scholarly journals Inferring Biological Mechanisms by Data-Based Mathematical Modelling: Compartment-Specific Gene Activation during Sporulation in Bacillus subtilis as a Test Case

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Dagmar Iber
Keyword(s):  
Bacillus Subtilis ◽  
Gene Activation ◽  
Experimental Information ◽  
Specific Gene ◽  
Model Parameters ◽  
Test Case ◽  
Detailed Model ◽  
Wide Range ◽  
Technical Advances ◽  
Biological Functionality

Biological functionality arises from the complex interactions of simple components. Emerging behaviour is difficult to recognize with verbal models alone, and mathematical approaches are important. Even few interacting components can give rise to a wide range of different responses, that is, sustained, transient, oscillatory, switch-like responses, depending on the values of the model parameters. A quantitative comparison of model predictions and experiments is therefore important to distinguish between competing hypotheses and to judge whether a certain regulatory behaviour is at all possible and plausible given the observed type and strengths of interactions and the speed of reactions. Here I will review a detailed model for the transcription factor , a regulator of cell differentiation during sporulation in Bacillus subtilis. I will focus in particular on the type of conclusions that can be drawn from detailed, carefully validated models of biological signaling networks. For most systems, such detailed experimental information is currently not available, but accumulating biochemical data through technical advances are likely to enable the detailed modelling of an increasing number of pathways. A major challenge will be the linking of such detailed models and their integration into a multiscale framework to enable their analysis in a larger biological context.

scholarly journals Generalized Integrate-and-Fire Models of Neuronal Activity Approximate Spike Trains of a Detailed Model to a High Degree of Accuracy

2004 ◽  
Vol 92 (2) ◽  
pp. 959-976 ◽  
Author(s):  
Renaud Jolivet ◽  
Timothy J. Lewis ◽  
Wulfram Gerstner
Keyword(s):  
Cortical Neurons ◽  
Direct Reduction ◽  
Spike Trains ◽  
Model Parameters ◽  
Detailed Model ◽  
Fire Model ◽  
Integrate And Fire ◽  
Fire Models ◽  
Wide Range ◽  
Simple Models

We demonstrate that single-variable integrate-and-fire models can quantitatively capture the dynamics of a physiologically detailed model for fast-spiking cortical neurons. Through a systematic set of approximations, we reduce the conductance-based model to 2 variants of integrate-and-fire models. In the first variant (nonlinear integrate-and-fire model), parameters depend on the instantaneous membrane potential, whereas in the second variant, they depend on the time elapsed since the last spike [Spike Response Model (SRM)]. The direct reduction links features of the simple models to biophysical features of the full conductance-based model. To quantitatively test the predictive power of the SRM and of the nonlinear integrate-and-fire model, we compare spike trains in the simple models to those in the full conductance-based model when the models are subjected to identical randomly fluctuating input. For random current input, the simple models reproduce 70–80 percent of the spikes in the full model (with temporal precision of ±2 ms) over a wide range of firing frequencies. For random conductance injection, up to 73 percent of spikes are coincident. We also present a technique for numerically optimizing parameters in the SRM and the nonlinear integrate-and-fire model based on spike trains in the full conductance-based model. This technique can be used to tune simple models to reproduce spike trains of real neurons.

The Florey Lecture, 1988 - From egg to embryo: the initiation of cell differentiation in Amphibia

1989 ◽  
Vol 237 (1286) ◽  
pp. 11-25 ◽  
Keyword(s):  
Muscle Cell ◽  
Gene Activation ◽  
Cell Formation ◽  
Gene Promoter ◽  
Cell Types ◽  
Specific Gene ◽  
Embryonic Induction ◽  
Differentiated Cells ◽  
Wide Range ◽  
Muscle Genes

