Ask about this productRelated genes to: LAG3 Blocking Peptide
- Gene:
- LAG3 NIH gene
- Name:
- lymphocyte activating 3
- Previous symbol:
- -
- Synonyms:
- CD223
- Chromosome:
- 12p13.31
- Locus Type:
- gene with protein product
- Date approved:
- 1991-06-03
- Date modifiied:
- 2016-10-05
Related products to: LAG3 Blocking Peptide
Related articles to: LAG3 Blocking Peptide
- Chromoblastomycosis (CBM) is a chronic, neglected tropical fungal infection. Its immunopathogenesis, particularly the mechanism underlying its chronicity, remains poorly understood. - Source: PubMed
Publication date: 2026/04/17
Lei KexinTian JieZhang LuGong ZhuoqingLiu WenjieWan ZheWang YangLi RuoyuDong BilinWang Xiaowen - : Hepatocellular carcinoma (HCC) represents an extremely lethal malignancy on a global scale. The clinical significance and molecular mechanisms of the immune-related gene in HCC remain unclear. This study seeks to elucidate the clinical implications and diagnostic utility of in HCC, while further exploring its underlying molecular mechanisms. Expression differences of in pan-cancer and HCC were analyzed using the TCGA and GEO (GSE45267) databases. Its diagnostic efficacy was evaluated by Cox regression, Kaplan-Meier survival curves, and ROC curves. Potential functional pathways were explored through GO, KEGG, and GSEA enrichment analyses. The correlation between and immune cell infiltration, as well as immune checkpoint molecules, was analyzed using the ssGSEA algorithm and CIBERSORTx. In vitro, siRNA interference was employed to knock down expression in Huh-7 and MHCC97H cells. The effects on cell proliferation and RAF1 protein levels were assessed using a CCK-8 assay and Western blot, respectively. : was significantly overexpressed in HCC tissues and was closely associated with aggressive clinical features, including pathological T stage, histological grade, and AFP levels. Multivariate Cox regression analysis confirmed that was an independent risk factor for survival in HCC patients (HR = 1.871). The area under the ROC curve (AUC) was 0.939, demonstrating excellent diagnostic predictive value. Enrichment analysis revealed a significant association with the cell cycle, PPAR signaling pathway, and lipid metabolism pathways. Immune infiltration analysis further revealed that expression was significantly positively correlated with Th2 and TFH cells, as well as key immune checkpoint molecules such as PD-1, CTLA4, and LAG3, suggesting distinct features of immune polarization and an inhibitory microenvironment. In vitro cellular experiments demonstrated that knocking down significantly inhibited the proliferative capacity of HCC cells and reduced RAF1 protein expression. : may promote HCC progression by driving a multidimensional proliferation-metabolism-immunity mechanism. holds promise as a novel biomarker for diagnostic assessment and a potential therapeutic target for HCC patients. - Source: PubMed
Publication date: 2026/03/31
Qu TaimeiTian Lv - Colorectal cancer (CRC) remains a leading cause of cancer mortality, yet no systematic effort has linked druggable CRC driver genes to downstream ion channel effectors. We integrated differential expression analysis, weighted gene co-expression network analysis (WGCNA), and protein-protein interaction (PPI) network pharmacology to identify CRC hub genes and their ion channel connections, validated by dual single-cell perturbation approaches: variational graph autoencoder-based virtual knockout (VGAE-KO) and experimental HCT116 CRISPRi Perturb-seq (6 genes, 8445 cells). WGCNA identified 100 hub genes spanning three functional programs. Ribosomal proteins link to K channels ( → , targetable by EMA-approved ataluren, passed dual validation at 97.8th-98.7th percentile). RNA processing genes connect to Cl channels ( → , strongest signal at 99.8th-99.4th percentile). Immune checkpoint receptors (, ) connect via PPI intermediates to Ca2+ and K channels, targetable by relatlimab (FDA-approved) and varlilumab (Phase 2). This work maps previously unknown links between CRC driver genes and ion channel regulation, with the ataluren-- axis ready for pharmacological testing. - Source: PubMed
Publication date: 2026/04/10
Dong ZhongyuanMeng XuanlinWang Lianghua - Multiplex immunofluorescence (mIF) enables simultaneous visualization of multiple markers on a single slide. High-plex assays (>30 markers) typically rely on oligonucleotide (oligo)-tagged antibodies. Throughput of high-plex, oligo-based assays is limited, and results are not always comparable to gold-standard chromogenic immunohistochemistry (IHC), due to lack of amplification, particularly for immune checkpoint molecules such as PD-1 and PD-L1. In contrast, tyramide signal amplification (TSA)-based mIF improves detection sensitivity and throughput but is limited to fewer markers (5-8 markers). This study aimed to develop a combined oligo- and TSA-based mIF strategy to simultaneously detect 12-14 markers across whole-slide tissue sections, with equivalence to singleplex chromogenic immunohistochemistry (IHC) for each individual marker. - Source: PubMed
Publication date: 2026/04/28
Lai JonathanCavagnini Kyle SSmith MarcusKatemboh KemiSunshine Joel CTaube Janis MEngle Logan L - Residual feed intake (RFI) is a key indicator for assessing feed efficiency in animals. Although olfactory cues are known to influence feeding behavior, their underlying molecular mechanisms in RFI regulation remain unclear. This study characterized the expression profiles of long non-coding RNAs (lncRNAs) and mRNAs in the olfactory tissue of Tianfu Nonghua ducks with divergent RFI phenotypes. RNA sequencing was conducted on olfactory tissue samples from low-RFI (n = 6) and high-RFI (n = 6) individuals. A total of 40 differentially expressed lncRNAs and 157 differentially expressed mRNAs were identified. Target gene prediction revealed 88 putative lncRNA target genes, primarily regulated through trans-acting mechanisms. Functional enrichment analysis highlighted significant involvement in neuroactive ligand-receptor interactions, neurotransmitter transport, and metabolic pathways. Notably, differentially expressed G protein-coupled receptors (GPCRs) were enriched in neuroactive ligand-receptor interaction pathways, suggesting their potential role in modulating olfactory signal transduction. Co-expression network analysis identified 155 lncRNA-mRNA regulatory pairs, with key interactions involving lncRNAs ENSAPLG00000024078.1 and ENSAPLG00000030384.1 and their associated target mRNAs: IQCM, LAG3, GBX2, SLC6A6, and RP1L1. These findings provide novel insights into lncRNA-mRNA regulatory networks within duck olfactory tissue and suggest a potential mechanism by which olfactory signaling may influence feed efficiency. - Source: PubMed
Publication date: 2026/04/23
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