Biomedical subjects

Adam P Arkin

Publications and source records attributed to Adam P Arkin.

41 records · Page 3Linked to original sources

PubMed2002

Overview of the Alliance for Cellular Signaling.

The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells--B lymphocytes (the cells of the immune system) and cardiac myocytes--to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community.

B-Lymphocytes↗

PubMed2002

Control, exploitation and tolerance of intracellular noise.

Noise has many roles in biological function, including generation of errors in DNA replication leading to mutation and evolution, noise-driven divergence of cell fates, noise-induced amplification of signals, and maintenance of the quantitative individuality of cells. Yet there is order to the behaviour and development of cells. They operate within strict parameters and in many cases this behaviour seems robust, implying that noise is largely filtered by the system. How can we explain the use, rejection and sensitivity to noise that is found in biological systems? An exploration of the sources and consequences of noise calls for the use of stochastic models.

Animals↗

PubMed2002

Functional profiling of the Saccharomyces cerevisiae genome.

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

Cell Size↗

PubMed2002

Genetic "code": representations and dynamical models of genetic components and networks.

Dynamical modeling of biological systems is becoming increasingly widespread as people attempt to grasp biological phenomena in their full complexity and make sense of an accelerating stream of experimental data. We review a number of recent modeling studies that focus on systems specifically involving gene expression and regulation. These systems include bacterial metabolic operons and phase-variable piliation, bacteriophages T7 and lambda, and interacting networks of eukaryotic developmental genes. A wide range of conceptual and mathematical representations of genetic components and phenomena appears in these works. We discuss these representations in depth and give an overview of the tools currently available for creating and exploring dynamical models. We argue that for modeling to realize its full potential as a mainstream biological research technique the tools must become more general and flexible, and formal, standardized representations of biological knowledge and data must be developed.

Animals↗

PubMed2002

Fifteen minutes of fim: control of type 1 pili expression in E. coli.

Pili are used by Escherichia coli to attach to and invade mammalian tissues during host infection and colonization. Expression of type 1 pili, believed to act as virulence factors in urinary tract infections, is under control of the 'firm' genetic network. This network is able to sense the environment and actuate phase variation control. It is a prime exemplar of an integrative regulatory system because of its role in mediating a complex infection process, and because it instantiates a number of regulatory motifs, including DNA inversion and stochastic variation. With the help of a mathematical model, we explore the mechanisms and architecture of the fim network. We explain (1) basic network operation, including the roles of the recombinase and global regulatory protein concentrations, their DNA binding affinities, and their switching rates in observed phase variation behavior; (2) why there are two recombinases when one would seem to suffice; (3) the source of on-to-off switching specificity of FimE; (4) the role of fimE orientational control in switch dynamics; and (5) how temperature tuning of piliation is achieved. In the process, we identify a general regulatory motif that tunes phenotype to an environmental variable, and explain a number of apparent experimental inconsistencies.

Escherichia coli↗