• Introduction
  • Home
  • The Team
  • Photo Gallery
• Our Project
  • Results Summary
  • Selection System
  • In-Vitro Characterization
  • In-Vivo Characterization
  • Microfluidics
  • Data
  • Attributions
• Tools
  • Gibson Assembly
  • MITOMI
• Notebook
  • Protocols
  • May
  • June
  • July
  • August
  • September
  • October
• Considerations
  • Human Practices
  • Safety
• Acknowledgements
  • Sponsors
  • Partners

MITOMI Data

To find out more about the MITOMI method of characterization, please click here.

The raw data from the successful experiments can be found here.

Wildtype TetR

In Vitro Characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR V36F mutant. To do so, we first designed and generated the library of double stranded DNA sequences that cover all possible single base substitutions within the TetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the Tet operator sequence (expressed as a PWM).

The WebLogo we obtained:

Workman CT, Yin Y, Corcoran DL, Ideker T, Stormo GD, Benos PV. enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 2005 Jul 1;33:W389-92.

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG (kcal/mol), compared to the reference sequence upon the substitution of the indicated nucleotide at a certain position within the target DNA element. Values are indicated in kcal/mol.

We compared the measured DNA binding affinities of the V36F mutant to the affinities obtained for the wt-TetR and found that the V36F mutant interacts with the TetO as strong as the wild-type variant.

Mutant TetRs

V36F

BBa_K613013

In Vitro Characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR V36F mutant. To do so, first we designed and generated the library of double stranded DNA sequences that cover all possible single base substitution within the tetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the tet operator sequence (expressed as a PWM).

The WebLogo we obtained for the V36F mutant:

Workman CT, Yin Y, Corcoran DL, Ideker T, Stormo GD, Benos PV. enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 2005 Jul 1;33:W389-92.

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG (kcal/mol), compared to the reference sequence upon the substitution to the indicated nucleotide at certain position within the target DNA element. Values are indicated in kcal/mol.

We compared the measured DNA binding affinities of the V36F mutant to the affinities obtained for the wt-TetR and found that V36F mutant interacts with the TetO as strongly as the wild-type variant.

E37A W43S T141A

BBa_K613015

In Vitro Characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR E37A W43S T141A mutant. To do so, first we designed and generated the library of double stranded DNA sequences that cover all possible single base substitution within the tetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the tet operator sequence (expressed as a PWM).

The WebLogo we obtained for the E37A W43S T141A mutant:

Workman CT, Yin Y, Corcoran DL, Ideker T, Stormo GD, Benos PV. enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 2005 Jul 1;33:W389-92.

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG, compared to the reference sequence upon the substitution to the indicated nucleotide at certain position within the target DNA element. Values are indicated in kcal/mol.

P39K

BBa_K613016

In vitro characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR P39K mutant. To do so, first we designed and generated the library of double stranded DNA sequences that cover all possible single base substitution within the tetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the tet operator sequence (expressed as a PWM).

WebLogo we obtained for the P39K mutant:

Workman CT, Yin Y, Corcoran DL, Ideker T, Stormo GD, Benos PV. enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 2005 Jul 1;33:W389-92.

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG, compared to the reference sequence upon the substitution to the indicated nucleotide at certain position within the target DNA element. Values are indicated in kcal/mol.

Y42F

BBa_K613017

In vitro characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR Y42F mutant. To do so, first we designed and generated the library of double stranded DNA sequences that cover all possible single base substitution within the tetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the tet operator sequence (expressed as a PWM). For the Y42F mutant we observed the decrease of the specificity compared to the wild-type tetR sequence.

WebLogo we obtained for the Y42F mutant:

Workman CT, Yin Y, Corcoran DL, Ideker T, Stormo GD, Benos PV. enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 2005 Jul 1;33:W389-92.

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG, compared to the reference sequence upon the substitution at the indicated nucleotide at a certain position within the target DNA element. Values are indicated in kcal/mol.

P39Q Y42M

BBa_K613019

In vitro characterization

Using the MITOMI technique we determined the DNA binding landscape of the TetR P39Q Y42M mutant. To do so, first we designed and generated the library of double stranded DNA sequences that cover all possible single base substitution within the tetO operator sequence. Based on that library we measured the dissociation constants of the mutant to variable tetO-like sequences and determined the specificity of the mutant to the tet operator sequence (expressed as a PWM). For the P39Q Y42M mutant we observed the decrease of the specificity compared to the wild-type tetR sequence.

WebLogo we obtained for the P39Q Y42M mutant:

Position Weight Matrix

Each row represents the changes in binding energy, ΔΔG, compared to the reference sequence upon the substitution to the indicated nucleotide at certain position within the target DNA element. Values are indicated in kcal/mol.

Uncharacterized Mutant TetRs

Unfortunately we did not have time to finish the characterization of the following parts:

Y42F K108E

BBa_K613018

V36F W43S

BBa_K613014

P39Q Y42M L197S

BBa_K613020

P39Q Y42M L52P

BBa_K613021

E37A P39K

BBa_K61302

E37A P39Q Y42F

BBa_K613023