Ask about this productRelated genes to: PRRG1 Blocking Peptide
- Gene:
- PRRG1 NIH gene
- Name:
- proline rich and Gla domain 1
- Previous symbol:
- -
- Synonyms:
- PRGP1
- Chromosome:
- Xp21.1
- Locus Type:
- gene with protein product
- Date approved:
- 1997-10-16
- Date modifiied:
- 2016-04-27
Related products to: PRRG1 Blocking Peptide
Related articles to: PRRG1 Blocking Peptide
- Gestational diabetes mellitus (GDM) is a common pregnancy complication linked to adverse outcomes, highlighting the need for new diagnostic markers. This study aimed to identify oxidative stress-related genes as potential biomarkers for GDM using integrated bioinformatics and experimental validation. - Source: PubMed
Publication date: 2026/03/06
He HaiyuWu Wen - Vitamin K-dependent γ-glutamic acid carboxylation (Gla) proteins are calcium-binding and membrane-associated, participating in coagulation, bone turnover, and cancer biology. The molecular function of transmembrane proline-rich Gla proteins (PRRGs) remains unexplored. - Source: PubMed
Wu ZhengYe QingZhang ShanHu Li-PengWang Xiao-QiYao Lin-LiZhu LeiXiao Shu-YuDuan Zong-HaoZhang Xue-LiJiang Shu-HengZhang Zhi-GangLiu De-JunLi Dong-XueYang Xiao-Mei - Many years and billions spent for research did not yet produce an effective answer to prostate cancer (PCa). Not only each human, but even each cancer nodule in the same tumor, has unique transcriptome topology. The differences go beyond the expression level to the expression control and networking of individual genes. The unrepeatable heterogeneous transcriptomic organization among men makes the quest for universal biomarkers and "fit-for-all" treatments unrealistic. We present a bioinformatics procedure to identify each patient's unique triplet of PCa Gene Master Regulators (GMRs) and predict consequences of their experimental manipulation. The procedure is based on the Genomic Fabric Paradigm (GFP), which characterizes each individual gene by the independent expression level, expression variability and expression coordination with each other gene. GFP can identify the GMRs whose controlled alteration would selectively kill the cancer cells with little consequence on the normal tissue. The method was applied to microarray data on surgically removed prostates from two men with metastatic PCas (each with three distinct cancer nodules), and DU145 and LNCaP PCa cell lines. The applications verified that each PCa case is unique and predicted the consequences of the GMRs' manipulation. The predictions are theoretical and need further experimental validation. - Source: PubMed
Publication date: 2022/01/15
Iacobas SandaIacobas Dumitru Andrei - To identify a gene signature for the prognosis of breast cancer using high-throughput analysis. - Source: PubMed
Publication date: 2020/11/10
Mo WenjuDing YuqinZhao ShuaiZou DehongDing Xiaowen - The tumor-associated microenvironment plays important roles in tumor progression and drug resistance. However, systematic investigations of macrophage-tumor cell interactions to identify novel macrophage-related gene signatures in gliomas for predicting patient prognoses and responses to targeted therapies are lacking. - Source: PubMed
Publication date: 2019/05/16
Sun XiaoqiangLiu XiaopingXia MengxueShao YongzhaoZhang Xiaohua Douglas