» Articles » PMID: 39723231

Reference Materials for Improving Reliability of Multiomics Profiling

Overview
Journal Phenomics
Publisher Springer
Date 2024 Dec 26
PMID 39723231
Authors
Affiliations
Soon will be listed here.
Abstract

High-throughput technologies for multiomics or molecular phenomics profiling have been extensively adopted in biomedical research and clinical applications, offering a more comprehensive understanding of biological processes and diseases. Omics reference materials play a pivotal role in ensuring the accuracy, reliability, and comparability of laboratory measurements and analyses. However, the current application of omics reference materials has revealed several issues, including inappropriate selection and underutilization, leading to inconsistencies across laboratories. This review aims to address these concerns by emphasizing the importance of well-characterized reference materials at each level of omics, encompassing (epi-)genomics, transcriptomics, proteomics, and metabolomics. By summarizing their characteristics, advantages, and limitations along with appropriate performance metrics pertinent to study purposes, we provide an overview of how omics reference materials can enhance data quality and data integration, thus fostering robust scientific investigations with omics technologies.

Citing Articles

Prioritization of Lipid Metabolism Targets for the Diagnosis and Treatment of Cardiovascular Diseases.

Wang Z, Chen S, Zhang F, Akhmedov S, Weng J, Xu S Research (Wash D C). 2025; 8:0618.

PMID: 39975574 PMC: 11836198. DOI: 10.34133/research.0618.


Construction of RNA reference materials for improving the quantification of transcriptomic data.

Yu Y, Hou W, Chen Q, Guo X, Sang L, Xue H Nat Protoc. 2025; .

PMID: 39966680 DOI: 10.1038/s41596-024-01111-x.


Multi-step gene set analysis identified HTR3 family genes involving childhood acute lymphoblastic leukemia susceptibility.

Liu X, Guo H, Kang M, Fu W, Li H, Ji H Arch Toxicol. 2024; 99(1):299-307.

PMID: 39322821 DOI: 10.1007/s00204-024-03881-5.

References
1.
Yarchoan M, Hopkins A, Jaffee E . Tumor Mutational Burden and Response Rate to PD-1 Inhibition. N Engl J Med. 2017; 377(25):2500-2501. PMC: 6549688. DOI: 10.1056/NEJMc1713444. View

2.
Munro S, Lund S, Pine P, Binder H, Clevert D, Conesa A . Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nat Commun. 2014; 5:5125. DOI: 10.1038/ncomms6125. View

3.
Azab S, Ly R, Britz-McKibbin P . Robust Method for High-Throughput Screening of Fatty Acids by Multisegment Injection-Nonaqueous Capillary Electrophoresis-Mass Spectrometry with Stringent Quality Control. Anal Chem. 2018; 91(3):2329-2336. DOI: 10.1021/acs.analchem.8b05054. View

4.
Broadhurst D, Goodacre R, Reinke S, Kuligowski J, Wilson I, Lewis M . Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies. Metabolomics. 2018; 14(6):72. PMC: 5960010. DOI: 10.1007/s11306-018-1367-3. View

5.
Hasin Y, Seldin M, Lusis A . Multi-omics approaches to disease. Genome Biol. 2017; 18(1):83. PMC: 5418815. DOI: 10.1186/s13059-017-1215-1. View