Journal
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Volume 14, Issue -, Pages 1-7Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csbj.2015.10.005
Keywords
Transcriptomics; Metabolomics; Blood systems biology; Personalized medicine; Data integration
Funding
- US National Institutes of Health (NIEHS) [P30 ES019776]
- US National Institutes of Health (NIAID) [2U19 AI090023-06, HHSN272201200031C]
- US National Institutes of Health (NIA) [1R01 AG038746-02]
- US National Institutes of Health (NHLBI) [1P20 HL113451-01]
- Department of Defense [HT9404-13-1-003]
- California Breast Cancer Research Program [21UB-8002]
- NATIONAL CENTER FOR RESEARCH RESOURCES [P51RR000165] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [P20HL113451] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [U19AI090023] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [P30ES019776] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [R01AG038746] Funding Source: NIH RePORTER
- OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH [S10OD018006] Funding Source: NIH RePORTER
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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. (C) 2015 Li et al. Published by Elsevier B.V.
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