Dataset Information

Fuss2006_MitoticActivation

ABSTRACT: The model was curated with XPP. The figure 3 was successfully reproduced.

SUBMITTER: Hendrik Fuß

PROVIDER: BIOMD0000000069 | BioModels | 2024-09-02

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	BIOMD0000000069?filename=BIOMD0000000069-biopax2.owl	Owl
	BIOMD0000000069?filename=BIOMD0000000069-biopax3.owl	Owl
	BIOMD0000000069?filename=BIOMD0000000069-matlab.m	Other
	BIOMD0000000069?filename=BIOMD0000000069-octave.m	Other
	BIOMD0000000069?filename=BIOMD0000000069.m	Other

Items per page:

1 - 5 of 17

Publications

Bistable switching and excitable behaviour in the activation of Src at mitosis.

Fuss Hendrik H Dubitzky Werner W Downes Stephen S Kurth Mary Jo MJ

Bioinformatics (Oxford, England) 20060701 14

<h4>Motivation</h4>The protein tyrosine kinase Src is involved in a multitude of biochemical pathways and cellular functions. A complex network of interactions with other kinases and phosphatases obscures its precise mode of operation.<h4>Results</h4>We have constructed a semi-quantitative computational dynamic systems model of the activation of Src at mitosis based on protein interactions described in the literature. Through numerical simulation and bifurcation analysis we show that Src regulat ...[more]

PMID: 16873466

Similar Datasets

Project description:Ten healthy male participants were recruited and successfully completed all preliminary testing and the two exercise bouts (Figure 1A). This randomized crossover design permitted signaling responses to workload- and duration-matched HIIT and MICT exercise to be mapped and interrogated within the same participant. Baseline whole-body anthropometric and blood glucose and lipid measurements confirmed these participants (age 25.4 ± 3.2 y; BMI 23.5 ± 1.6 kg/m2) were metabolically healthy, and maximal exercise capacity testing confirmed they were recreationally active but relatively untrained (relative V̇O2 peak 37.9 ± 5.2) in line with our recruitment strategy to maximize detection of skeletal muscle signaling responses to exercise (Figure 1B). Peak power output (Wpeak; 207.5 ± 40.3 W) was used to prescribe the relative work-matched intensities for HIIT and MICT. Lean mass from the DXA scan and resting metabolic rate (Figure 1B) were used to prescribe a standardized meal for each participant to consume prior to each exercise trial day. Following consumption of a standardized dinner meal the night before the HIIT or MICT exercise trial, blood and skeletal muscle biopsy samples were collected in the fasted state at baseline and at 5 min and 10 min of each respective exercise intensity. Participants completing the acute bout of HIIT, which consisted of 10 min total of 1-min ‘on’ intervals at 85 ± 0.1% of individual Wpeak (176 ± 34 W) and 1-min ‘off’ intervals at 50 W, displayed increased plasma lactate concentrations at 5 and 10 min of exercise relative to pre-exercise baseline (Figure 1C; P < 0.0001 and P < 0.001, respectively; main effect of time P < 0.0001) and no changes in plasma glucose (Figure 1D). In response to total work- and duration-matched acute bout of MICT at 55 ± 2% individual Wpeak (113 ± 17 W), participants displayed increased plasma lactate concentrations at 5 and 10 min of exercise versus baseline (Figure 1C; P < 0.001; main effect of time P < 0.0001) and no changes in plasma glucose (Figure 1D), with a main effect of higher plasma lactate levels in response to HIIT (Figure 1C; P < 0.05). To map the signaling networks regulated by HIIT and MICT, proteins from each skeletal muscle biopsy sample were extracted, digested to peptides with trypsin, isobarically labelled prior to phosphopeptide enrichment, fractionation and LC-MS/MS phosphoproteomic analysis (Figure 2A).