proteomics informatics – protein characterization ii: protein interactions  (week 11)

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Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 11)

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Proteomics Informatics – Protein Characterization II: Protein Interactions  (Week 11). Discovering New Protein Interactions with Affinity Capture Mass Spectrometry. E. F. A. D. A. C. B. Digestion. Mass spectrometry. Identification. Affinity Capture Optimization Screen. - PowerPoint PPT Presentation

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Page 1: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Proteomics Informatics – Protein Characterization II:

Protein Interactions (Week 11)

Page 2: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Discovering New Protein Interactions withAffinity Capture Mass Spectrometry

AB

AC

D

Digestion

Mass spectrometry

EF

Identification

Page 3: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

More / better quality interactions

Affinity Capture Optimization Screen

+

Cell extraction

Lysate clearance/Batch Binding

Binding/Washing/Eluting

SDS-PAGE

Filtration

Page 4: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Analysis of Non-Covalent Protein Complexes

Taverner et al., Acc Chem Res 2008

Page 5: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Non-Covalent Protein Complexes

Schreiber et al., Nature 2011

Page 6: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Over 20 different extraction and washing conditions ~ 10 years or art.(41 pullouts are shown)

Molecular Architecture of the NPC

Actual model Alber F. et al. Nature (450) 683-694. 2007 Alber F. et al. Nature (450) 695-700. 2007

Page 7: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Interaction Map of Histone Deacetylaces

Joshi et al. Molecular Systems Biology 9:672

Page 8: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Sowa et al., Cell 2009

Protein Complexes – specific/non-specific binding

Page 9: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Protein Complexes – specific/non-specific binding

Choi et al., Nature Methods 2010

Page 10: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Tackett et al. JPR 2005

Protein Complexes – specific/non-specific binding

Page 11: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

M/Z

PeptidesFragments

Fragmentation

ProteolyticPeptides

Enzymatic Digestion

ProteinComplex

Chemical Cross-Linking

MS

MS/MS

Isolation

Cross-LinkedProtein Complex

Interaction Partners by Chemical Cross-Linking

Page 12: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Protein Crosslinking by Formaldehyde

~1% w/v Fal20 – 60 min

~0.3% w/v Fal5 – 20 min1/100 the volume

LaCava

Page 13: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Protein Crosslinking by Formaldehyde

RED: Formaldehyde crosslinkingBLACK: No crosslinking

SCORE: Log Ion Current / Log protein abundance

Page 14: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

M/Z

PeptidesFragments

Fragmentation

ProteolyticPeptides

Enzymatic Digestion

ProteinComplex

Chemical Cross-Linking

MS

MS/MS

Isolation

Cross-LinkedProtein Complex

Interaction Sites by Chemical Cross-Linking

Page 15: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cross-linking

protein

n peptides with reactive groups

(n-1)n/2 potential ways to cross-link peptides pairwise+ many additional uninformative forms

Protein A + IgG heavy chain 990 possible peptide pairs

Yeast NPC ˜106 possible peptide pairs

Page 16: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cross-linkingMass spectrometers have a limited dynamic range and it therefore important to limit the number of possible reactions not to dilute the cross-linked peptides.

For identification of a cross-linked peptide pair, both peptides have to be sufficiently long and required to give informative fragmentation.

High mass accuracy MS/MS is recommended because the spectrum will be a mixture of fragment ions from two peptides.

Because the cross-linked peptides are often large, CAD is not ideal, but instead ETD is recommended.

Page 17: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cloning nanobodies for GFP pullouts• Atypical heavy chain-only IgG antibody produced in camelid family – retain

high affinity for antigen without light chain

• Aimed to clone individual single-domain VHH antibodies against GFP – only ~15 kDa, can be recombinantly expressed, used as bait for pullouts, etc.

• To identify full repertoire, will identify GFP binders through combination of high-throughput DNA sequencing and mass spectrometry

VHH clone for recombinant expression

Page 18: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cloning llamabodies for GFP pullouts

Page 19: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Identifying full-length sequences from peptides

Page 20: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Sequence diversity of 26 verified anti-GFP nanobodies

• Of ~200 positive sequence hits, 44 high confidence clones were synthesized and tested for expression and GFP binding: 26 were confirmed GFP binders.

• Sequences have characteristic conserved VHH residues, but significant diversity in CDR regions.

