Project description:ESTs in which transcription levels in oyster gill differed among sampling times after heat shock and between families with high or low survival of heat shock were identified through expression profiling of 1,675 spot pairs Keywords: comparison of families characterized by low or high survival after heat shock
Project description:ESTs in which transcription levels in oyster gill differed among sampling times after heat shock and between families with high or low survival of heat shock were identified through expression profiling of 1,675 spot pairs Keywords: comparison of families characterized by low or high survival after heat shock Oyster families were characterized by survival after heat shock, exposed to a sub-lethal heat shock, and gill was collected before and at 1, 3, 6, and 24 h afterwards. Differences among sampling times and between family types were assessed using a 2-way analysis of variance. In total, 1,675 ESTs were included in the analysis.
Project description:The Pacific oyster Crassostrea gigas, a commercially important species inhabiting the intertidal zone, can tolerate temperature fluctuations. Heat shock transcription factor 1 (HSF1) plays an important role in the process of resistance of thermal stress. However, HSF1 has not been fully characterized in the Pacific oyster. C. gigas with an expansion of heat shock protein (HSP) 70. In this study, we analyzed genes regulated by HSF1 in response to heat shock by Chromatin immunoprecipitation followed sequencing (ChIP-seq), determined the expression patterns of target genes by qRT-PCR, and validated the regulatory relationship between one HSP70 and HSF1. We found 916 peaks corresponding to specific binding sites of HSF1, and peaks were annotated to nearest genes. In Gene Ontology analysis, HSF1 target genes was related to signal transduction, energy production, and response to biotic stimulus. Four HSP70 genes, two HSP40 genes, and one small HSP gene exhibited binding to HSF1. One HSP70 with a binding site in the promoter region was validated to be regulated by HSF1 under heat shock. These results provide a basis for future studies aimed at determining the mechanisms underlying thermal tolerance and provide insights into gene regulation in the Pacific oyster.
2020-10-16 | GSE138959 | GEO
Project description:The Sydney Rock Oyster microbiome is influenced by location, time and genetics
Project description:Rho-associated coiled-coil kinase (ROCK) protein is a central kinase that regulates numerous cellular functions, including cellular polarity, motility, proliferation and apoptosis. Here, we demonstrate that ROCK has antiviral properties and inhibition of its activity results in enhanced propagation of human cytomegalovirus (HCMV). We show that during HCMV infection ROCK1 translocates to the nucleus and concentrates in the nucleolus were it co-localizes with the stress related chaperone, heat shock cognate 71 kDa protein (Hsc70) . Gene expression measurements showed that inhibition of ROCK activity does not affect the cellular stress response. We further demonstrate that inhibition of myosin, one of the central targets of ROCK, also increases HCMV propagation, implying that the anti-viral activity of ROCK might be mediated by activation of the actomyosin network. Finally, we demonstrate that inhibition of ROCK results in increased levels of the tegument protein UL32 and of viral DNA in the cytoplasm, suggesting ROCK activity hinders the efficient egress of HCMV particles out of the nucleus. Altogether our findings illustrate ROCK activity restricts HCMV propagation and suggest this inhibitory effect may be mediated by suppression of capsid egress out of the nucleus.
Project description:We performed ChIP-seq of Hsf1 under non heat shock, 5-minute heat shock and 120 minute heat shock conditions. We used the conditional chemical genetics approach known as “anchor away” (AA) to rapidly inactivate Hsf1. We coupled Hsf1-AA to and nascent RNA seq (NAC)-seq to define the genes whose expression depends on Hsf1 during heat shock.
Project description:This is a mathematical model of heat shock protein synthesis induced by an external temperature stimulus. The model consists of a system of nine nonlinear ordinary differential equations describing the temporal evolution of key variables involved in the regulation of HSP synthesis.
Project description:Proctor2005 - Actions of chaperones and their
role in ageing
This model is described in the article:
Modelling the actions of
chaperones and their role in ageing.
Proctor CJ, Soti C, Boys RJ,
Gillespie CS, Shanley DP, Wilkinson DJ, Kirkwood TB.
Mech. Ageing Dev. 2005 Jan; 126(1):
119-131
Abstract:
Many molecular chaperones are also known as heat shock
proteins because they are synthesised in increased amounts
after brief exposure of cells to elevated temperatures. They
have many cellular functions and are involved in the folding of
nascent proteins, the re-folding of denatured proteins, the
prevention of protein aggregation, and assisting the targeting
of proteins for degradation by the proteasome and lysosomes.
They also have a role in apoptosis and are involved in
modulating signals for immune and inflammatory responses.
Stress-induced transcription of heat shock proteins requires
the activation of heat shock factor (HSF). Under normal
conditions, HSF is bound to heat shock proteins resulting in
feedback repression. During stress, cellular proteins undergo
denaturation and sequester heat shock proteins bound to HSF,
which is then able to become transcriptionally active. The
induction of heat shock proteins is impaired with age and there
is also a decline in chaperone function. Aberrant/damaged
proteins accumulate with age and are implicated in several
important age-related conditions (e.g. Alzheimer's disease,
Parkinson's disease, and cataract). Therefore, the balance
between damaged proteins and available free chaperones may be
greatly disturbed during ageing. We have developed a
mathematical model to describe the heat shock system. The aim
of the model is two-fold: to explore the heat shock system and
its implications in ageing; and to demonstrate how to build a
model of a biological system using our simulation system
(biology of ageing e-science integration and simulation
(BASIS)).
This model is hosted on
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and identified by:
BIOMD0000000091.
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