Recombinant human ICAM1 /CD54 Protein
- Known as:
- Recombinant H. sapiens ICAM1 /CD54 Protein
- Catalog number:
- ic-740
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Proxinobio
- Gene target:
- Recombinant human ICAM1 /CD54 Protein
Related genes to: Recombinant human ICAM1 /CD54 Protein
- Gene:
- ICAM1 NIH gene
- Name:
- intercellular adhesion molecule 1
- Previous symbol:
- -
- Synonyms:
- BB2, CD54
- Chromosome:
- 19p13.2
- Locus Type:
- gene with protein product
- Date approved:
- 1989-04-24
- Date modifiied:
- 2016-01-15
- Gene:
- SMN1 NIH gene
- Name:
- survival of motor neuron 1, telomeric
- Previous symbol:
- SMA@, SMA
- Synonyms:
- BCD541, SMNT, SMA1, SMA2, SMA3, GEMIN1, TDRD16A
- Chromosome:
- 5q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 1996-12-12
- Date modifiied:
- 2019-04-23
- Gene:
- SMN2 NIH gene
- Name:
- survival of motor neuron 2, centromeric
- Previous symbol:
- -
- Synonyms:
- BCD541, SMNC, GEMIN1, TDRD16B
- Chromosome:
- 5q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 1996-12-12
- Date modifiied:
- 2019-04-23
Related products to: Recombinant human ICAM1 /CD54 Protein
Related articles to: Recombinant human ICAM1 /CD54 Protein
- In this retrospective study, the short-term efficacy of the plasma exchange-based artificial liver support system (PE-ALSS) for chronic severe hepatitis B (CSHB) was explored. - Source: PubMed
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Xu HenghanMa JianhuiZhang XiaoyuLiu YangLi HanHu YongjianZhao MingLiu Junying - Elevated prolactin level is associated with an increased risk of coronary artery disease (CAD), probably through promoting vascular inflammation and thrombosis. This study investigated whether prolactin exacerbates atherothrombosis by regulating endothelial dysfunction and platelet activation and further explored the underlying mechanisms. - Source: PubMed
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Li JingrenWang ChongLi ShupingWang YanZhang LijingZhang Jian - This study aimed to investigate the expression of carbonic anhydrase-1 (CA-1) in the aqueous humor of patients with diabetic macular edema (DME) and to explore its correlations with other cytokines and macular structure in a real-world setting. - Source: PubMed
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Liu JieZeng JingxinRen PengfeiKe XiaoLu FangJiang Xiaoshuang - This study aimed to evaluate the therapeutic effect of the traditional Chinese medicine compound Huatan Qushi Huoxue prescription (HQHF) on Metabolic Associated Fatty Liver Disease (MAFLD) and explore its underlying mechanisms through a multi-method approach. - Source: PubMed
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Liu SutongZhang LihuiZhu WanyiMa WeichenZhao QingLiu MinghaoZhao Wenxia - Immune checkpoint blockade (ICB) targeting PD-1/PD-L1 axis has transformed breast cancer treatment, yet how therapy reshapes the tumor microenvironment (TME) through cell-cell communication (CCC) remains unclear. Existing CCC inference methods relying on correlations have difficulty distinguishing genuine signaling from confounded associations. Here, we present a causal inference framework that uses single-cell data and leverages treatment as an instrumental variable to identify genuine CCC networks, referred to as scIVCCC, which infers causal signal transduction across cell types. Applying scIVCCC to single-cell RNA-seq data from 31 breast cancer patients before and after anti-PD-1 therapy, we constructed causal CCC networks linking exhausted T cells to tumor-associated macrophages (TAMs). Our analysis reveals a dual role of T cell-macrophage crosstalk: CD4+ and CD8+ exhausted T cells drive anti-tumor M1-like TAMs activation via TNF-TNFRSF1A, TNFSF14-LTBR, and ICAM1-ITGAL/ITGB2. Conversely, they also induce immunosuppressive M2-like polarization through pathways such as TNF-TNFRSF1B (TNFR2), TNFSF14-TNFRSF14 (HVEM), and RPS19-C5AR1, which likely contribute to therapeutic resistance. Our causal modeling suggests that receptors within these networks, such as C5AR1, TNFR2, and CSF1R, may serve as potential candidates for combination therapies to enhance anti-PD-1 efficacy. Collectively, these findings demonstrate that scIVCCC offers a robust framework for dissecting treatment-induced CCC dynamics and prioritizing actionable targets for clinical translation. - Source: PubMed
Qiu AodongZhang HanRamsey Joseph DAndrews BryanSun BoyangRen ShuangxiaLu MengyaoZhang KunCooper Gregory FLu BinfengChen LujiaLu Xinghua