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Transcriptomic data indicating differential expressed genes between HIV-1 Associated Nephropathy (HIVAN) mouse model (Tg26) and wildtype mice.


ABSTRACT: Tg26 mice are robust models of human immunodeficiency virus 1 associated nephropathy (HIVAN). These mice are useful for HIVAN pathology analysis, and recent studies suggest that the Tg26 mouse model is an excellent model of other chronic kidney diseases. We performed RNA seq analysis of differential gene expression in the kidneys of Tg26 mice. Kidneys were collected from Tg26 mice and wildtype (WT) littermates at 3 months of age. The raw data were analyzed for differential gene expression using a negative binomial generalized linear model in the DeSeq2 software package. We used P-Value ?0.05 and an absolute fold change of 1.5 to identify top 50 upregulated and top 50 downregulated differentially expressed genes between the WT and Tg26 mice. As expected inflammatory genes were among the top differentially regulated genes. Our data provides yet another level of information to help gain a more comprehensive understanding of disease progression and identify potential drug targets for HIVAN and chronic kidney diseases.

SUBMITTER: Chakravarthi VP 

PROVIDER: S-EPMC7186506 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Transcriptomic data indicating differential expressed genes between HIV-1 Associated Nephropathy (HIVAN) mouse model (Tg26) and wildtype mice.

Chakravarthi V Praveen VP   Yerrathota Sireesha S   Radadiya Priyanka P   Bloomer Clark C   Gunewardhana Sumedha S   Sharma Madhulika M  

Data in brief 20200417


Tg26 mice are robust models of human immunodeficiency virus 1 associated nephropathy (HIVAN). These mice are useful for HIVAN pathology analysis, and recent studies suggest that the Tg26 mouse model is an excellent model of other chronic kidney diseases. We performed RNA seq analysis of differential gene expression in the kidneys of Tg26 mice. Kidneys were collected from Tg26 mice and wildtype (WT) littermates at 3 months of age. The raw data were analyzed for differential gene expression using  ...[more]

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