FasL
- Known as:
- FasL
- Catalog number:
- 000053A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- FasL
Related genes to: FasL
- Gene:
- FASLG NIH gene
- Name:
- Fas ligand
- Previous symbol:
- APT1LG1, TNFSF6
- Synonyms:
- FasL, CD178
- Chromosome:
- 1q24.3
- Locus Type:
- gene with protein product
- Date approved:
- 1994-12-09
- Date modifiied:
- 2019-04-23
Related products to: FasL
Related articles to: FasL
- Pressure ulcer (PU) typically arises as a chronic cutaneous ulcer stemming from a complex interplay of factors. However, the underlying mechanisms of this condition remain unclear. The aim of this study was to identify inflammatory biomarkers in patients with PU. In this study, PU and normal tissues were collected from 24 patients with PU. An exploratory Olink Inflammation Panel analysis was performed to identify candidate differentially expressed proteins (DEPs) between PU and normal tissue samples from 16 of the 24 patients with PU. A total of 16 candidate DEPs were identified using an unadjusted p < 0.05 threshold between the two groups. Among them, CCL17 had the largest fold change and diagnostic potential with an optimal AUC value (0.75). In addition, CCL17, ANGPT1, FASLG, and VEGFA demonstrated high clinical relevance in the patients with PU. Immunohistochemistry and western blotting using PU tissues obtained from the remaining 8 patients confirmed the decreased expression of CCL17 in PU tissues. In conclusion, CCL17 is a novel potential biomarker for PU pathogenesis and prognosis. - Source: PubMed
Publication date: 2026/09/20
Wu LinjunZhou ShihanLi ShiqinChen YangLuo YingZhang DanCai XuchaoWang ChenmingFan LeiZhu MingliZeng LonghuanZheng Yongke - Egg production performance directly determines the economic viability of indigenous chicken breeding. However, the genetic regulation of multi-stage egg production traits remains difficult to characterize due to their complex and dynamic nature. Here, we integrated a multidimensional GWAS framework, including single-trait GWAS, multi-trait GWAS (MTAG), and longitudinal trajectory-based GWAS (TrajGWAS), to identify stage-specific and shared genetic effects underlying egg production traits in Wannan yellow chickens (WNY). Whole-genome sequencing of 354 WNY hens (10× depth) and quality control yielded 14,253,816 SNPs for analysis. Selective sweep analyses comparing red jungle fowl, commercial layers, and WNY identified a genomic region containing IGF1 under significant selection pressure. Single-trait GWAS identified SNPs 4_57990480 (BMPR1B) and 17_370912 (LOC112531479) associated with egg production across three laying stages (21-30, 31-40, and 21-40 weeks). MTAG further identified loci 8_4336468 (FASLG) and 21_654726 (CHD5) with shared effects across the laying period, whereas TrajGWAS revealed longitudinal associations involving PRKG1 and identified dynamic loci associated with clutch traits, including GRID1. For clutch traits, stage-specific loci were detected for average clutch size (ACS) and maximum clutch size (MCS), including SNP 8_8542036 at 21-30 weeks, PROK1 at 31-40 weeks, and CUL5, ALKBH8 across the entire laying period. These results demonstrate that integrating complementary GWAS strategies improves the resolution of genetic architecture underlying egg production traits by capturing trait-specific, shared, and stage-dependent genetic effects. The identified GWAS loci and selective-sweep candidate regions provide insights into the genetic architecture of egg production traits and breed differentiation. - Source: PubMed
Publication date: 2026/08/26
