Ask about this productRelated genes to: HAVCR2 Blocking Peptide
- Gene:
- HAVCR2 NIH gene
- Name:
- hepatitis A virus cellular receptor 2
- Previous symbol:
- -
- Synonyms:
- Tim-3, TIM3, FLJ14428, TIMD3, CD366
- Chromosome:
- 5q33.3
- Locus Type:
- gene with protein product
- Date approved:
- 2002-12-04
- Date modifiied:
- 2018-06-27
Related products to: HAVCR2 Blocking Peptide
Related articles to: HAVCR2 Blocking Peptide
- To observe the effects of moxibustion at "Shenshu" (BL23) and "Zusanli" (ST36) on the T-cell immunoglobulin and mucin domain-containing molecule 3/galectin-9 (Tim-3/Gal-9) signaling pathway and macrophage polarization in rats with rheumatoid arthritis (RA), so as to explore the mechanism by which moxibustion ameliorates synovial inflammation in RA. - Source: PubMed
Zhong Yu-MeiGuo Yan-DingLuo KunYang XinMa Wen-BinZhou Hai-Yan - Realgar is an arsenic-containing mineral medicine and a key component of Realgar-Indigo naturalis formula, an oral traditional Chinese medicine preparation clinically used in China for acute promyelocytic leukemia (APL), a biologically distinct subtype of acute myeloid leukemia (AML). Realgar Transforming Solution (RTS) is a microbially processed realgar preparation. Its activity in AML stem cell-like contexts outside APL remains insufficiently defined, particularly in cell-line-derived CD34CD38 LSC-like models. - Source: PubMed
Publication date: 2026/05/24
Wang TengLiu WeilinLyu ChunyiLuo YunxiaoTang XinyuHan ChenXu Ruirong - Interstitial lung disease (ILD) is an important adverse event related to deruxtecan-based antibody-drug conjugates (DXd ADCs). Understanding mechanisms and translationally relevant preclinical models remain incompletely defined. Here, we established a reproducible cynomolgus monkey model of DXd ADC-related ILD and performed the first integration of bronchoalveolar lavage fluid (BALF) extracellular vesicle (EV) proteomics with lung single-cell RNA sequencing (scRNA-seq). Weekly intravenous administration of a target-nonbinding human IgG1 DXd ADC to cynomolgus monkeys for 12 weeks consistently induced interstitial pneumonitis in all animals, with radiologic abnormalities emerging by Week 6 and progressing thereafter. Longitudinal SomaScan-based proteomic analyses revealed a pronounced and selective increase in differentially expressed proteins (DEPs) in BALF-derived EVs from Week 6 onward, exceeding changes observed in plasma or bulk BALF. Gene Ontology analysis showed enrichment of inflammatory, wound repair/regeneration, and extracellular matrix remodeling pathways within the BALF EV compartment. Integration of BALF EV proteomics with lung scRNA-seq demonstrated strong concordance between EV-associated signatures and transcriptional programs in alveolar epithelial, mesenchymal, and immune cell populations. Core injury-associated genes, including FN1, TIMP1, and COL3A1, were broadly upregulated across cell types, along with cell-type-restricted signatures including AT1 cells (BMP4, HMOX2), AT2 cells (CXCL2, SIRPA), fibroblasts (TNC, IGF1), endothelial cells (LCP1, CXCL12), neutrophils (ADAM17), and macrophages (CD84, HAVCR2, CXCL10). Together, this study defines a robust cynomolgus monkey model of DXd ADC-related ILD and identifies BALF EVs as a sensitive, lung-localized molecular readout and a promising translational source of mechanistic insights. - Source: PubMed
Publication date: 2026/05/25
Kumagai KazuyoshiIguchi TakumaKubota KentaroSakurai KenTsuchiya YoshimiChiba Katsuyoshi - Testicular germ cell tumors (TGCTs) are the most common solid malignancies in young men, yet effective biomarkers and therapeutic targets remain limited. The role of lncRNAs in TGCT remains poorly understood at single-cell resolution. - Source: PubMed
Publication date: 2026/05/22
Cao JianZhu FangXu KongrongLiu ZhizhongChen LeiLv ShanshanFan LiqingGuo JieTao MinaLuo YanweiLi GuoliBo Hao - Biological function is mediated by the hierarchical organization of cell types and states within tissue ecosystems. Identifying interpretable composite marker sets that both define and distinguish hierarchical cell identities is essential for decoding biological complexity yet remains a major challenge. Here, we present RECOMBINE, an algorithm that identifies recurrent composite marker sets to define hierarchical cell identities. Validation using both simulated and biological data sets demonstrates that RECOMBINE is robust to hyperparameter variation and data sparsity, and achieves higher accuracy in identifying discriminant markers compared with existing approaches. As a partition-free framework, RECOMBINE is particularly powerful for data sets characterized by continuous cell-state transitions, in which defining discrete boundaries is inappropriate. This capability is demonstrated by its application to zebrafish development, revealing gradual transcriptional transitions across embryonic stages, and to the mouse cerebellum, in which it uncovers transcriptional variation shaped by spatial gradients. When applied to single-cell data and validated with spatial transcriptomic data from the mouse visual cortex, RECOMBINE identifies key cell-type markers and generates a robust gene panel for targeted spatial profiling. It also uncovers markers of CD8 T cell states, including effector memory cells associated with anti-PD-1 therapy response. Finally, using data from the Tabula Sapiens project, RECOMBINE identifies composite marker sets across a broad range of human tissues. Together, these results highlight RECOMBINE as a robust, data-driven framework for optimized marker selection, enabling the discovery and validation of hierarchical cell identities across diverse tissue contexts. - Source: PubMed
Publication date: 2026/05/20
Li XubinNguyen JustinKorkut Anil