five

Functional study of 14-3-3 protein epsilon (YWHAE) in keratinocytes: microarray integrating bioinformatics approaches

收藏
DataCite Commons2020-08-26 更新2024-07-27 收录
下载链接:
https://tandf.figshare.com/articles/Functional_study_of_14-3-3_protein_epsilon_YWHAE_in_keratinocytes_microarray_integrating_bioinformatics_approaches/10033610/1
下载链接
链接失效反馈
官方服务:
资源简介:
Previously, we detected that 14-3-3 protein epsilon (YWHAE) was involved in the pathogenesis of atopic dermatitis (AD) and tyrosinase-mediated pigmentation. In this study, we aimed to identify critical factors associated with YWHAE in human keratinocytes using high-throughput screening (HTS) approaches to reveal its functions in skin. We overexpressed YWHAE in human HaCaT keratinocytes and then conducted serial HTS studies, including RNA sequencing integrated with antibody arrays and the implementation of bioinformatics algorithms. Cumulatively, these approaches identified several novel genes in keratinocytes associated with the function of YWHAE including KRT9, KRT1, KRT6C, BST2, CIB2, APH1B, ACTC1, IFI27, TUBA1A, CAPN6, UTY, MX2, and MAPK15, based on RNA sequencing data, and MAPK1, MMP2, TYK2, NOS3, and CASP3, based on antibody array data. In particular, CD37 is a unique gene that was detected and validated in all the methods applied in this study. By integrating the datasets obtained from these HTS studies and utilizing the strengths of each method, we obtained new insights into the functional role of YWHAE in skin keratinocytes. The approach used here could contribute to the clinical understanding of YWHAE-associated applications in the treatment of AD disease. AbbreviationsDAVIDthe database for annotation, visualization and integrated discoveryHTSHigh-throughput screeningKEGGKyoto Encyclopedia of Genes and GenomesPPIprotein-protein interactions the database for annotation, visualization and integrated discovery High-throughput screening Kyoto Encyclopedia of Genes and Genomes protein-protein interactions Communicated by Ramaswamy H. Sarma
提供机构:
Taylor & Francis
创建时间:
2019-10-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作