Campbell Moray J
Division of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, 536 Parks Hall, The Ohio State University, Columbus, OH 43210, USA.
Mol Cell Endocrinol. 2017 Sep 15;453:3-13. doi: 10.1016/j.mce.2017.03.011. Epub 2017 Mar 10.
Bioinformatics applies unbiased approaches to develop statistically-robust insight into health and disease. At the global, or "20,000 foot" view bioinformatic analyses of vitamin D receptor (NR1I1/VDR) signaling can measure where the VDR gene or protein exerts a genome-wide significant impact on biology; VDR is significantly implicated in bone biology and immune systems, but not in cancer. With a more VDR-centric, or "2000 foot" view, bioinformatic approaches can interrogate events downstream of VDR activity. Integrative approaches can combine VDR ChIP-Seq in cell systems where significant volumes of publically available data are available. For example, VDR ChIP-Seq studies can be combined with genome-wide association studies to reveal significant associations to immune phenotypes. Similarly, VDR ChIP-Seq can be combined with data from Cancer Genome Atlas (TCGA) to infer the impact of VDR target genes in cancer progression. Therefore, bioinformatic approaches can reveal what aspects of VDR downstream networks are significantly related to disease or phenotype.
生物信息学采用无偏倚的方法，对健康和疾病进行统计学上可靠的深入研究。从全局或“两万英尺”的视角来看，对维生素D受体（NR1I1/VDR）信号传导的生物信息学分析可以衡量VDR基因或蛋白在全基因组范围内对生物学产生显著影响的位置；VDR与骨骼生物学和免疫系统密切相关，但与癌症无关。从更以VDR为中心或“两千英尺”的视角来看，生物信息学方法可以探究VDR活性下游的事件。整合方法可以在有大量公开可用数据的细胞系统中结合VDR ChIP-Seq。例如，VDR ChIP-Seq研究可以与全基因组关联研究相结合，以揭示与免疫表型的显著关联。同样，VDR ChIP-Seq可以与癌症基因组图谱（TCGA）的数据相结合，以推断VDR靶基因在癌症进展中的影响。因此，生物信息学方法可以揭示VDR下游网络的哪些方面与疾病或表型显著相关。
