Why Does Polyglutamine Aggregate? Insights from studies of monomers - PowerPoint PPT Presentation

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Why Does Polyglutamine Aggregate? Insights from studies of monomers

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Most chains aggregate and fall out of solution. CD data and heuristics counter our hypothesis: ... of 'short' simulations, estimate the time scale over which : ... – PowerPoint PPT presentation

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Title: Why Does Polyglutamine Aggregate? Insights from studies of monomers


1
Why Does Polyglutamine Aggregate? Insights from
studies of monomers
  • Xiaoling Wang, Andreas Vitalis, Scott Crick,
    Rohit Pappu
  • Biomedical Engineering Center for Computational
    Biology,
  • Washington University in St.Louis
  • pappu_at_biomed.wustl.edu
  • http//lima.wustl.edu

2
Expanded CAG Repeat Diseases and Proteins
DISEASE

GENE PRODUCT
NORMAL CAG
MUTANT CAG

REPEAT RANGE
REPEAT RANGE




Huntingtons
huntingtin

6
-
39


36-200

DRPLA

atrophin 1


35


3
49
-
88

SBMA

androgen rec.


33


9
38
-
65

SCA1

ataxin
-
1

6

44


39
-
83

SCA2

ataxin
-
2

13

33


32
-
200

SCA3/MJD

ataxin
-
3

3

40


54
-
89

SCA6
CACNA1A

4

19


20
-
33

SCA7

ataxin
-
7

4

35

37
-
306

SCA17

TBP

24


44


46
-
63


Bates, et al., Eds. (2002) Huntington's Disease,
Oxford University Press

3
Basic physics of aggregation
n denotes the number of peptide molecules in the
system (concentration) N Length of each peptide
molecule in the system
4
Work done to grow a cluster
  • In vitro aggregation studies of synthetic
    polyglutamine peptides
  • Evidence for nucleation-dependent polymerization
  • Rates of elongation versus concentration are fit
    to a pre-equilibrium model
  • And fits to the model suggests that n1 for Q28,
    Q36, Q47
  • See Chen, Ferrone, Wetzel, PNAS, 2002

5
UV-CD data Q5(-), D2Q15K2(-.-), Q28(),
Q45(---) Chen et al. JMB, 311, 173 (2001)
  1. No major difference between different chain
    lengths
  2. CD spectra for polyglutamine resemble those of
    denatured proteins

6
For given N, there is a concentration (n) for
which ?? lt 0. Why?
  • Hypothesis Water is a poor solvent for
    polyglutamine
  • Chain flexibility and attractions overwhelm
    chain-solvent interactions
  • Polymers form internally solvated collapsed
    globules
  • Rg and other properties scale with chain length
    as N0.34
  • Most chains aggregate and fall out of solution
  • CD data and heuristics counter our hypothesis
  • For denatured proteins, Rg N0.59 - polymers in
    good solvents
  • Polyglutamine is polar suggests that water is a
    good solvent
  • Requires new physics to explain polyglutamine
    aggregation

Lets test our hypothesis
7
MRMD the algorithm
  • Using a series of short simulations, estimate
    the time scale ? over which
  • Autocorrelation of soft modes decay
  • There are recurrent transitions between compact
    and swollen conformations
  • Use the estimate for ?, the time scale for each
    elementary simulation is tS10?
  • 60-100 independent simulations, each of length
    ts
  • Pool data from all simulations and construct
    conformational distributions using bootstrap
    methods

8
Simulation engine
  • Forcefield OPLSAA for peptides and TIP4P for
    water
  • Constant pressure (P), constant temperature (T)
    NPT
  • T 298K, P 1atm
  • Thermostat and barostat Berendsen weak coupling
  • Long-range interactions Twin range spherical
    cutoffs
  • Periodic boundary conditions in boxes that
    contain gt 4000 water molecules
  • Peptides ace-(Gln)N-nme, N5,15,20,
  • Cumulative simulation times gt 5?s
  • We have an internal control the excluded volume
    (EV) limit to quantify conformational
    equilibria in good solvents

9
Top row in water, bottom row in EV limit
Q5
Q15
Q20
In water
EV Limit
10
Scaling of internal distances is consistent with
behavior of chain in a poor solvent
Q5
Q15
Q20
Data for polyglutamine in EV limit Data for
polyglutamine in water
11
Can we test our prediction? Yes
  • Using Fluorescence Correlation Spectroscopy (FCS)
  • Peptides studied -Gly-(Gln)N-Cys-Lys2
  • indicates fluorescent label, which is Alexa488
  • Solution conditions
  • PBS pH 7.3, 8.0g NaCl, 0.2g KCl, 1.15g Di-sodium
    orthophosphate, 0.2g Potassium di-hydrogen
    orthophosphate, dissolved in pure H2O
  • Approximately one molecule in beam volume
  • Is diffusion time, ?D ?N0.33 or is ln(?D ) ?
    0.33ln(N)?

