Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of novel diagnostic markers for fatal hypothermia by body temperature-dependent gene expression analysis in rats

ABSTRACT: Identification of novel diagnostic markers for fatal hypothermia by body temperature-dependent gene expression analysis in rats

PROVIDER: PRJNA429793 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6468250_1.fastq.gz	Fastqsanger.gz
	SRR6468250_2.fastq.gz	Fastqsanger.gz
	SRR6468251_1.fastq.gz	Fastqsanger.gz
	SRR6468251_2.fastq.gz	Fastqsanger.gz
	SRR6468252_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Identification of novel diagnostic markers for fatal hypothermia by body temperature-dependent gene expression analysis in rats

Project description:Diagnosis of fatal hypothermia is considered to be difficult in forensic practice. In this study, in order to identify novel molecular markers of fatal hypothermia, we made rat models of mild, moderate and severe hypothermia, and performed body temperature-dependent gene expression analysis in illiopsoas muscle using next-generation sequencing.

2019-01-11 | GSE109148 | GEO

Tissue culture model of hypothermia

2014-03-01 | GSE54229 | GEO

Tissue culture model of hypothermia

Project description:Therapeutic hypothermia is a clinically effective treatment for various hypoxic and ischemic conditions, but the associated molecular mechanisms remain unclear. To gain insight into hypothermia-induced transcriptional response, mouse embryonic fibroblasts were exposed to mild hypothermia (32Â°C) or normothermia (37Â°C) for increasing time periods. We aimed to identify genes with temporally near-monotonic response as the most obvious candidates for mediating the therapeutic effects of hypothermia. Hypothermia was compared against normothermia at seven different time-points. Hypothermic and normothermic mouse embryonic fibroblasts (MEF, in 100 mm dishes, one array per time-point) were submitted to gene expression analysis using Mouse Gene 1.0 ST GeneChipÂ® (Affymetrix) microarrays. Differential gene expression analysis was performed with R package DEMI (http://biit.cs.ut.ee/demi/).

2014-03-01 | E-GEOD-54229 | biostudies-arrayexpress

Body temperature-dependent microRNA expression analysis in rats

Project description:We made rat models of mild, moderate and severe hypothermia, and performed body temperature-dependent microRNA expression analysis in illiopsoas muscle.

2020-10-02 | GSE139446 | GEO

The Transcriptome Responses of Cardiomyocyte Exposed to Hypothermia

Project description:Hypothermia affects the body in positive and negative consequences. In cardiac, hypothermia depresses myocardial contraction, slows conduction, and decreases metabolic rate. However, little is known about the molecular mechanism. Here we compare the genes expression of human adult ventricular cardiomyocyte cells (AC16) treated with hypothermia, trying to find changes under different temperatures and then elucidate the candidate genes that may play important roles in the response to hypothermia. A total of 2413 differentially expressed genes (DEGs) were identified by microarray hybridization, which provided abundant data for further analysis. Gene Ontology enrichment analysis revealed that genes related to gene transcriptions, protein and lipid metabolic were significantly enriched. KEGG analysis showed that DEGs were significantly enriched in TGF-β pathway and cytokine-cytokine receptor interaction, which may play important roles in response to hypothermia. A set of TFs (CPBP, Churchill, NF-AT1, GKLF, SRY, ZNF333, ING4, myogenin, DRI1 and CRX) was recognized to be the functional layer of key nodes, which mapped the signal of hypothermia to transcriptome. These identified DEGs, pathways and predicted TF could facilitate further investigations of the detailed molecular mechanisms, making it possible to take advantage of the potential applications of hypothermia in broader ranger AC16 cell lines was treated by hypothermia (n=3) and control group (n=3) for 6 hours.

2015-07-28 | E-GEOD-71361 | biostudies-arrayexpress

The Transcriptome Responses of Cardiomyocyte Exposed to Hypothermia

2015-07-28 | GSE71361 | GEO

MicroRNA Profiling Identifies Potential Diagnostic and Prognostic Markers in Prostate Cancer

Project description:Prostate cancer is the second leading cause of cancer death in the United States and Europe. Diagnosis and risk estimation of cancer recurrence is often critical with the common clinicopathologic parameters of prostate-specific antigen, tumor stage and grade. Therefore it is mandatory to develop new diagnostic and prognostic markers for prostate cancer. miRNAs have been shown to be novel markers in a series of other cancer types. We show for the first time, that good overall classification of normal and malignant prostate tissue was possible with combination of just two miRNAs (hsa-miR-205, hsa-miR-183). Further, hsa-miR-96 is shown to be associated with the recurrence-free interval after radical prostatectomy.

2009-09-15 | GSE14857 | GEO

Analysis of early diagnostic markers for acute kidney injury after cardiac surgery

Project description:Analysis of early diagnostic markers for acute kidney injury after cardiac surgery

| PRJNA1119506 | ENA

Comparison between decreasing body temperature and keeping normal temperature before starting heated chemotherapy into abdomen on developing decreased body temperature after heated chemotherapy

Project description:Intervention1: Normothermia Group: Normothermia will be maintained throughout CRS and warming devices will not be stopped before starting HIPEC. Control Intervention1: Passive Hypothermia Before HIPEC: As per our standard anesthesia protocol, warming devices will be stopped 1 hour before the HIPEC phase to maintain temperature between 34.5-35.0 degree C. Primary outcome(s): Proportion of patients who have achieved normal body temperature of at least 35 degree C post HIPECTimepoint: Immediately (0 hour) after shifting the patients to ICU or postanaesthesia care unit. Study Design: Randomized, Parallel Group Trial Method of generating randomization sequence:Computer generated randomization Method of allocation concealment:On-site computer system Blinding and masking:Open Label

| 78212 | ecrin-mdr-crc

Serum exosomes lncRNAs: TCONS_I2_00013502 and ENST00000363624 are new diagnostic markers for rheumatoid arthritis

Project description:Serum exosomes lncRNAs: TCONS_I2_00013502 and ENST00000363624 are new diagnostic markers for rheumatoid arthritis

| PRJNA1130372 | ENA