Directed Mutagenesis and Protein Engineering

Содержание

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Mutagenesis Mutagenesis -> change in DNA sequence -> Point mutations or

Mutagenesis

Mutagenesis -> change in DNA sequence
-> Point mutations or large

modifications
Point mutations (directed mutagenesis):
Substitution: change of one nucleotide (i.e. A-> C)
Insertion: gaining one additional nucleotide
Deletion: loss of one nucleotide
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Consequences of point mutations within a coding sequence (gene) for the

Consequences of point mutations within a coding sequence (gene) for the

protein

Silent mutations:
-> change in nucleotide sequence with no consequences for protein sequence

-> Change of amino acid

-> truncation of protein

-> change of c-terminal part of protein

-> change of c-terminal part of protein

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Mutagenesis Comparison of cellular and invitro mutagenesis

Mutagenesis Comparison of cellular and invitro mutagenesis

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Applications of directed mutagenesis

Applications of directed mutagenesis

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General strategy for directed mutagenesis Requirements: DNA of interest (gene or

General strategy for directed mutagenesis

Requirements:
DNA of interest (gene or

promoter) must be cloned
Expression system must be available -> for testing phenotypic change
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Approaches for directed mutagenesis -> site-directed mutagenesis -> point mutations in

Approaches for directed mutagenesis

-> site-directed mutagenesis
-> point mutations in

particular known area
result -> library of wild-type and mutated DNA (site-specific)
not really a library -> just 2 species
-> random mutagenesis
-> point mutations in all areas within DNA of interest
result -> library of wild-type and mutated DNA (random)
a real library -> many variants -> screening !!!
if methods efficient -> mostly mutated DNA
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Protein Engineering -> Mutagenesis used for modifying proteins Replacements on protein

Protein Engineering

-> Mutagenesis used for modifying proteins
Replacements on protein level ->

mutations on DNA level
Assumption : Natural sequence can be modified to
improve a certain function of protein
This implies:
Protein is NOT at an optimum for that function
Sequence changes without disruption of the structure
(otherwise it would not fold)
New sequence is not TOO different from the native sequence (otherwise loss in function of protein)
consequence -> introduce point mutations
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Protein Engineering Obtain a protein with improved or new properties

Protein Engineering Obtain a protein with improved or new properties

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Rational Protein Design ⇒ Site –directed mutagenesis !!! Requirements: -> Knowledge

Rational Protein Design

⇒ Site –directed mutagenesis !!!
Requirements:
-> Knowledge of sequence

and preferable Structure
(active site,….)
-> Understanding of mechanism
(knowledge about structure – function relationship)
-> Identification of cofactors……..
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Site-directed mutagenesis methods Old method -> used before oligonucleotide –directed mutagenesis

Site-directed mutagenesis methods

Old method
-> used before oligonucleotide –directed mutagenesis
Limitations:
->

just C-> T mutations
-> randomly mutated
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Site-directed mutagenesis methods

Site-directed mutagenesis methods

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Site-directed mutagenesis methods – Oligonucleotide - directed method

Site-directed mutagenesis methods – Oligonucleotide - directed method

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Site-directed mutagenesis methods – PCR based

Site-directed mutagenesis methods – PCR based

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Directed Evolution – Random mutagenesis -> based on the process of

Directed Evolution – Random mutagenesis

-> based on the process of natural

evolution
- NO structural information required
- NO understanding of the mechanism required
General Procedure:
Generation of genetic diversity
⇒ Random mutagenesis
Identification of successful variants
⇒ Screening and seletion
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General Directed Evolution Procedure Random mutagenesis methods

General Directed Evolution Procedure

Random mutagenesis methods

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Directed Evolution Library Even a large library -> (108 independent clones)

Directed Evolution Library

Even a large library -> (108 independent clones)
will

not exhaustively encode all possible single point mutations.
Requirements would be:
20N independend clones -> to have all possible variations in a library
(+ silent mutations)
N….. number of amino acids in the protein
For a small protein: -> Hen egg-white Lysozyme (129 aa; 14.6 kDa)
-> library with 20129 (7x 10168) independent clones
Consequence -> not all modifications possible
-> modifications just along an evolutionary path !!!!
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Limitation of Directed Evolution Evolutionary path must exist - > to

Limitation of Directed Evolution

Evolutionary path must exist - > to be

successful
Screening method must be available
-> You get (exactly) what you ask for!!!
-> need to be done in -> High throughput !!!
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Successful experiments involve generally less than 6 steps (cycles)!!! Why? Sequences

Successful experiments involve generally
less than 6 steps (cycles)!!!
Why?
Sequences with improved

properties are rather close to the parental sequence -> along a evolutionary path
2. Capacity of our present methods to generate novel functional sequences is rather limited -> requires huge libraries
⇒ Point Mutations !!!

