TMEM149 Blocking Peptide
- Known as:
- TMEM149 Blocking Peptide
- Catalog number:
- 33r-9996
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- TMEM149 Blocking Peptide
Related genes to: TMEM149 Blocking Peptide
- Gene:
- IGFLR1 NIH gene
- Name:
- IGF like family receptor 1
- Previous symbol:
- U2AF1L4, TMEM149
- Synonyms:
- FLJ22573
- Chromosome:
- 19q13.12
- Locus Type:
- gene with protein product
- Date approved:
- 2003-11-28
- Date modifiied:
- 2015-11-13
Related products to: TMEM149 Blocking Peptide
Related articles to: TMEM149 Blocking Peptide
- Lichen sclerosus (LS) is a common and highly debilitating chronic inflammatory dermatosis that primarily affects genital skin in both females and males. Despite the utility of large genetic studies to reveal pathogenic mechanisms and suggest novel therapeutic targets, the genetic basis of LS remains largely unstudied. - Source: PubMed
Publication date: 2026/03/19
Dand NickRayinda TuntasSilz EevaThomas Laurent FSaklatvala Jake RMcSweeney Sheila MUng Chuin YingChristou EvangelosLewis FionaKettunen JohannesHuilaja LauraBrumpton Ben MHveem KristianLøset MariTasanen KaisaMcGrath John ASimpson Michael ATziotzios Christos - Tumor associated macrophages (TAMs) in Head and neck squamous cell carcinoma (HNSCC), particularly M2-polarized subtypes, are pivotal drivers of tumorigenesis, angiogenesis, and metastasis, contributing to adverse clinical outcomes. Current prognostic markers lack precision, underscoring the need for novel biomarkers and risk stratification models. Single-cell RNA sequencing (scRNA-seq) was applied to profile the transcriptional landscape of TAMs in HNSCC at single-cell resolution. 1,208 M2 TAMs were integrated from scRNA-seq data with bulk RNA sequencing to identify molecular signatures. Weighted correlation network analysis (WGCNA) and Uniform Manifold Approximation and Projection (UMAP) analysis were applied to dissect TAMs heterogeneity and interactions within the tumor microenvironment. experiments validated the efficacy of the prognostic signature model. In this study, high infiltration of M2 TAMs was strongly associated with advanced clinical stages, lymph node metastasis, and reduced overall survival (P<0.001). TCGA datasets were utilized for cross-platform verification. Multivariate Cox regression and survival analyses were performed to establish prognostic relevance. 11 prognostic signature genes (FCGBP, GIMAP5, WIPF1, RASGEF1B, GIMAP7, IGFLR1, GPR35, NCF1, CLECL1, HEXB, IL10) were identified through integrative analysis, which formed the basis of a robust risk stratification model. The distribution of biomarkers in the high-risk group, as determined by the signature we constructed, can serve as a better indicator for assessing poor prognosis. In clinical samples, prognosis signature has the potential to predict the prognosis effectively in patients with HNSCC.M2 TAMs-driven prognostic signature for HNSCC offers a clinically actionable tool for risk stratification and outcome prediction. - Source: PubMed
Publication date: 2025/08/12
Wang JialeLi HuanShi MingruiRen ChenghaoWei WuZhao QiHe XinxinYang ZihuiWei JianhuaYang Xinjie - To investigate the effects of coffee consumption and caffeine intake on cognitive performance in older adults, with a particular focus on the potential mediating role of alkaline phosphatase(ALP). - Source: PubMed
Publication date: 2025/07/01
Li JinruiYu KaiBu FanLi PengHao Lei - The investigation of new strategies to prevent acute viral respiratory infections(ARI) is essential for reducing the global disease burden. Genetic association studies are valuable in identifying the susceptibility risk factors for diseases, and genetic evidence can expedite drug approval. To date, few studies have been conducted to reveal the susceptibility risks of ARI and identify novel drug targets through multi-omics genetic association analysis. This study aimed to integrate traditional Chinese medicine(TCM) into ARI prevention by identifying novel susceptibility risk loci across multi-ancestry