Ontology highlight
ABSTRACT:
PROVIDER: PRJNA524021 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The whole transcriptome of Davidia involucrata
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Project description:Davidia involucrata isolate:- Transcriptome or Gene expression
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Project description:Transcriptome analysis of tomato fruits under heat stress revealed that most SlCRK genes were downregulated upon heat treatment. GO enrichment analysis of genes that were co-expressed with SlCRK members have identified various stress response related and proteasoma protein catabolic process related genes, which may be involved in heat stress signaling Overall, our results provide valuable information for further research on the roles of SlCRKs in response to abiotic stress, especially heat stress.
2021-05-19 | GSE174607 | GEO
Project description:We used microarray to study the transcriptome response of wheat flag leaves to heat stress (40℃) In order to study the transcriptome response of wheat flag leaf to heat stress, wheat cultivar ‘TAM 107’ plants were subjected to heat stress (40℃). After 1 hour of stress, flag leaves were sampled from both stressed and control plants and were used for microarray analysis.
2015-08-13 | E-GEOD-60351 | 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:Drosophila heat stress response time series analysis
| PRJNA96545 | ENA
Project description:Heat shock factors (Hsfs) are known to regulate heat and drought stress response by controlling the expression of heat shock proteins and oxidative stress responsive genes. Loss-of-function of OsHSFA2e gene resulted in increased sensitivity of rice plants to drought and heat stress. To identify the targets of OsHSFA2e and dissect the stress response pathway regulated by it, we performed transcriptome profiling of Oshsfa2e mutant plants under drought stress as well as well-watered conditions by RNA-sequencing.
2015-01-16 | GSE65025 | GEO