Differential dynamics of membrane proteins in yeast.
نویسندگان
چکیده
Lateral diffusion of lipids and proteins in yeast plasma membranes has been reported to be anomalously slow, and implicated as a possible reason for polarization in yeast. In order to gain insight into the observed slow diffusion in yeast membranes, we explored lateral diffusion of two proteins of different origin. We compared lateral dynamics of the Candida drug resistance protein-1 (Cdr1p), and the human serotonin(1A) receptor (5-HT(1A)R) by fluorescence recovery after photobleaching (FRAP). Our results show that while Cdr1p-GFP displays slow diffusion, the diffusion of 5-HT(1A)R-EYFP is significantly faster. Interestingly, upon ergosterol depletion, the mobility of Cdr1p-GFP did not exhibit appreciable change, while 5-HT(1A)R-EYFP mobility showed an increase. On the other hand, upon actin cytoskeleton destabilization, the mobile fraction of 5-HT(1A)R-EYFP showed considerable increase, while the mobility of Cdr1p-GFP was not altered. Our results represent the first report on the dynamics of the important drug resistance protein Cdr1p and provide novel insight on diffusion of membrane proteins in yeast membranes.
منابع مشابه
Arabidopsis leaf plasma membrane proteome using a gel free method: Focus on receptor–like kinases
The hydrophobic proteins of plant plasma membrane still remain largely unknown. For example in the Arabidopsis genome, receptor-like kinases (RLKs) are plasma membrane proteins, functioning as the primary receptors in the signaling of stress conditions, hormones and the presence of pathogens form a diverse family of over 610 genes. A limited number of these proteins have appeard in pr...
متن کاملDynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...
متن کاملDynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...
متن کاملDifferential protein expression in Mycobacterium tuberculosis susceptible and multidrug resistant isolates
Introduction: Infections by multidrug resistant Mycobacterium tuberculosis (MDR-TB) is a major public health challenge. Secretion of proteins by M. tuberculosis plays an important role in the pathogenesis of the bacterium. We compared the protein profiles of susceptible M. tuberculosis and MDR-TB isolates using proteomic analyses, namely two dimensional gel electrophoresis (2DE) and mass spectr...
متن کاملEfficient treatment of baker’s yeast wastewater using aerobic membrane bioreactor
A membrane bioreactor (MBR) system based on a dead-end immersed hollow fiber membrane and filamentous fungus Aspergillus oryzae were used for treatment of baker’s yeast wastewater. The fungus was adapted to the wastewater in the bioreactor for two weeks before starting the continuous process. Average organic loading rate of 4.2 kg COD/m3.d was entered the bioreactor. MBR system was able to redu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Biochemical and biophysical research communications
دوره 387 4 شماره
صفحات -
تاریخ انتشار 2009