Ask about this productRelated genes to: EIF2S3 Blocking Peptide
- Gene:
- EIF2S3 NIH gene
- Name:
- eukaryotic translation initiation factor 2 subunit gamma
- Previous symbol:
- EIF2G
- Synonyms:
- EIF2gamma, EIF2
- Chromosome:
- Xp22.11
- Locus Type:
- gene with protein product
- Date approved:
- 1994-09-06
- Date modifiied:
- 2016-10-05
Related products to: EIF2S3 Blocking Peptide
Related articles to: EIF2S3 Blocking Peptide
- Colorectal polyps, as crucial precancerous lesions of colorectal cancer (CRC), have incompletely clarified origin and evolutionary mechanisms, which restrict the early prevention and control of CRC. This study aimed to screen core genes regulating colorectal tumorigenesis and construct a reliable diagnostic model for CRC. - Source: PubMed
Publication date: 2026/03/24
He TaoLiang CaixiaLi KuiLi Dagang - : Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer, with poor outcomes following neoadjuvant chemoradiotherapy (NCRT). Neoadjuvant chemoimmunotherapy (NCIT) has emerged as a promising strategy, but reliable predictive biomarkers remain lacking. This study aimed to develop an AI-driven pathomic model for NCIT response prediction and explore its biological mechanisms. : We analyzed 269 H&E-stained whole-slide images (WSIs) from 198 ESCC patients (104 from Tongji Hospital, 94 from TCGA). Using ResNet152, we segmented WSIs into four tissue categories (tumor cells, stroma, lymphocytes, and necrosis), extracted spatially weighted pathomic features, and constructed the ECiT score via logistic regression. An integrated model combining the ECiT score with clinical variables (T stage, P53 status) was developed. Mechanistic analyses were performed using TCGA-ESCA and GSE160269 datasets. : The integrated model achieved AUCs of 0.897 (training) and 0.809 (temporal validation), outperforming clinical (AUC = 0.624) and pathomic-only (AUC = 0.751) models. Mechanistically, a high ECiT score correlated with enhanced immune activation (elevated CD4 memory T cell infiltration), while low scores were linked to endoplasmic reticulum (ER) stress-unfolded protein response (UPR) activation. EIF2S3 was identified as a key molecular mediator, correlating with three pathomic features, UPR activation, and poor prognosis. : This study may offer a preliminary indicator that could assist in personalized clinical decision-making. Correlative evidence suggests that the EIF2S3-mediated ER stress-UPR axis represents a potential candidate therapeutic target to overcome NCIT resistance, generating testable hypotheses to advance precision oncology for resectable locally advanced ESCC. - Source: PubMed
Publication date: 2026/02/26
Zhu KunruiTong JieDuan YaqiLi YimingFeng YanqiHan YuelinXiao XiangtianHan ZhuoyanXia Shu - Accurate normalization of gene expression is crucial in humanized mouse models, in which human cells are engrafted into immunodeficient mice. However, selecting the appropriate housekeeping genes remains a challenge. We aimed to identify and validate robust housekeeping genes for gene-expression analysis for human cells residing in different tissues of human peripheral blood mononuclear cell (hPBMC)-humanized NSG mice. We employed a multifaceted approach combining computational analysis and validation. The expression of 10 candidate genes (, , , , , , , , , and ) was evaluated for stability in human PBMCs using five algorithms (Geomean, Average SD, NormFinder, GeNorm, and BestKeeper). Genes exhibiting significant interspecies variation between human and mouse cell lines were identified. These data, combined with tissue-specific expression analysis in hPBMC-humanized NSG mice exhibiting high engraftment rates (hCD45+ cells >90% in the blood), supported the development of a two-step selection algorithm. This algorithm prioritizes genes with significant interspecies differences and high expression stability, recommending the following tissue-specific housekeeping genes: , heart; , liver and spleen; , lungs and kidneys; and , hPBMCs. Although demonstrated high stability in the blood, its higher human Ct values warrant caution. In the liver, both and proved to be suitable, while demonstrated superior performance in cytokine mRNA analysis. We highlight the importance of considering species- and tissue-specific expression patterns when selecting housekeeping genes for humanized mouse models. Our tissue-specific recommendations can contribute to more accurate and reliable gene-expression analyses, ultimately enhancing the utility of these models in human disease research. - Source: PubMed
Publication date: 2026/01/27
Jo MinseongJeong Seo YuleKyun Mi-LangLee Yeon SuLee JungyunChoi Chang HoonLee Yu BinChoi MyeongjinRho JaerangMoon Kyoung-Sik - MEHMO syndrome (OMIM#300148) is a rare, X-linked, multisystemic condition that predominantly involves endocrinologic and neurologic dysfunctions. Initial naming of the syndrome emphasizes the presentation of Mental disability, Epileptic seizures, Hypogonadism/Hypogenitalism, Microcephaly, and Obesity. This review provides a synthesis of the genetics, genotypes, and phenotypes of publicly available information on EIF2S3 and MEHMO syndrome. Identification and confirmation of variants in the gene EIF2S3 as the genetic underpinning of the syndrome's pathophysiology and reports of additional cases suggest a consideration for a re-definition of the acronym and a re-classification of the condition along with others as eIF2-related neuroendocrinopathies. This would allow for more standardized and encompassing characterization of the group of eIF2-related disorders, that in turn would support and continue to spur further research progress in basic pathophysiology, disease diagnosis and monitoring, and biomarker and therapeutic discoveries. - Source: PubMed
Publication date: 2025/11/03
Dang Do An NNavid FatemehYoung-Baird Sara K - Gastric signet ring cell carcinoma (GSRCC) is a distinct subtype of gastric cancer with unique epidemiological and pathogenic characteristics. However, its prognostic features and molecular landscape remain poorly understood, limiting the development of targeted therapies. In this study, we analyzed clinical data from over 10,000 patients with gastric cancer treated at Zhejiang Cancer Hospital between January 2010 and December 2019. A comprehensive proteomic analysis was conducted on 112 GSRCC patients with a signet ring cell content exceeding 70%, identifying 7322 proteins. This study established a tissue-specific peptide spectral library, representing the most extensive proteomic atlas of GSRCC to date. We identified four novel proteomic subtypes: metabolism, microenvironment dysregulation, migration, and proliferation. Furthermore, PRDX2 and DDX27 emerged as potential prognostic biomarkers, which were further validated in an independent cohort of 75 patients. Molecular profiling of 79 cases that lacked expression of established gastric cancer treatment targets and biomarkers revealed significant tumor heterogeneity. Unsupervised clustering identified three distinct proteomic clusters, with cluster 2 exhibiting the poorest prognosis. Additionally, we identified four potential drug targets, including PFAS, EIF2S3, EIF6, and NFKB2. Molecular docking analysis suggested that neratinib, a clinically approved drug, could serve as a promising therapeutic agent for GSRCC, offering new avenues for clinical intervention. - Source: PubMed
Publication date: 2025/06/14
Jin ZhiyuanYuan LiMa YuboYe ZuZhang ZhaoWang YiHu CanDong JinyunZhang XinuoXu ZhiyuanDu YianGuan XiaoqingPan GuangzhaoTian SichaoLi JuanZhang RuiwenQin Jiang-JiangCheng Xiangdong