Similar Datasets
Project description:8 week-old male C57BL6J mice were given Gram-negative endotoxin (LPS O111:B4, 10 mg/kg) intraperitoneally at time 0. 18 hrs thereafter, they were administered 10 ml/kg 0.9% saline. Mice were sacrificed at 0, 18, or 42 hrs after LPS challenge. Kidneys were immediately collected into TRIzol for RNA preparation. Renal function was measured on blood collected at the time of tissue harvest At t=0hr, mice had normal baseline renal function. At t=18hr, mice exhibited early renal injury, At t=42hr, mice had either recovered normal renal function or had persistent renal injury. We collected kidneys from 3 mice per time point. For the 42 hr time point, we collected kidneys from 3 mice with recovered renal function and kidneys from 3 mice with persistent renal injury. Mouse kidneys selected at successive stages of renal injury and recovery following systemic LPS challenge and volume resuscitation following LPS challenge.
2011-07-12 | E-GEOD-30576 | biostudies-arrayexpress
Project description:8 week-old male C57BL6J mice were given Gram-negative endotoxin (LPS O111:B4, 10 mg/kg) intraperitoneally at time 0. 18 hrs thereafter, they were administered 10 ml/kg 0.9% saline. Mice were sacrificed at 0, 18, or 42 hrs after LPS challenge. Kidneys were immediately collected into TRIzol for RNA preparation. Renal function was measured on blood collected at the time of tissue harvest At t=0hr, mice had normal baseline renal function. At t=18hr, mice exhibited early renal injury, At t=42hr, mice had either recovered normal renal function or had persistent renal injury. We collected kidneys from 3 mice per time point. For the 42 hr time point, we collected kidneys from 3 mice with recovered renal function and kidneys from 3 mice with persistent renal injury.
2011-07-12 | GSE30576 | GEO
Project description:The goal of this observational study is to compare anesthetic modalities (intravenous propofol anesthesia with sevoflurane gas anesthesia) in patients who underwent colorectal cancer resection surgery regarding the outcome of acute kidney injury.
The main questions it aims to answer are:
* is there a difference in acute kidney injury incidence in the two anesthetic modalities?
* is there a difference in plasma creatinine between the two anesthetic modalities?
* are there any patient characteristics or intraoperative factors that effect the incidence of acute kidney injury in either anesthetic modality?
The study will analyze data from the CAN clinical trial database. (Cancer and Anesthesia: Survival After Radical Surgery - a Comparison Between Propofol or Sevoflurane Anesthesia, NCT01975064)
| 2751857 | ecrin-mdr-crc
Project description:Mice kidney tissue: control vs. acute kidney injury
| PRJNA693259 | ENA
Project description:Array Design; Mouse Compugen 22K Spotted Oligo Author; Sean Grimmond Common Reference (Yes/No, ID); Yes Mouse universal Reference (Stratagene) Concentration; 100 Data processing/normalization; Lowess Normalisation GeneSpring) Developmental Stage; embryonic Diseased/Normal; normal Dye Swap; red/green Experiment Type; time course Genetic Characteristic; Wild type Image Analysis Software; Imagene5.5 (Biodiscovery) Labeling Protocol; Amino Allyl Message Amp- Ambion Organ/Organism part; kidney Organism; Mus Musculus RNA type; aRNA Message Amp-ambion Tissue Type; Pool of whole organs Organization; IMB, Uni of QLD, Brisbane Australia Sample Source; primary tissue Sampling Method; Dissection of whole organ Sex; Pool of both sexes Strain/Cell-line; CD1 Series_overall_design: To account for dye swap, the signal channel and control channel measurements for each sample were reversed. A Lowess curve was fit to the log-intensity versus log-ratio plot. 20.0% of the data was used to calculate the Lowess fit at each point. This curve was used to adjust the control value for each measurement. If the control channel was lower than 10 then 10 was used instead. Specific samples were normalized to one another: sample(s) 1-38 were normalized against the median of the control sample(s) 1-38. Each measurement for each gene in those specific samples was divided by the median of that gene's measurements in the corresponding control samples. Keywords: time-course
2005-07-20 | GSE2282 | GEO
Project description:Time-course transcriptome profiling in vasopressin-treated mouse kidney collecting duct mpkCCD
| PRJNA686780 | ENA
