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Hi Sjors and all others,

In order to perform the signal subtraction, we have to do 3D auto-refine
for C1 using expanded_particles.star with ONLY local angular searches
(e.g., 1.8 degrees).
Is my understanding correct?

Thanks,
Dong-Hua

On Thu, Mar 7, 2019 at 11:56 AM Sjors Scheres <[log in to unmask]>
wrote:

> Dear Julian,
>
> More classes just gives it more space to separate out, as you do not align
> anyway, the increase in number of parameters is not large.
> The higher T fudges for the observation that the signal now lives in a
> small part of the box, while it is measured as its power from the whole
> box.
>
> You say refinement has failed. You could try to select your class from the
> expanded classification, and then perform a auto-refinement where you only
> perform local angular searches: that is, use a start sampling that is just
> as large as the one from where you do local searches, for example both at
> 1.8 degree. The input map for that refinement could be the class you had
> identified. Doing only local searches will prevent particles 'loosing
> their way again' if you start from a low-resolution initial model. This
> whole procedure also works with signal subtraction, but make sure to
> revert back to the non-subtracted particles before the 3D refinement (i.e.
> only use subtracted images in the classification).
>
> HTH,
> Sjors
>
>
>
> > Dear Sjors and all the others,
> >
> > thank you very much for the very helpful input!
> >
> > We now expanded the star file and made a masked classification which
> > resulted in one class nicely showing the expected conformational
> > change. However, refinement of this class has led to a bad result.
> >
> > We will now do the particle substraction as you suggested and try again.
> >
> > For my understanding, could you clarify the need of many classes and
> > the higher-than usual T-factor?
> >
> > Best,
> > Julian
> >
> >
> > Zitat von Sjors Scheres <[log in to unmask]>:
> >
> >> Dear Julian,
> >> It is as Bayly says:
> >>
> >> relion_particle_symmetry_expand --i refine3D/jobXXX/run_data.star
> >> --sym C3 --o expanded_particles.star
> >>
> >> Then there are multiple options. I would suggest making a mask
> >> around 1 monomer and another mask around the other 2 monomers. Then
> >> subtract 2 monomers from all expanded particles, and feed the
> >> resulting images into a 3D classification (without re-alignment)
> >> that uses the single-monomer mask. Use many classes (10?) and a
> >> higher-than usual T-factor, say 10-20.
> >>
> >> The original reference is :
> >> S.H.W. Scheres (2016)  "Processing of Structurally Heterogeneous
> >> Cryo-EM Data in RELION" Meth. Enzym. 579, 125-157 (section 4.7)
> >>
> >> HTH,
> >> Sjors
> >>
> >>
> >> Charles Bayly-Jones wrote:
> >>> Yes, the relion_particle_symmetry_expand function will allow you to
> >>> accomplish this. Then perform masked 3D classification as you
> >>> described. It is very useful indeed :)
> >>>
> >>> You could also use the localised reconstruction method from Ilca et
> >>> al. (2015) doi:10.1038/ncomms9843
> >>> <
> http://www.nature.com/ncomms/2015/151104/ncomms9843/full/ncomms9843.html>
> >>> Best of luck,
> >>> Charlie
> >>> _________________*
> >>> *
> >>>
> >>> *Charles Bayly-Jones*
> >>> BSc(ScSchProg)(Hons)
> >>>
> >>> *PhD Candidate*
> >>> *Teaching Associate*
> >>> *
> >>> *
> >>> *Monash Biomedicine Discovery Institute*
> >>> *Department of Biochemistry and Molecular Biology*
> >>> Level 2, Building 77
> >>> 23 Innovation Walk
> >>> Clayton VIC 3800
> >>> Australia
> >>>
> >>>
> >>> On Tue, 5 Mar 2019 at 21:01, Julian Reitz <[log in to unmask]
> >>> <mailto:[log in to unmask]>> wrote:
> >>>
> >>>    Dear all,
> >>>
> >>>    we are working on a dataset from a homo-trimeric protein. Until
> >>>    now we have very successfully refined the structure to good
> >>>    resolution applying C3 symmetry in RELION.
> >>>
> >>>    However, we also have a sample from this protein that contains a
> >>>    low affinity binding substrate and we would like to do a
> >>>    classification to see if there are some subunits showing the
> >>>    expected conformational change due to substrate binding. The point
> >>>    is, that we do not expect the ligand to bind to all three monomers
> >>>    of one particle but that the conformational change might only
> >>>    happen in one of the monomers of a particle. Therefore, normal
> >>>    3D-classification seems unrewarding and a masked classification
> >>>    would suffer from the aspect, that we always only look on one of
> >>>    the monomers ignoring two-thirds of the data.
> >>>
> >>>    We were thinking that it might be helpful if we somehow triplicate
> >>>    the particles, each rotated by 120° to get all of the three
> >>>    monomers from one particle inside the mask. Is there any clever
> >>>    way to do this in RELION or does anybody else has a good idea how
> >>>    we could proceed?
> >>>
> >>>    Best,
> >>>    Julian
> >>>
> >>>
> ########################################################################
> >>>
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> >>>
> >>>
> >>>
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> >>>
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> >>>
> >>
> >> --
> >> Sjors Scheres
> >> MRC Laboratory of Molecular Biology
> >> Francis Crick Avenue, Cambridge Biomedical Campus
> >> Cambridge CB2 0QH, U.K.
> >> tel: +44 (0)1223 267061
> >> http://www2.mrc-lmb.cam.ac.uk/groups/scheres
> >>
> >> ########################################################################
> >>
> >> To unsubscribe from the CCPEM list, click the following link:
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> >
> >
> > --
> > Julian Reitz, Dipl.-Biochem.
> > J.W. Goethe Universität Frankfurt am Main
> > BMLS - Buchmann Institut for Molecular Life Sciences
> > Frangakis Group
> > Max-von-Laue-Str. 15 Raum 1.658, D-60438
> > Tel: +49 (0)69 798-46429
> > e-mail: [log in to unmask]
> > http://fcem.uni-frankfurt.de/em
> >
> > ########################################################################
> >
> > To unsubscribe from the CCPEM list, click the following link:
> > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCPEM&A=1
> >
>
>
> --
> Sjors Scheres
> MRC Laboratory of Molecular Biology
> Francis Crick Avenue, Cambridge Biomedical Campus
> Cambridge CB2 0QH, U.K.
> tel: +44 (0)1223 267061
> http://www2.mrc-lmb.cam.ac.uk/groups/scheres
>
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>
> To unsubscribe from the CCPEM list, click the following link:
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>

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