Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells

PLoS Computational Biology

Volumn 13, Issue 3, 2017, Pages

  Yurkovich, James T ^a,b   Yang, Laurence ^a   Palsson, Bernhard O ^a,b  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMOLECULES; BLOOD; CELLS; COLD STORAGE; FORECASTING; METABOLISM; METABOLITES;

CONCENTRATION PROFILES; DECAY PROCESS; EXTRACELLULAR; HUMAN RED BLOOD CELL; METABOLIC NETWORK; METABOLITE CONCENTRATIONS; METABOLOMIC PROFILING; QUALITATIVE STATE; RED BLOOD CELL; STORAGE CONDITION;

BIOMARKERS;

BIOLOGY; ERROR; ERYTHROCYTE METABOLISM; HUMAN; METABOLITE; PREDICTION; QUANTITATIVE STUDY; WORKFLOW; BIOLOGICAL MODEL; BLOOD; CELL CULTURE; COMPUTER SIMULATION; ERYTHROCYTE; HIGH THROUGHPUT SCREENING; METABOLIC FLUX ANALYSIS; METABOLISM; METABOLOME; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

BIOLOGICAL MARKER; PLASMA PROTEIN;

BIOMARKERS; BLOOD PROTEINS; CELLS, CULTURED; COMPUTER SIMULATION; ERYTHROCYTES; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; METABOLIC FLUX ANALYSIS; METABOLOME; MODELS, CARDIOVASCULAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 85016785085     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005424     Document Type: Article

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