Some of the principles by which different cell types first arise at the beginning of animal development are illustrated by muscle cell formation in Amphibia. If the nucleus of a differentiated muscle cell is transplanted to an enucleated egg, some of the resulting embryos develop into tadpoles with a wide range of normally differentiated cells. These experiments show that genes undergo major changes in activity as a response to components of egg cytoplasm. Two fundamental mechanisms account for the regional activation of genes in early embryos. One involves the effect of localized ‘determinants’ in egg cytoplasm, and the other concerns cell interactions or embryonic induction. Both these mechanisms seem to be responsible for muscle cell formation in amphibian development. The old problem of embryonic induction has recently become accessible to analysis at the molecular level, especially in the case of the mesoderm or muscle-forming induction. This has been greatly facilitated by using a sensitive and quantitative assay to detect the first transcripts of muscle genes a few hours after the start of induction. The role of early events and of interactions among like cells during response to induction is discussed. In analysing specific gene activation following induction, DNA injection into fertilized eggs has shown that a very small part of the cardiac actin gene promoter is sufficient to enable it to respond to induction. Although the experimental work summarized here has been done on amphibian embryos, which are more suitable than other embryos for embryological manipulation, the conclusions reached are believed to be generally applicable to the development of other organisms.

scholarly journals Genetic Analysis of Bacillus subtilis spo Mutations Generated by Tn917-Mediated Insertional Mutagenesis

Genetics ◽  
1987 ◽  
Vol 117 (4) ◽  
pp. 603-617
Author(s):  
Kathleen Sandman ◽  
Richard Losick ◽  
Philip Youngman
Keyword(s):  
Bacillus Subtilis ◽  
Genetic Analysis ◽  
Insertional Mutagenesis ◽  
Gene Activation ◽  
Phenotypic Characterization ◽  
Specific Gene ◽  
Developmentally Regulated ◽  
Gene Sets ◽  
Phenotypic Tests ◽  
Or Genes

ABSTRACT Mutations that cause sporulation defects (spo mutations) often identify developmentally regulated transcription units or genes whose products are required for the expression of sporulation-specific regulons. We report here the isolation, genetic analysis and phenotypic characterization of spo mutations produced by insertional mutagenesis with transposon Tn917, a form of mutagenesis that facilitates genetic and physical manipulation of mutated genes in many ways. Twenty-four insertional $10 mutations were studied in detail. On the basis of transformation-mediated and transductionmediated linkage analysis and a range of phenotypic tests, these mutations were assigned to 20 distinct loci, at least 9 of which are different from the 40 previously described spo loci. The insertional mutations caused blocks at a variety of different stages of sporulation, and therefore probably identify genes active at different times during sporulation. In addition to increasing substantially the total of known spo loci, we anticipate that this collection will include representatives of many of the temporally regulated sets of genes that comprise the overall program of sporulation-specific gene activation in Bacillus subtilis. Given the kinds of manipulations that are possible with genes disrupted by Tn917 insertions, this should significantly facilitate efforts to understand the regulation of these gene sets.

Application of the Innovative and Non-Invasive Technique, Molecular Music Therapy (MMT), Bio-Frequency Therapy, for the Treatment of a Wide Range of Disorders and Pathologies, with Consequent Verification of Molecular Parameters by Using Bi-Digital O-Ring Test (BDORT)

2020 ◽  
Vol 44 (3) ◽  
pp. 177-189
Author(s):  
Momir Dunjic ◽  
Stefano Turini ◽  
Dejan Krstic ◽  
Katarina Dunjic ◽  
Marija Dunjic ◽  
...  
Keyword(s):  
Amino Acid ◽  
Music Therapy ◽  
Amino Acid Sequences ◽  
Sirtuin 1 ◽  
Ring Test ◽  
Invasive Technique ◽  
Specific Gene ◽  
Radiofrequency Therapy ◽  
Wide Range ◽  
Clinical Pictures

Radiofrequency therapy is an unconventional method, already applied for some time, with numerous results in numerous clinical pictures. Our group has developed a software, later called SONGENPROT-SOLARIS, capable of directly converting nucleotide sequences (DNA and/or RNA) and amino acid sequences (polypeptides and proteins) into musical sequences, based on mathematic matrices, designed by the French physicist and musician Joel Sternheimer, which allows to associate a musical note with a nucleotide or an amino acid. Innovation in our software is that, in the algorithm that defines it, a variant is directly implemented that allows the reproduction of sounds, phase-shifted by 30 Hz, between one ear and another reproducing the phenomenon of Binaural Tones, capable of induce a specific brain activity and also the release of particles called solitons. Thanks to this software we have developed a technique called MMT (Molecular Music Therapy) and currently, we are in the phase of applying the technique on a cohort of 91 patients, with a high spectrum of clinical pictures, examining the same, using the technique Bi-Digital-ORing-Test (BDORT), before and after treatment with MMT. Aim of project is to stimulate the expression of a specific gene (the same genetic sequence that the patient listens to, translated into music), only through the use of sound sequences. We have concentrated our attention on three main molecules: Sirtuin-1, Telomers and TP-53. The results obtained with BDORT, after treatment with MMT, showed a significant increase in the values of the three molecules, on all the examined patients, demonstrating the operative efficacy of the technique and the its applicability to numerous diseases. In order to confirm the data obtained by BDORT, we propose, with the help of an accredited laboratory, to perform epigenetic tests on the three parameters listed above, paving the way to understanding how frequencies can influence gene expression.

