36 research outputs found
Calibration of the distribution of the pair-rule proteins Even-skipped and Fushi-tarazu in the Drosophila embryo
We modelled and calibrated the distributions of the seven-stripe patterns of
Even-skipped (\textit{Eve}) and Fushi-tarazu (\textit{Ftz}) pair-rule proteins
along the anteroposterior axis of the Drosophila embryo, established during
early development. The regulators of \textit{Eve} and \textit{Ftz} are
stripe-specific enhancers from the gap family of proteins and determine the
body structure of the \textit{Drosophila} larva. We achieved remarkable data
matching of the \textit{Eve} stripe pattern, and the calibrated model
reproduces gap gene mutation experiments. We have identified the putative
repressive combinations for five \textit{Eve} enhancers, and we have explored
the relationship between \textit{Eve} and \textit{Ftz} for complementary
patterns. Extended work inferring the Wingless (\textit{Wg}) fourteen stripe
pattern from \textit{Eve} and \textit{Ftz} enhancers has been proposed,
clarifying the hierarchical structure of \textit{Drosphila}'s genetic
expression network during early development before cellularisation.Comment: 15 pages, 10 figure
Equilibrium price dynamics in an overlapping-generations exchange economy
We present a continuous time overlapping generations model for an endowment Arrow-Debreu economy with an age-structured popu¬lation. For an economy with a balanced growth path, we prove that Arrow-Debreu equilibrium prices exist, and their dynamic properties are age-dependent. Our model allows for an explicit dependence of prices on critical age-specific endowment parameters. We show that, if endowments are distributed earlier than some critical age, then spec¬ulative bubbles for prices do exist
The Exact Value for European Options on a Stock Paying a Discrete Dividend
In the context of a Black-Scholes economy and with a no-arbitrage argument,
we derive arbitrarily accurate lower and upper bounds for the value of European
options on a stock paying a discrete dividend. Setting the option price error
below the smallest monetary unity, both bounds coincide, and we obtain the
exact value of the option.Comment: 14 pages,3 figure
The role of ion channels in the transmission of signals along axons
This work proposes a two-dimensional electrophysiological model for
describing neuronal responses to external electric stimuli under patch-clamped
conditions. Our proposed model successfully captures the key features of the
Hodgkin-Huxley model, while offering improved informativeness and numerical
efficiency.
By analysing bifurcation diagrams from various reduced models, we describe
the contributions of different ionic channels to the stability or instability
of the neurones' response. We also explore the influence of various cell
parameters in the neurone's spiking frequency, including the membrane
capacitance and the ionic channels' conductivities and Nerst potentials.
Additionally, we suggest a spatial model for the axon that effectively
simulates unidirectional signal transmission along neurons unaffected by
membrane potential perturbations. After analysing the characteristics of this
compartmental model, including the impact of intracellular resistance and
membrane capacitance on the signal's velocity, we observed considerable
discrepancies between our findings and those predicted by the cable equation
model for signal propagation.
Moreover, our investigation reveals that when the transmission of neuronal
signals occurs in multiple peaks, there is a transient variation in their
wavelength and frequency, resulting in different peak velocities. Furthermore,
our findings consistently demonstrate that the first peak - in some cases, the
only peak observed - maintains a relatively constant velocity along the axon
regardless of the stimulus intensity and is always faster than the subsequent
peaks.Comment: 40 pages, 48 figure
Calibration and validation of a genetic regulatory network model describing the production of the protein Hunchback in <i>Drosophila</i> early development
We fit the parameters of a differential equations model describing the
production of gap gene proteins Hunchback and Knirps along the antero-posterior
axis of the embryo of \emph{Drosophila}. As initial data for the differential
equations model, we take the antero-posterior distribution of the proteins
Bicoid, Hunchback and Tailless at the beginning of cleavage cycle 14. We
calibrate and validate the model with experimental data using single- and
multi-objective evolutionary optimization techniques. In the multi-objective
optimization technique, we compute the associated Pareto fronts. We analyze the
cross regulation mechanism between the gap-genes protein pair Hunchback-Knirps
and we show that the posterior distribution of Hunchback follow the
experimental data if Hunchback is negatively regulated by the Huckebein
protein. This approach enables to predict the posterior localization on the
embryo of the protein Huckebein, and we validate with the experimental data the
genetic regulatory network responsible for the antero-posterior distribution of
the gap gene protein Hunchback. We discuss the importance of Pareto
multi-objective optimization techniques in the calibration and validation of
biological models.Comment: 25 pages, 10 figure