Search PubMedSearch

PubMed · 9342304

Functional bioinformatics: the cellular response database.

Abstract

Biological Scientists function in an increasingly data rich environment. The emerging field of bioinformatics is attempting to insure that this flow of information can be structured to support the generation of significant biological hypothesis and ultimately new knowledge. To date, most of the current databases have focused on protein and nucleic acid sequence information as the principle type of data stored for further interpretation. In this paper, we describe the Cellular Response Database. This database stores functional information regarding the changes of cellular gene expression associated with various stimuli, and supports queries linking cell types, expressed genes, and inducers. The database is designed to support information-intensive queries to aid in the determination of biological function, and is flexible enough to allow the storage of a broad range of experimental data such as cytotoxicity data, immunoassays of target gene protein expression, and others.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Sorace, K Canfield, S Russell. 1997-11-01. Functional bioinformatics: the cellular response database.. https://doi.org/10.2741/a160

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Self-organizing molecular networks.

Strong diffusional mixing and short delivery times typical for micrometer and sub-micrometer reaction volumes lead to a special situation where the turnover times of individual enzyme molecules become the largest characteristic time scale of the chemical kinetics. Under these conditions, populations of cross-regulating allosteric enzymes form molecular networks that exhibit various kinds of self-organized coherent collective dynamics.

Cell Physiological Phenomena

A unified resistor-capacitor model for impedance, dielectrophoresis, electrorotation, and induced transmembrane potential.

Dielectric properties of suspended cells are explored by analysis of the frequency-dependent response to electric fields. Impedance (IMP) registers the electric response, and kinetic phenomena like orientation, translation, deformation, or rotation can also be analyzed. All responses can generally be described by a unified theory. This is demonstrated by an RC model for the structural polarizations of biological cells, allowing intuitive comparison of the IMP, dielectrophoresis (DP), and electrorotation (ER) methods. For derivations, cells of prismatic geometry embedded in elementary cubes formed by the external solution were assumed. All geometrical constituents of the model were described by parallel circuits of a capacitor and a resistor. The IMP of the suspension is given by a meshwork of elementary cubes. Each elementary cube was modeled by two branches describing the current flow through and around the cell. To model DP and ER, the external branch was subdivided to obtain a reference potential. Real and imaginary parts of the potential difference of the cell surface and the reference reflect the frequency behavior of DP and ER. The scheme resembles an unbalanced Wheatstone bridge, in which IMP measures the current-voltage behavior of the feed signal and DP and ER are the measuring signal. Model predictions were consistent with IMP, DP, and ER experiments on human red cells, as well as with the frequency dependence of field-induced hemolysis. The influential radius concept is proposed, which allows easy derivation of simplified equations for the characteristic properties of a spherical single-shell model on the basis of the RC model.

Cell Physiological Phenomena