Typical Directed Evolution Experiment

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Evolutionary Methods Non-recombinative methods: -> Oligonucleotide Directed Mutagenesis (saturation mutagenesis) ->

Evolutionary Methods

Non-recombinative methods:
-> Oligonucleotide Directed Mutagenesis (saturation mutagenesis)
-> Chemical

Mutagenesis, Bacterial Mutator Strains
-> Error-prone PCR
Recombinative methods -> Mimic nature’s recombination strategy
Used for: Elimination of neutral and deleterious mutations
-> DNA shuffling
-> Invivo Recombination (Yeast)
-> Random priming recombination, Staggered extention precess (StEP)
-> ITCHY
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Evolutionary Methods Type of mutation – Fitness of mutants Type of

Evolutionary Methods Type of mutation – Fitness of mutants

Type of mutations:
Beneficial mutations

(good)
Neutral mutations
Deleterious mutations (bad)
Beneficial mutations are diluted with neutral and deleterious ones
!!! Keep the number of mutations low per cycle
-> improve fitness of mutants!!!
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Random Mutagenesis (PCR based) with degenerated primers (saturation mutagenesis)

Random Mutagenesis (PCR based) with degenerated primers (saturation mutagenesis)

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Random Mutagenesis (PCR based) with degenerated primers (saturation mutagenesis)

Random Mutagenesis (PCR based) with degenerated primers (saturation mutagenesis)

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Random Mutagenesis (PCR based) Error –prone PCR -> PCR with low

Random Mutagenesis (PCR based) Error –prone PCR

-> PCR with low fidelity

!!!
Achieved by:
- Increased Mg2+ concentration
- Addition of Mn2+
- Not equal concentration of the four dNTPs
- Use of dITP
- Increasing amount of Taq polymerase (Polymerase with NO proof reading function)
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Random Mutagenesis (PCR based) DNA Shuffling DNase I treatment (Fragmentation, 10-50

Random Mutagenesis (PCR based) DNA Shuffling

DNase I treatment (Fragmentation, 10-50 bp,

Mn2+)

Reassembly (PCR without primers, Extension and Recombination)

PCR amplification

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Random Mutagenesis (PCR based) Family Shuffling Genes coming from the same

Random Mutagenesis (PCR based) Family Shuffling

Genes coming from the same gene

family -> highly homologous
-> Family shuffling
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Random Mutagenesis (PCR based)

Random Mutagenesis (PCR based)

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Directed Evolution Difference between non-recombinative and recombinative methods Non-recombinative methods recombinative methods -> hybrids (chimeric proteins)

Directed Evolution Difference between non-recombinative and recombinative methods

Non-recombinative methods

recombinative methods -> hybrids

(chimeric proteins)
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Protein Engineering What can be engineered in Proteins ? -> Folding

Protein Engineering

What can be engineered in Proteins ?
-> Folding (+Structure):
1. Thermodynamic

Stability
(Equilibrium between: Native ⇔ Unfolded state)
2. Thermal and Environmental Stability (Temperature, pH, Solvent, Detergents, Salt …..)
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Protein Engineering What can be engineered in Proteins ? -> Function:

Protein Engineering

What can be engineered in Proteins ?
-> Function:
1. Binding (Interaction

of a protein with its surroundings)
How many points are required to bind a molecule with high affinity?
Catalysis (a different form of binding – binding the transition state of a chemical reaction)
Increased binding to the transition state ⇒ increased catalytic rates !!!
Requires: Knowledge of the Catalytic Mechanism !!!
-> engineer Kcat and Km
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Protein Engineering Factors which contribute to stability: Hydrophobicity (hydrophobic core) Electrostatic

Protein Engineering

Factors which contribute to stability:
Hydrophobicity (hydrophobic core)
Electrostatic Interactions:

-> Salt Bridges
-> Hydrogen Bonds
-> Dipole Interactions
Disulfide Bridges
Metal Binding (Metal chelating site)
Reduction of the unfolded state entropy with
X → Pro mutations
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Protein Engineering Design of Thermal and Environmental stability: Stabilization of α-Helix

Protein Engineering

Design of Thermal and Environmental stability:
Stabilization of α-Helix Macrodipoles
Engineer

Structural Motifes (like Helix N-Caps)
Introduction of salt bridges
Introduction of residues with higher intrinsic properties for their conformational state (e.g. Ala replacement within a α-Helix)
Introduction of disulfide bridges
Reduction of the unfolded state entropy with
X → Pro mutations
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Protein Engineering - Applications Engineering Stability of Enzymes – T4 lysozyme -> S-S bonds introduction

Protein Engineering - Applications

Engineering Stability of Enzymes – T4 lysozyme

-> S-S

bonds introduction
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Protein Engineering - Applications Engineering Stability of Enzymes – triosephosphate isomerase

Protein Engineering - Applications

Engineering Stability of Enzymes – triosephosphate isomerase from

yeast

-> replace Asn (deaminated at high temperature)