Ji QianyunWang XiaoShi JiajiaHan LinnanYu HailiangGuo LipingZhang ChenChen Xingyong - The immune system has emerged as a critical factor influencing neurodevelopment in offspring. While this is increasingly well-studied in the context of maternal immune activation (MIA), the relationship between postnatal immune activation and brain development in childhood is far less studied. In the current study, we performed targeted immune proteomics to analyse 356 inflammation-associated proteins and examine whether peripheral immune physiology is associated with multimodal neuroimaging metrics, brain growth centiles, and cortical microstructure, in 5-year-old children. We included 101 typically developing children with immune proteomics and multimodal neuroimaging data covering structural and diffusion-weighted magnetic resonance imaging (MRI) that was modelled with FSL's linked independent component analysis (FLICA) to yield 10 multimodal brain components. For a subset of the analyses utilising immune proteomics and structural brain growth centile data, the sample size was 126 children. We observed consistent negative associations between serum immune proteins and both grey matter volume growth and global cortical thickness; for the latter, associations were statistically significant after false discovery rate correction for CXCL10, IL17A, and LILRB4. Similarly, many immune proteins were associated with increased mean diffusivity across the cortex, most notably LAMP3, NCR1, SIGLEC1, FASLG, and CXCL10 in the right medial orbitofrontal cortex. Collectively, these findings provide the first characterisation of the relationship between immune physiology and brain structure in children, and demonstrate notable associations with global cerebrocortical development. This should be extended by future studies with larger samples and multiple sampling. - Source: PubMed
Publication date: 2026/09/10
Barron AaronRosberg AylinTuulari Jetro JLukkarinen MinnaMerisaari HarriSilver EeroKumpulainen VenlaCopeland AnniSaukko EkaterinaDickens Alex MOresic MatejHyötylainen TuuliaKarlsson LinneaKarlsson HasseWigley Isabella L C MarianiPulli Elmo P - Upper tract urothelial carcinoma (UTUC) is characterized by a high incidence of muscle invasion and distinct molecular heterogeneity, with tumor microenvironment (TME) heterogeneity playing a pivotal role in its malignant progression. However, the spatial distribution patterns of functional cell populations in UTUC and their regulatory mechanisms driving high-grade (HG) and muscle-invasive (MI) progression remain largely unelucidated. Herein, we integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptome sequencing (ST-seq) to systematically characterize the cellular landscape, spatial molecular network, and intercellular communication profile of UTUC tissues. Six tumor cell subpopulations were identified in UTUC, among which SLC14A1⁺ tumor cells were correlated with favorable clinical prognosis, whereas S100A8/9⁺ tumor cells were associated with poor clinical outcomes. Mechanistically, SLC14A1⁺ tumor cells decelerated UTUC progression via modulating cell apoptosis mediated by the FASLG-TNFRSF10B ligand-receptor pair. In contrast, S100A8/9⁺ tumor cells promoted the malignant progression of UTUC by regulating extracellular matrix remodeling and epithelial-mesenchymal transition (EMT) via the CCL19-CCR7, CCN2-EGFR, ADAM28-ITGA4 and CD14-ITGB2 ligand-receptor pairs. Collectively, our study uncovers the cellular and spatial heterogeneity of the UTUC TME, identifies SLC14A1⁺ tumor cells as a tumor-suppressive subpopulation and S100A8/9⁺ tumor cells as a key driver of UTUC malignant progression, and further delineates the core spatial signaling pathways underlying HG and MI progression of UTUC. These findings provide novel prognostic biomarkers and potential therapeutic targets for UTUC, and advance our mechanistic understanding of spatial TME regulation in urothelial carcinoma. - Source: PubMed
Publication date: 2026/09/03
Liu JiangWei YangyangLiu YiSun ShiweiDilixiati DiliyaerZhou ZhouLu XiangyunLu PingZhao YangZhang YuShi - One of the key hallmarks of aging is the age-related decline in immune system function, accompanied by a chronic low-grade inflammation, or "inflammaging". Simultaneously, a reduced capacity of immune cells to recognize and eliminate pathogens, along with immune exhaustion, is also defined as a sign of aging. Cynomolgus macaques () belong to a group of non-human primates evolutionarily close to humans and are often used for preclinical research. - Source: PubMed
Publication date: 2026/08/13
Petrova Viktoria MBulgin Dmitry VRadomskaya Elena YuShevelov Vsevolod AZhukova Darya SChzhu Olga PManakhov Andrey DPopov Alexander VRybtsov Stanislav A