scholarly journals Inferring Linkage Disequilibrium Between a Polymorphic Marker Locus and a Trait Locus in Natural Populations

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 457-467 ◽  
Author(s):  
Z W Luo ◽  
S H Tao ◽  
Z-B Zeng
Keyword(s):  
Linkage Disequilibrium ◽  
Allele Frequency ◽  
Random Mating ◽  
Natural Populations ◽  
Polymorphic Marker ◽  
Marker Locus ◽  
Model Parameters ◽  
Phenotypic Variance ◽  
Wide Range ◽  
Trait Locus

Abstract Three approaches are proposed in this study for detecting or estimating linkage disequilibrium between a polymorphic marker locus and a locus affecting quantitative genetic variation using the sample from random mating populations. It is shown that the disequilibrium over a wide range of circumstances may be detected with a power of 80% by using phenotypic records and marker genotypes of a few hundred individuals. Comparison of ANOVA and regression methods in this article to the transmission disequilibrium test (TDT) shows that, given the genetic variance explained by the trait locus, the power of TDT depends on the trait allele frequency, whereas the power of ANOVA and regression analyses is relatively independent from the allelic frequency. The TDT method is more powerful when the trait allele frequency is low, but much less powerful when it is high. The likelihood analysis provides reliable estimation of the model parameters when the QTL variance is at least 10% of the phenotypic variance and the sample size of a few hundred is used. Potential use of these estimates in mapping the trait locus is also discussed.

scholarly journals Antifungal Activity of Propyl Disulfide from Neem (Azadirachta indica) in Vapor and Agar Diffusion Assays against Anthracnose Pathogens (Colletotrichum gloeosporioides and Colletotrichum acutatum) in Mango Fruit

2021 ◽  
Vol 9 (4) ◽  
pp. 839
Author(s):  
Muhammad Rafiullah Khan ◽  
Vanee Chonhenchob ◽  
Chongxing Huang ◽  
Panitee Suwanamornlert
Keyword(s):  
Antifungal Activity ◽  
Mycelial Growth ◽  
Colletotrichum Gloeosporioides ◽  
Colletotrichum Acutatum ◽  
Model Parameters ◽  
Pathogenicity Test ◽  
Agar Diffusion ◽  
Wide Range ◽  
Significant Difference ◽  
Diffusion Assay

Microorganisms causing anthracnose diseases have a medium to a high level of resistance to the existing fungicides. This study aimed to investigate neem plant extract (propyl disulfide, PD) as an alternative to the current fungicides against mango’s anthracnose. Microorganisms were isolated from decayed mango and identified as Colletotrichum gloeosporioides and Colletotrichum acutatum. Next, a pathogenicity test was conducted and after fulfilling Koch’s postulates, fungi were reisolated from these symptomatic fruits and we thus obtained pure cultures. Then, different concentrations of PD were used against these fungi in vapor and agar diffusion assays. Ethanol and distilled water were served as control treatments. PD significantly (p ≤ 0.05) inhibited more of the mycelial growth of these fungi than both controls. The antifungal activity of PD increased with increasing concentrations. The vapor diffusion assay was more effective in inhibiting the mycelial growth of these fungi than the agar diffusion assay. A good fit (R2, 0.950) of the experimental data in the Gompertz growth model and a significant difference in the model parameters, i.e., lag phase (λ), stationary phase (A) and mycelial growth rate, further showed the antifungal efficacy of PD. Therefore, PD could be the best antimicrobial compound against a wide range of microorganisms.

scholarly journals A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Karim El-Laithy ◽  
Martin Bogdan
Keyword(s):  
Reinforcement Learning ◽  
Spike Timing ◽  
Neural Representation ◽  
Model Parameters ◽  
Learning Framework ◽  
Reference Target ◽  
Wide Range ◽  
Spiking Network ◽  
Dynamic Synapses ◽  
Exclusive Or

