Back

The high-resolution structure of cell membranes revealed by in situ cryo-electron tomography

Zhao, G.; Cheng, S.; Yu, Y.; Zou, T.; Wang, H.; Tao, C.; Bi, G.; Zhou, Z. H.; Wang, H.

2021-12-03 biophysics
10.1101/2021.12.03.471052 bioRxiv
Show abstract

As the structural unit of life, cell is defined by the membrane system. The cell membrane separates the internal and external environment of the cell, and the endomembrane system defines the organelles to perform different functions1-3. However, lack of tools to in situ observe membrane proteins at a molecular resolution has limited our understanding of membrane organization and membrane protein interactions. Here we characterize the high-resolution 3D structure of human red blood cell (hRBC) membranes and the membrane proteins for the first time in situ by cryo-electron tomography (CryoET)4-7. By analyzing tomograms, we have obtained the first fine three-dimensional (3D) structure of hRBC membranes and found the asymmetrical distribution of membrane proteins on both sides of the membranes. We found that the membrane proteins are mainly located on the cytoplasmic side of hRBC membranes, with protein sizes ranging from 6nm to 8nm, in contrast to the ectoplasmic side with basically no proteins. Quantitative analysis of the density of hRBC membrane proteins shows that the membranes with higher protein occupancy have less phospholipid, making the membranes more rigid. Meanwhile, we obtained the channel protein-like structures by preliminary analysis of the membrane protein. Our results represent the first in situ structure characterization of the cell membranes and membrane proteins through cryoET and opens the door for understanding the biological functions of cell membranes in their physiological environments.

Matching journals

The top 8 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.