mice

“…Nowadays, multi-omics technologies focusing on quantitative and high-throughput screening are considered powerful tools for exploring the pathological disease process and identifying the molecular features behind phenotypes. Compared with single-omics analysis methods, multi-omics analysis can more systematically and comprehensively tap into the interactions and coordination mechanisms at different molecular levels of diseases through the intersection and complementarity between different omics [ 14 , 15 ]. The development of high-throughput sequencing, high-resolution mass spectrometry and data integration technology has promoted breakthroughs in systems biology research, as well as provided new insights and methods for target discovery and drug development of natural products characterized by multiple components and multiple targets.…”