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J Peccoud

Publications and source records attributed to J Peccoud.

9 recordsLinked to original sources
PubMed1999

Analysis of the stabilizing effect of Rom on the genetic network controlling ColE1 plasmid replication.

A stochastic model of ColE1 plasmid replication is presented. It is implemented by using UltraSAN, a simulation tool based on an extension of stochastic Petri nets (SPNs). It allows an exploration of the variation in plasmid number per bacterium, which is not possible using a deterministic model. In particular, the rate at which plasmid-free bacteria arise during bacterial division is explored in some detail since spontaneous plasmid loss is a widely observed empirical phenomenon. The rate of spontaneous plasmid loss provides an evolutionary explanation for the maintainance of Rom protein. The presence of Rom acts to reduce variance in plasmid copy number, thereby reducing the rate of plasmid loss at bacterial division. The ability of stochastic models to link biochemical function with evolutionary considerations is discussed.

Cell Division↗
PubMed1998

Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets.

An integrated understanding of molecular and developmental biology must consider the large number of molecular species involved and the low concentrations of many species in vivo. Quantitative stochastic models of molecular interaction networks can be expressed as stochastic Petri nets (SPNs), a mathematical formalism developed in computer science. Existing software can be used to define molecular interaction networks as SPNs and solve such models for the probability distributions of molecular species. This approach allows biologists to focus on the content of models and their interpretation, rather than their implementation. The standardized format of SPNs also facilitates the replication, extension, and transfer of models between researchers. A simple chemical system is presented to demonstrate the link between stochastic models of molecular interactions and SPNs. The approach is illustrated with examples of models of genetic and biochemical phenomena where the ULTRASAN package is used to present results from numerical analysis and the outcome of simulations.

Animals↗
PubMed1996

Theoretical uncertainty of measurements using quantitative polymerase chain reaction.

Current quantitative polymerase chain reaction (PCR) protocols are only indicative of the quantity of a target sequence relative to a standard, because no means of estimating the amplification rate is yet available. The variability of PCR performed on isolated cells has already been reported by several authors, but it could not be extensively studied, because of lack of a system for doing kinetic data acquisition and of statistical methods suitable for analyzing this type of data. We used the branching process theory to simulate and analyze quantitative kinetic PCR data. We computed the probability distribution of the offspring of a single molecule. We demonstrated that the rate of amplication has a severe influence on the shape of this distribution. For high values of the amplification rate, the distribution has several maxima of probability. A single amplification trajectory is used to estimate the initial copy number of the target sequence as well as its confidence interval, provided that the amplification is done over more than 20 cycles. The consequence of possible molecular fluctuations in the early stage of amplification is that small copy numbers result in relatively larger intervals than large initial copy numbers. The confidence interval amplitude is the theoretical uncertainty of measurements using quantitative PCR. We expect these results to be applicable to the data produced by the next generation of thermocyclers for quantitative applications.

Biometry↗
PubMed1990

Superantigens interact with MHC class II molecules outside of the antigen groove.

Superantigens, including the staphylococcal enterotoxins and the minor lymphocyte stimulatory antigens, are highly potent immunostimulatory molecules, capable of activating virtually all T cells that express particular T cell receptor (TCR) variable regions. Superantigen stimulation of T lymphocytes depends on major histocompatibility complex (MHC) class II molecules, so there has been some debate as to whether superantigens interact with the antigen binding "groove" on class II complexes, just like conventional peptide antigens, or whether they bind elsewhere and serve as TCR coligands. We compared the presentation of peptide antigens and superantigens by a panel of mutant-presenting cell lines, each displaying an A kappa alpha chain with a single alanine replacement along the alpha helix proposed to form one face of the groove. The negligible effect of these 30 mutations on superantigen presentation, versus their drastic consequences for peptide presentation, prompts us to conclude that superantigens interact with MHC class II molecules outside the groove.

Amino Acid Sequence↗
PubMed1990

Defects in antigen presentation of mutant influenza haemagglutinins are reversed by mutations in the MHC class II molecule.

