Back

In Situ Structure Determination of a Membrane Protein in Native Cellular Membranes by Proton-Detected Solid-State NMR

Xie, H.

2025-10-29 biophysics
10.1101/2025.10.28.685061 bioRxiv
Show abstract

Determining the structure of membrane proteins within their native cellular membranes remains a substantial challenge in structural biology. In this study, we present a proton-detected solid-state NMR (ssNMR) approach, combined with an optimized random partial protonation (RAP) labeling strategy, to determine the high-resolution structure of the large-conductance mechanosensitive channel (MscL) directly within native E.coli membranes (backbone RMSD = 1.9 [A]). Our approach effectively suppresses background protein signals and achieves high spectral resolution and sensitivity at moderate MAS frequencies (40-60 kHz) by differentially tuning amide and side-chain protonation levels. Using advanced recoupling schemes, we obtained chemical shift assignments of side-chain protons by 3D hCCH spectra and 1H-1H distance restraints from a series of 3D hNHH spectra. With 10% protonation in side-chains, the 1H signals displayed linewidths of approximately 50Hz, facilitating the extraction of 49 long-range distance restraints between amide and side-chain protons, which are crucial for structural convergence. Ambiguities in the assignment of weak signals corresponding to distance restraints were resolved by integrating 3D hNHH experimental data with CS-Rosetta structural modeling. The resulting structure reveals a well-defined pentameric assembly, with transmembrane helix packing consistent with that observed in detergent environments. This study demonstrates significant sensitivity advantages of 1H-detected over 13C-detected in situ ssNMR methods, highlighting the potential of 1H-detected ssNMR for the structure determination of a broad range of membrane proteins in native membranes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=59 SRC="FIGDIR/small/685061v2_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1c2638dorg.highwire.dtl.DTLVardef@115e4d6org.highwire.dtl.DTLVardef@62c20forg.highwire.dtl.DTLVardef@1b29f67_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.