An integration of both the Hebbian-based and reinforcement learning (RL) rules is presented for dynamic synapses. The proposed framework permits the Hebbian rule to update the hidden synaptic model parameters regulating the synaptic response rather than the synaptic weights. This is performed using both the value and the sign of the temporal difference in the reward signal after each trial. Applying this framework, a spiking network with spike-timing-dependent synapses is tested to learn the exclusive-OR computation on a temporally coded basis. Reward values are calculated with the distance between the output spike train of the network and a reference target one. Results show that the network is able to capture the required dynamics and that the proposed framework can reveal indeed an integrated version of Hebbian and RL. The proposed framework is tractable and less computationally expensive. The framework is applicable to a wide class of synaptic models and is not restricted to the used neural representation. This generality, along with the reported results, supports adopting the introduced approach to benefit from the biologically plausible synaptic models in a wide range of intuitive signal processing.

scholarly journals Modelling the Inflation and Elastic Instabilities of Rubber-Like Spherical and Cylindrical Shells Using a New Generalised Neo-Hookean Strain Energy Function

2021 ◽  
Author(s):  
Afshin Anssari-Benam ◽  
Andrea Bucchi ◽  
Giuseppe Saccomandi
Keyword(s):  
Experimental Data ◽  
Energy Function ◽  
Limit Point ◽  
Strain Energy ◽  
Cylindrical Shells ◽  
Strain Energy Function ◽  
Model Parameters ◽  
Wide Range ◽  
Cylindrical Tubes ◽  
Gent Model

AbstractThe application of a newly proposed generalised neo-Hookean strain energy function to the inflation of incompressible rubber-like spherical and cylindrical shells is demonstrated in this paper. The pressure ($P$ P ) – inflation ($\lambda $ λ or $v$ v ) relationships are derived and presented for four shells: thin- and thick-walled spherical balloons, and thin- and thick-walled cylindrical tubes. Characteristics of the inflation curves predicted by the model for the four considered shells are analysed and the critical values of the model parameters for exhibiting the limit-point instability are established. The application of the model to extant experimental datasets procured from studies across 19th to 21st century will be demonstrated, showing favourable agreement between the model and the experimental data. The capability of the model to capture the two characteristic instability phenomena in the inflation of rubber-like materials, namely the limit-point and inflation-jump instabilities, will be made evident from both the theoretical analysis and curve-fitting approaches presented in this study. A comparison with the predictions of the Gent model for the considered data is also demonstrated and is shown that our presented model provides improved fits. Given the simplicity of the model, its ability to fit a wide range of experimental data and capture both limit-point and inflation-jump instabilities, we propose the application of our model to the inflation of rubber-like materials.

scholarly journals Not Just Transporters: Alternative Functions of ABC Transporters in Bacillus subtilis and Listeria monocytogenes

2021 ◽  
Vol 9 (1) ◽  
pp. 163
Author(s):  
Jeanine Rismondo ◽  
Lisa Maria Schulz
Keyword(s):  
Bacillus Subtilis ◽  
Listeria Monocytogenes ◽  
Abc Transporters ◽  
Organic Molecules ◽  
Atp Hydrolysis ◽  
The Past ◽  
Wide Range ◽  
Regulatory Functions ◽  
Complex Organic ◽  
Detoxification Mechanisms

ATP-binding cassette (ABC) transporters are usually involved in the translocation of their cognate substrates, which is driven by ATP hydrolysis. Typically, these transporters are required for the import or export of a wide range of substrates such as sugars, ions and complex organic molecules. ABC exporters can also be involved in the export of toxic compounds such as antibiotics. However, recent studies revealed alternative detoxification mechanisms of ABC transporters. For instance, the ABC transporter BceAB of Bacillus subtilis seems to confer resistance to bacitracin via target protection. In addition, several transporters with functions other than substrate export or import have been identified in the past. Here, we provide an overview of recent findings on ABC transporters of the Gram-positive organisms B. subtilis and Listeria monocytogenes with transport or regulatory functions affecting antibiotic resistance, cell wall biosynthesis, cell division and sporulation.

Sign in / Sign up

Export Citation Format

Share Document