proteomics informatics – protein characterization ii: protein interactions (week 12)

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

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Page 1: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Proteomics Informatics – Protein Characterization II:

Protein Interactions (Week 12)

Page 2: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Discovering New Protein Interactions withAffinity Capture Mass Spectrometry

AB

A

CD

Digestion

Mass spectrometry

EF

Identification

Page 3: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

More / better quality interactions

Affinity Capture Optimization Screen

+

Cell extraction

Lysate clearance/Batch Binding

Binding/Washing/Eluting

SDS-PAGE

Filtration

Hakhverdyan, et. al., "Rapid Optimized Screening of the Cellular Interactome", Nature Methods 2015.

Page 4: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Affinity Capture Optimization Screen

Hakhverdyan, et. al., "Rapid Optimized

Screening of the Cellular Interactome", Nature

Methods 2015.

Page 5: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Analysis of Non-Covalent Protein Complexes

Taverner et al., Acc Chem Res 2008

Page 6: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Non-Covalent Protein Complexes

Schreiber et al., Nature 2011

Page 7: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

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

Interaction Map of Histone Deacetylaces

Joshi et al. Molecular Systems Biology 9:672

Page 9: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Sowa et al., Cell 2009

Protein Complexes – specific/non-specific binding

Page 10: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Protein Complexes – specific/non-specific binding

Choi et al., Nature Methods 2010

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

Tackett et al. JPR 2005

Protein Complexes – specific/non-specific binding

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

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

Protein Crosslinking by Formaldehyde

~1% w/v Fal20 – 60 min

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

LaCava

Page 14: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Protein Crosslinking by Formaldehyde

RED: Formaldehyde crosslinkingBLACK: No crosslinking

SCORE: Log Ion Current / Log protein abundance

Page 15: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

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

Cross-linking

protein

n peptides with reactive groups

(n-1)n/2 potential ways to cross-link peptides pairwise

+ many additional uninformative formsProtein A + IgG heavy chain 990 possible peptide pairs

Yeast NPC ˜106 possible peptide pairs

Page 17: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Cross-linking

Mass 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 18: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Antibodies

V2 Vn J1 JnD1 DnV1

Variable heavy-chain domain

CDR1 CDR2 CDR3 (Fingerprint)

……… J2 …

VDJ Recombination

Somatic hypermutation

CDR1 CDR2 CDR3

Page 19: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

B cell Affinity SelectionSanger-Seq

Sequence DatabaseWith Paired Light-heavy Chain

Single Cell PCR

Serum IgG

Affinity Selection /MS

HIV-binding IgG

Spectra

Digest

Sorting AGTCCGATCGGATCCGTCCGATCGGATCCAAGTCCGATCGGATCCTCCGATCGGATCCCC

An MS-based Approach for Antibody Discovery

Scheid J, Mouquet H*, Ueberheide T*, Diskin R*, et al. Science, 2011

HIV Carrier

~500 Sequences

HIV-binding IgGs

Page 20: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

HIV Antibodies

J.F. Scheid et al, “Sequence and structural

convergence of broad and potent HIV antibodies that mimic CD4 binding”, Science, 333 (2011) 1633-

1637

Page 21: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Standard IgG

VH

CH 1

CH 2

CH 3

VL

CL

Light

Heavy

=

A Functional IgG Requires Paired Light and Heavy Chains

Page 22: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Cloning Single-Chain Llama Antibodies

Page 23: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Single-Chain IgG from Llama

•Atypical single-chain IgG antibody produced in camelid family (e.g. llama)•Retain high affinity for antigen without light chain•Antigen binding domain can be cloned and expressed to make “Nanobodies”:

- Extremely Cheap & Unlimited Amounts- Tiny (~15 kDa) , Fold well & Stable in Solution- Easily Engineered for Special Needs

VH H

CH 2

CH 3

Single-chain IgG

Nanobody

Standard IgG

Page 24: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

New MS-based Nanobody Discovery

Page 25: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

New MS-based Nanobody Discovery

Page 26: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

DNA Library ConstructionRead 1: 301 bp

Read 2: 301 bpOverlap: ~200 bp

Trim

Trim

Read 2 Quality

15

10-

14

30-

34

50-

59

150

-19

92

50-2

99

Read 1 Quality

1 5 10-1

4

30-3

4

50-5

9

150

-19

92

50-2

99

Page 27: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

DNA Library ConstructionRead 1: 301 bp

Read 2: 301 bpOverlap: ~200 bp

Trim

Trim

Merged read length

Merged read quality

1 5 10-14

30-34

50-59

150-199250-299

Me

rgin

go

f read

s

Page 28: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Identifying peptides

