Molecular Characterization of Heat Intolerance in Mice: microRNA (Affymetrix) and mRNA (Illumina) platforms
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ABSTRACT:
ORGANISM(S): Mus musculus synthetic construct
PROVIDER: GSE48271 | GEO | 2013/09/01
SECONDARY ACCESSION(S): PRJNA209469
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-09-01 | E-GEOD-48271 | biostudies-arrayexpress
Project description:Molecular Characterization of Heat Intolerance in Mice: microRNA (Affymetrix) and mRNA (Illumina) platforms
| PRJNA209469 | ENA
Project description:Prolonged exposure to high temperatures may cause heat-related illnesses, such as cramps, syncope, exhaustion or even stroke in some individuals. Heat-related injuries remain a threat to the health and operational effectiveness of military personnel, athletes and the general public. Heat injury victims experience long-term complications that may include multi-system organ (liver, kidney, muscle) and neurologic damage, as well as reduced exercise capacity and heat intolerance. Findings from our laboratory using a developed heat stress model show that about 1/3 of mice are heat-intolerant and vulnerable to heat injury even though they are from the same mice litter. We examined if there is any genetic causation to this pattern of observation between the two groups of mice classified (Heat Intolerant and Heat Tolerant). We would like to screen Heat Tolerant and Heat Intolerant mice samples using microarray technology and examine their microRNA and mRNA for possible gene-specific differences between the two groups (6 mice per group). The results from this proposed animal research will help identify and select potential markers that can be used as a pre-screen to identify heat intolerance and assess heat injury recovery in humans. Heat-induced physiological and biochemical changes were assessed to determine heat tolerance levels in mice. We performed mRNA and microRNA expression profiling on mouse gastrocnemius muscle tissue samples to determine novel biological pathways associated with heat tolerance.
2013-09-01 | E-GEOD-48269 | biostudies-arrayexpress
Project description:Prolonged exposure to high temperatures may cause heat-related illnesses, such as cramps, syncope, exhaustion or even stroke in some individuals. Heat-related injuries remain a threat to the health and operational effectiveness of military personnel, athletes and the general public. Heat injury victims experience long-term complications that may include multi-system organ (liver, kidney, muscle) and neurologic damage, as well as reduced exercise capacity and heat intolerance. Findings from our laboratory using a developed heat stress model show that about 1/3 of mice are heat-intolerant and vulnerable to heat injury even though they are from the same mice litter. We examined if there is any genetic causation to this pattern of observation between the two groups of mice classified (Heat Intolerant and Heat Tolerant). We would like to screen Heat Tolerant and Heat Intolerant mice samples using microarray technology and examine their microRNA and mRNA for possible gene-specific differences between the two groups (6 mice per group). The results from this proposed animal research will help identify and select potential markers that can be used as a pre-screen to identify heat intolerance and assess heat injury recovery in humans.
2013-09-01 | GSE48270 | GEO
Project description:Prolonged exposure to high temperatures may cause heat-related illnesses, such as cramps, syncope, exhaustion or even stroke in some individuals. Heat-related injuries remain a threat to the health and operational effectiveness of military personnel, athletes and the general public. Heat injury victims experience long-term complications that may include multi-system organ (liver, kidney, muscle) and neurologic damage, as well as reduced exercise capacity and heat intolerance. Findings from our laboratory using a developed heat stress model show that about 1/3 of mice are heat-intolerant and vulnerable to heat injury even though they are from the same mice litter. We examined if there is any genetic causation to this pattern of observation between the two groups of mice classified (Heat Intolerant and Heat Tolerant). We would like to screen Heat Tolerant and Heat Intolerant mice samples using microarray technology and examine their microRNA and mRNA for possible gene-specific differences between the two groups (6 mice per group). The results from this proposed animal research will help identify and select potential markers that can be used as a pre-screen to identify heat intolerance and assess heat injury recovery in humans. Heat-induced physiological and biochemical changes were assessed to determine heat tolerance levels in mice. We performed mRNA and microRNA expression profiling on mouse gastrocnemius muscle tissue samples to determine novel biological pathways associated with heat tolerance.
2013-09-01 | E-GEOD-48270 | biostudies-arrayexpress
Project description:Prolonged exposure to high temperatures may cause heat-related illnesses, such as cramps, syncope, exhaustion or even stroke in some individuals. Heat-related injuries remain a threat to the health and operational effectiveness of military personnel, athletes and the general public. Heat injury victims experience long-term complications that may include multi-system organ (liver, kidney, muscle) and neurologic damage, as well as reduced exercise capacity and heat intolerance. Findings from our laboratory using a developed heat stress model show that about 1/3 of mice are heat-intolerant and vulnerable to heat injury even though they are from the same mice litter. We examined if there is any genetic causation to this pattern of observation between the two groups of mice classified (Heat Intolerant and Heat Tolerant). We would like to screen Heat Tolerant and Heat Intolerant mice samples using microarray technology and examine their microRNA and mRNA for possible gene-specific differences between the two groups (6 mice per group). The results from this proposed animal research will help identify and select potential markers that can be used as a pre-screen to identify heat intolerance and assess heat injury recovery in humans.
