Ask about this productRelated genes to: IER5L antibody
- Gene:
- IER5L NIH gene
- Name:
- immediate early response 5 like
- Previous symbol:
- -
- Synonyms:
- bA247A12.2
- Chromosome:
- 9q34.11
- Locus Type:
- gene with protein product
- Date approved:
- 2004-08-23
- Date modifiied:
- 2016-06-13
Related products to: IER5L antibody
Related articles to: IER5L antibody
- Gastric cancer (GC) remains a leading cause of cancer-related deaths worldwide. Circular RNAs (circRNAs) have been increasingly recognized for their role in GC progression, particularly by acting as competing endogenous RNAs (ceRNAs) that regulate miRNA activity. This study aimed to elucidate the regulatory mechanisms of circRNAs in GC.Differentially expressed circRNAs, miRNAs, and mRNAs were identified from Gene Expression Omnibus datasets. Functional enrichment analysis of differentially expressed genes was performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis. A circRNA-miRNA-mRNA regulatory network was constructed based on predicted interactions. The PT-qPCR was used to detect the expression level of circRNAs in GC specimens and cell lines. The effects of hsa_circ_004228 on the GC cell functions were detected by CCK-8, Colony formation, and Transwell assay.The ceRNA network consisted of 9 core circRNAs, 10 core miRNAs, and 23 core mRNAs. Pathway analysis revealed that these mRNAs were primarily enriched in cancer-related pathways, including PI3K-Akt signaling, p53 signaling, and ECM-receptor interaction. Prognostic analysis indicated that high IER5L expression correlated with better survival, whereas high FNDC1, HTRA1, IFIT2, NDUFA4L2, and SERPINE1 expression correlated with poorer prognosis. A ceRNA prognostic subnetwork was established, incorporating 5 circRNAs (hsa_circ_0007094, hsa_circ_0007613, hsa_circ_0008768, hsa_circ_0006089, and hsa_circ_004228) and 4 miRNAs (hsa-miR-765, hsa-miR-198, hsa-miR-125a-3p, and hsa-miR-486-5p) associated with these prognostic mRNAs. The expression levels of hsa_circ_0007094, hsa_circ_0004228, hsa_circ_0007613, hsa_circ_0008768, and hsa_circ_0006089 were significantly upregulated in gastric cancer tissues. Knockdown of hsa_circ_0004228 significantly inhibits the activity, proliferation, migration, and invasion of HGC27 and AGS cells.In conclusion, we identified key circRNAs, miRNAs, and mRNAs involved in GC progression and prognosis, constructing a ceRNA network that provides novel insights into GC pathogenesis. These findings may aid in identifying potential biomarkers for GC diagnosis and prognosis. - Source: PubMed
Publication date: 2026/03/20
Wen JunHe YaqinLiu ZijianLi RuyiZhang Cao - Reproductive traits are critical for improving productivity and profitability in the pig industry, and genome-wide association studies (GWASs) are a powerful tool in detecting genetic markers related to target traits. Genome imputation provides an effective approach to obtain a greater number of genetic markers from low-density sequencing data. China's pig industry recently introduced an imputation panel and is now seeking to determine what types of data are required to meet breeding needs. In this study, we collected and analyzed two pig sequencing datasets, including Yorkshire pig (YY), Landrace pig (LL), and Duroc pig (DD), genotyped by either an SNP chip ( = 816) or genotyping-by-targeted sequencing ( = 314), and applied an imputation strategy before validation in a third dataset ( = 2401). The aim of this study was to identify SNPs associated with reproductive traits and compare imputation results of two different types of data to evaluate whether sample size or marker density more strongly impacts imputation-enabled GWAS performance. Through a GWAS, we identified 73 significant SNPs from imputed Chip data across seven reproductive traits, 94 SNPs from imputed GBTS data across three traits, and 34 SNPs from the combined dataset across seven traits. Seven of these SNPs passed validation and were associated with number born alive, number born healthy, and gestation length. Gestation length (GL) and number born alive (NBA) are the most noteworthy traits. and are high-confidence candidate genes affecting GL and NBA, respectively. In addition to , , , , , , , , , , , , and are associated with GL. Moreover, in addition to , , , , and are associated with NBA. The results of this study indicate that sample size is of greater importance than marker density in imputation strategies and provide beneficial insights into genes affecting pigs' reproductive traits. - Source: PubMed
Publication date: 2026/02/12
Zhou JiekeFu YangZhang YingyingTu WeilongHuang JiLiang YaxuLi BusheZhang HejunLiu YanWang KejunWang HongyangTan Yongsong - - Source: PubMed
Publication date: 2025/07/22
Crespo Jana RMartín-Martín NataliaGarcia-Longarte SaioaCorres-Mendizabal JonCarlevaris OnintzaAstobiza IanireZabala-Letona AmaiaGuiu MarcAzkargorta MikelGonzalez-Lopez MonikaMacías-Cámara NuriaDoan PhuongElortza FélixMendizabal IsabelWestermarck JukkaGomis Roger RErcilla AmaiaCarracedo Arkaitz - To explore novel biomarkers capable of predicting the prognosis of gastric cancer (GC) and investigate the mechanisms underlying the development of GC. - Source: PubMed
Publication date: 2025/04/19
Zhu XiulingCui ZhongyuanLi ShashaShe YingzhenWu Zhixian - Non-small cell lung cancer (NSCLC) is a fatal disease, and radioresistance is an important factor leading to treatment failure and disease progression. The objective of this research was to detect radioresistance-related genes (RRRGs) with prognostic value in NSCLC. - Source: PubMed
Publication date: 2025/01/10
Chen YanliangZhou ChanZhang XiaoqiaoChen MinWang MeifangZhang LishaChen YanhuiHuang LitaoSun JunjunWang DandanChen Yong