Buffer-dependent conformational dynamics of α-synuclein revealed by nanopipette electrospray ionisation ion mobility mass spectrometry
Byrd, E. J.; Norgate, E. L.; Crossley, J. A.; Chau, C. C.; Schiffrin, B.; Kulak, A.; Radford, S.; Actis, P.; Calabrese, A. N.; Sobott, F.
Show abstract
Electrolyte conditions in vivo and in vitro are known to influence protein structure and function. Intrinsically disordered proteins (IDPs) are particularly sensitive to their solution conditions such as ionic strength and molecular crowding, and their dynamic structural ensembles rapidly respond to the cellular environment. While structural mass spectrometry (MS) techniques are uniquely able to capture aspects of this structural diversity, technical limitations have largely precluded the use of native MS approaches to interrogate the conformational rearrangements of IDPs in response to high concentrations of non-volatile salts. Here, we overcome this challenge by employing sub 100-nm nanopipette electrospray emitters for more gentle and salt-tolerant analysis to study the conformational distribution of -Synuclein (S) using native MS and ion mobility-MS in varied solution conditions, including in phosphate buffered saline. We show using native MS that it is possible to capture salt and buffer induced changes in the S conformational ensemble when using traditional biochemical buffers, which reflect structural changes from in silico predictions and in-solution measurements. This work demonstrates the power of nanopipette emitters for the study of IDPs, and establishes native MS as a method that can be routinely used to determine how solution conditions tune the conformational landscape of IDPs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/671163v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@35ff69org.highwire.dtl.DTLVardef@113821aorg.highwire.dtl.DTLVardef@1c27b90org.highwire.dtl.DTLVardef@13e4db1_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 5 journals account for 50% of the predicted probability mass.