Monitoring the growth and stress responses of yeast cells by two-dimensional fluorescence spectroscopy: First results

2003 ◽  
Vol 48 (2) ◽  
pp. 189-192 ◽  
Author(s):  
O. Podrazký ◽  
G. Kuncová ◽  
A. Krasowska ◽  
K. Sigler
Keyword(s):  
Fluorescence Spectroscopy ◽  
Stress Responses ◽  
Yeast Cells ◽  
Two Dimensional ◽  
First Results

scholarly journals Composite patterns in neutral/neutral two-dimensional gels demonstrate inefficient replication origin usage.

1996 ◽  
Vol 16 (9) ◽  
pp. 4915-4922 ◽  
Author(s):  
R F Kalejta ◽  
J L Hamlin
Keyword(s):  
Replication Origin ◽  
Simian Virus 40 ◽  
Simian Virus ◽  
Yeast Cells ◽  
Eukaryotic Cells ◽  
Mapping Technique ◽  
Two Dimensional ◽  
Composite Pattern ◽  
Composite Gel ◽  
Bona Fide

The neutral/neutral two-dimensional (2-D) gel replicon mapping technique has been used to great advantage to localize and characterize origins of replication. Interestingly, many yeast origins display a composite pattern consisting of both a bubble arc and a single-fork arc. Moreover, in every instance in which neutral/neutral 2-D gels have been used to analyze origins in higher eukaryotic cells, two or more adjacent fragments display these composite patterns. We believe that composite patterns signal inefficient origin usage in yeast cells because the replicators in question are not active in every cell cycle and in higher eukaryotic replicons because initiation sites are chosen from among many potential sites lying within a zone. However, others have suggested that the single-fork arcs in these composite gel patterns arise from nicking activity that converts replication bubbles to branched structures that comigrate with bona fide single forks. Here, we have used three different replicon mapping strategies to show that broken simian virus 40 replication bubbles trace unique arcs that are clearly distinguishable from classic, intact single forks. Thus, it is likely that composite 2-D gel patterns represent origins that are inefficiently utilized.

scholarly journals Protein Homeostasis Networks and the Use of Yeast to Guide Interventions in Alzheimer’s Disease

2020 ◽  
Vol 21 (21) ◽  
pp. 8014
Author(s):  
Sudip Dhakal ◽  
Ian Macreadie
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Stress Responses ◽  
Cell Biology ◽  
Neurodegenerative Disorder ◽  
The Elderly ◽  
Yeast Cells ◽  
Yeast Genome ◽  
Protein Homeostasis ◽  
Age Related

Alzheimer’s Disease (AD) is a progressive multifactorial age-related neurodegenerative disorder that causes the majority of deaths due to dementia in the elderly. Although various risk factors have been found to be associated with AD progression, the cause of the disease is still unresolved. The loss of proteostasis is one of the major causes of AD: it is evident by aggregation of misfolded proteins, lipid homeostasis disruption, accumulation of autophagic vesicles, and oxidative damage during the disease progression. Different models have been developed to study AD, one of which is a yeast model. Yeasts are simple unicellular eukaryotic cells that have provided great insights into human cell biology. Various yeast models, including unmodified and genetically modified yeasts, have been established for studying AD and have provided significant amount of information on AD pathology and potential interventions. The conservation of various human biological processes, including signal transduction, energy metabolism, protein homeostasis, stress responses, oxidative phosphorylation, vesicle trafficking, apoptosis, endocytosis, and ageing, renders yeast a fascinating, powerful model for AD. In addition, the easy manipulation of the yeast genome and availability of methods to evaluate yeast cells rapidly in high throughput technological platforms strengthen the rationale of using yeast as a model. This review focuses on the description of the proteostasis network in yeast and its comparison with the human proteostasis network. It further elaborates on the AD-associated proteostasis failure and applications of the yeast proteostasis network to understand AD pathology and its potential to guide interventions against AD.

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