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Protein Engineering - Applications Engineering Activity of Enzymes – tyrosyl-tRNA synthetase

Protein Engineering - Applications

Engineering Activity of Enzymes – tyrosyl-tRNA synthetase from

B. stearothermophilus

-> replace Thr 51 (improve affinity for ATP) -> Design

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Protein Engineering - Applications Engineering Ca-independency of subtilisin Saturation mutagenesis ->

Protein Engineering - Applications

Engineering Ca-independency of subtilisin

Saturation mutagenesis -> 7 out

of 10 regions were found to give increase of stability
Mutant:
10x more stable than native enzyme in absence of Ca
50% more stable than native in presence of Ca
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DNA shuffling JCohen. News note: How DNA shuffling works. Sci 293:237


DNA shuffling

JCohen. News note: How DNA shuffling works. Sci

293:237 (2001)
Maxygen, PCR without synthetic primers
Using family of related genes, digest into fragments
Heat and renature randomly
Use as PCR primers
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Altering multiple properties: rapid high-throughput screening ex., subtilisin Use 26 different


Altering multiple properties: rapid high-throughput screening

ex., subtilisin
Use 26 different

subtilisin genes
Shuffle DNA, construct library of 654 clones, and Tf B. subtilis
Assay in microtiter plates: originals plus clones
Activity at 23C; thermostability; solvent stability; pH dependence
Of 654 clones, 77 versions performed as well as or better than parents at 23C
Sequencing showed chimeras; one has 8 crossovers with 15 AAc substitutions
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Laundry, detergent and mushrooms Peroxidase, ink cap mushroom; dye transfer inhibitor


Laundry, detergent and mushrooms

Peroxidase, ink cap mushroom; dye transfer inhibitor
Wash

conditions: bleach-containing detergents, pH 10.5, 50C,
high peroxide concentration (inactivates peroxidase)
Random mutagenesis or error-prone PCR, followed by DNA shuffling
One construct had 114x increase in thermal stability, 2.8x increase in oxidative stability
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ex., Coprinus cinereus heme peroxidase (ink cap mushroom); 343 AAc, heme


ex., Coprinus cinereus heme peroxidase (ink cap mushroom); 343 AAc,

heme prosthetic group
Multiple rounds of directed evolution to generate mutant for dye transfer inhibitor in laundry detergent
Native form or WT is rapidly inactivated under laundry conditions at pH 10.5,
50C and high peroxide concentrations (5-10mM)
Combined mutants from site-directed and random mutagenesis led to mutant with
110x thermal stability, 2.8x oxidative stability
Additional in vivo shuffling of pt mutations -> 174x thermal stability and 100x oxidative stability
Cherry…Pedersen. 99. Nat Biotech “Directed evolution of a fungal peroxidase”

Mushroom peroxidase

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Molecular analysis of hybrid peroxidase

Molecular analysis of hybrid peroxidase

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Decreasing protein sensitivity Streptococcus streptokinase, 47 kDa protein that dissolves blood


Decreasing protein sensitivity

Streptococcus streptokinase, 47 kDa protein that dissolves blood

clots
Complexes with plasminogen to convert to plasmin, which degrades fibrin in clots
Plasmin also degrades streptokinase [feedback loop]
In practice, need to administer streptokinase as a 30-90 min infusion [heart attacks]
A long-lived streptokinase may be administered as a single injection

www-s.med.uiuc.edu; JMorrissey: Med Biochem 10/30/06

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Decreasing protein sensitivity Streptococcus streptokinase, plasmin sensitivity domain Attacks at Lys59


Decreasing protein sensitivity

Streptococcus streptokinase, plasmin sensitivity domain
Attacks at Lys59 and

Lys382, near each end of protein
Resultant 328 AAc peptide has ~16% activity
Mutate Lys to Gln
Gln has similar size/shape to Lys also no charge
Single mutations similar to double to native in binding and activating plasminogen;
In plasmin presence, half-lives increased with double as 21x more resistant to cleavage
TBD…(2003) longer life wanted
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Protein Engineering - Applications Site-directed mutagenesis -> used to alter a

Protein Engineering - Applications

Site-directed mutagenesis -> used to alter a single

property
Problem : changing one property -> disrupts another characteristics
Directed Evolution (Molecular breeding) -> alteration of multiple properties
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Protein Engineering – Applications Directed Evolution

Protein Engineering – Applications Directed Evolution

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Protein Engineering – Applications Directed Evolution

Protein Engineering – Applications Directed Evolution

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Protein Engineering – Applications Directed Evolution

Protein Engineering – Applications Directed Evolution

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Protein Engineering – Applications Directed Evolution

Protein Engineering – Applications Directed Evolution

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Protein Engineering – Directed Evolution

Protein Engineering – Directed Evolution

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Protein Engineering - Applications

Protein Engineering - Applications