Serinc1 siRNA_Lentivectors
- Known as:
- Serinc1 siRNA_Lentivectors
- Catalog number:
- i063365c
- Product Quantity:
- 500ng
- Category:
- -
- Supplier:
- ABM
- Gene target:
- Serinc1 siRNA_Lentivectors
Related genes to: Serinc1 siRNA_Lentivectors
- Gene:
- SERINC1 NIH gene
- Name:
- serine incorporator 1
- Previous symbol:
- TDE2
- Synonyms:
- TMS-2, TDE1L, KIAA1253
- Chromosome:
- 6q22.31
- Locus Type:
- gene with protein product
- Date approved:
- 2003-08-21
- Date modifiied:
- 2016-10-05
Related products to: Serinc1 siRNA_Lentivectors
Related articles to: Serinc1 siRNA_Lentivectors
- Serine incorporator 5 (SERINC5) restricts the infectivity of various enveloped viruses, including HIV-1 and severe acute respiratory syndrome coronavirus 2. However, these pandemic viral pathogens have evolved mechanisms to counteract this restriction. Here, we examined the impact of all five human SERINC family members on the seasonal human coronaviruses (hCoVs) 229E and OC43, which account for up to 15% of global mild respiratory infections and can cause severe disease in vulnerable individuals. Our data show that both exogenous and endogenous SERINC1, SERINC3, and SERINC5 significantly reduce OC43 infectivity in human lung and liver cells but have little, if any, effect on 229E. Functional analyses revealed that both the 130-amino-acid ORF4a protein encoded by most laboratory 229E strains and the full-length 219 amino acid ORF4 protein encoded by clinical 229E isolates antagonize SERINC5 by promoting its relocalization to lysosomes and subsequent degradation. Finally, we show that endogenous SERINC5 expression in primary human lung cells inhibits infection by ORF4-deficient but not wild-type hCoV-229E. In conclusion, several SERINC proteins restrict hCoV-OC43, whereas hCoV-229E efficiently counteracts SERINC-mediated restriction by its ORF4/4a accessory proteins to ensure efficient production of fully infectious viral particles. - Source: PubMed
Publication date: 2026/05/29
Xie QinyaNoettger SabrinaLawrenz JanStopper SophieKlute SusanneMünch JanKmiec DorotaWang QingxingSparrer Konstantin M JKirchhoff Frank - Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies. - Source: PubMed
Publication date: 2026/05/02
Qu ChaoYuan XuetaoYang ShutingQiao YifanZhang RenjianzhiWu YunhuaZhu MengkeDu JiayinLi GanZhang RuiSun XuejunLi Xuqi - The metabolism of fatty acids is essential in the initiation and progression of cervical cancer. The objective of this research is to develop a prognostic model associated with fatty acid metabolism and to identify the protein within this framework, with the intention of investigating its function in cervical squamous cell carcinoma (CESC) and its correlation with patient prognosis. - Source: PubMed
Publication date: 2025/11/26
Yang QinliZhang JingShang XiujuanSun BohaoWang TongWu YichenZhu ChunhongXiang WenqingWang Hao - At present, although some studies have offered certain insights into the genetic factors related to unruptured intracranial aneurysms (uIAs), the potential genetic targets associated with uIAs remain largely unknown. Thus, this research adopted Mendelian randomization (MR) analysis to study two genome-wide association studies on uIAs, aiming to determine the reliable genetic susceptibility and potential therapeutic targets for uIAs. - Source: PubMed
Publication date: 2025/01/21
Liu ShumingGuan HuiyuanWang Feng - The primary objective of this study is to develop a prediction model for peritoneal metastasis (PM) in colorectal cancer by integrating the genomic features of primary colorectal cancer, along with clinicopathological features. Concurrently, we aim to identify potential target implicated in the peritoneal dissemination of colorectal cancer through bioinformatics exploration and experimental validation. By analyzing the genomic landscape of primary colorectal cancer and clinicopathological features from 363 metastatic colorectal cancer patients, we identified 22 differently distributed variables, which were used for subsequent LASSO regression to construct a PM prediction model. The integrated model established by LASSO regression, which incorporated two clinicopathological variables and seven genomic variables, precisely discriminated PM cases (AUC 0.899; 95% CI 0.860-0.937) with good calibration (Hosmer-Lemeshow test p = .147). Model validation yielded AUCs of 0.898 (95% CI 0.896-0.899) and 0.704 (95% CI 0.622-0.787) internally and externally, respectively. Additionally, the peritoneal metastasis-related genomic signature (PGS), which was composed of the seven genes in the integrated model, has prognostic stratification capability for colorectal cancer. The divergent genomic landscape drives the driver genes of PM. Bioinformatic analysis concerning these driver genes indicated SERINC1 may be associated with PM. Subsequent experiments indicate that knocking down of SERINC1 functionally suppresses peritoneal dissemination, emphasizing its importance in CRCPM. In summary, the genomic landscape of primary cancer in colorectal cancer defines peritoneal metastatic pattern and reveals the potential target of SERINC1 for PM in colorectal cancer. - Source: PubMed
Publication date: 2024/05/13
Hu MinhuiLuo RuiYang KeliYu YangPan QiwenYuan MingmingChen RongrongWang HuiQin QiyuanMa TenghuiWang Huaiming