Development of gene expression for stress in heat- and shake-induced injury in the rat jejunum
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ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE61498 | GEO | 2014/09/18
SECONDARY ACCESSION(S): PRJNA261315
REPOSITORIES: GEO
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2008-07-01 | GSE8917 | GEO
Project description:To further development of our gene expression approach to biodosimetry, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish radiation dose across an exposure range relevant for medical decision-making in a radiological emergency. Human peripheral blood from healthy donors was irradiated ex vivo, and a 74-gene consensus signature was identified that distinguished between four radiation doses (0.5, 2, 5 and 8 Gy) and control samples. The same set of genes separated samples by exposure level at both six and 24 hours after treatment, with overlap evident only at the highest two doses (5 and 8 Gy). Expression of five genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. Experiment Overall Design: Radiation induced gene expression in human blood was measured at 6 and 24 hours after exposure to doses of 0, 0.5, 2, 5 and 8 Gy g-rays. Five independent experiments were performed at each time (6 or 24 hours) using different donors for each experiment
2008-10-18 | E-GEOD-8917 | biostudies-arrayexpress
Project description:LncRNAs have been recently implicated as having oncogenic and tumor suppressor roles.To further investigate the function of lncRNA in colon cancer, we have employed lncRNA microarray to identify lncRNA with the potential to involve the metastasis of colon cancer. Human peripheral blood from healthy donors was irradiated ex vivo, and a 74-gene consensus signature was identified that distinguished between four radiation doses (0.5, 2, 5 and 8 Gy) and control samples. The same set of genes separated samples by exposure level at both six and 24 hours after treatment, with overlap evident only at the highest two doses (5 and 8 Gy). Expression of five genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern.
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2015-12-30 | GSE76392 | GEO
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2013-11-16 | E-GEOD-52413 | biostudies-arrayexpress
Project description:To further development of our gene expression approach to biodosimetry, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish radiation dose across an exposure range relevant for medical decision-making in a radiological emergency. Human peripheral blood from healthy donors was irradiated ex vivo, and a 74-gene consensus signature was identified that distinguished between four radiation doses (0.5, 2, 5 and 8 Gy) and control samples. The same set of genes separated samples by exposure level at both six and 24 hours after treatment, with overlap evident only at the highest two doses (5 and 8 Gy). Expression of five genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. Heat and shake stress induced gene expression in rat jejunum was measured with or without 3 days stressed (Control and S3d groups) The conditions of the treatment for rats were as follows: 35M-BM-0C with a vibration of 0.1 M-CM-^W g for 3 daysM-oM-<M-^L 2 h/day in a temperature shake. each group had 3 sample replications, and each sample were mixed by 3 rats total RNA
2014-09-18 | E-GEOD-61498 | biostudies-arrayexpress
Project description:To identify the gene expressing profiles of TIE2 expressing Monocytes(TEMs), we have employed the Agilent lncRNA Gene Expression 4Ã180K(Design ID:042818) microarray. Human peripheral blood mononuclear cells (PBMCs) in venous blood from healthy donors were isolated by Lymphoprep (Axis-Shield, Norway). Human monocytes in PBMCs, identified as cells that expressed CD14, were enriched by positive immunomagnetic selection using anti-CD14 MicroBeads (Miltenyi, Germany). TEMs (TIE2+CD14+) and TIE2-Monocytes (Tie2-CD14+) were then isolated by FACS-sorting (Aria II, BD Biosciences) using FITC-conjugated anti-CD14 (BD Biosciences, USA) and APC-conjugated anti-TIE2 (R&D System, USA) antibodies.Three TEMs samples together with their paried TIE2-Monocytes were detected.Expressions of sixteen genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. The gene expressions of three independent paried TEMs and TIE2- Monocytes samples from different donors were measured.
2017-05-17 | E-GEOD-57783 | biostudies-arrayexpress
Project description:To identify the gene expressing profiles of TIE2 expressing Monocytes(TEMs), we have employed the Agilent lncRNA Gene Expression 4×180K(Design ID:042818) microarray. Human peripheral blood mononuclear cells (PBMCs) in venous blood from healthy donors were isolated by Lymphoprep (Axis-Shield, Norway). Human monocytes in PBMCs, identified as cells that expressed CD14, were enriched by positive immunomagnetic selection using anti-CD14 MicroBeads (Miltenyi, Germany). TEMs (TIE2+CD14+) and TIE2-Monocytes (Tie2-CD14+) were then isolated by FACS-sorting (Aria II, BD Biosciences) using FITC-conjugated anti-CD14 (BD Biosciences, USA) and APC-conjugated anti-TIE2 (R&D System, USA) antibodies.Three TEMs samples together with their paried TIE2-Monocytes were detected.Expressions of sixteen genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern.
2017-05-17 | GSE57783 | GEO
Project description:Understanding the possible impact of potential confounding factors is necessary for any approach to radiation biodosimetry. Potential confounding factors have not been fully addressed for gene expression-based biodosimetry approaches, such as we are developing. To begin addressing this need, we have used an ex vivo irradiated peripheral blood cell model to investigate the potential effect of smoking on the global radiation gene expression response, and looked for genes that respond to radiation differently in smokers and non-smokers, and also in males and females. The results indicate that only a small number of genes may be significantly confounded by either factor, supporting the idea of developing peripheral blood gene expression strategies for radiation biodosimetry. Blood from each of 24 different donors was exposed to four doses of ionizing radiation (0, 0.1, 0.5, or 2 Gy) and analyzed using single-color microarray hybridization. The donors represented equal numbers of male and female smokers (1 or more packs a day) and non-smokers. There are 95 data sets in the study as the sample from one of the female smokers exposed to 2 Gy was lost.
2011-03-16 | E-GEOD-23515 | biostudies-arrayexpress
Project description:Abstract Purpose: There is a recognised need to develop new methods of high throughput, rapid and minimally invasive individual dose assessment for radiation exposure. The aim of this work is to establish a panel of highly radiation responsive genes suitable for biological dosimetry and to explore inter-individual variation in response to ionising radiation exposure.Materials and method: Analysis of gene expression in response to radiation was carried out using three independent techniques (microarray, Multiplex Quantitative RT-PCR and nCounter Analysis System) in human lymphocytes in culture and circulating blood exposed ex vivo from the same donors. Results: Variations in transcriptional response to exposure to ionising radiation analysed by microarray allowed the identification of genes which can be validated and measured accurately as biomarkers of radiation exposure using other techniques. We have identified genes which are consistently up-regulated following exposure at different time points to either 2 or 4 Gy of X-rays, for all individuals in blood and cultured lymphocytes. Most down-regulated genes including cyclins, centromeric and mitotic checkpoints proteins, particularly those associated with chromosome instability and cancer can only be detected in dividing cells. Conclusions: The data provides evidence that there are a number of genes which seem suitable for biological dosimetry, like SESN1, GADD45A, CDKN1A, CCNG1, FDXR, BBC3 and MDM2. ÊThese biomarkers could potentially be used for triage after large-scale radiological incidents. Variations in transcriptional response accurately measured by MQRT-PCRæ may allow the identification of biomarkers of radiation sensitivity and individual susceptibility and therefore being useful in radiation oncology.
2011-10-20 | E-TABM-1083 | biostudies-arrayexpress