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accession-icon GSE17649
Expression data from mouse liver after Acetaminophen intoxication
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon

Description

Acetaminophen (APAP) is the most widely used analgesic in the United States. Its acute overdose causes liver damage by inducing localized centrilobular cell death. Because of widespread use, APAP toxicity has become the most frequent cause of acute liver failure. Many factors have been associated with the susceptibility of APAP-induced liver injuries, however, few of them have been confirmed and used in the clinical setting.

Publication Title

An integrative genomic analysis identifies Bhmt2 as a diet-dependent genetic factor protecting against acetaminophen-induced liver toxicity.

Alternate Accession IDs

E-GEOD-17649

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE104426
Anti-GBM mouse model protection effect by DDR1 inhibitors
  • organism-icon Mus musculus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon

Description

A total of 40 female mice 129/SV aged 3-6 months and weighting 18-25 g were used (Janvier, Le Genest-St-Isle, France). NTS was injected in mice (10 l/gBW/day) during three consecutive days. The total number of mice was divided to five treatment groups as followed: 8 mice were injected with PBS and fed with vehicle, 8 mice were injected with NTS and fed with vehicle, 8 mice were injected with NTS and fed with low dose DDR1i, 8 mice were injected with NTS and fed with high dose DDR1i and 8 mice were injected with NTS and fed with Imatinib. All treatments were provided by oral gavage. Treatment was started one day [PM{1}] prior first injection of NTS or PBS. The average food intake was controlled by weighing the food every three days. Mice were found to consume about 4g/day/mouse [PM{2}] which was similar to all groups.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-104426

Sample Metadata Fields

Sex, Specimen part, Treatment

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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