2013-09-01 | GSE48269 | GEO
Project description:BackgroundIndividuals who rapidly develop hyperthermia during heat exposure (heat-intolerant) are vulnerable to heat associated illness and injury. We recently reported that heat intolerant mice exhibit complex alterations in stress proteins in response to heat exposure. In the present study, we further explored the role of genes and molecular networks associated with heat tolerance in mice.MethodologyHeat-induced physiological and biochemical changes were assessed to determine heat tolerance levels in mice. We performed RNA and microRNA expression profiling on mouse gastrocnemius muscle tissue samples to determine novel biological pathways associated with heat tolerance.Principal findingsMice (n = 18) were assigned to heat-tolerant (TOL) and heat-intolerant (INT) groups based on peak core temperatures during heat exposures. This was followed by biochemical assessments (Hsp40, Hsp72, Hsp90 and Hsf1 protein levels). Microarray analysis identified a total of 3,081 mRNA transcripts that were significantly misregulated in INT compared to TOL mice (p<0.05). Among them, Hspa1a, Dnajb1 and Hspb7 were differentially expressed by more than two-fold under these conditions. Furthermore, we identified 61 distinct microRNA (miRNA) sequences significantly associated with TOL compared to INT mice; eight miRNAs corresponded to target sites in seven genes identified as being associated with heat tolerance pathways (Hspa1a, Dnajb1, Dnajb4, Dnajb6, Hspa2, Hspb3 and Hspb7).ConclusionsThe combination of mRNA and miRNA data from the skeletal muscle of adult mice following heat stress provides new insights into the pathophysiology of thermoregulatory disturbances of heat intolerance.
| S-EPMC3744453 | biostudies-literature
Project description:The growth in popularity of RNA expression microarrays has been accompanied by concerns about the reliability of the data especially when comparing between different platforms. Here we present an evaluation of the reproducibility of microarray results using two platforms, Affymetrix GeneChips and Illumina BeadArrays. The study design is based on a dilution series of two human tissues (blood and placenta), tested in duplicate on each platform. By a variety of measures the two platforms yielded data of similar quality and properties. The results of a comparison between the platforms indicate very high agreement, particularly for genes which are predicted to be differentially expressed between the two tissues. Agreement was strongly correlated with the level of expression of a gene. Concordance was also improved when probes on the two platforms could be identified as being likely to target the same set of transcripts of a given gene. These results shed light on the causes or failures of agreement across microarray platforms. The set of probes we found to be most highly reproducible can be used by others to help increase confidence in analyses of other data sets using these platforms. Keywords: Dilution series, platform comparison, Affymetrix, Illumina
2005-11-08 | GSE3077 | GEO
Project description:RNA-Seq is a powerful method for transcriptome analysis used in varied field of biology. Although several commercial products and hand-made protocols enable us to prepare RNA-Seq library from total RNA, their cost are still expensive. Here, we established a low-cost and multiplexable whole mRNA-Seq library preparation method for illumine sequencers. In order to reduce cost, we used cost-effective and robust commercial regents with small reaction volumes. This method is a whole mRNA-Seq, which can be applied even to non-model organisms lacking the transcriptome references. In addition, we designed large number of 3' PCR primer including 8 nucleotides barcode sequences for multiplexing up to three hundreds samples. To summarize, it is possible with this protocol to prepare 96 directional RNA-Seq libraries from purified total RNA in three days and can be pooled for up to three hundred libraries. This is beneficial for large scale transcriptome analysis in many fields of animals and plant biology.
| S-EPMC7842554 | biostudies-literature
Project description:BackgroundHigh throughput parallel sequencing, RNA-Seq, has recently emerged as an appealing alternative to microarray in identifying differentially expressed genes (DEG) between biological groups. However, there still exists considerable discrepancy on gene expression measurements and DEG results between the two platforms. The objective of this study was to compare parallel paired-end RNA-Seq and microarray data generated on 5-azadeoxy-cytidine (5-Aza) treated HT-29 colon cancer cells with an additional simulation study.MethodsWe first performed general correlation analysis comparing gene expression profiles on both platforms. An Errors-In-Variables (EIV) regression model was subsequently applied to assess proportional and fixed biases between the two technologies. Then several existing algorithms, designed for DEG identification in RNA-Seq and microarray data, were applied to compare the cross-platform overlaps with respect to DEG lists, which were further validated using qRT-PCR assays on selected genes. Functional analyses were subsequently conducted using Ingenuity Pathway Analysis (IPA).ResultsPearson and Spearman correlation coefficients between the RNA-Seq and microarray data each exceeded 0.80, with 66%~68% overlap of genes on both platforms. The EIV regression model indicated the existence of both fixed and proportional biases between the two platforms. The DESeq and baySeq algorithms (RNA-Seq) and the SAM and eBayes algorithms (microarray) achieved the highest cross-platform overlap rate in DEG results from both experimental and simulated datasets. DESeq method exhibited a better control on the false discovery rate than baySeq on the simulated dataset although it performed slightly inferior to baySeq in the sensitivity test. RNA-Seq and qRT-PCR, but not microarray data, confirmed the expected reversal of SPARC gene suppression after treating HT-29 cells with 5-Aza. Thirty-three IPA canonical pathways were identified by both microarray and RNA-Seq data, 152 pathways by RNA-Seq data only, and none by microarray data only.ConclusionsThese results suggest that RNA-Seq has advantages over microarray in identification of DEGs with the most consistent results generated from DESeq and SAM methods. The EIV regression model reveals both fixed and proportional biases between RNA-Seq and microarray. This may explain in part the lower cross-platform overlap in DEG lists compared to those in detectable genes.
| S-EPMC3697991 | biostudies-literature