Blood transcriptomics and metabolomics for personalized medicine | Zendy

Shuzhao Li | Zendy; Andrei Todor | Zendy; Ruiyan Luo | Zendy

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Blood transcriptomics and metabolomics for personalized medicine

Author(s) -

Shuzhao Li,

Andrei Todor,

Ruiyan Luo

Publication year - 2015

Publication title -

computational and structural biotechnology journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.908

H-Index - 45

ISSN - 2001-0370

DOI - 10.1016/j.csbj.2015.10.005

Subject(s) - metabolomics , personalized medicine , transcriptome , computational biology , precision medicine , systems biology , omics , biology , bioinformatics , genetics , gene , gene expression

Molecular analysis of blood samples is pivotal to clinical diagnosis and has been intensively investigated since the rise of systems biology. Recent developments have opened new opportunities to utilize transcriptomics and metabolomics for personalized and precision medicine. Efforts from human immunology have infused into this area exquisite characterizations of subpopulations of blood cells. It is now possible to infer from blood transcriptomics, with fine accuracy, the contribution of immune activation and of cell subpopulations. In parallel, high-resolution mass spectrometry has brought revolutionary analytical capability, detecting > 10,000 metabolites, together with environmental exposure, dietary intake, microbial activity, and pharmaceutical drugs. Thus, the re-examination of blood chemicals by metabolomics is in order. Transcriptomics and metabolomics can be integrated to provide a more comprehensive understanding of the human biological states. We will review these new data and methods and discuss how they can contribute to personalized medicine.

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