Recombinant Varicella Zoster Virus ORF9
- Known as:
- Recombinant Varicella Zoster Virus ORF9
- Catalog number:
- RVZV-232A
- Product Quantity:
- 100µg
- Category:
- -
- Supplier:
- SeraLab
- Gene target:
- Recombinant Varicella Zoster Virus ORF9
Related genes to: Recombinant Varicella Zoster Virus ORF9
- Gene:
- FAM3B NIH gene
- Name:
- family with sequence similarity 3 member B
- Previous symbol:
- C21orf11
- Synonyms:
- D21M16SJHU19e, PRED44, 2-21, ORF9, C21orf76, PANDER
- Chromosome:
- 21q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 2000-05-23
- Date modifiied:
- 2016-09-30
Related products to: Recombinant Varicella Zoster Virus ORF9
Related articles to: Recombinant Varicella Zoster Virus ORF9
- Recent studies suggest a link among the gut microbiota, its metabolites, and postpartum depression (PPD); however, the specific effects on host metabolism remain unclear. - Source: PubMed
Publication date: 2026/01/09
Zhang ZhiyuanHu XiaobingTao WeiminMa RuijingZheng YuhanFang XinGao JiamengXu Zhendong - In mice, the uterus undergoes dynamic changes regulated by estrogen and progesterone during the estrous cycle. Proper regulation of these changes is critical for successful pregnancy. The Family with sequence similarity 3 (Fam3) gene family, comprising , , , and , encodes cytokine-like proteins, but their uterine roles remain unclear. This study examined Fam3 expression in the mouse uterus across the estrous cycle and assessed estrogen-dependent regulation. RNA-seq analysis revealed increased , , and expression during proestrus and estrus. Notably, showed dynamic regulation, peaking in these stages. To test estrogen regulation, estradiol was administered to ovariectomized mice, showing maximal expression at 24 h post-injection. ERα antagonist treatment blocked this induction, indicating ERα-mediated regulation. Immunofluorescence localized FAM3D to the cytoplasm of luminal and glandular epithelia, especially in the apical region, with no stromal or nuclear expression. These findings suggest that estrogen and Erα (Estrogen receptor alpha) signaling control Fam3d expression, implicating FAM3D in uterine epithelial function. This study provides novel insights into 's role in uterine physiology and a foundation for exploring its function in reproduction. - Source: PubMed
Publication date: 2025/12/08
Kim HyukjungKim ByeongseokKim JooheeSuh YeonjuLee JiminPark SangokLee Man RyulLee Hoi ChangChoi Youngsok - Colorectal cancer (CRC) ranks third in global cancer diagnoses and is the second leading cause of cancer-related deaths. Identifying novel therapeutic targets and effective prognostic markers is crucial to improve CRC outcomes. This study aimed to investigate the role of FAM3B in relation to clinicopathological features, prognosis, tumor microenvironment, and immune infiltration of CRC. - Source: PubMed
Publication date: 2025/11/03
Huang PengLi PeiZhang ChengshuoZhang Jialin - We pioneer a multimodal framework integrating single-cell RNA sequencing (scRNA-seq), radiomics, and deep learning to decipher dendritic cell (DC)-mediated mechanisms underlying anti-PD-1 response in non-small cell lung cancer (NSCLC). Single-cell RNA sequencing of tumor samples from responders and non-responders identified nine immune cell types, among which DCs displayed significant differences between groups. Cell-cell communication and pseudotime analyses highlighted conventional DC2 (cDC2) and tolerogenic DC (tDC) as key subsets linked to therapeutic outcomes. Four cDC2 marker genes (FAM3B, TFAP2A, RTKN2, and XCL2) and two tDC marker genes (KRT6A and RAB27B) showed predictive value, and experimental validation confirmed reduced cDC2 and tDC abundance in responders, with upregulation of FAM3B, RTKN2, and XCL2, and downregulation of TFAP2A, KRT6A, and RAB27B. DCs also modulated CD8 T cell activity via OSM-IL6ST and IL15-IL15RA signaling. These six genes were incorporated into machine learning models combining transcriptomic (LSTM), clinical (EnhancedClinicalRNA), and radiomic (ResNet50) data. A stacked ensemble learning approach integrating all three modalities achieved superior performance, with an accuracy of 0.97 and an AUC of 0.99. In summary, our results demonstrate that combining single-cell transcriptomics and radiomics through ensemble deep learning enables accurate prediction of immunotherapy response in NSCLC, and identifies six DC-associated marker genes with potential as prognostic biomarkers. - Source: PubMed
Wang QiongDeng LiliJiang DeyueLu TongranWang YushuJia TianQian ZhongqingWang XiaojingWang MeimeiChen Fuliang - This study aimed to identify core genes of Gestational diabetes mellitus (GDM) and explore its immune microenvironment. Using the limma package, we were able to identify differentially expressed genes (DEGs) between GDM and normal placental tissue. Weighted gene co-expression network analysis (WGCNA) and various machine-learning algorithms were subsequently employed to identify core genes that may influence the occurrence of GDM. Analysis was used to evaluate the diagnostic usefulness of the core genes by using the receiver operating characteristic (ROC) analysis method. In gene enrichment analysis, we utilized the CIBERSORT algorithm to assess the immune cell composition in various samples, followed by the application of the Wilcoxon test to evaluate the immune cell content in diabetes samples during pregnancy. Conversely, analysis was done on the relationship between immune cells and core genes. Finally, we used RUN PCA to integrate different data sets and cluster cells with different functions. 527 up-regulated genes were found, and 690 down-regulated were found. Combining the results of the algorithms and ROC analysis, we identified CCL3/FAM3B/IL1RL1 as potential diagnostic biomarkers for GDM, and validated their diagnosibility using an external dataset. The results of the functional enrichment analysis indicated that core genes are associated with immune cells. When compared to pregnant women who were having diabetes, there was a considerable rise in the percentage of macrophages in immunological cells. The expression of three core genes in different cells of different samples showed that the expression of CCL3 was increased in macrophages of GDM. Cell communication analysis showed that macrophage communication was significantly active in GDM, and CCL signal was significantly increased, which mainly played a significant role through CCL3-CCR1 pathway. The findings suggest that CCL3 closely related to GDM occurrence and progression, represent new GDM marker, and that the modification of immune microenvironment plays a significant role in the occurrence of GDM. - Source: PubMed
Publication date: 2025/10/10
Chen MingCao XueyanHuang SijiaYang JiaqiBao JunzeSu Min