Working with very small protein

Dear colleagues,

I am dealing with very small protein.
Could you please provide recommendations for image processing?
Currently, I am curious about the particle picking // 2D and 3D refinement.

Thank you.

Kind regards,
Dmitry

Hi Dimitry,

Here is a tutorial for the processing of membrane proteins:

The settings explained there helped me with small non-membrane targets before. Alternatively, this issue has been discussed elsewhere. The approaches suggested in these threads also helped me to get a grip on smaller targets.

Cheers,
Lorenz

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If you want to train with a positive control, we uploaded micrographs of 65 kDa hemoglobin that lead to a 3 ang map to EMPIAR a while back EMPIAR-10721 CryoEM single particle analysis of 65 kDa human haemoglobin using a 200 kV Talos Arctica

In our hands increasing the dose experimentally to 60-80 e/ang2 had higher impact than processing tricks

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Hi Dmitry,

do you “see” your particle in the micrograph? If not, do you have CLEM or phase-plate contrasted information, where your small protein is actually in the micrograph?

IF you get the right locations unambigously, it should be possible, to distinguish signal from noise.

Best
Chris

Hi Chris,

Though I do appreciate your suggestions on the applicability of CLEM or phase-plate, my initial inquiry dealt with the issues of image processing analysis. Well, I appreciate your contribution. However, image analysis Specialists have already provided the working solution above that solves my primary question.

Thanks for joining the conversation.

As always,
Dmitry

I have protein with 40 kD and getting difficult to reconstruct the particles as it is very tricky to pick particles. HoweverI was able to get 3.5 A map, but the particle was borken in the map. I am still struggling to get good resolution.

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Hello @roney.tucker. Yes, indeed, I have a similar situation. Currently - struggling with particle picking. Great to know that you managed to push it for 3.5A. This is fantastic. What particle picking tool worked for you best? Kind regards, Dmitry