Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hepatic xenobiotic metabolizing enzyme gene expression through the life stages of the mouse

ABSTRACT: Using full-genome arrays, the expression of all XMEs was examined during fetal (gestation day (GD) 19), neonatal (postnatal day (PND) 7), prepubescent (PND30), middle age (12 mon), and old age (18 and 24 mon) in the C57Bl6/J mouse liver and compared to young adults. Fetal and neonatal life stages had a dramatic effect on XME expression compared to the relatively minor effects of old age. At all life stages except PND30 down-regulated genes outnumbered up-regulated genes. The altered XMEs included those in all of the major metabolic phases including phase I (alcohol and aldehyde dehydrogenase and Cyp genes), phase II (aldo-keto reductase, glutathione-S-transferases, sulfotransferases and UDP-glucuronosyl transferases) and phase III (transporters). We have generated a comprehensive catalog of XME hepatic gene changes through the life stages of the mouse that can be used to predict chemicals and chemical classes different life stages are more sensitive to. Some CEL files used in this study have been submitted through GSE21224. Keywords: gene expression/microarray

ORGANISM(S): Mus musculus

PROVIDER: GSE21716 | GEO | 2010/10/01

SECONDARY ACCESSION(S): PRJNA127155

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Hepatic xenobiotic metabolizing enzyme gene expression through the life stages of the mouse

Project description:Using full-genome arrays, the expression of all XMEs was examined during fetal (gestation day (GD) 19), neonatal (postnatal day (PND) 7), prepubescent (PND30), middle age (12 mon), and old age (18 and 24 mon) in the C57Bl6/J mouse liver and compared to young adults. Fetal and neonatal life stages had a dramatic effect on XME expression compared to the relatively minor effects of old age. At all life stages except PND30 down-regulated genes outnumbered up-regulated genes. The altered XMEs included those in all of the major metabolic phases including phase I (alcohol and aldehyde dehydrogenase and Cyp genes), phase II (aldo-keto reductase, glutathione-S-transferases, sulfotransferases and UDP-glucuronosyl transferases) and phase III (transporters). We have generated a comprehensive catalog of XME hepatic gene changes through the life stages of the mouse that can be used to predict chemicals and chemical classes different life stages are more sensitive to. Some CEL files used in this study have been submitted through GSE21224. Keywords: gene expression/microarray We characterized gene expression changes in the developing mouse liver at gestational days (GD) 19), neonatal (postnatal day (PND) 7), prepubescent (PND30), middle age (12 mon), and old age (18 and 24 mon) in the C57Bl6/J mouse liver using full-genome microarrays and compared these changes to that in the adult liver.. We also compared results to GD19, PND32, and PND67 C3H mice. Total RNA was isolated from liver samples and gene expression analyzed using Affymetrix Mouse 430 2.0 GeneChips. Data from 28 samples, four mice in each of the age groups for C57BL/6 and C3H, were analyzed.

2010-10-01 | E-GEOD-21716 | biostudies-arrayexpress

Expression data from the rat knee articular cartilage at different developmental stages

Project description:Age as the primary rise factor could be play an important role in incidence and development of osteoarthritis. Several studies have confirmed some tissue specific microRNA were associated with development of osteoarthritis. But if age related microRNA or miRNA cluster would be involved in pivotal post-transcriptional gene regulation in osteoarthritis is unclear. In view of this, we have an idea that several age-related miRNAs would be screened from the rat knee cartilage at different development ages by miRNAs Microarray analysis. We used microarrays to detail the global programme of gene expression underlying the rat knee cartilage and identified distinct classes of age-related miRNAs during this process. The rat knee articular cartilage were selected at successive stages of the rat developmental for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain homogeneous populations of cartilage at each developmental stage in order to increase the temporal resolution of expression profiles. To that end, we hand-selected cartilage according to the rat developmental stages, i.e. seven time-points: newborn (T0), childhood (T1), youth(T2), adult (T3), middle-aged (T4) early-stage elderly(T5) and latter-stage elderly(T6). The objective of the study is to identify miRNA profile of knee articular cartilage at different developmental ages in rats. Total RNA were extracted from the knee articular cartilage of Sprague-Dawley rats at postnatal day 0(T0), week1(T1), week 4(T2), mon3(T3), mon 6(T4), mon 12(T5), and mon 18(T6). The microRNA profile in the specimens was detected with the Affymetrix GeneChipÂ® miRNA 3.0 Array.

