Pyruvate-1-13C pulse-chase analysis by NMR

MG Maria J. Gonzalez-Rellan
MF Marcos F. Fondevila
UF Uxia Fernandez
AR Amaia Rodríguez
MV Marta Varela-Rey
CV Christelle Veyrat-Durebex
SS Samuel Seoane
GB Ganeko Bernardo
FL Fernando Lopitz-Otsoa
DF David Fernández-Ramos
JB Jon Bilbao
CI Cristina Iglesias
EN Eva Novoa
CA Cristina Ameneiro
AS Ana Senra
DB Daniel Beiroa
JC Juan Cuñarro
MC Maria DP Chantada-Vazquez
MG Maria Garcia-Vence
SB Susana B. Bravo
NL Natalia Da Silva Lima
BP Begoña Porteiro
CC Carmen Carneiro
AV Anxo Vidal
ST Sulay Tovar
TM Timo D. Müller
JF Johan Ferno
DG Diana Guallar
MF Miguel Fidalgo
GS Guadalupe Sabio
SH Stephan Herzig
WY Won Ho Yang
JC Jin Won Cho
MM Maria Luz Martinez-Chantar
RP Roman Perez-Fernandez
ML Miguel López
CD Carlos Dieguez
JM Jose M. Mato
OM Oscar Millet
RC Roberto Coppari
AW Ashwin Woodhoo
GF Gema Fruhbeck
RN Ruben Nogueiras
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Three different conditions were tested in hepatocytes: control cells, p53-WT over-expressing cell line, and p53-S149A mutant over-expressing hepatocytes. For each condition, 20–30 million cells were grown. To study the role of p53 gluconeogenic metabolic flux in vitro, cell medium from untreated cells were changed to KHH, in the presence of pyruvate-1-13C (110 mg/L of media) (Merck, 490709). Cells were incubated for 24 h, washed in PBS twice, and harvested in the same buffer. Cell metabolic extraction was performed as explained69. The hydrophilic metabolites were resuspended in 300 µl of D2O with 0.11 mM of Sodium trimethylsilylpropanesulfonate (DSS, internal reference). All NMR experiments were recorded at 298 K on a Bruker 600 MHz (12 T) Avance III spectrometer equipped with a BBO probehead. For each sample, three different experiments were collected: (I) 1D 1H p3919gp with water signals suppression using a binomial 3-9-19 pulse with echo gradient pair, (II) 1D 13C zgpg30 with power-gated decoupling, and (III) phase-sensitive gradient-enhanced 2D 1H-13C HSQC (hsqcetgp). Chemical shift assignment was performed using standard compounds. Peak integration and quantification were done using TopSpin 4.0.7 (Bruker Biospin GmbH) and in-house MatLab scripts.

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