TY - JOUR
T1 - Unveiling dynamic metabolic signatures in human induced pluripotent and neural stem cells
AU - Vasconcelos e Sá, João
AU - Simão, Daniel
AU - Terrasso, Ana P.
AU - Silva, Marta M.
AU - Brito, Catarina
AU - Isidro, Inês A.
AU - Alves, Paula M.
AU - Carrondo, Manuel J.T.
PY - 2020/4
Y1 - 2020/4
N2 - Metabolism plays an essential role in cell fate decisions. However, the methods used for metabolic characterization and for finding potential metabolic regulators are still based on characterizing cellular metabolic steady-state which is dependent on the extracellular environment. In this work, we hypothesized that the response dynamics of intracellular metabolic pools to extracellular stimuli is controlled in a cell type-specific manner. We applied principles of process dynamics and control to human induced pluripotent stem cells (hiPSC) and human neural stem cells (hNSC) subjected to a sudden extracellular glutamine step. The fold-changes of steady-states and the transient profiles of metabolic pools revealed that dynamic responses were reproducible and cell type-specific. Importantly, many amino acids had conserved dynamics and readjusted their steady state concentration in response to the increased glutamine influx. Overall, we propose a novel methodology for systematic metabolic characterization and identification of potential metabolic regulators.
AB - Metabolism plays an essential role in cell fate decisions. However, the methods used for metabolic characterization and for finding potential metabolic regulators are still based on characterizing cellular metabolic steady-state which is dependent on the extracellular environment. In this work, we hypothesized that the response dynamics of intracellular metabolic pools to extracellular stimuli is controlled in a cell type-specific manner. We applied principles of process dynamics and control to human induced pluripotent stem cells (hiPSC) and human neural stem cells (hNSC) subjected to a sudden extracellular glutamine step. The fold-changes of steady-states and the transient profiles of metabolic pools revealed that dynamic responses were reproducible and cell type-specific. Importantly, many amino acids had conserved dynamics and readjusted their steady state concentration in response to the increased glutamine influx. Overall, we propose a novel methodology for systematic metabolic characterization and identification of potential metabolic regulators.
UR - http://www.scopus.com/inward/record.url?scp=85084167771&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1007780
DO - 10.1371/journal.pcbi.1007780
M3 - Article
C2 - 32298259
AN - SCOPUS:85084167771
SN - 1553-734X
VL - 16
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 4
M1 - e1007780
ER -