Towards DNA sequencing by force Josep Maria Huguet, Núria Forns, Fèlix Ritort Small Biosystems Lab, Facultat de Física, UB

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Presentation transcript:

Towards DNA sequencing by force Josep Maria Huguet, Núria Forns, Fèlix Ritort Small Biosystems Lab, Facultat de Física, UB Steve B. Smith, Carlos Bustamante Bustamante Lab UPoN 2008, Lyon, June

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Structure of DNA 4 different types of complementary bases (A) Adenine (C) CytosineA - T (G) GuanineC - G (T) Thymine... ATGCTGCGAAACTTTGGCTGA... Met Leu Arg Asn Phe Gly Stop 4 bases 64 codons 20 aminoacids Protein Structure, function Cell needs access to genetic information -Transcription & translation (syntesis of proteins) -Replication (duplication of DNA) Both strands of DNA must be separated to get to the bases Strands Bases DNA double helix UNZIPPING Genetic information Watson J. & Crick F. (1953). Nature 171 (4356)

Motivation Can we infer the DNA sequence by force? F F UNZIPPING We need a suitable experimental setup to perform DNA unzipping

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Optical tweezers A focused laser beam produces an optical trap Light is deflected when a force is applied We can apply and measure forces and distances pN0.1 pN resolution 0-10  m 5 nm resolution 1 m1 m Ashkin, A. "Phys. Rev. Lett. 24, ", (1970)

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Experimental setup UNZIPPING: Pulling apart both strands of dsDNA from the same end Molecule Experimental setup 1m1m Bockelmann et. al., Biophys. J.:82: (2002)

Force vs. Distance Curves (FDC) - Pulling cycles. Folding-unfolding curves - Force vs. Total distances curves (FDC) - Slow pulling rate (5-25 nm/s). Close-to-equilibrium FDC Raw data Averaged data (Running Average) Sawtooth-like shape

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Description of the model Potential energy of the bead in the trap Elastic energy of the handles Elastic energy the released ssDNA Nearest-neighbour (NN) energy of the DNA molecule ssDNA – Freely Jointed Chain dsDNA – Worm Like Chain Bead in the trap – harmonic potential S. Cocco et. al., PNAS:98: (2002)

NN model and FDC --A-A-- --T-T-- --A-C-- --T-G-- --A-G-- --T-C-- --A-T-- --T-A-- --C-A-- --G-T-- --C-C-- --G-G-- --C-G-- --G-C-- --C-T-- --G-A-- --C-T-- --G-C-- --C-G-- --G-G-- --C-C-- --G-T-- --C-A-- --T-A-- --A-T-- --T-C-- --A-G-- --T-G-- --A-C-- --T-T-- --A-A-- DNA parameters The energy of DNA determined by the sequence where  i is the energy to open the i th base pair Total energy of the system (energy landscape) Equilibrium FDC

Unzipping mechanism DNA energy Elastic energy DNA energy Elastic energy When elastic energy is too high, new base pairs are open

Outline Introduction Optical tweezers Experiments Model Results Conclusions

Comparison with experiments M-fold is a web server that provides the stacking energies of DNA J. Santalucia, Jr., PNAS:95: (1998) Direct Reverse 6 kbps

Comparison with experiments M-fold is a web server that provides the stacking energies of DNA J. Santalucia, Jr., PNAS:95: (1998) --A-A-- --T-T-- --A-C-- --T-G-- --A-G-- --T-C-- --A-T-- --T-A-- --C-A-- --G-T-- --C-C-- --G-G-- --C-G-- --G-C-- --C-T-- --G-A-- --C-T-- --G-C-- --C-G-- --G-G-- --C-C-- --G-T-- --C-A-- --T-A-- --A-T-- --T-C-- --A-G-- --T-G-- --A-C-- --T-T-- --A-A-- DNA parameters

Correcting the energies -Correction of the 10 DNA stacking energies -Similar values, but corrected up to 10% -Corrections have different signs Només MFOLD!

Correcting the energies -Correction of the 10 DNA stacking energies -Similar values, but corrected up to 10% -Corrections have different signs

Avalanche detection

Avalanche analysis

Detection of intermediate states

We want to know the number of open base pairs at each experimental measure. How to detect states in such noise data?

Avalanche analysis More Zoom...

Detection of intermediate states All possible states of the system are caracterized by the total distance and the number of open basepairs (x tot, n) x tot is given the point. We select the most probable state (n) for each experimental point. The most probable state is the theoretical state that passes closest to the experimental point.

Detection of intermediate states

Avalanche analysis

Avalanche distribution function Experimentally we cannot see avalanches smaller than 10 base pairs. The sequencing by force is still an experimental challenge.

Conclusions We have inferred DNA thermodynamics using optical tweezers and performing single molecule experiments. The NN model is useful to extract information about the intermediate states from the experimental noise measurements. Sequencing DNA by force is not possible yet Cooperative avalanches (intrinsic mechanism) Experimental resolution (10 bps)