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ABSTRACT:
PROVIDER: PRJNA695857 | ENA |
REPOSITORIES: ENA
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Project description:Transcriptomic response of Exaiptasia pallida to heat stress
| PRJNA406873 | ENA
Project description:Transcriptomic response of sea turtle embryos to heat stress
| PRJNA376215 | ENA
Project description:HSFA1s are a gene family of HSFA1 with four members, HSFA1a, HSFA1b, HSFA1d, and HSFA1e. HSFA1s are the master regulators of heat shock response. As a part of the heat shock response, HSFA2 can prolong the heat shock response and amplify the heat shock response in response to repeat heat shock. To identify the heat-shock-responsive genes differentially regulated by HSFA1s and HSFA2, we compared the transcriptomic differences of plants containing only constitutively expressed HSFA1s or HSFA2 after heat stress.
2013-04-09 | GSE44655 | GEO
Project description:HSFA1s are a gene family of HSFA1 with four members, HSFA1a, HSFA1b, HSFA1d, and HSFA1e. HSFA1s are the master regulators of heat shock response. As a part of the heat shock response, HSFA2 can prolong the heat shock response and amplify the heat shock response in response to repeat heat shock. To identify the heat-shock-responsive genes differentially regulated by HSFA1s and HSFA2, we compared the transcriptomic differences of plants containing only constitutively expressed HSFA1s or HSFA2 after heat stress. hsfa2 (the KO mutant of HSFA2, Col-0 background) and A2QK-10 (CaMV 35S:HSFA2 in QK mutant; QK is HSFA1a/b/d/e quadruple KO mutant) were used to compare the difference of heat shock response when plants lack HSFA1s or HSFA2. The aim is to find the HSFA1s- and HSFA2-preferred regulating genes after heat stress. As the control samples, wild type is the plant with normal heat shock response, and QK (HSFA1s KO mutant, Col-0 and Ws mixed background) is the plant that lost the heat shock response controlled by HSFA1s.
2013-04-09 | E-GEOD-44655 | biostudies-arrayexpress
Project description:Environmental stress, such as oxidative or heat stress, induces the activation of the heat shock response
(HSR) and leads to an increase in the heat shock proteins (HSPs) level. These HSPs act as molecular
chaperones to maintain cellular proteostasis. Controlled by highly intricate regulatory mechanisms,
having stress-induced activation and feedback regulations with multiple partners, the HSR is still
incompletely understood. In this context, we propose a minimal molecular model for the gene
regulatory network of the HSR that reproduces quantitatively different heat shock experiments both
on heat shock factor 1 (HSF1) and HSPs activities. This model, which is based on chemical kinetics
laws, is kept with a low dimensionality without altering the biological interpretation of the model
dynamics. This simplistic model highlights the titration of HSF1 by chaperones as the guiding line of
the network. Moreover, by a steady states analysis of the network, three different temperature stress
regimes appear: normal, acute, and chronic, where normal stress corresponds to pseudo thermal
adaption. The protein triage that governs the fate of damaged proteins or the different stress regimes
are consequences of the titration mechanism. The simplicity of the present model is of interest in
order to study detailed modelling of cross regulation between the HSR and other major genetic
networks like the cell cycle or the circadian clock.
Sivéry, A., Courtade, E., Thommen, Q. (2016). A minimal titration model of the mammalian dynamical heat shock response. Physical biology, 13(6), 066008.
2022-01-25 | MODEL2201210001 | BioModels
Project description:With the intensification of global warming, rainbow trout is suffering from varying degrees thermal stimulation, heat stress may cause pathological signs or diseases by reducing the immune roles and then lead to mass mortality, so high temperatures severely restrict the development of its aquaculture. Understanding the molecular regulation mechanism of rainbow trout under heat stress is used to take measures to relieve symptoms. We performed multiple transcriptomic analysis of liver tissues from rainbow trout under heat stress (24 °C) and control conditions (18 °C) to identify circRNAs, miRNAs and mRNAs. Changes of non-specific immune parameters revealed that strong stress response of rainbow trout is caused in 24 °C. A total of 324 DEcircRNAs, 105 DEmiRNAs, and 1885 DEmRNAs were identified from six libraries, and ceRNA regulatory network is constructed. 301 circRNA–miRNA and 51 miRNA–mRNA negative correlation pairs were screened from ceRNA regulatory network, and predicted three regulatory correlation pairs that novel_circ_003889 - novel-m0674-3p - hsp90ab1, novel_circ_002325 - miR-18-y - HSPA13 and novel_circ_002446 - novel-m0556-3p - hsp70. Some genes involved in metabolic process, biological regulation or response to stimulus are highly induced at high temperatures. Several important pathways involved in heat stress were characterized, such as Protein processing in endoplasmic reticulum (ER), Estrogen signaling pathway, HIF-1 signaling pathway, etc. These results extend our understanding of the molecular mechanisms of heat stress response and expected to provide a novel insight into develop strategies for relieve heat stress.
2019-11-08 | GSE140112 | GEO
Project description:BACKGROUND: Climate change will lead in the future to an occurrence of heat waves with a higher frequency and duration than observed today, which has the potential to cause severe damage to seedlings of temperate maize genotypes. In this study, we aimed to (I) assess phenotypic variation for heat tolerance of temperate European Flint and Dent maize inbred lines, (II) investigate the transcriptomic response of temperate maize to linearly increasing heat levels and, (III) identify genes associated with heat tolerance in a set of genotypes with contrasting heat tolerance behaviour. RESULTS: Strong phenotypic differences with respect to heat tolerance were observed between the examined maize inbred lines on a multi-trait level. We identified 607 heat responsive genes as well as 39 heat tolerance genes. CONCLUSION: Our findings indicate that individual inbred lines developed different genetic mechanisms in response to heat stress. We applied a novel statistical approach enabling the integration of multiple genotypes and stress levels in the analysis of abiotic stress expression studies.
2016-10-20 | GSE88917 | GEO