12
Evidence for poor solvent scaling
13
Polyglutamine Compact albeit disordered
Observation of disorder is consistent with CD data
14
Quantifying topology
What is the length scale over which spatial
correlations decay? Compute ltcos(?ij)gt as a
function of j-i
residue i
C
?
?
i
N
C
i
i1
C
?
C
j
j1
N
n
residue j
15
Up-down topology for collapsed polyglutamine
16
Q15
Q20
17
Hydrogen bonding patterns
18
Why collapse and what does it mean?
  • Summary The ensemble for polyglutamine in
    water
  • Is disordered albeit collapsed
  • Has a preferred up-down average topology
  • With a strong propensity for forming beta turns
  • And little to no long-range backbone hydrogen
    bonds
  • What drives collapse in water Generic backbone?
  • Is there anything special about polyglutamine?
  • What does all this mean for nucleation of
    aggregation?

19
Distributions for polyglycine
Water
8M Urea
EV Limit
Mimics of polypeptide backbones prefer to be
collapsed in water, which appears to be a
universal poor solvent for polypeptides Polyglutam
ine is a chain of two types of amides secondary
and primary
20
Primary and secondary amides
Propanamide (PPA)
N-methylformamide (NMF)
21
Amides in water
  • Pure (primary or secondary) Amides in water
  • N nW nA
  • NPT Simulations with varying nA implies varying
    ?A
  • T300K, P 1atm
  • OPLSAA forcefield for amides, TIP4P for H2O
  • nA 16, 32, 64, etc. for 1, 2, 3, molal
    solutions
  • nW 800
  • Amide (ternary) mixtures Primary and secondary
    amides
  • N nW nP nS
  • Keep nW and nP fixed and vary nS or nW and nS
    fixed, vary nP
  • Will show data for nP nS 32

22
Pair correlations
  1. NMF prefers water-separated contacts over
    hydrogen bonded contacts
  2. PPA prefers hydrogen bonded contacts over
    water-separated contacts
  3. PPA donor - NMF acceptor hydrogen bonds are
    preferred in mixtures

23
Cluster statistics
24
Typical large cluster in PPANMF mixtures
Consistent with data of Eberhardt and Raines,
JACS, 1994
25
In polyglutamine, sidechains solvate the
backbone in compact geometries
Q20 Rg8.86Å, ? 0.096
Q20 Rg8.11Å, ? 0.13
Q20 Rg8.49Å, ?0.16
26
Hypothesis part I Why is aggregation
spontaneous?
  • For a system of peptides of length N
  • There is a finite concentration (n) for which ??
    lt 0
  • ?? lt 0 if
  • Aggregated state of intermolecular solvation via
    glutamine sidechains is preferred to the
    disordered state of intramolecular solvation
    whereby sidechains solvate their own backbones
  • It is our hypothesis that
  • Peptide concentration at which ?? becomes
    negative will decrease rapidly with increasing
    chain length

27
Hypothesis part II Nucleation
  • Ensemble of nucleus is species of highest free
    energy for monomer
  • Nucleation must involve the following penalties
  • DESOLVATION Replace favorable sidechain-backbone
    contacts and residual water-backbone contacts
    with unfavorable backbone-backbone contacts
  • ENTROPIC BOTTLENECK Replace disordered ensemble
    with ordered nucleus
  • Conformations in the nucleus ensemble?
  • ß-helix-like (see work of Dokholyan group, PLoS,
    2005)
  • ?-pleated sheet (see work of Daggett group, PNAS,
    2005)
  • Antiparallel ß-sheet (see fiber diffraction data)

28
Thanks to
  • THE LAB
  • Xiaoling Wang
  • Andreas Vitalis
  • Scott Crick
  • Hoang Tran
  • Alan Chen
  • Matthew Wyczalkowski
  • Collaborations
  • Ron Wetzel UTK
  • Murali Jayaraman UTK
  • Carl Frieden WUSTL

29
Ongoing work
  1. Monomer distributions for N gt 25
  2. Free energies of nucleating intramolecular beta
    sheets
  3. Influence of sequence context In vivo, its not
    just a polyglutamine
  4. Quantitative characterization of oligomer
    landscape
  5. Generalizations to aggregation of other
    intrinsically disordered proteins rich in polar
    amino acids
  6. Experiments New FCS methods to study oligomers
    and nucleation kinetics
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