populations and screening potential traditional Chinese medicines targeting these loci. First, with influenza and coronavirus disease 2019(COVID-19) as examples, the data of proteomics, genomics, transcriptomics, DNA methylation, and RNA alternative splicing were integrated to screen the susceptibility risk loci for ARI in European, East Asian, and South Asian populations. The screening was conducted by proteome-wide Mendelian randomization, gene-based association analyses, transcriptome-wide association analyses, and SMR & HEIDI methods. Then, SNPnexus was used to analyze the conservation and biological functions of key susceptibility risk targets for ARI. The druggability of these targets was explored by druggability analysis and phenome-wide association analysis. Potential traditional Chinese medicines targeting the druggable key susceptibility risk loci were screened. RESULTS:: showed that COL15A1 was a key susceptibility risk locus for influenza in European populations. MAN1A2 and RAB1A were identified as key susceptibility risk loci for COVID-19 in East Asian populations, while PPIE, MFGE8, VWA2, FCER2, TREML2, BMP8B, U2AF1L4, and IGFLR1 were identified as key susceptibility risk loci for COVID-19 in South Asian populations. In European populations, ABO was a key susceptibility risk locus for COVID-19. The mutations in these loci were highly deleterious and pathogenic. These loci mainly regulated the signaling pathways in the immune system, interleukin family, and some regulated the coagulation cascade, platelet activation, signaling, and aggregation. COL15A1, MAN1A2, RAB1A, PPIE, MFGE8, VWA2, FCER2, TREML2, BMP8B, and ABO were potential preventive drug targets for ARI. TCM with the effects of replenishing Qi and supplementing essence had the potential of targeting the key susceptibility risk loci. This study presents a new research idea for identifying susceptibility risk loci of ARI and a novel prevention strategy of ARI with TCM. - Source: PubMed
Tang Xin-HaoChu Bo-WenDing Chen-YuLi Zi-MoDing Hao-YuChu RongZhang Yi-MiaoTian Xin-YuYue Zeng-Ya-RanWang Xiao-YaZheng Xiao-Hong - IGFLR1 is a novel biomarker, and some evidences suggested that is involved in the immune microenvironment of CRC. Here, we explored the expression of IGFLR1 and its association with the prognosis as well as immune cell infiltration in CRC, with the aim to provide a basis for further studies on IGFLR1. Immunohistochemical staining for IGFLR1, TIM-3, FOXP3, CD4, CD8, and PD-1 was performed in eligible tissues to analyze the expression of IGFLR1 and its association with prognosis and immune cell infiltration. Then, we screened colon cancer samples from TCGA and grouped patients according to IGFLR1-related genes. We also evaluated the co-expression and immune-related pathways of IGFLR1 to identify the potential mechanism of it in CRC. When P < 0.05, the results were considered statistically significant. IGFLR1 and IGFLR1-related genes were associated with the prognosis and immune cell infiltration (P < 0.05). In stage II and III CRC tissue and normal tissue, we found (1) IGFLR1 was expressed in both the cell membrane and cytoplasm and which was differentially expressed between cancer tissue and normal tissue. IGFLR1 expression was associated with the expression of FOXP3, CD8, and gender but was not associated with microsatellite instability. (2) IGFLR1 was an independent prognostic factor and patients with high IGFLR1 had a better prognosis. (3) A model including IGFLR1, FOXP3, PD-1, and CD4 showed good prognostic stratification ability. (4) There was a significant interaction between IGFLR1 and GATA3, and IGFLR1 had a significant co-expression with related factors in the INFR pathway. IGFLR1 has emerged as a new molecule related to disease prognosis and immune cell infiltration in CRC patients and showed a good ability to predict the prognosis of patients. - Source: PubMed
Publication date: 2024/08/14
Jin RanDu FenqiHan XinhaoGuo JunnanSong WenjieXia YixiuYue XinyuYang DaTong JinxueZhang QiujuLiu Yanlong