Project description:Array Design; Mouse Compugen 22K Spotted Oligo Author; Sean Grimmond Common Reference (Yes/No, ID); Yes Mouse universal Reference (Stratagene) Concentration; 100 Data processing/normalization; Lowess Normalisation GeneSpring) Developmental Stage; embryonic Diseased/Normal; normal Dye Swap; red/green Experiment Type; time course Genetic Characteristic; Wild type Image Analysis Software; Imagene5.5 (Biodiscovery) Labeling Protocol; Amino Allyl Message Amp- Ambion Organ/Organism part; kidney Organism; Mus Musculus RNA type; aRNA Message Amp-ambion Tissue Type; Pool of whole organs Organization; IMB, Uni of QLD, Brisbane Australia Sample Source; primary tissue Sampling Method; Dissection of whole organ Sex; Pool of both sexes Strain/Cell-line; CD1 Series_overall_design: To account for dye swap, the signal channel and control channel measurements for each sample were reversed. A Lowess curve was fit to the log-intensity versus log-ratio plot. 20.0% of the data was used to calculate the Lowess fit at each point. This curve was used to adjust the control value for each measurement. If the control channel was lower than 10 then 10 was used instead. Specific samples were normalized to one another: sample(s) 1-38 were normalized against the median of the control sample(s) 1-38. Each measurement for each gene in those specific samples was divided by the median of that gene's measurements in the corresponding control samples. Keywords: time-course
2010-06-09 | E-GEOD-2282 | biostudies-arrayexpress
Project description:Acute Respiratory Distress Syndrome (ARDS) is a very common clinical entity and a major cause of morbidity and mortality in the critical care setting. Historically, ARDS has been associated with mortality ranging from 40% to 60% . In the US alone,200,000 new cases of ARDS occur every year. ARDS can be associated with different clinical disorders affecting the lungs. A novel ex-vivo swine model developed by our group permits measurements of lung pathophysiology and simultaneous collection of lung and liver tissue for histologic and molecular comparisons during the early phase of the response to endotoxemia. In this preparation, endotoxemia causes a liver-dependent inflammatory response and severe lung injury and dysfunction. We chose swine, as an experimental animal because, like humans, they are especially sensitive to endotoxin and the pathophysiology of the response appears to be similar to that in humans. Gene expression was evaluated in swine liver before and after endotoxin treatment.
2013-01-10 | E-MTAB-1436 | biostudies-arrayexpress
Project description:Purpose: The goal of this study is to identify vasopressin-regulated genes in mouse kidney collecting duct cell line mpkCCD. To explore dynamic regulation of vasoressin-mediated transcriptional regulation, transcriptome of vasopressin-treated cells at four different time points (3h, 6h, 12h, and 24h) were profiled and analyzed. Methods: Total RNAs were isolated from vasopressin-treated mpkCCD cells at different time points (3h, 6h, 12h, and 24h). Three replicates for vehicle- or vasopressin-treated group were generated at each tested time point. cDNA libraries were prepared using a Nextera DNA library preparation protocol. The sequence reads from Illumina HiSeq3000 platform were qualified and quantified at the transcript level using Salmon (0.14.1). Differential expression analysis were performed using edgeR. Results: mRNA profiles of mouse kidney collecting duct mpkCCD cells treated with vasopressin analog (dDAVP) for four different time potins (3h, 6h, 12h, and 24h) were generated using an optimized RNA-Seq workflow. Transcript level quantification using a pseudo-alignment quantification method (Salmon) was performed to calculate transcript abundance in each sample. Then differential expression analysis identified the differentially expressed genes including Aqp2 gene at each time point comparison (dDAVP vs vehicle, FDR < 0.05). In addition, several new vasopressin-responsive genes that have not been elucidated before were identified. Conclusions: This study revealed dynamic changes of vasopressin-responsive gene expression within 24 hours in mouse kidney collecting duct cells. The results from time-course transcriptome profiling identified the known vasopressin-responsive genes and several novel gene that are regulated temporally.
2021-07-22 | GSE163566 | GEO