Anti-Mouse CD3e FITC 100 ug
- Known as:
- Antibody toMouse CD3e fluorecein 100 ug
- Catalog number:
- 11-0031-82
- Category:
- -
- Supplier:
- eBioscience
- Gene target:
- Anti-Mouse CD3e FITC 100
Related genes to: Anti-Mouse CD3e FITC 100 ug
- Gene:
- CD3E NIH gene
- Name:
- CD3e molecule
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 11q23.3
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2019-04-23
Related products to: Anti-Mouse CD3e FITC 100 ug
Related articles to: Anti-Mouse CD3e FITC 100 ug
- : Burn wounds are associated with delayed healing, infection, and pathological scarring. Effective repair requires tightly regulated immune and oxidative stress responses, including macrophage polarization. This study evaluated the association of the photosensitizer Rose Bengal, delivered in a hydrogel vehicle, with macrophage polarization and oxidative stress after burn injury. : Three female red Duroc pigs underwent full-thickness contact burns followed by excision and autografting. Wounds received 20% Pluronic F-127 hydrogel containing 0.1% Rose Bengal sodium, hydrogel alone, or PBS (phosphate-buffered saline) on days 1, 7, and 14 post-burn. Biopsies from days 7 and 120 were analyzed by immunohistochemistry for pan-macrophage marker, CD206 (M2 macrophages), CD3E (T-cell infiltration), and 4-hydroxynonenal (4-HNE; oxidative stress marker). Mean fluorescence intensity was analyzed using two-way ANOVA with Tukey's post hoc test (mean ± SD, < 0.05). : At day 120, Rose Bengal treatment showed higher pan-macrophage expression (0.80 ± 0.07) compared with PBS (0.62 ± 0.10; = 0.0034), whereas the difference versus hydrogel (0.68 ± 0.07; = 0.0628) was not significant. CD206 expression was similarly higher in Rose Bengal-treated wounds (0.77 ± 0.06) compared with PBS (0.62 ± 0.05; = 0.0277); hydrogel also differed from PBS ( = 0.0287), without a difference between hydrogel and Rose Bengal. For CD3E, a significant main effect of treatment was observed (F(2,12) = 8.346, = 0.0054), with lower values in Rose Bengal versus PBS at day 120 ( = 0.0360). No differences in 4-HNE were detected. : Rose Bengal-hydrogel treatment was associated with increased macrophage presence and enhanced M2 polarization without increased T-cell infiltration. Effects were significant versus PBS but not hydrogel, suggesting Rose Bengal may contribute to a pro-regenerative immune microenvironment without excessive adaptive activation. - Source: PubMed
Publication date: 2026/03/26
Kleinhapl JuliaSong JuquanWang YeNakamoto KanToro GaborBergman IsabelleBranski Ludwik KWolf Steven EAyadi Amina El - Breast cancer is a prevalent malignancy among women worldwide. Understanding its molecular mechanisms is crucial for prevention, early diagnosis, and treatment. Using a dataset of intraoperative radiotherapy (IORT) for breast cancer, we analyzed 21 breast tissue samples from patients who received IORT and 16 samples from those who did not. Principal component analysis was employed to reveal data structure, and differentially expressed genes (DEGs) were identified. We constructed a gene network using weighted gene co-expression network analysis and conducted functional enrichment analysis and gene set enrichment analysis. Immune infiltration analysis and protein-protein interaction network analysis were performed, resulting in gene expression heatmaps and Comparative Toxicogenomics Database analysis. Finally, regulatory microRNAs (miRNA) for core genes were predicted using miRNA prediction websites. A total of 2774 DEGs were identified. Principal component analysis demonstrated the differentiation between IORT and non-IORT samples. DEGs were enriched in key biological processes, such as T-cell receptor signaling, immunological synapse formation, and apoptosis. Gene set enrichment analysis validated the functional enrichment of DEGs. Weighted gene co-expression network analysis constructed 15 modules and identified hub genes. Protein-protein interaction network analysis revealed 4 core genes (CD2, CD3D, CD3G, and CD3E). miRNA prediction identified regulatory miRNAs for