Hi Anjitha,
I have some experience with processing cryoEM datasets of nucleosomes and protein+nucleosome complexes, so I may be able to help.
Nucleosomes with equal length linker DNA and without bound protein generally have C2 symmetry. You can apply C2 symmetry during your refinement jobs to “duplicate” the information into a single face of the nucleosome by combining the signal from both faces of the nucleosome. This effectively doubles your particle stack. If you do this, you can no longer interpret any potential asymmetry between the two faces because they will look the same. It is usually better to start with C1 symmetry, as you described, to determine if the nucleosome is truly C2-symmetric at the resolution you care about. If it is, then you can begin applying C2 symmetry to boost your signal to noise and increase resolution.
For protein+nucleosome complexes, you can have different stoichiometries of protein bound to the nucleosome depending on how many binding sites there are for the protein. If your protein binds to the nucleosome face (2 binding sites) then your particle stack may contain three different complexes (compositional heterogeneity) – free nucleosome, 1:1 protein:nucleosome, or 2:1 protein:nucleosome (protein bound to both faces of the nucleosome). However, if your protein binds to the nucleosome face but, in doing so, occludes binding to the opposite face of the nucleosome, then you will only have free nucleosome and 1:1 protein:nucleosome species in your particles stack. CryoEM density of bound protein at both faces of the nucleosome may indicate that you have nucleosomes with two proteins bound to a single nucleosome or it may indicate that the refinement job mask only included nucleosome density and did not include the bound protein(s), so it did not consider aligning the bound protein so that the bound protein was located at the same face of the nucleosome.
To determine if you have nucleosomes with protein bound to both faces, run a 3D classification job on the aligned particle stack. Use low resolution (10-15 Ă…), and ask for 4 output volumes, which would correspond to free nucleosome, 1 protein bound to the upper face of the nuc, 1 protein bound to the lower face of the nuc, and 2 proteins bound to each face of the nuc. You should use a focus mask that includes regions from both faces of the nuc where the protein could bind. Make sure the solvent mask overlaps with the focus mask in these regions. If you get a volume showing protein density bound to both faces of the nucleosome, then this is evidence showing that your particle stack contains nucleosomes with two bound proteins. In any case, you will want to exclude free nucleosome particles from your particle stack because it will reduce the visibility of the bound protein in your final map.
If you have 2:1 protein:nucleosome complexes, then I would recommend performing symmetry expansion on the particle stack with C2 symmetry to combine the information from both faces of the nucleosome into a single face and duplicate the particle stack. If you do this make sure to use local refinement jobs for your refinements, not homogenous refinement, heterogenous refinement, or non-uniform refinement. Make sure your mask includes only one of the bound proteins, not both. If you C2 symmetry expand you should only consider and interpret information from one face of the nucleosome. Also, make sure to leave the symmetry as C1 as a parameter in the local refinement job of C2 symmetry-expanded particles.
If you do not find evidence of 2:1 protein:nucleosome complexes, then I would recommend removing any free nucleosome particles using 3D classification and running regular C1 refinement jobs – homogenous refinement then local refinement. Make sure your masks include the region of density with your bound protein.
I don’t think it is necessary to perform signal subtraction of one of the bound proteins to boost resolution for the other bound protein if the bound proteins are small relative to the nucleosome, but it may help if the bound proteins are large.
Hope this helps!
-Chad Hicks