TY - JOUR
T1 - Conformational analysis of large and highly disulfide-stabilized proteins by integrating online electrochemical reduction into an optimized H/D exchange mass spectrometry workflow
AU - Trabjerg, Esben
AU - Jakobsen, Rasmus Uffe
AU - Mysling, Simon
AU - Christensen, Søren
AU - Jørgensen, Thomas J D
AU - Rand, Kasper D
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Analysis of disulfide-bonded proteins by hydrogen/deuterium exchange mass spectrometry (HDX-MS) requires effective and rapid reduction of disulfide bonds before enzymatic digestion in order to increase sequence coverage. In a conventional HDX-MS workflow, disulfide bonds are reduced chemically by addition of a reducing agent to the quench solution (e.g., tris(2-carboxyethyl)phosphine (TCEP)). The chemical reduction, however, is severely limited under quenched conditions due to a narrow time window as well as low pH and temperature. Here, we demonstrate the real-world applicability of integrating electrochemical reduction into an online HDX-MS workflow. We have optimized the electrochemical reduction efficiency during HDX-MS analysis of two particularly challenging disulfide stabilized proteins: a therapeutic IgG1-antibody and nerve growth factor-β (NGF). Several different parameters (flow rate and applied square wave potential, as well as the type of labeling and quench buffer) were investigated, and the optimized workflow increased the sequence coverage of NGF from 46% with chemical reduction to 99%, when electrochemical reduction was applied. Additionally, the optimized workflow also enabled a similar high sequence coverage of 96% and 87% for the heavy and light chain of the IgG1-antibody, respectively. The presented results demonstrate the successful electrochemical reduction during HDX-MS analysis of both a small exceptional tightly disulfide-bonded protein (NGF) as well as the largest protein attempted to date (IgG1-antibody). We envision that online electrochemical reduction is poised to decrease the complexity of sample handling and increase the versatility of the HDX-MS technique. (Figure Presented).
AB - Analysis of disulfide-bonded proteins by hydrogen/deuterium exchange mass spectrometry (HDX-MS) requires effective and rapid reduction of disulfide bonds before enzymatic digestion in order to increase sequence coverage. In a conventional HDX-MS workflow, disulfide bonds are reduced chemically by addition of a reducing agent to the quench solution (e.g., tris(2-carboxyethyl)phosphine (TCEP)). The chemical reduction, however, is severely limited under quenched conditions due to a narrow time window as well as low pH and temperature. Here, we demonstrate the real-world applicability of integrating electrochemical reduction into an online HDX-MS workflow. We have optimized the electrochemical reduction efficiency during HDX-MS analysis of two particularly challenging disulfide stabilized proteins: a therapeutic IgG1-antibody and nerve growth factor-β (NGF). Several different parameters (flow rate and applied square wave potential, as well as the type of labeling and quench buffer) were investigated, and the optimized workflow increased the sequence coverage of NGF from 46% with chemical reduction to 99%, when electrochemical reduction was applied. Additionally, the optimized workflow also enabled a similar high sequence coverage of 96% and 87% for the heavy and light chain of the IgG1-antibody, respectively. The presented results demonstrate the successful electrochemical reduction during HDX-MS analysis of both a small exceptional tightly disulfide-bonded protein (NGF) as well as the largest protein attempted to date (IgG1-antibody). We envision that online electrochemical reduction is poised to decrease the complexity of sample handling and increase the versatility of the HDX-MS technique. (Figure Presented).
U2 - 10.1021/acs.analchem.5b01996
DO - 10.1021/acs.analchem.5b01996
M3 - Journal article
C2 - 26249042
SN - 0003-2700
VL - 87
SP - 8880
EP - 8888
JO - Industrial And Engineering Chemistry Analytical Edition
JF - Industrial And Engineering Chemistry Analytical Edition
IS - 17
ER -