Simultaneous Recurrent Neural Networks for Static Optimization Problems By: Amol Patwardhan
BC: Electron cryo microscopy in structural biology Ardan Patwardhan [email protected] Dept. of...
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Transcript of BC: Electron cryo microscopy in structural biology Ardan Patwardhan [email protected] Dept. of...
![Page 1: BC: Electron cryo microscopy in structural biology Ardan Patwardhan a.patwardhan@ic.ac.uk Dept. of Biological Sciences Imperial College November, 2003.](https://reader036.fdocuments.in/reader036/viewer/2022062303/5515cfe9550346cf6f8b45a4/html5/thumbnails/1.jpg)
BC: Electron cryo microscopy in structural biology
Ardan Patwardhan [email protected]. of Biological SciencesImperial CollegeNovember, 2003
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Specimen contrastAmplitude Contrast
Phase Contrast
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Phase Contrast
• Is not directly observable
• Converted to amplitude contrast by defocusing specimen
• Limited to study of thin specimens (<1000Å)
• Same technique used in light microscopy to study unstained specimens
• Why not use stain?- May affect macromolecular structure
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Cryo specimen preparation• Preserve native environment
• High vacuum need frozen specimens!
• Snap freezing for amorphous ice phase, not crystalline ice phase
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Cryo EM “grid”
Supportingcarbon film
Ice holes
Metal grid
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An ice hole• Particles are randomly positioned and
orientated
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EM images
• 2D projections of 3D objects
• Similar to x-ray images
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EM images are very noisy!!
• Beam damage limits exposure
• At our disposal: Thousands of randomly oriented macromolecular images with very poor signal to noise ratio
• Image processing techniques used to combine thousands of 2D images into a 3D reconstruction of the particle
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Particle Picking
• Objective: identify particles in micrograph and cut out patches containing one particle each
• Can be done automatically, in some cases, especially if the molecule possesses icosahedral symmetry
• Most cases still done manually- tedious, difficult and boring
• Need to collect between 1000 and 10000 particles to get going (the more the better)
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Translational Alignment• Requires reference image(s) to align to
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Rotational Alignment• Requires reference image(s) to align to
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Classification• Combine like views to improve signal to
noise
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Chicken and egg problem
• The class “sum” images can be used as references for alignment
• The quality of the classification depends on how well aligned the data is
• In general, steps of alignment and classification have to be repeated several times
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Angular reconstitution• Determine angles of projections relative to each other in
3D
• Find common line projections to determine relative angles
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Slice through
3D
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Reprojection
• 3D density map can be used to generate projections that can be used to realign the raw images
• Process may have to be repeated several times
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Pros and cons
• Excellent tool for difference studies
• Resolution not yet as good as for x-ray crystallography and NMR
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Examples: Ribosome
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References
• M. van Heel, B. Gowen, R. Matadeen, E. Orlova, R. Finn, T. Pape, D. Cohen, H. Stark, R. Schmidt, M. Schatz and A. Patwardhan:Single-particle electron cryo-microscopy: towards atomic resolution.Quarterly Review of Biophysics 33(4), 307 - 369(2000)
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CreditsBiological Sciences
• Prof. Marin Van Heel
• Dr. Tillman Pape
• Dr. Elena Orlova
• Alexis Rohou
• David Carpentier
• Martin Bommer
• Richard Hall
• Dr. Pampa Ray
Division of Medicine
• Dr. Edward P. Morris• Danielle Paul