2013-06-26 | E-GEOD-48266 | biostudies-arrayexpress

Timing and cell specificity of senescence drives postnatal lung development and injury

Project description:Senescence causes age-related diseases and stress-related injury. Paradoxically, it is also essential for organismal development. Whether senescence contributes to lung development or injury in early life remains unclear. This work defines the ontogeny of lung senescence and provides an optimal therapeutic window for mitigating neonatal hyperoxic lung injury by clearing senescence.

2022-12-05 | GSE207866 | GEO

Three life stages

Project description:Three life stages

| PRJNA589548 | ENA

Widespread variation in transcript abundance within and across developmental stages of Trypanosoma brucei

2009-09-24 | GSE18049 | GEO

Widespread variation in transcript abundance within and across developmental stages of Trypanosoma brucei

Project description:Whole genome comparison of RNA levels for both protein coding genes and structural RNAs in five different life cycle stages: in vivo slender bloodstream form, in vivo stumpy bloodstream form, cultured bloodstream form, log-phase procyclic culture form and stationary-phase procyclic culture form RNA from three independent biological replicates from five different life cycle stages were hybridized to Nimblegen arrays (Madison,WI USA) that contained 8 probes per open reading frame and 3 probes per structural RNA spotted three times per array

2010-05-22 | E-GEOD-18049 | biostudies-arrayexpress

Microarray analysis of human A549 lung cancer cells treated with brefeldin A, golgicide A, monensin or vehicle control for 8 h or 20 h

Project description:A549 cells were treated for 8 or 20 h using 20 ng/mL brefeldin A (BFA), 5 ÂµM golgicide A (GCA), 10 ÂµM monensin (MON) or the appropriate vehicle control (BFA/EtOH, MON/EtOH, GCA/DMSO).

2017-12-18 | E-MTAB-5627 | biostudies-arrayexpress

Fetal-derived activated CD83+ γδ T cells expand in preterm infants with sepsis.

Project description:Here, we investigated γδ T cells in a longitudinal cohort of preterm neonates during the first year of life. Our data reveal dynamic postnatal maturation patterns of γδ T cell subsets, which are largely age-dependent. We report on the expansion of fetal-derived γδ T cells in preterm neonates with sepsis. Single cell transcriptome analyses identified HLA-DRhigh and CD83+ γδ T cells in neonatal sepsis.

2024-05-08 | GSE245131 | GEO

Rat Life Cycle Kidney Male Gene Expression Data

Project description:The kidney is important for a number of physiological processes including blood filtering, blood pressure regulation and proper excretion of many drugs and xenobiotics. Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well as acute kidney injury that may arise due to the adverse effects of some drugs. Age-related differences in kidney biology, therefore, are a key concern in understanding drug safety and disease progression. We hypothesize that the underlying suite of genes expressed in the kidney at various life cycle stages will impact susceptibility to adverse drug reactions. Therefore, establishing changes in baseline expression data between these life stages is the first and necessary step in evaluating this hypothesis.

2013-07-31 | GSE47068 | GEO

Expression data from NRK-52E cells treated with monuron for 6h, 24h and 72h and rats exposed to monuron for 72h.

Project description:Monuron (1,1-dimethyl-3-(4-chlorophenyl) urea) is a non-selective phenylurea herbicide, widely used in the developing countries, however concerns have been raised about it toxicity and carcinogenicity. Monuron was evaluated by the National Toxicology Program (1988) and shown to be a male rat-specific renal carcinogen; however the mechanism of carcinogenesis is unknown. In this study we have examined the effect of sub-cytotoxic exposure to monuron (250M-BM-5M) at 6h, 24h and 72h on the whole-genome expression profile in a rat proximal renal tubule cell line (NRK-52E). In addition we examined the short term exposure of MON in kidney and liver of exposed rats. We used microarrays to detail the mechanism of toxicity and possibly carcinogenicity of monuron. NRK-52E cells were cultured to confluence on 6-well plates. Cells were then exposed to chlorothalonil dissolved in DMSO (0.1%) at the IC10 concentration at 72h (1.1 M-NM-<M CHL) or DMSO only as control. After 6h, 24h and 72h the medium was removed and RNA was extracted from the cells. Three studies were conducted at each time point. Eight Wistar-derived rats where bred in the Life Science Support Unit at Liverpool John Moores University male rats (190-240g) 7-9 weeks of age were used in this study. Four rats being dosed with MON at 40mg/kg body weight on day 1 and 400mg/kg body weight on days 2 and 3, at 5ml/kg in corn oil. Four control animals were dosed with corn oil at 5ml/kg. Seventy two hours after the last dose all rats were killed by a rising concentration of carbon dioxide, the liver and kidneys quickly removed and immersed in RNAlater.

2015-02-16 | E-GEOD-51163 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data