Haixiao Gao

SPIDER image processing for single-particle reconstruction of biological macromolecules from electron micrographs

This protocol describes the reconstruction of biological molecules from the electron micrographs of single particles. Computation here is performed using the image-processing software SPIDER and can be managed using a graphical user interface, termed the SPIDER Reconstruction Engine. Two approaches are described to obtain an initial reconstruction: random-conical tilt and common lines. Once an existing model is available, reference-based alignment can be used, a procedure that can be iterated. Also described is supervised classification, a method to look for homogeneous subsets when multiple known conformations of the molecule may coexist.

Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization

Although three-dimensional electron microscopy (3D-EM) permits structural characterization of macromolecular assemblies in distinct functional states, the inability to classify projections from structurally heterogeneous samples has severely limited its application. We present a maximum likelihood–based classification method that does not depend on prior knowledge about the structural variability, and demonstrate its effectiveness for two macromolecular assemblies with different types of conformational variability: the Escherichia coli ribosome and Simian virus 40 (SV40) large T-antigen.

Study of the Structural Dynamics of the E. coli 70S Ribosome Using Real-Space Refinement

Cryo-EM density maps showing the 70S ribosome of E. coli in two different functional states related by a ratchet-like motion were analyzed using real-space refinement. Comparison of the two resulting atomic models shows that the ribosome changes from a compact structure to a looser one, coupled with the rearrangement of many of the proteins. Furthermore, in contrast to the unchanged inter-subunit bridges formed wholly by RNA, the bridges involving proteins undergo large conformational changes following the ratchet-like motion, suggesting an important role of ribosomal proteins in facilitating the dynamics of translation.

The process of mRNA–tRNA translocation

In the elongation cycle of translation, translocation is the process that advances the mRNA–tRNA moiety on the ribosome, to allow the next codon to move into the decoding center. New results obtained by cryoelectron microscopy, interpreted in the light of x-ray structures and kinetic data, allow us to develop a model of the molecular events during translocation.

The role of tRNA as a molecular spring in decoding, accommodation, and peptidyl transfer.

Translation is the process by which the genetic information contained in mRNA is used to link amino acids in a predetermined sequential order into a polypeptide chain, which then folds into a protein. Transfer RNAs (tRNAs) are the adapter molecules designed to provide the “lookup” from codons to amino acids. Cryo‐EM has provided evidence that the ribosome, as a molecular machine, undergoes many structural changes during translation. Recent findings show that the tRNA structure itself undergoes large conformational changes as well, and that the decoding process must be seen as a complex dynamic interplay between tRNA and the ribosome.

Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules

Attempts to develop efficient classification approaches to the problem of heterogeneity in single-particle reconstruction of macromolecules require phantom data with realistic noise models. We have estimated the signal-to-noise ratios and spectral signal-to-noise ratios for three steps in the electron microscopic image formation from data obtained experimentally. An important result is that structural noise, i.e., the irreproducible component of the object prior to image formation, is substantial, and of the same order of magnitude as the reproducible signal. Based on this result, the noise modeling for testing new classification techniques can be improved.

Dynamics of the base of ribosomal A-site finger revealed by molecular dynamics simulations and Cryo-EM.

Helix 38 (H38) of the large ribosomal subunit, with a length of 110 Å, reaches the small subunit through intersubunit bridge B1a. Previous cryo-EM studies revealed that the tip of H38 moves by more than 10 Å from the non-ratcheted to the ratcheted state of the ribosome while mutational studies implicated a key role of flexible H38 in attenuation of translocation and in dynamical signaling between ribosomal functional centers. We investigate a region including the elbow-shaped kink-turn (Kt-38) in the Haloarcula marismortui archaeal ribosome, and equivalently positioned elbows in three eubacterial species, located at the H38 base. We performed explicit solvent molecular dynamics simulations on the H38 elbows in all four species. They are formed by at first sight unrelated sequences resulting in diverse base interactions but built with the same overall topology, as shown by X-ray crystallography. The elbows display similar fluctuations and intrinsic flexibilities in simulations indicating that the eubacterial H38 elbows are structural and dynamical analogs of archaeal Kt-38. We suggest that this structural element plays a pivotal role in the large motions of H38 and may act as fulcrum for the abovementioned tip motion. The directional flexibility inferred from simulations correlates well with the cryo-EM results.