Sample Preparation Holger Stark MPI for biophysical Chemistry - - PowerPoint PPT Presentation

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Sample Preparation Holger Stark MPI for biophysical Chemistry - - PowerPoint PPT Presentation

Sample Preparation Holger Stark MPI for biophysical Chemistry Gttingen Germany Motivation PDB search results: es with min 4 different chains (complexes) make up only ~1% of the PDB is in contrast to the fact that: t proteins act in


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SLIDE 1

Sample Preparation

Holger Stark MPI for biophysical Chemistry Göttingen Germany

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SLIDE 2

Motivation

PDB search results: es with min 4 different chains (complexes) make up only ~1% of the PDB is in contrast to the fact that: t proteins act in complexes with an average size of ~10 components (cha ~1% of the PDB entries with >3 chains: Most of these entries are well behaved and stable complexes such as ribosomes, GroEl, proteasome.

There are numerous of large (>150kDa) and asymmetric complexes in the cell and their structure is not known!

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SLIDE 3

Challenging Complexes

  • Abundance – copy numbers
  • Biochemical Purification difficult to
  • ptimize
  • Stability
  • Aggregation
  • Structural Heterogeneity
  • Conformational Heterogeneity
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SLIDE 4

Abundance S t a b i l i t y S y m m e t r y S h a p e

  • S

i z e I m a g i n g P r

  • c

e s s i n g Structure

CPV (Hong)

3 A

Ribosome

25 A

GroEl

4A

Ferritin ? Spliceosome

5 A 10 A

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SLIDE 5

Structural Heterogeneity may be artificially created by standard EM Sample Preparation Procedures

U4/U6.U5 tri-snRNP

Sander et al., Mol Cell, 2006

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SLIDE 6

Typically 0 – 0.15% glutaraldehyde

GraFix

A combined Gradient centrifugation and Fixation method

Kastner et al. Nature Methods, 2008

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SLIDE 7

GraFix test: Spliceosomal B Complex

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SLIDE 8
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SLIDE 9

Long adsorption times with GraFix

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SLIDE 10

How to analyze chemically stabilized complexe

Problem :

Chemically stabilized macromolecules cannot be analyzed by SDS gel analysis

  • > GraFix samples can be analyzed by Mass Spec

(ECAD, EM Carbon-film-Assisted endoproteinase Digestion)

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SLIDE 11

ECAD

Higher sensitivity ! Preference to detect Peptides located at Interface regions

Collaboration with Florian Richter and Henning Urlaub , MPI Göttingen

Reproducible detection

  • f substoichiometric or

transiently bound factors Direct correlation of Mass Spec and Structure Determination

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GraFix

A combined Gradient centrifugation and Fixation method

There is some concern that GraFix may create artefacts

  • ribosomes and snRNPs did not reveal any

difference in structure upon GraFix treatment.

  • GraFix treated complexes can still be crystallized

(Ferritin) !!

  • The 3D structure of Ferritin and Ferritingrafix are

identical !!!

GraFix does not „repair“ previously damaged complexes, therefore buffer optimization is also required.

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SLIDE 13

Classical optimization

1) Consumes substantial amounts of sample (≈ 10 mg). 2) Is tedious owing to purification capacity and readout. 3) For practical reasons limited to a small set of conditions.

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The ideal optimization setup

1) Consumes little amounts of sample. 2) Should be highly sensitive. 3) Has high-throughput and samples a comprehensive set of conditions. 4) Utilizes simple instrumentation/ chemistry.

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SLIDE 15

The Thermofluor™ method

Er

1) Consumes little amounts of sample (≈1000 pmol/ 96 conditions). ✔ 2) Should be highly sensitive. ✔ 3) Has high-throughput and samples a comprehensive set of conditions (90 conditions in one screen). ✔ 4) Utilizes simple instrumentation/ chemistry. ✔

Ericsson et al, Analytical Biochemistry, 20

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What actually happens - the simple case

T F T emperature

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SLIDE 17
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How to interpret data?

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Thermofluor Analyzer Interface - Graphs

  • T

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SLIDE 20

Thermofluor Analyzer Interface - Input

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Thermofluor Analyzer Interface - Results

  • T

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SLIDE 22

Proof of principle

30 35 40 45 50 55 60 65 70 75 80 85 90 500 1000 1500 2000 2500

Imidazole pH 5.4

30 35 40 45 50 55 60 65 70 75 80 85 90 500 1000 1500 2000 2500

Imidazole pH 6.6

30 35 40 45 50 55 60 65 70 75 80 85 90 500 1000 1500 2000 2500

Imidazole pH 8.0

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SLIDE 23

Dramatic pH Effect on Stabilization

pH dependent stabilization profile of macromolecular complexes (n=30 complexes) EMDB pH values

Most complexes studied so far were probably not treated under the best conditions. Lots of room for improvement !!!

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Stabilization of BgHb (snail hemoglobin)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 1 2 3 4 5 6 7 8 9 10

Standard purified sample

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 50 100 150 200 250 300 350 400 450 500

Sample rebuffered into Imidazole pH 6 GraFix treated sample

Vanessa Möller, Jürgen Markl

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SLIDE 25

BgHb optimzation!

  • Day1: buffer optimization
  • Day2: GraFix run
  • Day3: Preparation of cryo grids
  • Day3/4: Imaging over night!
  • Day5: Particle picking and 2D analy
  • 3D after few weeks

Remember the starting material

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SLIDE 26

Stabilization of BgHb (snail hemoglobin)

Standard purified Sample: Tris

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 50 100 150 200 250 300 350 400 450 500

Result buffer Imidazole pH 6 GraFix treaed sample Crystals

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SLIDE 27

Perfect Correlation with Crystallization conditions

Protein complex ProteoPerfe ct result buffer Crystallizati

  • n buffer

Citation EFG- Ribosome complex MES, pH 6.5 MES, pH 6.5

Gao et al. Science 2009 326, no5953, 694-699

P97 HEPES, pH 6.8 HEPES, pH 7.0

Brünger et al JMB 2005 347,437- 452

7S Tris, pH 8 Tris, pH 7.6- 8.2

Zhang et al. Cell 2011 146(3):384-95

6S/8S Hepes, pH 6.8 HEPES, pH 7

Grimm et al. 2012 (Manuscript under revision)

HEPES, pH 8 HEPES, pH 8 Crm1 HEPES, pH 7.5 HEPES, pH 7.5

Monecke et al. PNAS (2012) under revision

80S Ribosome Imidazole, pH 6.8 Imidazole, pH 6.8

Personal communication Nenad Ban lab

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SLIDE 28

Possible Worklow for Sample Preparation

Cell Culture Complex Purificati

  • n

Buffer Optimiza tion Ligand Screen

GraFix

Compl ex

With maximum stability

Cry

  • EM

X- ray

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SLIDE 29

What about Conformational Heterogeneity

Cannot be avoided by biochemical stabilization. Thermal energy is sufficient to generate conformational heterogeneity !

  • functional stabilization (not easy, not

always possible)

  • work with Thermophiles ?
  • Cryo Fixation (Cool-GraFix)

Can we crosslink at low temperatur

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SLIDE 30

Acknowledgements

Ashwin Chari David Haselbach Jan-Martin Kirves Niels Fischer Wen- Ti Liu Jil Schrader Michael Hohns Andrius Kraskauskas Florian Hauer Prakash Dube Florian Platzmann Boris Busche Mario Lüttich Tobias Koske Frank Würriehausen