FR1 CDR1 FR2 CDR2 CDR3FR3 FR4

Page 21: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

HIV-1

gp120Lipid Bilayer gp41

MA

CA

NC

PRIN

RT

RNA

Particle

Genome

env

rev

vpu

tat

nef

3’ LTR5’ LTR

vif gagpol

vpr

CAMA NC p6

PR RT IN

gp41gp120

9,200 nucleotides

Page 22: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Digestion & Ligation

R7/3

+

Kanr

PmeI SiteKanr

Random insertion of 5 amino acids (PmeI)within specific viral coding region

Random Insertion of 5 Amino Acids in Proviral DNA Clone

1

10

100

1000

0 200 400 600 800

Page 23: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Fitness Landscape of Targeted Viral Segment

1

10

100

1000

10000

0 200 400 600 8001

10

100

1000

10000

0 200 400 600 8001

10

100

1000

0 200 400 600 800

1

10

100

1000

0 200 400 600 8001

10

100

1000

0 200 400 600 8001

10

100

1000

0 200 400 600 800

1

10

100

1000

10000

0 200 400 600 8001

10

100

1000

10000

0 200 400 600 8001

10

100

1000

0 200 400 600 800

Day 1

Day 3

Day 6

Page 24: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Specific and Non-Specific Interactors

3xFLAG Tagged HIV-1 WT HIV-1

Infection

Light Heavy (13C labeled Lys, Arg)

1:1 Mix

Immunoisolation

MS

I-DIRT = Isotopic Differentiation of Interactions as Random or Targeted

Lys Arg(+6 daltons)(+6 daltons)

Modified from Tackett AJ et al., J Proteome Res. (2005) 4, 1752-6.

Page 25: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Specific and Non-Specific InteractorsEnv-3xFLAG Vif-3xFLAG

Page 26: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

300 nm

3 nm

Limitation of Light Microscopy

Page 27: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Fluorescent Imaging with One Nanometer Accuracy (FIONA)

Yildiz et al, Science 2003.X axis

Y axis

CCD image of a single Cy3 molecule:Width ~ 250nmCenter is localized within width/(S/N)(S/N)2 ~ NN = total # photon(for N ~ 104 center within ~ 1.3 nm)

Paul Selvin

Page 28: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 29: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 30: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 31: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 32: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Limitation of Light Microscopy

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

Page 33: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Super-Resolution Localization Microscopy

Huang, Annu. Rev. Biochem, 2009

Bates, 2007 Science

STORM: STochastic Optical Reconstruction Microscopy Using doubly labeled (Cy3-Cy5) Ab

Betzig, 2006 Science

PALM: PhotoActivation Localization MicroscopyUsing fluorescence proteins (mEOS, etc)

Using two lasers for interchangeable activation and excitation of probes

Page 34: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Molecular Organization of the Intercalated Disc

Saffitz, Heart Rhythm (2009)

Page 35: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Molecular Organizationof the Intercalated Disc

Connexin43 (Cx43) Gap junctions

Plakophilin-2 (PKP2) Desmosome

What is the interaction map of ID proteins?Agullo-Pascual E, Reid DA, Keegan S, Sidhu M, Fenyö D, Rothenberg E, Delmar M. "Super-resolution fluorescence microscopy of the cardiac connexome reveals plakophilin-2 inside the connexin43 plaque“, Cardiovasc Res. 2013

Page 36: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Regular Microscopy v. Super-Resolution

Cx43

PKP2

Page 37: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cx43

PKP2

Regular Microscopy v. Super-Resolution

Page 38: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cx43

PKP2

Regular Microscopy v. Super-Resolution

Page 39: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

What Do We Mean by Colocalization?

Page 40: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Characterization of Cx43 Clusters

Two distinct size populations corresponding to hemi-channels and full channels.

Predominantly circular

Scale =200 nm

Page 41: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Cx43-PKP2 Overlap Analysis

A correlation between overlap and Cx43 cluster area

100%

overlap

50% overlap

Cx43

Page 42: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Effect AnkG Silencing on Cx43

AnkG silencing results in increase of Cx43 cluster size and loss of circularity.

AnkG Sil

100% overla

p

50% overlap

Page 43: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Monte-Carlo Simulations

Page 44: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Monte-Carlo Simulations

Experiment

Simulation

Experiment

Simulation

Cx43

PKP2

Page 45: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Is the Observed Overlap Random?Untreated AnkG Silencing

Cx43 AreaColo

caliz

atio

nAr

ea

Cx43 AreaColo

caliz

atio

nAr

ea

Untreated AnkG SilencingUniformNon-uniform

Experiment

Experiment

Experiment

Experiment

Page 46: Proteomics Informatics –  Protein Characterization II:  Protein Interactions  (Week 11)

Proteomics Informatics – Protein Characterization II:

Protein Interactions (Week 11)