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Model for DNA-less cell fate. Guillaume Garnier Team GO ParisSaclay - PowerPoint PPT Presentation

Introduction The mathematical Model The e ff ect of nucleases The phage infection References Model for DNA-less cell fate. Guillaume Garnier Team GO ParisSaclay 2019 Universit ParisSaclay 17 Septembre 2020 Guillaume Garnier Model


  1. Introduction The mathematical Model The e ff ect of nucleases The phage infection References Model for DNA-less cell fate. Guillaume Garnier Team GO Paris–Saclay 2019 Université Paris–Saclay 17 Septembre 2020 Guillaume Garnier Model for DNA-less cell fate.

  2. Introduction The mathematical Model The e ff ect of nucleases The phage infection References Introduction Guillaume Garnier Model for DNA-less cell fate.

  3. Introduction The mathematical Model The e ff ect of nucleases The phage infection References Intoduction Last year, Team Go Paris Saclay decided to work on free DNA cell. What are the consequences of destroying DNA within a cell? Could a DNA-less cell be still useful? Guillaume Garnier Model for DNA-less cell fate.

  4. Introduction The mathematical Model The e ff ect of nucleases The phage infection References Introduction An attempt was made to answer these questions with the help of a mathematical model We developed a model of DNA-less cell fate We started from an deterministic whole cell model [WODS15]. We modeled the absence of DNA as a stop to all transcription, and adapted the initial hypotheses of Weiße and al. (PNAS, 2015) Guillaume Garnier Model for DNA-less cell fate.

  5. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary Part I – The whole–cell dynamic Guillaume Garnier Model for DNA-less cell fate.

  6. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The nutrient quantity The variation of the nutrient quantity is depending on : ds i dt = v imp ( e t ,s ) − v cat ( e m ,s i ) − λs i , where v imp is the import rate of nutrient v t s v imp ( e t ,s ) = e t K t + s. v cat ( e m ,s i ) is the rate of transformation of nutrient in energy. v m s i v cat ( e m ,s i ) = e m , K m + s i λ is the dilution rate. Guillaume Garnier Model for DNA-less cell fate.

  7. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The energy quantity The variation of the energy quantity is depending on : da � dt = v cat ( e m ,s i ) − n x v x − λa, x where v cat ( e m ,s i ) is the rate of transformation of nutrient in energy. Hypothesis Here we made the approximation that energy use is only due to the translation process. Guillaume Garnier Model for DNA-less cell fate.

  8. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The RNA and ribosome quantities In this model, we have 2 types of ribosomes free ribosomes (not involved in a translation process) : r ribosomes bound to mRNAs (actively translating mRNA): c x . From this quantity depends the translation rate of a protein: v x = γ ( a ) c x , n x and where γ ( a ) is the e ff ective rate of protein elongation: γ ( a ) = γ max a K y + a. Guillaume Garnier Model for DNA-less cell fate.

  9. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The RNA and ribosome quantities It gives this equation for the pool of ’bound ribosomes’: dc x dt = k b m x r − k u c x − v x − λc x , where k b and k u denote the rates of binding and unbinding of a ribosome to an mRNA m ( x ) is the mRNA quantity encoding a protein x We also have an equation for the ’free-ribosomes’ pool: dr � dt = v r − λr + [ v x − k b m x r + k u c x ] . x Guillaume Garnier Model for DNA-less cell fate.

  10. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The RNA and ribosome quantities We can deduce from that a di ff erential equation for the mRNA quantity dm x = ω x ( a ) − k b m x r + k u c x + v x − d m m x − λm x , dt where ω x is the rate of transcription and x ∈ { e t ,e m ,r } : ω x = w x a θ x + a, w x is the maximal transcription rate and θ x is the threshold amount of energy at which transcription is half-maximal. Guillaume Garnier Model for DNA-less cell fate.

  11. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The protein quantity In this model we are considering 4 proteins quantities: ribosomes r transporter enzymes e t which import nutrient inside the bacteria metabolic enzymes e m which transform the nutrient in energy the house keeping protein quantity q , that doesn’t matter for the proper functioning of the model It gives these equations where x ∈ { e t ,e m ,q } : dx dt = v x − ( λ + d x ) x. To simplify we are considering d e t = d e m = d q where d x is a degradation rate. Guillaume Garnier Model for DNA-less cell fate.

  12. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary The dilution term The growth rate λ connect the cellular processes with growth. Hypothesis The total mass of the cell is defined as (Proteins + Ribosomes) � � M = n x x + n r c x . x x It follows that dM dt = γ ( a ) � x n x − λM − � x n x xd x . The mass of a bacteria is assume constant during the first part of the model dM dt = 0. λ = γ ( a ) � x n x − � x n x xd x . M Guillaume Garnier Model for DNA-less cell fate.

  13. The nutrient quantity Introduction The energy quantity The mathematical Model The RNA and ribosome quantities The e ff ect of nucleases The protein quantity The phage infection The dilution term References Summary Summary Figure: Scheme of the first part of the model Guillaume Garnier Model for DNA-less cell fate.

  14. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References Part II – The e ff ect of nucleases Guillaume Garnier Model for DNA-less cell fate.

  15. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References Modelling the e ff ect of nucleases Nucleases are enzymes degrading DNA. No DNA = ⇒ No Transcription So we had to set the values of all transcription rates to zero Guillaume Garnier Model for DNA-less cell fate.

  16. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References Modelling the e ff ect of nucleases Nucleases are enzymes degrading DNA. No DNA = ⇒ No Transcription So we had to set the values of all transcription rates to zero But the e ff ect of the nucleases is not instantaneous. It’s progressive. Therefore, instead of arbitrarily setting the transcription rates to 0 at the beginning of the simulation, we preferred to reduce them as: ω ′ x ( a,t ) = ω x ( a ) ∗ e − αt , where α is the e ff ect rate of the nuclease. Guillaume Garnier Model for DNA-less cell fate.

  17. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References Modelling the e ff ect of nucleases We compute α with our experiments, which permit to reduce of 99% the transcription rate after 15 min. Figure: A result of gDNA gel electrophoresis obtained by our team. We can observe that there is completely removed after 15 min Guillaume Garnier Model for DNA-less cell fate.

  18. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References What purpose for the model The principal purpose of the model is to evaluate the fate of DNA-less bacteria: how long are they still metabolically active? As they ca not divide, we decided to set λ = 0 . Guillaume Garnier Model for DNA-less cell fate.

  19. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References What purpose for the model Figure: Scheme of the second part of the model Guillaume Garnier Model for DNA-less cell fate.

  20. Introduction The mathematical Model Modelling the e ff ect of nucleases The e ff ect of nucleases What purpose for the model The phage infection Some results References Some results The total amount of ribosomes stop increasing Figure: The quantity of ribosomal RNA decreases Guillaume Garnier Model for DNA-less cell fate.

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