Page 29: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Identifying full-length sequences from peptides

Identified Peptides

Nanobody Primary Sequences with

CDR Regions Annotated

Mapping

Annotated Nanobody Sequences with

MS coverage

Ranked Nanobody Lists

Ranking

Grouping

Ranked Nanobody Groups

1. CDR regions are identified based on approximate position in the sequence and the presence of specific leading and trailing amino acids.

2. Nanobody sequences ranked based on: MS coverage and length of individual CDR regions with CDR3 carrying highest weight; overall coverage including scaffold region; HT-Seq counts.

3. Nanobody sequences grouped by CDR3. One sequence is assigned to a group where its hamming distance to an existing member is 1.

Page 30: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Identifying full-length sequences from peptides

Page 31: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Gene synthesis & Codon optimization

Cloning

Expression Vector

Transformation

E.coli ExpressionOne-Step Purification

~ $100 / sequence

Nanobody Production Scheme

MAQVQLVESGGGLVQAGGSLRLSCVASGRTFSGYAMGWFRQTPGREREAVAAITWSAHSTYYSDSVKDRFTISIDNTRNTGYLQMNSLKPEDTAVYYCTVRHGTWFTTSRYWTDWGQGTQVTVS

Sequence of Discovered Nanobody Candidates

~ 2 mg / 1 L

Page 32: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

GFP

HomemadeNanobody

Application of Anti-GFP Nanobodies in Immunofluorescence Microscopy

Page 33: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Super-high-affinity

KD = 0.03 nM

Clone A

Creating Super-high-affinity Reagent Against GFP

GFP:

Nan

o

Nan

oGFP

Overlay KD = 0.7 nM

Clone B KD = 16 nM

Page 34: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

HIV-1

gp120Lipid Bilayer gp41

MA

CA

NC

PR

IN

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

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

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

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

Fitness Landscape of HIV with random 15 bp insertions in ENV

Page 39: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

HIV interactome

Page 40: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

300 nm

3 nm

Limitation of Light Microscopy

Page 41: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Fluorescent Imaging with One Nanometer Accuracy (FIONA)

Yildiz et al, Science 2003.X axis

Y axis

CCD image of a single Cy3 molecule:

Width ~ 250nm

Center is localized within width/(S/N)

(S/N)2 ~ N

N = total # photon

(for N ~ 104 center within ~ 1.3 nm)

Paul Selvin

Page 42: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 43: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 44: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 45: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Limitation of Light Microscopy

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

3 nm

Page 46: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Limitation of Light Microscopy

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

20 nm

Page 47: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

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

Molecular Organization of the Intercalated Disc

Saffitz, Heart Rhythm (2009)

Page 49: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

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

Regular Microscopy v. Super-Resolution

Cx43

PKP2

Page 51: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Cx43

PKP2

Regular Microscopy v. Super-Resolution

Page 52: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Cx43

PKP2

Regular Microscopy v. Super-Resolution

Page 53: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

What Do We Mean by Colocalization?

Page 54: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Characterization of Cx43 Clusters

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

Predominantly circular

Scale =200 nm

Page 55: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Cx43-PKP2 Overlap Analysis

A correlation between overlap and Cx43 cluster area

100%

overla

p

50%

overlap

Cx43

Page 56: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Effect AnkG Silencing on Cx43

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

AnkG Sil

100% o

verla

p

50% overlap

Page 57: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Monte-Carlo Simulations

Page 58: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Monte-Carlo Simulations

Experiment

Simulation

Experiment

Simulation

Cx43

PKP2

Page 59: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Is the Observed Overlap Random?

Untreated AnkG Silencing

Cx43 Area

Colo

caliz

ati

on

Are

a

Cx43 Area

Colo

caliz

ati

on

Are

a

Untreated AnkG Silencing

Uniform

Non-uniform

Experiment

Experiment

Experiment

Experiment

Page 60: Proteomics Informatics – Protein Characterization II: Protein Interactions (Week 12)

Proteomics Informatics – Protein Characterization II:

Protein Interactions (Week 12)