A functional analysis was undertaken of the effects of mutating single amino acid residues in the alpha chain of the I-Ak molecule (to alanine; residues 50-79) on the ability of I-Ak transfectants to process and present influenza haemagglutinin to CD4+ T cell clones specific for two major antigenic sites of the HA1 subunit. In each instance, T cells were insensitive to a majority of substitutions in Ak with the exception of a few critical residues that differed for individual T cell clones. But more significantly, the failure of T cell clones to respond to mutant influenza viruses, containing drift substitutions within a T cell recognition site, in association with wild type I-Ak, could be reversed by single substitutions in Ak alpha. A T cell clone specific for HA1 120-139 failed to respond to a laboratory mutant virus (HA1 135 Gly----Arg) whereas optimal responses were observed with a mutant Ak transfectant (Ak alpha 56 Arg----Ala). Similarly, mutant transfectant 62 (Ak alpha 62 Gly----Ala) was able to present a natural variant virus A/TEX/77 to a T cell clone specific for HA1 48-67. We propose that Ak alpha 56 and Ak alpha 62 increase the affinity of association of mutant HA1 peptides for class II and therefore confer T cell recognition of variant viruses.

Amino Acid Sequence↗
PubMed1990

Delineation of antigen contact residues on an MHC class II molecule.

This report describes a detailed mutational analysis of a major histocompatibility complex class II molecule--the alpha chain of the Ak complex. Each residue from 50-79 was replaced by an alanine, and the effects on recognition of Ak by panels of antibodies and T cells determined. The results provide the strongest existing experimental evidence that the antigen binding site on a class II molecule can be modelled on the crystal structure of a class I molecule. The data have also permitted the delineation of residues that actually contact antigenic peptides.

Alanine↗
PubMed1989

Functional sites on the A alpha-chain. Polymorphic residues involved in antigen presentation to insulin-specific, Ab alpha:Ak beta-restricted T cells.

The interaction between the clonally selected TCR, the processed Ag peptide and the Ia molecule is not fully understood in molecular terms. Our study intended to delineate the residues of Ab alpha molecules that function as contact sites for Ag and for the TCR of a panel of T cells specific for the A chain of insulin in combination with mixed haplotype Ab alpha:Ak beta molecules. Multiple L cell transfectants expressing alpha,beta-heterodimers composed of wild-type A beta- and chimeric or mutant A alpha-chains served as antigen presenting cells. The recombinant A alpha-chains had been generated by an exchange of allelically hypervariable regions (ahv) or amino acids. The results point out a broad spectrum of b sequence requirements for the bovine insulin-specific activation of the various T cell populations. Activation of some T cells seemed quite permissive, requiring b-haplotype amino acids in any one of the three ahv, while others had strict requirements, demanding b-haplotype sequence in all three ahv. Our data stress the role of ahvII and especially ahvIII in T cell activation. Interestingly, single amino-acid substitutions in ahvII or ahvIII of Ak alpha were sufficient to bring up full stimulation potential for two T cell hybridomas. We also found that some ahv permutations influenced the Ag preference (beef insulin versus pig insulin) of some T cells. These data suggest a critical role for the three-dimensional structure of the complex formed by Ia and the processed Ag peptide. The stability of the trimolecular complex essential for T cell activation is envisioned as being the sum of the interactions between Ag/I-A, TCR/Ag, and TCR/I-A, each variable in strength and compensated for by the others.

Animals↗
PubMed1989

I-A alpha polymorphic residues that determine alloreactive T cell recognition.

An individual's T lymphocytes are highly reactive to allogeneic MHC molecules. As a step in deciphering the mechanism of allorecognition by T lymphocytes, we have attempted to identify the TCR's target on MHC class II molecules, in particular the polymorphic residues that determine the specificity of recognition. We have generated a panel of Ak-reactive, Ab-nonreactive T cell hybridomas, and sets of L cell transfectants displaying A alpha A beta molecules with wild-type, chimeric or single site-mutated A alpha chains, with reciprocal interchanges between Ak and Ab. We then measured the stimulation of the T hybridomas in response to the transfectants. The results indicate that the hybridomas recognize diverse and complex determinants, with contributions from both A alpha and A beta chains, and from several regions or amino acids of the A alpha chain. The data are most consistent with a model in which alloreactivity results from the presentation of peptides to the T cell by an allogeneic MHC molecule, peptides that cannot be presented by the responder's own MHC complexes. The specificity of allorecognition seems to be imparted mainly by peptide/MHC molecule rather than TCR/MHC molecule contacts.

Animals↗