Blood Transcriptomics and Metabolomics for Personalized Medicine

Abstract

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 N10,000 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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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2015
Accession Number
AD1016788

Entities

People

  • Andrei Todor
  • Ruiyan Luo
  • Shuzhao Li

Organizations

  • Emory University School of Medicine

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Blood
  • Blood Cells
  • Cardiovascular System
  • Cells
  • Computational Biology
  • Computational Science
  • Databases
  • Epidemiology
  • Genetics
  • Information Science
  • Liver Diseases
  • Lymphocytes
  • Neural Networks
  • Personalized Medicine
  • Synthetic Biology
  • Systems Biology

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Immunology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Biotechnology