Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Genome-wide tissue gene expression profiling in Juvenile Göttingen Minipigs with customized Agilent microarrays


ABSTRACT: Minipigs have favorable biological characteristics for juvenile toxicity studies to assess efficacy and safety of pediatric drug products. To evaluate at the molecular level the expression of drug targets, drug metabolism pathways or general maturation of organ transcriptomes in minipigs, we used Customized Agilent Micoarrays (Design-ID 050244) for genome-wide gene expression profiling on 9 different tissues from male and female juvenile Göttingen minipigs aged 1 week to 24 months. The gene expression results analyzed in this study are further described in Heckel T. et al. (2015) Functional analysis and transcriptional output of the Göttingen minipig genome. under submission Data of 72 different tissue samples from 9 tissues (cerebral cortex, hypothalamus, cerebellum, liver, kidney, spleen, bone marrow, testis, ovary) and 4 age groups in female (1 week, 4 weeks, 2 months, 4 months) and 5 age groups in male (1 week, 4 weeks, 2 months, 4 months, 2 years) Goettingen minipigs (Ellegaard) were measured. One tissue was measured in 8 technical replicates. The combination of data of female and male pigs could be seen as a kind of biological replicate for most genes.

ORGANISM(S): Sus scrofa

SUBMITTER: Tobias Heckel 

PROVIDER: E-GEOD-71441 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


<h4>Background</h4>In the past decade the Göttingen minipig has gained increasing recognition as animal model in pharmaceutical and safety research because it recapitulates many aspects of human physiology and metabolism. Genome-based comparison of drug targets together with quantitative tissue expression analysis allows rational prediction of pharmacology and cross-reactivity of human drugs in animal models thereby improving drug attrition which is an important challenge in the process of drug  ...[more]

Similar Datasets

2015-12-16 | GSE71441 | GEO
2017-10-22 | E-MTAB-5879 | biostudies-arrayexpress
2018-04-21 | E-MTAB-6664 | biostudies-arrayexpress
2015-12-16 | E-GEOD-71438 | biostudies-arrayexpress
2015-12-16 | GSE71438 | GEO
2010-09-23 | E-GEOD-18298 | biostudies-arrayexpress
2023-04-19 | GSE215843 | GEO
2017-02-15 | E-MTAB-2782 | biostudies-arrayexpress
2024-11-25 | PXD058091 | Pride
2022-12-21 | PXD039024 | Pride