PubMed Health⌕ Search

PubMed · 16040083

From funny current to current physiome.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Peter Kohl, Sylvain Richard. 2005-07-06. From funny current to current physiome.. https://doi.org/10.1016/j.pbiomolbio.2005.06.001

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

KEEP EXPLORING

Related citations

How fungi keep time: circadian system in Neurospora and other fungi.

The circadian system in Neurospora remains a premier model system for understanding circadian rhythms, and evidence has now begun to accumulate suggesting broad conservation of rhythmicity amongst the filamentous fungi. A well-described transcription-translation-based negative feedback loop involving the FREQUENCY, WHITE COLLAR-1 and WHITE COLLAR-2 proteins is integral to the Neurospora system. Recent advances include descriptions of the surprisingly complex frequency transcription unit, an enhanced appreciation of the roles of kinases and their regulation in the generation of the circadian rhythm and their links to the cell cycle, and strong evidence for an additional WHITE COLLAR-associated feedback loop. Documentation of sequence homologs of integral circadian and photoresponsive proteins amongst the 42 available sequenced fungal genomes suggests unexpected roles for circadian timing among both pathogens and saprophytes.

Biological Clocks↗

An anatomically based hybrid computational model of the human lung and its application to low frequency oscillatory mechanics.

Lung input impedance measured via forced oscillation over low frequency range has been confirmed as sensitive to the degree and the heterogeneity of lung disease. In this study we advanced an image-based, multi-scale computational model for the human lung, which includes upper and central airways, small airways and alveoli tissue unit. A three-dimensional (3-D) realistic model of the upper airway (reconstructed from MRI images) was combined with an anatomically based 3-D model of the central airways (based on MDCT images) to form a 3-D model of the large airways (from mouth to generation 6, incomplete for generations 4-6). The small airway trees distal to the central branches were based on a hypothetical airway tree for a normal healthy lung. A constant phase viscoelastic model was assumed for the alveolar tissue unit. Unsteady airflows in the large airways were simulated based on computational fluid dynamics (CFD). An experimentally measured broadband forcing flow was applied at the mouth. The impedance of the small airways was computed based on a one-dimensional transmission line model. The computed overall dynamic lung resistance and elastance compared very well with experimental values. Results showed that unsteady 3-D simulation and realistic geometry of the upper and large airways up to generations 4-6 can provide a reasonably accurate estimation of lung input impedance. The impedance of the upper airway constitutes a significant part of the total lung input impedance. The resistance of the upper airway accounts for 45-70% of the total lung resistance at frequencies between 0 and 1 Hz, and 70-81% at frequencies between 1 and 8 Hz.

Biological Clocks↗