these core genes. Comparative Toxicogenomics Database analysis revealed that these core genes are associated with breast tumors and inflammation. Immune infiltration analysis showed a high proportion of Macrophages M0 and Macrophages M2 in the samples and revealed correlations between T cells and neutrophils. These findings suggest that the core genes may play key roles in the pathological changes and immune regulation of breast cancer tissues. CD2 and CD3D may serve as potential immune-related biomarkers for IORT in the treatment of breast cancer, influencing tissue pathological changes in breast cancer patients by regulating immune responses and cell signaling pathways. - Source: PubMed
Li ShenglanFu YubingZhang Huiying - NRF2 modulates tumor immune microenvironment in several cancers. NRF2 is activated in about 50% of high-grade serous ovarian cancer (HGSOC), the most aggressive type of ovarian cancer. Through analyzing data from scRNA-seq (n = 7), bulk RNA-seq (n = 365), and tumor microarray (TMA) of human HGSOC (n = 240) samples, we demonstrated that NRF2 expression correlated with tumor immune microenvironment in HGSOC. Functional pathway enrichment analysis and transcription factors (TFs) prediction showed the functional relevance of NRF2 expression in shaping the immune phenotype of HGSOC. Pathways such as hedgehog and ROS signaling, and TFs including EGR1, ESRRA, SMAD proteins, and SP-family proteins, are implicated in the immune suppressive microenvironment of NRF2 tumors. Immune differentiation analysis showed patients with NRF2 tumors enriched with CD68 have lower survival (p = 0.038) than those with CD68 tumors, whereas NRF2 tumors enriched with immune-activated markers such as CD3E and CD80 exhibit a better prognosis. This study is the first that shows classification of HGSOC based on NRF2 levels, highlights new biomarkers, and suggests IHC-labeling and genomic evaluation of NRF2 and immune markers for better prognosis. - Source: PubMed
Publication date: 2026/04/28
Hamad Samera HKatz ChelseaToma HelenMurakami KosukeBendjilali NasrineZhu GordShojaei HadiFang LanlanLeung SamuelKoebel MartinKaraduman HuseyinAbinader OliverMitra RamkrishnaKrill LaurenChu ChristinaWarshal David PWang Yemin - The development of anti-CD3 antibody-based T cell engager therapeutics has improved the treatment of various malignancies, yet the challenge of achieving tumor-specific targeting while minimizing on-target off-tumor effects in normal tissues remains a substantial hurdle. One promising strategy to address this issue involves engineering antibodies with conditional pH-dependent binding affinities, capitalizing on the acidic microenvironment characteristics of tumors (pH ~ 6.5-6.8) compared to the neutral pH of healthy tissues (pH ~ 7.4). In this study, we focus on the pH-engineering of antibody binders against the human CD3 antigen, a critical component of T cell activation, to achieve preferential binding at acidic pH. Using molecular dynamics (MD) simulations on the reported CD3ɛ antibody binder 40G5c, we shed light on possible molecular mechanisms of the pH-responsiveness of key mutations and their impact on the overall binder structure at physiological or acidic pH. Our study highlights how MD has emerged as a powerful tool to guide and explain intrinsic pH-dependent molecular mechanisms in antibody engineering. Lastly, we report that our engineered CD3 binders preferentially bind and activate T cells under acidic pH conditions and display favorable affinity and pH-window profiles. - Source: PubMed
Publication date: 2026/04/27
La Sala GrégoryKroell Katharina BPincha MuditaGassner ChristianDeho LorenzoMoessner EkkehardGueripel XavierBorin NicoleClassen MoritzBenz JörgBujotzek AlexanderKlein ChristianGeorges GuyHugenmatter AdrianLiedl Klaus RVangone Anna - This study aimed to identify key molecular signatures and therapeutic targets in early sepsis through integrated bioinformatics analysis. - Source: PubMed
Publication date: 2026/03/23
Gai XiaoweiLi YaqingWang YananGao DanWu ShanshanGeng YananZhang JiaminYao MinghuiYao GaiqiWang Qiuyan