Identifying key genes for diabetic kidney disease by bioinformatics analysis

BACKGROUND: There are no reliable molecular targets for early diagnosis and effective treatment in the clinical management of diabetic kidney disease (DKD). To identify novel gene factors underlying the progression of DKD. METHODS: The public transcriptomic datasets of the alloxan-induced DKD model...

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Detalles Bibliográficos
Autores principales: Xu, Yushan, Li, Lan, Tang, Ping, Zhang, Jingrong, Zhong, Ruxian, Luo, Jingmei, Lin, Jie, Zhang, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585855/
https://www.ncbi.nlm.nih.gov/pubmed/37853335
http://dx.doi.org/10.1186/s12882-023-03362-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585855/
https://www.ncbi.nlm.nih.gov/pubmed/37853335
http://dx.doi.org/10.1186/s12882-023-03362-4

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