Genomics of the individual heat shock response
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Peter Humburg
PROVIDER: E-MTAB-4953 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The aim of the project was to quantify protein aggregation and disaggregation in human cells after transient non-lethal heat shock and during recovery. In addition, the non-aggregating proteins were analyzed by two-dimensional proteome profiling to detect changes in thermal stability upon heat shock. For aggregation/disaggregation study, K562 cells were grown in light SILAC medium which was changed to heavy medium 90 minutes before heat treatment (10 minutes at 44C). After heat shock, cells were let to recover at 37C. Samples were collected before and after the heat shock as well as on multiple time points during recovery (one, two, three and five hours). Protein intensities from soluble fraction (extracted with mild detergent - NP40) was compared to a control samples that on parallel were treated with mock shock (10 minutes at +37C). Samples were labelled with TMT labels and pooled. The medium switch prior to heat shock also allowed to monitor changes in protein synthesis caused by the heat shock. For control, an analysis of total protein amount (extracted with strong detergent - SDS) was conducted. For two-dimensional proteome profiling, aliquots of heat shocked and mock shocked samples were exposed to a temperature gradient (from 37.0C to 66.3C). Samples from two adjacent temperatures were labelled with TMT and pooled. Proteins from soluble fractions were quantified and heat shock-induced changes in thermal stability were analyzed.
2020-09-22 | PXD017291 | Pride
Project description:High-resolution tiling analysis of the MR-1 transcriptome under diverse growth conditions The conditions include aerobic growth in Luria-Bertani broth (LB), aerobic growth in defined lactate minimal medium, anaerobic growth in defined lactate minimal medium with 20mM dimethyl sulfoxide as the electron acceptor, anaerobic growth in defined lactate minimal medium with 10mM iron (III) citrate as the electron acceptor, 10 minutes post heat shock at 42oC see GSE39468 for tiling data on lactate minimal media Four slides hybridized to mRNA and one “genomic control” array hybridized to genomic DNA
2013-03-18 | E-GEOD-45217 | biostudies-arrayexpress
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
BioModels Database
and identified by:
BIOMD0000000091.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2007-02-26 | BIOMD0000000091 | BioModels
Project description:Subspecies of the Atlantic killifish, Fundulus heteroclitus, differ in their maximum thermal tolerance. To determine whether there is a link between the heat shock response (HSR) and maximum thermal tolerance, we exposed 20ºC acclimated killifish from these subspecies to a 2hr heat shock at 34ºC and examined gene expression during heat shock and recovery using real time quantitative PCR and a heterologous cDNA microarray designed for salmonid fishes. Keywords: Expression profiling by array Microarray analyses were performed on four individual fish per subspecies of killifish (northern and southern) prior to heat shock (control) and after 60 minutes of heat shock, hybridized (one slide per individual) against a common reference RNA pool composed of an equal amount of RNA from all samples in the analysis.
2010-06-20 | E-GEOD-18792 | biostudies-arrayexpress
Project description:We evaluated the effect of a 2h pre-treatment at 38°C on the response of Arabidopsis thaliana 6d-old seedlings to a 2h heat shock at 43°C applied 24 h later. A shotgun proteomics approach using total protein extracts was used to compare the proteome of seedlings from four type of samples, using 4 replicates: C=Control (just before heat shock on day 7) P= Primed (on day 7, 22 h after priming performed on day 6) H= Heat shock (on day 7, 2h after heat shock) PH= Priming + heat shock (on day 7, for primed seedlings, 2h after heat shock).
2024-04-02 | PXD045392 | Pride
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:In addition to the differences between populations in transcriptional and translational regulation of genes, alternative pre-mRNA splicing (AS) is also likely to play an important role in regulating gene expression and generating variation in mRNA and protein isoforms. Recently, the genetic contribution to transcript isoform variation has been reported in individuals of recent European descent. We report here results of an investigation of the differences in AS patterns between human populations. AS patterns in 176 HapMap lymphoblastoid cell lines derived from individuals of European and African ancestry were evaluated using the Affymetrix GeneChip Human Exon 1.0 ST Array. A variety of biological processes such as immune response and mRNA metabolic process were found to be enriched among the differentially spliced genes. The differentially spliced genes also include some involved in human diseases that have different prevalence or susceptibility between populations. The genetic contribution to the population differences in transcript isoform variation was then evaluated by a genome-wide association using the HapMap genotypic data on single nucleotide polymorphisms (SNPs). The results suggest that local and distant genetic variants account for a substantial fraction of the observed transcript isoform variation between human populations. Exon level expression on 176 HapMap cell lines.
2010-08-19 | E-GEOD-9703 | biostudies-arrayexpress
Project description:This was an accompanying experiment. Previously, the expression of genes hsp70A and hsp70B had been established as being tetrapyrrole-dependent (Kropat et al., 1997, 2000). Since both are well-known heat-shock proteins, we performed a one-step heat shock treatment by shifting the temperatures from 23M-BM-0C to 42M-BM-0C for 45 min. Moreover, this experiment served as an additional global control to further test the reliability of the microarray and our general conditions since the heat shock response in general is quite well investigated. 3988 responding genes were identified. Among them are 22 genes known to be regulated by HS, selected examples are: the heat shock proteins 22A, 22B and 22C, here leading the list of top-regulated genes on place 1 with a FC of 91297 (22A), place 3 with a FC of 45023 (22B) and place 5 with a FC of 6570 (22C). Other examples are several DnaJ-like proteins or the ClpB chaperone, from the Hsp100 family. In total the analysis comprises 8 samples. For heat shock, a 20 ml culture with ~4 M-CM-^W 106 cells per ml in a 100 ml Erlenmeyer flask was incubated at 42M-BM-0C for 45 min in the light with shaking. Control cultures were incubated in the light at 23M-BM-0C (von Gromoff et al., 1989; Kropat et al., 2000). For harvest, cultures were chilled immediately by pouring them onto crushed ice, centrifuged (5 min, 3000 g, 4M-BM-0C) and resuspended in 1 ml TAP. This procedure was repeated three times, resulting in 3 biological replicates.
2011-03-02 | E-GEOD-20859 | biostudies-arrayexpress
Project description:shock treatment<br>Differential gene expression between the alternate 2La arrangements was examined for heat shock treated and control fourth instar larvae at three discrete time points to examine temporal variation in thermal stress response. One week after egg hatching, 72 fourth instar larvae of each 2La inversion polmorphism were randomly selected from multiple pans and placed into individual 13x100 mm glass culture tubes containing 2 mL of water. Heat shock treatment was carried out by placing tube racks containing larvae into a 38?C water bath for 60 min. After heat shock, larvae were placed back into 27?C water until collection, which took place 0.25 h, 2 h, and 8 h later by pooling 24 individuals into a 1.5 mL microcentrifuge tube and snap-freezing them in liquid nitrogen. Samples were stored at -80 ?C until RNA isolation. Control groups were treated identically for each time point with the only difference being that they were not exposed to the 60 min heat shock but rather placed into 27?C water<br>
2011-12-02 | E-MEXP-3078 | biostudies-arrayexpress
Project description:Transcriptional profiling of Coxiella burnetii phase I (RSA 493) submitting either to Cold and Heat shock comparing to control untreated Coxiella burnetii phase I (RSA 493) grown at 35°C. Four experiments : Cold shock 30 min Vs 35°C; Cold shock 60 min Vs 35°C; Heat shock 30 min Vs 35°C; Heat shock 60 min Vs 35°C 3 biological replicates, independently grown and harvested. Four replicate per array.
2011-01-01 | E-GEOD-21778 | biostudies-arrayexpress